Issue |
A&A
Volume 685, May 2024
|
|
---|---|---|
Article Number | A52 | |
Number of page(s) | 32 | |
Section | Interstellar and circumstellar matter | |
DOI | https://doi.org/10.1051/0004-6361/202244005 | |
Published online | 03 May 2024 |
The SPHERE view of the Chamaeleon I star-forming region
The full census of planet-forming disks with GTO and DESTINYS programs★
1
School of Natural Sciences, Center for Astronomy, University of Galway,
Galway
H91 CF50,
Ireland
e-mail: christian.ginski@universityofgalway.ie
2
Leiden Observatory, Leiden University,
PO Box 9513,
2300 RA
Leiden,
The Netherlands
3
Anton Pannekoek Institute for Astronomy, University of Amsterdam,
Science Park 904,
1098 XH
Amsterdam,
The Netherlands
4
INAF, Osservatorio Astrofisico di Arcetri,
Largo Enrico Fermi 5,
50125
Firenze,
Italy
5
Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS,
Laboratoire Lagrange, Bd de l’Observatoire, CS 34229,
06304
Nice cedex 4,
France
6
Université Grenoble Alpes, CNRS, Institut de Planétologie et d’Astrophysique (IPAG),
38000
Grenoble,
France
7
Astronomical Institute, Tohoku University,
Sendai
980-8578,
Japan
8
Institute of Astronomy, University of Cambridge,
Madingley Road,
Cambridge
CB3 0HA,
UK
9
ETH Zurich, Institute for Particle Physics and Astrophysics,
Wolfgang-Pauli-Strasse 27,
8093
Zurich,
Switzerland
10
University Observatory, Faculty of Physics, Ludwig-Maximilians-Universität München,
Scheinerstr. 1,
81679
Munich,
Germany
11
Exzellenzcluster ORIGINS,
Boltzmannstr. 2,
85748
Garching,
Germany
12
Department of Physics and Astronomy “Galileo Galilei” – University of Padova,
Vicolo dell’Osservatorio 3,
35122
Padova,
Italy
13
Dipartimento di Fisica, Università degli Studi di Milano,
Via Celoria, 16,
Milano,
20133,
Italy
14
Observatoire de Genève, Université de Genève,
51 Ch. des Maillettes,
1290
Sauverny,
Switzerland
15
Max-Planck-Institut für Astronomie,
Königstuhl 17,
69117
Heidelberg,
Germany
16
European Southern Observatory,
Alonso de Córdova 3107, Vitacura,
Casilla
19001,
Santiago,
Chile
17
Department of Astronomy, University of Michigan,
323 West Hall, 1085 S. University Avenue,
Ann Arbor,
MI
48109,
USA
18
Division of Liberal Arts, Kogakuin University,
1-24-2 Nishi-Shinjuku, Shinjuku-ku,
Tokyo
163-8677,
Japan
19
Mullard Space Science Laboratory, University College London,
Holmbury St Mary, Dorking,
Surrey
RH5 6NT,
UK
20
Department of Earth and Planetary Sciences, Tokyo Institute of Technology,
2-12-1 Ookayama, Meguro-ku,
Tokyo
152-8551,
Japan
21
Department of Astronomy, Tsinghua University,
Beijing
100084,
PR China
22
Max-Planck-Institut für extraterrestrische Physik,
Giessenbachstrasse 1,
85748
Garching,
Germany
23
Centre de Recherche Astrophysique de Lyon, CNRS,
UCBL, ENS Lyon, UMR 5574,
69230,
Saint-Genis-Laval,
France
24
European Southern Observatory,
Karl-Schwarzschild-Strasse 2,
85748,
Garching bei München,
Germany
25
College of Science, Ibaraki University,
2-1-1 Bunkyo, Mito,
Ibaraki
310-8512,
Japan
26
Department of Astrophysics, University of Vienna,
Türkenschanzstrasse 17,
1180
Vienna,
Austria
27
School of Physics and Astronomy, Monash University,
Clayton Vic
3800,
Australia
28
Hamburger Sternwarte,
Gojenbergsweg 112,
21029
Hamburg,
Germany
29
Institute for Astronomy, University of Hawai’i at Manoa,
Honolulu,
HI
96822,
USA
30
Instituto de Estudios Astrofísicos, Facultad de Ingeniería y Ciencias, Universidad Diego Portales,
Av. Ejército Libertador 441,
Santiago,
Chile
31
Millennium Nucleus on Young Exoplanets and their Moons (YEMS),
Chile
Received:
11
May
2022
Accepted:
21
February
2024
Context. The past few years have seen a revolution in the study of circumstellar disks. New instrumentation in the near-infrared and (sub)millimeter regimes have allowed us to routinely spatially resolve disks around young stars of nearby star-forming regions. As a result, we have found that substructures with scales of ~10 au in disks are common. We have also revealed a zoo of different morphologies, sizes, and luminosities that is as complex as the diversity of architectures found in evolved exoplanet systems.
Aims. We study disk evolutionary trends as they appear in scattered light observations. Scattered light traces the micron-sized particles at the disk surface that are well coupled to the gas. This means that scattered light observations can be used to trace the distribution of the disk gas and its interaction with embedded perturbers.
Methods. We used VLT/SPHERE to observe 20 systems in the Cha I cloud in polarized scattered light in the near-infrared. We combined the scattered light observations with existing literature data on stellar properties and with archival ALMA continuum data to study trends with system age and dust mass. We also connected resolved near-infrared observations with the spectral energy distributions of the systems.
Results. In 13 of the 20 systems included in this study we detected resolved scattered light signals from circumstellar dust. For the CR Cha, CT Cha, CV Cha, SY Cha, SZ Cha, and VZ Cha systems we present the first detailed descriptions of the disks in scattered light. The observations found typically smooth or faint disks, often with little substructure, with the notable exceptions of SZ Cha, which shows an extended multiple-ringed disk, and WW Cha, which shows interaction with the cloud environment. New high S/N K-band observations of the HD 97048 system in our survey reveal a significant brightness asymmetry that may point to disk misalignment and subsequent shadowing of outer disk regions, possibly related to the suggested planet candidate in the disk. We resolve for the first time the stellar binary in the CS Cha system. Multiple wavelength observations of the disk around CS Cha have revealed that the system contains small, compact dust grains that may be strongly settled, consistent with numerical studies of circumbinary disks. We find in our sample that there is a strong anti-correlation between the presence of a (close) stellar companion and the detection of circumstellar material with five of our seven nondetections located in binary systems. We also find a correlation between disk mass, as inferred from millimeter observations, and the detection of scattered light signal. Finally, we find a tentative correlation between relative disk-to-star brightness in scattered light and the presence of a dust cavity in the inner (unresolved) disk, as traced by the system spectral energy distribution. At the same time, faint disks in our sample are generally younger than 2 Myr.
Key words: instrumentation: high angular resolution / techniques: polarimetric / planets and satellites: formation / protoplanetary disks / planet-disk interactions / binaries: visual
Based on data collected at the European Southern Observatory, Chile (ESO Programs 096.C-0333(A), 198.C-0209(F), 098.C-0486(A), 098.C-0760(B), 099.C-0147(B), 099.C-0891(B), 0100.C-0329(A), 0101.C-0303(A), 0102.C-0243(A), 2102.C-5050(A), 1100.C-0481(D), 1100.C-0481(Q), 1104.C-0415(A)), 1104.C-0415(E), 106.21HJ.001.
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
1 Introduction
Circumstellar disks around young stars are the sites of planet formation. The sizes, masses, and compositions of the planets as well as the architecture of the planetary systems being formed are a result of the properties of the planet-forming disks and the processes acting in these disks. However, it is still unclear how the statistics of planetary system architecture and planet populations relate to the observed properties of planet-forming disks. The past few years have seen a surge in spatially resolved observations of such disks, using ALMA at submillimeter wavelengths and high-contrast imaging techniques at optical and near-IR wavelengths. Initially, these observations focused on the largest and brightest disks, mostly around Herbig AeBe stars, for example the HD 135344 B system (Andrews et al. 2011; Muto et al. 2012; Garufi et al. 2014; van der Marel et al. 2016; Stolker et al. 2016), the HD 100546 system (Grady et al. 2001; Pineda et al. 2014; Walsh et al. 2014; Garufi et al. 2016), or the HD 97048 system (Walsh et al. 2016; Ginski et al. 2016; van der Plas et al. 2017).
In the ALMA wavelength range, a number of surveys of individual regions with limited spatial resolution and sensitivity have been carried out, for example Chameleon I (Pascucci et al. 2016), Lupus (Ansdell et al. 2016), σ Orionis (Ansdell et al. 2017), Taurus (Long et al. 2019), and Ophiuchus (Cieza et al. 2019). In near-infrared scattered light, to date such dedicated surveys of nearby star-forming regions are missing, with the majority of the field focusing on the study of individual objects. A first dedicated survey of T Tauri stars from multiple regions was carried out in the Disks around T Tauri Stars with SPHERE (DARTTS-S; Avenhaus et al. 2018; Garufi et al. 2020) program. Furthermore, Garufi et al. (2018) conducted a large literature study, including 58 Herbig and T Tauri stars. However, all of these studies were inhomogeneous, in the sense that they included systems from multiple star-forming regions, and were biased toward bright and extended disks. Even so, their initial results suggest already some intriguing trends. Among other things, they find an anti-correlation between the amount of near-infrared excess and the disk brightness in scattered light and the prevalence of spiral structures in older disks around more massive stars. However, to fully access the complementary information provided by scattered light and millimeter-wavelength observations we need scattered light surveys of individual star-forming regions.
In this study we present polarimetric scattered light observations of 20 members of the Chameleon I cloud (Cha I hereafter), conducted with Spectro-Polarimetric High-contrast Exoplanet REsearch (VLT/SPHERE; Beuzit et al. 2019). The Chameleon complex is one of only a few nearby star-forming regions that is ideally suited for the study of young stellar objects. Located at a distance of ~180 ± 10 pc (Voirin et al. 2018), it is close enough that direct imaging observations are able to resolve circumstellar disks on spatial scales of a few au.
In Sect. 2, we describe the composition of the sample and put it in the context of the young star population of Cha I. In Sect. 3, we describe the observations and the data reduction. We first discuss the polarization of the stellar light and its implications in Sect. 4.1, and then describe the measurements taken in the polarimetric images, as well as global and individual disk properties in Sects. 4.2,4.3, and 5. We highlight the first resolved detection of the inner binary in the CS Cha system in Sect. 5.2.2, and discuss our results in Sect. 6.
Properties of the sample.
2 Sample and stellar properties
Our sample consists of 20 members of Cha I, which we summarize in Table 1. The main selection criterion was the optical brightness of the targets (Gmag < 13 mag), which allowed them to be used as natural guide stars for the SPHERE adaptive optics system. Additionally, we only observed sources for which the spectral energy distribution indicated excess emission in the infrared, suggestive of the presence of a dust disk around the star. The sample contains 90% of the Cha I sources that can be observed by SPHERE. We are therefore nearly complete within the population of solar-like and intermediate-mass stars, with the aforementioned technical threshold translating into a stellar mass of approximately 0.5 M⊙.
A large fraction of our targets (11 out of 20) are part of a stellar system. We illustrate the configuration of the systems in Table 1. The CS Cha and WW Cha systems feature a circumbinary disk. In both cases, the central stars are in tight orbits and the binary nature has been determined spectroscopically. The CT Cha, HP Cha, Sz 41, and SZ Cha systems have a circum-primary disk configuration with wide, low-mass companions (which is itself a binary in HP Cha). DI Cha is a quadruple system with a close companion (named D) and a binary system (BC) at large separations. Finally, the CHX 22, WX Cha, and WY Cha systems are known close visual binaries with mass ratios closer to unity.
All stellar properties were computed based on the recent Gaia DR3 parallax (Gaia Collaboration 2023). In four cases indicated in Table 1, the Gaia parallactic measurement is either uncertain or absent. Three of these cases are close binaries. The stellar masses and ages were computed through a set of PMS tracks (Siess et al. 2000; Bressan et al. 2012; Baraffe et al. 2015; Choi et al. 2016) from the effective temperature and the stellar luminosity calculated from a Phoenix model of the stellar photosphere (Hauschildt et al. 1999) scaled to the de-reddened optical photometry from the literature. The mass accretion rates were calculated from the accretion luminosities updated to Gaia DR3 by Manara et al. (2016a) using the usual relation of (for example, Hartmann et al. 1998). Finally, a crude estimate of the disk dust mass was derived from the ALMA fluxes at 887 µm by Pascucci et al. (2016) using the Gaia distance and the typical assumption (optically thin emission, dust temperature of 20 K, and dust opacity by Beckwith & Sargent 1991).
From Table 1, the bias in stellar mass due to the stellar optical brightness is clear, with 0.5 M⊙ (for VZ Cha and WY Cha) being the lower end of the distribution and 2.4 M⊙ (HD 97048) the upper end. Conversely, the disk dust mass range is large as it spans from ~940 M⊕ (HD 97048) to less than 1 M⊕ (CHX 22). In particular, our sample contains the four objects with the highest dust masses in Cha I (WW Cha, CR Cha, SZ Cha, CS Cha) based on Pascucci et al. (2016).
3 Observations and data reduction
Observations were carried out with the IRDIS (Infra-Red Dual-beam Imager and Spectrograph, Dohlen et al. 2008) and ZIMPOL (Zurich IMaging POLarimeter; Schmid et al. 2018) subsystems of VLT/SPHERE. IRDIS was operated in the dual-beam polarimetric imaging (DPI; Langlois et al. 2014) mode. This mode is used to detect linear polarization signals. For this purpose, a half-wave plate is used to rotate the astrophysical polarization signal in the frame of reference of two wire grid polarizers. The two perpendicular polarization directions are taken simultaneously, such that an ideal subtraction of the (unpolarized) stellar signal is possible. This observation mode is described in detail in de Boer et al. (2020) and van Holstein et al. (2020).
A detailed overview of the observation setup and atmospheric conditions is given in Appendix A. Single star targets, or systems with very low-mass companions were generally observed with a coronagraph in place, obscuring the central star. In all but three cases we used the N_ALC_YJH_S coronagraph for this purpose, which has a nominal inner working angle1 of 92.5 mas (Martinez et al. 2009; Carbillet et al. 2011). Since CV Cha was observed in J-band we used the N_ALC_YJ_S coronagraph (optimized for shorter wavelengths), which has a slightly smaller inner working angle of 72.5 mas. For the K-band observations of HD 97048 and SY Cha we used the N_ALC_KS coronagraph with an inner working angle of 150 mas. For the known binary systems with bright secondary stars PDS 51, WX Cha, and WY Cha we did not employ a coronagraph but rather used short detector integration times (DIT) to avoid saturation.
All data were reduced using the IRDAP (IRDIS Data reduction for Accurate Polarimetry2) pipeline. The data reduction package is described in detail in van Holstein et al. (2020) and will thus only be briefly summarized here. After initial baseline data reduction (sky-subtraction, flat-fielding, bad pixel masking), the images were centered using either a center calibration frame with calibrated satellite spots (coronagraphic data) or a Gaussian fit (noncoronagraphic data). Each polarimetric cycle was then reduced by creating single and double difference images from the individual Q+,Q−,U+, and U− images (signifying different rotation positions of the internal half-wave plate). Instrumental polarization was then removed using a full Mueller Matrix model of the instrument + telescope (see de Boer et al. 2020 for details). After this step residual (astrophysical) stellar polarization could be measured and removed, using the method described by Canovas et al. (2011). This was done in order to remove as much stellar signal as possible thereby enabling a clear view of the surrounding circumstellar material.
The so-created final Stokes Q and U images were then used to generate radial Stokes images Qϕ and Uϕ, following Schmid et al. (2006), but with a flipped sign convention more appropriate for disk scattered light observations as discussed in de Boer et al. (2020). Qϕ contains as positive values all azimuthally aligned polarized signal and as negative values all radially aligned polarization signal. Uϕ contains all polarization signal 45° offset from the radial or azimuthal direction. Since a circumstellar disk will predominantly show single scattering (unless viewed under very high inclinations), the Qϕ image contains most of the actual signal, while the Uϕ image can in principle be regarded as a convenient noise map. All IRDIS observations were flux calibrated by short noncoronagraphic3 flux observations. Neutral density filters of varying throughput were inserted to prevent saturation of the bright central star. Flux observations were typically performed before and after the main science sequence and with shorter DIT.
In addition to the IRDIS near-infrared observations CS Cha polarimetric observations with SPHERE/ZIMPOL in the optical were performed on 2018 December 23 in imaging mode P1 and on 2019 January 20 in field-stabilized mode P2. Images were taken in the slow-polarimetry mode using different filters in two arms of ZIMPOL: the I_PRIM filter in the arm 1 and R_PRIM filter in the arm 2. The star was placed behind a semi-transparent coronagraphic mask (V_CLC_MT_WF) with a radius of 77.5 mas. In total, 20 polarimetric QU cycles (120 exposures with DIT = 10 s) were recorded during the first night and 4 QU cycles (32 exposures with DIT = 58 s) during the second night. Each cycle consisted of four consecutive measurements with different HWP offset angles of 0°, 22.5°, 45°, and 67.5° switching the Stokes parameters +Q, −Q, +U, and −U, respectively. At the beginning and the end of science observations flux measurements were performed with the star offset from the coronagraphic mask using the neutral density filter ND_4.0 and DIT = 20 s (first night) and DIT = 80 s (second night).
The ZIMPOL data were reduced with the data reduction pipeline developed at ETH Zurich. The preprocessing and calibration of raw frames included subtraction of the bias and dark frames, flat-fielding, and correction for the modulation and demodulation efficiency. The instrumental polarization was corrected by normalizing the fluxes in the frames of two opposite polarization states measured in the annulus with inner radius of 100 pixels and outer radius of 200 pixels as described in Engler et al. (2017). All frames were centered by fitting 2D Gaussian function to the intensity gradients of the stellar profile. The final format of the reduced Q and U images is 1024 × 1024 pixels with the pixel size approximately 3.6 × 3.6 mas on sky. The ZIMPOL data of CS Cha are discussed in Sects. 5.2 and 5.2.2.
In addition to the near-infrared and optical data, we present complementary ALMA observations of the SY Cha systems. SY Cha was observed with ALMA in Band 6 during Cycle 6 as a part of project 2018.1.00689.S. The observations were done with the antenna configuration of C43-6 (15.25 min on source), C43-7 (15.25 min on source), and C43-9 (72.75 min on source) with the longest baseline of 16.2 km. The details of the observations and data reduction are presented in Orihara et al. (2023). In this paper, we present the continuum image at the central frequency of 225 GHz with the beam size of 0″.145 × 0″.109 and with the RMS noise level of 0.0175 mJy beam−1.
Degree of linear polarization (DoLP) and angle of linear polarization (AoLP) of the stellar light measured from the SPHERE/IRDIS observations.
4 Results on the global sample
In this section, we describe our sample as a whole. An analysis of the individual sources is given in Sect. 5. All the targets in our sample show some stellar (unresolved) polarization (see Sect. 4.1). However, resolved polarized light is detected in only 13 of the 20 targets. This resolved signal is described in Sect. 4.2 and related to the disk and stellar properties in Sect. 4.3.
Fig. 1 Degree of linear polarization and angle of linear polarization of our target sources (red) and measurements by Covino et al. (1997) using background stars behind the Cha I cloud (gray). Optical measurements by Covino et al. (1997) were extrapolated to the near-infrared regime by Serkowski’s law. Polarization vectors are overlayed on a Herschel/SPIRE image at 160 µm showing the dust in the Cha I cloud. |
4.1 Stellar polarization
Following van Holstein et al. (2021), we used the IRDAP pipeline to measure the degree of linear polarization of the (unresolved) stellar light, which may also include a contribution from the inner disk regions (<8 au). We concentrated in all cases on the primary star in the system. The results are given in Table 2. In Fig. 1, we overplotted the position of our target systems as well as the amount and angle of linear polarization on a Herschel/SPIRE map of the Cha I cloud complex (showing thermal dust emission at 160 µm). For comparison, we plotted background stars (behind the Cha I cloud) with optical polarization measurements from Covino et al. (1997). We note that the angle of linear polarization is similar for all background stars. This is consistent with the stellar light being polarized by interstellar dust grains, with the majority of the dust column density likely located in the Cha I cloud complex itself.
The majority (17 out of 20) of our target systems shows an angle of stellar polarization that is consistent with the background stars observed by Covino et al. (1997). This is an indication that in these systems the source of the polarized stellar light is likely dominated by the same mechanism (i.e., scattering of interstellar dust). The amount of stellar polarization is generally slightly lower than for the background stars observed by Covino et al. (1997). This can be due to the difference in wavelength since linear polarization due to interstellar dust is typically lower in the near-infrared (Serkowski et al. 1975) than in the optical. However, we also see a weak correlation with the distances of the individual systems listed in Table 1. In particular, the degree of linear polarization is the lowest for the CS Cha system and the WY Cha system. WY Cha is the most nearby system in our sample, while this is somewhat uncertain for CS Cha due to the only recently resolved binary nature of the system. However the nominal Gaia parallax of CS Cha places it at ~ 169 pc (i.e., in front of the bulk population of the Cha I cloud). This fits well with the picture that the majority of the interstellar polarization in the Covino et al. (1997) sample is induced as the light passes through the dense Cha I dust cloud. CS Cha and WY Cha, may be located on the outer edges or slightly in front of the Cha I cloud complex given our line of sight.
Three systems, HP Cha, SY Cha and WW Cha, show significantly different angles of linear polarization than the remaining sample. This may indicate that the dominant source of linear polarization is not interstellar dust scattering, but rather is induced locally; in other words, at angular separations smaller than the resolution element of SPHERE in the H-band (~40 mas; i.e., inside of ~8 au). A possible explanation is an inner zone of the circumstellar disk. To cause a polarization in the unresolved stellar light, this inner part of the disk needs to be inclined, otherwise (in a face-on oriented disk) different polarization directions would cancel each other out. This scenario is discussed in great detail in van Holstein et al. (2021). If the polarization signal is indeed caused by an unresolved inclined circumstellar disk, then the angle of polarization should be aligned with the minor axis of the disk, since the majority of the polarized light will be received from the disk ansae at scattering angles close to 90° (see van Holstein et al. 2021 for a radiative transfer model of such a configuration). We however need to caution that the degree of polarization that we measure for our target stars is likely a combination of local and interstellar effects. Thus detailed modelling of the local interstellar polarization would be necessary to derive constraints on the geometry of the inner disks in HP Cha, SY Cha and WW Cha. This is beyond the scope of this study. We also need to caution that for the other 17 systems, we can in principle not rule out that there is additional local polarization of the stellar light, since the minor axis of an inner disk may coincidentally line up with the general direction of the local interstellar polarization.
Fig. 2 Herschel/SPIRE RGB image of the Chal star-forming region constructed from the 150 µm, 250 µm, and 500 µm channels showing the interstellar dust (central panel). SPHERE/IRDIS Qϕ images for all systems with extended circumstellar dust in our sample (surrounding panels). The shown SPHERE data were taken in the H-band, with the exceptions of the HD 97048 and SY Cha system, for which we show K-band data, as well as the CS Cha and CV Cha systems for which we show J-band data. The position of each detected source within the Cha I cloud is indicated with white markers with green border; the positions of systems in our sample with nondetections of circumstellar dust are shown as gray stars with orange borders. For the CS Cha, HP Cha, and CHX 22 systems, the positions of visible stellar multiple components are indicated. |
4.2 Disk geometry
As is clear from Fig. 2, some resolved polarized signal is detected in 13 of our 20 targets. In turn, 12 of these show a polarized light pattern consistent with a disk detection (with the only exception being CHX 22, see Zhang et al. 2023). The details of all individual systems are given in Sect. 5. Here, we extract the aspect ratio of the detected disk in order to define an overall trend for the sample.
The offset of ellipses, tracing iso-separation features on the disk, along the minor axis can be used to calculate the height of the τ = 1 scattering surface of the disk as was shown in de Boer et al. (2016) and Ginski et al. (2016). While in the two aforementioned cases, multiple rings were present, this is not typically the case for the disks in our sample (with the exception of HD 97048 and SZ Cha). However, we can still measure the offset of the ellipses that trace the outer edge of the disks as detected in scattered light, thereby determining the aspect ratio of the outermost region of the scattered light disk. We show in Appendix C that this approach is valid, based on disk model images.
4.2.1 Fitting procedure
For the ellipse fit we follow two separate approaches for the ringed disks and those without such substructure. In both cases we use a sliding aperture, to extract radial profiles in azimuthal bins of 1°. The size of the individual apertures is chosen to reflect the resolution element in the images. For the ringed disks, we fit 1d-Gaussian profiles to extract the ring locations from the radial profiles. For the disks without ringed substructure, we trace the outer disk edge at which the disk signal drops below 3σ as determined from the image background. After the initial measurement, we then bin the data in either case in azimuthal direction in increments of 10°. We note that in case of low S/N, we excluded azimuthal disk regions for individual targets. For the uncertainties of the extracted data points, we use the full-width-at-half-maximum (FWHM) of the Gaussian for the ring-like structures. For the data points that trace the disk edge, we determine the slope of the radial profiles across the edge. The radial uncertainties Δr are then derived as: (1)
With δF represents the standard deviation of the background flux in the image and mprofile the slope of the radial profile. A steep slope (i.e., a sharp disk edge) leads to small uncertainties, while a small slope (i.e., a "fuzzy" disk edge) leads to large uncertainties. For the azimuthal uncertainty, we use a value of 0.1°, consistent with the calibration accuracy of our images. The extracted data points and associated uncertainties for both disk groups are shown in Figs. C.3 and C.4.
We use the extracted data points for a two-step fitting process. Initially, we use the least squares algorithm by Halír & Flusser (1998) to find the best-fitting ellipse, without any prior constraints to the disk parameters. These best-fitting ellipses are overlayed in Figs. C.3 and C.4. We determine the uncertainty of this fit with a least squares Monte Carlo (LSMC) approach. We repeat the fit 105 times. Each time we draw the location of each data point from a normal distribution with the width of the data points uncertainty. We then use the standard deviation of each ellipse parameter across all runs as the uncertainty for that parameter. The results of these initial fits are shown in Table 3. In Appendix C, we demonstrate that this approach reliably recovers the disk inclination and position angle if the disk inclination is larger than ~l0°.
We then use a second step to refine the offset of the disk rings or outer disk edge from the stellar position. For this second step, we constrain the disk inclination and position angle, either to literature measurements from ALMA millimeter observations (typically gas observations) or based on the prior fitting step when no ALMA data is available. We additionally constrain the ring or disk-edge semi-major axis to the value found in the previous step. We then only allow ellipse offsets from the stellar position along the minor axis (i.e., consistent with offsets introduced solely by the projected disk height and not by disk asymmetry). Based on these parameters we generate a grid of elliptical annuli (for the rings) or apertures (for disks without rings), with offsets along the minor axis increasing in steps of 0.1 pixel (1.25 mas). We then find the annulus or aperture for which the contained disk or ring flux is maximized. The uncertainties of the offset positions found in this way are found by finding the range of annulus or aperture positions within the flux uncertainty of the measurement. For the disk rings this is similar to the procedure employed to fit the ring locations for the HD 97048 system in Ginski et al. (2016). For the aspect ratio of the disk without rings we show the validity of this approach in Appendix C. The offset and aspect ratio values found with this second fitting step are also given in Table 3. We note that for the faint disks around Sz 45, TW Cha and VZ Cha the uncertainty of the disk inclination or position angle was large and no complementary ALMA data were available, thus we omitted the second fitting step in these cases.
4.2.2 Sample aspect ratio
Using the fitting procedure described in Sect. 4.2.1, we calculated disk aspect ratios for 11 systems in our sample. However, we note that the aspect ratios for 6 of these systems (CR Cha, CS Cha, SY Cha, SZ 45, TW Cha, VZ Cha) have large uncertainties (see Table 3 for the disk height). We are plotting all measurements in Fig. 3 together with aspect ratio profiles from the literature for the extreme flaring Herbig star HD 97048 (Ginski et al. 2016) and for a sample of T Tauri stars (Avenhaus et al. 2018).
Within our sample we have two disks with multiple ringed structures, HD 97048 and SZ Cha. The disk around HD 97048 is by far the most extended reaching out to ~285 au. In this work, we present new K-band measurements of this system. Compared to the J-band measurements from Ginski et al. (2016) we find at all separations lower aspect ratios. This is an expected effect due to the lower dust opacity at longer wavelengths. We note that the slope between 45 au and 165 au for the system is well consistent with the slope derived from the J-band observation. Similarly, we also find that for large separations the retrieved aspect ratio is no longer consistent with a single power law, likely due to a drop in dust surface density. For the SZ Cha system we measure the aspect ratio in two individual rings. Our results indicate that this disk shows the most extreme aspect ratio within our sample with values of ~0.29 and ~0.37 at ~59au and 113 au, respectively. This is a much larger aspect ratio than found for either the HD 97048 system or for the average sample of T Tauri stars from Avenhaus et al. (2018)4. The slope of the aspect ratio profile of SZ Cha is well consistent with the slope seen for HD 97048.
We find meaningful individual measurements of the disk aspect ratio for the CT Cha, CV Cha and WW Cha systems. Of these WW Cha is well consistent with the average profile of T Tauri stars from Avenhaus et al. (2018), while the disk around CT Cha appears vertically thinner. The disk around CV Cha shows a higher aspect ratio than expected from the literature profiles. There is considerable overlap within the uncertainties for all three systems, so it is not clear if they follow intrinsically similar aspect ratio profiles or if they are significantly different from one another. We note that as shown in Appendix C, our edge-tracing approach to constrain the disk aspect ratio shows a systematic negative offset of ~0.05. If we consider this offset then the CV Cha system becomes consistent with the measurement for the extremely flaring SZ Cha system, while WW Cha would be consistent with the profile for the HD 97048 system.
Generally, we find that all disks with well-constrained aspect ratios show values larger than 0.15 at separations past 50 au (including the bias correction of the measurement method). Conversely we find that for the sample of disks with large uncertainties in their recovered aspect ratios (gray and black data points in Fig. 3), the general trend is that they have low aspect ratios. Within this subsample, the CS Cha system is a special case. Since it is seen under very low inclination (~20°) the result of our edge-tracing fitting approach is intrinsically very uncertain. So it may well be that the system exhibits a larger aspect ratio than what we recover. However, the remaining 5 systems with large uncertainties (CR Cha, SY Cha, SZ 45, TW Cha, VZ Cha), are all seen under intermediate inclinations. In all of these cases, the large uncertainties originate in the comparatively low S/N of these disk detections. As well discussed in Sect. 4.3 this low S/N is linked to the intrinsic faintness of these disks relative to their central star.
Ellipse fitting results and system geometry from the literature.
4.3 Disk polarized scattered light contrast
The scattered-light brightness of a disk is not immediately assessed from the image. In fact, several elements contribute to the amount of detectable NIR flux (stellar luminosity, self-shadowing, disk geometry, scattering phase function). To alleviate this degeneracy, here we calculate the polarized contrast5 of our sources as in Garufi et al. (2014, 2017). This method consists of dividing the observed polarized flux at a certain location by the net stellar flux that is virtually incident on that disk region (that is the stellar flux diluted by the distance). Also, the measurement is performed along the major axis (approximately 90° scattering) to minimize the dependence on the scattering phase function. Finally, a unique number is obtained for each disk by averaging the values obtained over the separations with detected flux.
In Fig. 4, we plot the obtained polarized contrast vs. the near (2.2 µm to 5 µm) and mid-infrared (5 µm to 22 µm) SED slopes for each system. A reversal in the sign from a negative near-infrared slope to a positive mid-infrared slope indicates classical transition disks, which show a lack of flux typically around 10 µm, due to a cavity in the disk. In our target sample, only CS Cha and HD 97048 are such classical transition disks. CS Cha shows by far the most prominent flip between near- and mid-infrared slopes. At the same time it is also clearly the brightest disk in scattered light. HD 97048 equally appears bright in scattered light, though not as extreme as CS Cha. Its shallower near-infrared slope indicates the presence of some near-infrared excess emission and thus some disk material close to the central star.
The only other comparably bright sources within our sample are WW Cha and SZ Cha. WW Cha shows a near flat near-infrared slope indicative of the star still being heavily embedded. In Fig. 2, we see that the disk is indeed still surrounded by either primordial cloud material or material ejected from the system. The position of SZ Cha in Fig. 4 is somewhat puzzling. Both its near- and mid-infrared slopes are average among our sample, indicating that dust is present in the inner and outer system. Although it shows similar SED slopes to several other disks it is significantly brighter (i.e., more comparable to the transition disk HD 97048). This is likely connected to the extreme flaring that we find for the disk in Sect. 4.2.
In general, Fig. 4 shows a trend that disks appear fainter in scattered light if they have steep mid-infrared slopes (<–0.25). In particular all our faint nondetections have a mid-infrared SED slope smaller than –0.5. This is very similar in nature to the finding of Garufi et al. (2017) who studied disks around Herbig stars in scattered light. They found that there is a clear trend for Group I Herbig stars (as defined by Meeus et al. 2001) to be brighter than Group II Herbig stars. Group I is differentiated from Group II by the presence of a strong far-infrared excess in the SED, indicating the presence of a cold dust component. The mid-infrared slope of Fig. 4 is by construction a proxy of the far-infrared excess. Therefore, the trend visible along the vertical direction of the diagram reflects this known behavior for which the removal of material close to the central star increases both the far-IR excess (and mid-IR slope) from the SED and the amount of detectable scattered light from the outer disk.
To understand how the scattered light brightness might depend on other system parameters, we show in Fig. 5 the polarized contrast plotted versus the system dust mass, the disk-mass normalized accretion rate6 (i.e., the disk accretion lifetime), and the system age. In particular the polarized contrast seems to increase with the logarithm of the dust mass. Conversely we did not detect scattered light signal from disks with dust masses lower than 10 M⊕. To quantify this trend we calculated the Kendall τ-coeffìcient (Kendall 1938). We find a correlation with τĸ = 0.65 and a probability of 0.03% that both quantities are unrelated. We note that this correlation between the dust mass and the polarized contrast could be influenced by the fact that we used ALMA Band 7 fluxes to obtain dust mass estimates. However, as recently discussed by Ballering & Eisner (2019) and Ribas et al. (2020) the disk may well be partially optically thick in Band 7 and the measured fluxes may depend not just on dust mass and temperature but also on the viewing geometry.
For the disk accretion lifetime a possible weak correlation between long accretion lifetimes and high polarized contrast is visible. This may be explained if the accretion rate depends strongly on the gap opening in the systems, which in turn leads to stronger illumination of the outer part of the disk. However, CR Cha and SY Cha seem to not follow this trend (i.e., they have very low accretion rates compared to their dust mass); even so, they are significantly fainter in scattered light than CS Cha, SZ Cha and WW Cha, which have all higher accretion rates.
Finally we do not recover a clear correlation between system age and polarized contrast. However, it is noteworthy that out of the group of faint or undetected disks all but two are younger than 2 Myr. The outliers are PDS 51, which is a close binary and has additionally the lowest detected dust mass in our sample (2 M⊕) and HP Cha which is an interacting triple systems (Zhang et al. 2023). Conversely the disks around CS Cha and HD 97048 are the brightest objects in our sample and with the exception of HP Cha also the oldest. For the bright disks WW Cha and SZ Cha does not follow this potential age-polarized contrast relation. For WW Cha this may be related to the strong interaction of the system with the surrounding cloud.
Fig. 3 Aspect ratio for all disks with at least one measured surface height. The black dashed line is the fit to several Τ Tauri stars done by Avenhaus et al. (2018), while the red dash-dotted line is the fit to the SPHERE J-band data of HD 97048 from Ginski et al. (2016). Data points in gray and black have intrinsically very large uncertainties (not displayed, but shown in Table 3). |
Fig. 4 Target colors vs. disk brightness in scattered light. The slopes of the SEDs between K-band and 5 µm and between 5 µm and 22 µm are compared with the polarized-to-stellar contrast, indicated by the symbol color. The disk dust mass is indicated by the symbol size. |
Fig. 5 Polarized contrast as a function of dust mass in the system, the accretion lifetime and the system age. Left: polarized contrast vs. dust mass in the system as measured from ALMA continuum photometry. Middle: polarized contrast vs. accretion lifetime of the systems as calculated from the accretion rate measured by Manara et al. (2019), normalized by the dust mass in each system. Right: polarized contrast vs. system age. |
5 Results on individual systems
The thirteen detections of our sample are very diverse. CHX 22 and HP Cha clearly reveal some evidence of interaction between disk and stellar companions. As described in Zhang et al. (2023), the image of CHX 22 reveals a tail-like structure that surrounds the close binary. The very low disk mass in dust revealed by the ALMA images (<1 M⊕, see Sect. 2) points to a very small disk that is clearly shaped by the presence of the companion. Instead, the individual stars of the HP Cha are clearly more separated, and the primary disk is likely less disturbed by the companion even though a tenuous streamer indicates that an interaction between the two components is in place (Zhang et al. 2023).
The disk of HD 97048 is evidently the most extended disk of the sample, as well as one of the most prominent disk detections in the entire literature. As described by Ginski et al. (2016), alternating rings and gaps are detected from 40 au to 340 au from the star. Conversely, the disks of VZ Cha, Sz 45 and TW Cha are faint and apparently featureless in scattered light (see Garufi et al. 2020,2022, for an initial discussion of SZ 45 and TW Cha). Their faintness is most likely due to a self-shadowed geometry where the disk’s inner region intercepts and reprocesses a large fraction of the stellar photons (Dullemond & Dominik 2004; Garufi et al. 2022).
Hereafter, we focus on the nine sources presenting features that are relevant to this work. These are CR, CS, CT, CV Cha, HD 97048, SY, SZ, VZ, and WW Cha. Subsequently, we discuss the seven nondetections of the sample.
5.1 CR Cha
We detect a smooth and featureless disk around CR Cha. In the noncoronagraphic images, we find a clear signal down to 85.6 mas with no indication of a resolved inner cavity. This is consistent with recent ALMA observations by Kim et al. (2020), who do likewise not recover a cavity in dust continuum emission or gas emission at similar spatial scales. In the deep coronagraphic images we find signal out to 0.6″ (112.5 au) along the disk major axis. This includes the region at 90 au, where there is a clear detection of a gap and a narrow outer ring in the ALMA dust continuum. We do not find significant evidence for this gap in scattered light, but caution that the S/N of our data is low beyond ~0.4″ (79 au). In Fig. 6 we show that the radial profile along the major axis is dropping consistent with the r−2 illumination effect. It is thus possible that a longer observation will detect scattered light signal at larger separations. Indeed CO gas is detected with ALMA out to 240 au (1.28″, Kim et al. 2020).
The disk shows a strong brightness asymmetry between the sorthwest and the southeast side, expected from phase function effects in scattered light. The northwest side is significantly brighter than the southwest, from which we conclude that the northwest side is the near side of the disk, showing strong forward scattering.
5.2 CS Cha
The circumstellar disk around CS Cha was first resolved in Ginski et al. (2018) in the J- and H-band in polarized light. We have now added polarimetric observations with SPHERE/IRDIS in the K-band and with SPHERE/ZIMPOL in the R- and I-band. The disk is detected in all bands, shown in Fig. 7. We also show the extracted profiles along the major axis in Fig. 8.
Based on ellipse fitting in scattered light the disk has an inclination of 21.6° ± 6.4° and a position angle of 257.7° ± 31.1°. We used available high spatial resolution (beam size 0.09″ × 0.06″) ALMA continuum Band 7 data (Kurtovic et al. 2022) to test the inclination and position angle. An MCMC fit of a ring model to the visibilities finds broadly consistent values of for the inclination and 262.6° for the position angle. Since the ALMA data are not affected by illumination and phase function effects we adopt the ALMA values for further analysis.
As is visible in Fig. 8, the disk around CS Cha appears smooth in all bands without distinct morphological features (we omit the R-band in this figure due to its low S/N). We do not resolve the inner cavity (seen in ALMA data and inferred from the SED) in scattered light down to the inner working angle of the employed coronagraphs (i.e., 92.5 mas for IRDIS and 77.5 mas for ZIMPOL). In Fig. 6 we show the radial profile of the disk along the major axis in J-band compared to a r−2 illumination drop-off. Between 0.20″ and 0.25″ the profiles drop off more steeply than the expected illumination function. This is an indication that either the farther-out regions of the disk are strongly shadowed, or that the outer disk is sharply truncated.
From the different observation epochs of CS Cha we extracted flux-calibrated brightness profiles measured in contrast to the star in circular apertures along the major axis of the disk. Since the R-band data present a low S/N detection we excluded them from this analysis.
The disk profiles show a nearly identical slope and contrast in the J- and K-band, while the disk appears slightly fainter in the H-band. In the optical I-band the disk is significantly fainter than in the near-infrared. The deviation of the H-band from the near gray scattering in the J- and K-band is somewhat surprising. We however caution that the H-band data are of significantly worse quality than the J- and K-band data due to the low atmosphere coherence time during the observation (see Table A.1). In particular the coherence time degraded between the start and end of the observation, while flux calibration frames were only taken at the end of the observing sequence. This may have introduced a systematic effect in the photometric calibration of this data set, as was already discussed for the same data in Ginski et al. (2018). However, we would expect such an effect to lead to an over-prediction of the disk brightness rather than an under-prediction.7
Fig. 6 Radial profiles of all detected disks along the major axis. The polarized flux is in all cases normalized to unity and then displayed on a logarithmic scale. The profiles of individual disks have been vertically offset from each other for better readability by 3 units of the y-axis (starting with an offset of 0 for VZ Cha). For the same reason the individual profiles are alternated in red and black. The region directly covered by the IRDIS coronagraph is excluded from the plot, while the region that is still influenced by coronagraph suppression is shaded light gray. Gray dashed lines are added on the right side of the plot to indicate a r−2 drop-off, expected from a scattered light signal. |
5.2.1 CS Cha: Scattered light color analysis
To investigate the dust properties at the scattering surface of the disk we computed the integrated polarized scattered light in an annulus between 0.09″ and 1.0″ for the IRDIS, near-infrared images. The inner radius was chosen to exclude the region covered by the coronagraphic mask, while the outer region was selected such that all disk flux was included. We then computed the brightness ratio of polarized scattered light to stellar total intensity, as measured in the flux calibration frames of each epoch. We find very similar flux ratios of 4.3 × 10−3 and 4.6 × 10−3 for the J- and K-band respectively. As already expected from the disk profiles, we find a lower ratio of 2.4 × 10−3 for the H-band. For the ZIMPOL R- and I-band data we measured the integrated polarized scattered light in an annulus between 0.07” and 1.0”, taking into account the smaller coronagraph size. We find flux ratios of 1.0 × 10−3 and 1.7 × 10−3 for the two bands respectively.
Ignoring the H-band data, which may suffer from calibration issues discussed in detail in Ginski et al. (2018), we find that the scattered light shows near gray color between the J-and the K-band, while the polarized scattered light flux drops sharply between the J- and the I-band. To model this we used the radiative transfer code RADMC3d (Dullemond et al. 2012). We assumed compact spherical grains made of pyroxene silicate (refractive index taken from Dorschner et al. 1995), with a size distribution with a minimum grain size of 0.1 μm and a power law index of −3.5. The maximum grain size amax was left as a free parameter. Optical properties were computed using the Mie theory by utilizing the public code Optool (Dominik et al. 2021). We used the inclination of CS Cha of ~22°, as measured from the SPHERE data with a small flaring exponent of 1.09, to adjust the overall disk brightness to our observations. The remaining model parameters are identical to the ones presented in Tazaki et al. (2019). We show the resulting integrated flux ratios in Fig. 9 and the corresponding synthetic images in Fig. E.1.
For compact grains, the degree of linear polarization drops rapidly once the size parameter (x = 2πa/λ, wherein a is the grain radius) exceeds unity. This explains why the integrated polarized flux decreases for shorter wavelengths for all models. However, the wavelength at which the polarized flux drops depends on the grain radius. The observations suggest this happens between the I and J bands. From model calculations, we found that a model with amax = 0.32 μm successfully reproduces the steep decline in polarized flux between I and J bands. The presence of such small grains is also in harmony with the lack of brightness asymmetry (i.e., forward scattering) in the observed images at near-IR wavelengths shown in Fig. 7. However, we note that the model predicts a slightly blue J–K color, while our observations found a slightly red color. A large exploration of the parameter space may be necessary to fully reconcile our observations with the radiative transfer models, which is outside of the scope of this study. We note that new measurements of the polarization fraction in the disk can add additional strong constraints on the dust grain sizes as was recently demonstrated in the observational study by Ren et al. (2023). Follow-up observations of the CS Cha system to detect the disk in total intensity scattered light should be undertaken in the future to compare to the results found here from the disk color.
Fig. 7 Multi-band polarimetric observations of the disk around the CS Cha system with SPHERE/ZIMPOL and SPHERE/IRDIS. The Alter band is indicated in each image. Displayed are the Qϕ images for all bands. The gray hashed disk in the center marks the size of the coronagraphic mask that was employed. |
Fig. 8 Radial contrast profiles of the CS Cha multi-band observations along the major axis. The contrast is calculated relative to the total intensity of the central star. The filter band is indicated by line style and color. The region covered by the utilized coronagraphs is shaded dark gray, while the region where coronagraph suppression is still significant is shaded light gray. The ZIMPOL coronagraph is smaller than the IRDIS coronagraph, and that the I-band data can be traced farther in. Due to the noisy nature of the R-band data, they are excluded here. |
5.2.2 CS Cha: Stellar binary
The ZIMPOL observation sequences in R- and I-band of the system included short noncoronagraphic sequences for flux calibration purposes. In these sequences, we found that the primary star in the system is for the first time resolved as a visual binary star (Fig. 10). CS Cha A was already known to be a spectroscopic binary from radial velocity observations taken by Guenther et al. (2007). They found that the system may have a mass ratio close to 1 and an orbital period of or longer than 2482 days. However, since they did not cover a full orbit they could not further constrain the orbital parameters. Our ZIMPOL observation finds a flux ratio of 0.31 ± 0.03 in R-band and 0.41 ± 0.02 in I-band. To convert the flux ratio to apparent magnitudes we use the cataloged I-band magnitude of 10.12 ± 0.04 mag (Kiraga 2012) and the R-band magnitude of 10.7 ± 0.3 mag (Smart & Nicastro 2014). Since the binary was unresolved for these measurements we corrected the primary star magnitude following Bohn et al. (2020), using the flux ratio between the two components as input. This yielded corrected I-band and R-band magnitudes of the primary star of 10.49 ± 0.04 mag and 11.0 ± 0.3 mag respectively. Given our measured flux ratio, the secondary then has apparent I- and R-band magnitudes of 11.46 ± 0.06 mag and 12.3 ± 0.3 mag, respectively. Assuming an average system age of 4.2 Myr (see Table 1) and AMES-COND model isochrones (Allard et al. 2001), we find masses of 1.2 M⊙ and 0.8 M⊙ for Aa and Ab, with a typical uncertainty of 0.02 M⊙ based on the age and photometric uncertainty. This uncertainty may be underestimated, given that different isochrone models may well yield slightly different results. The total mass of the two components that we recover is well consistent with the total mass extracted from gas kinematics in the disk by Kurtovic et al. (2022).
To extract the astrometry from the ZIMPOL images we simultaneously fitted two Moffat functions to the binary star. A Moffat function is typically a very good fit to the ZIMPOL point spread function (PSF), especially for fainter stars, since it still has a significant seeing limited halo surrounding the diffraction-limited PSF core. We find a separation of 31.6 ± 1.3 mas at a position angle of 297.7° ± 2.1°. The astrometric calibration of the detector was derived from several visual binary stars with well-known orbits as well as the internal pin-hole calibration grid (Ginski et al., in prep.).
We combined the radial velocity measurements given by Guenther et al. (2007) with our new astrometric measurement to derive the orbit of the CS Cha Aab pair. We use the orbitize! python package for the fit with the included Markov-Chain Monte-Carlo sampler (Blunt et al. 2020; Foreman-Mackey et al. 2013). We set the prior of the combined system mass using a Gaussian distribution with the peak at 2.0 M⊙ and the conservative standard deviation of 0.2 M⊙ in line with the extracted masses of the stellar components from photometry. For the purpose of this orbit fit we adopted the distance of 190 pc (i.e., a parallax of 5.26 mas). However we allow the fit to include the parallax and set a Gaussian prior with a standard deviation of 0.7 mas, which then includes the nominal Gaia DR3 parallax of 5.93 mas. We ran 1.2 × 106 orbit solution with 50 walkers. The results for the semi-major axis, the eccentricity, and the inclination of the orbit are displayed in Fig. F.2.
We find that the binary orbit can be well constrained with the existing data points. The MCMC posterior distributions point to a most likely semi-major axis of 5.0 ± 0.2 au. The orbit shows an intermediate eccentricity of 0.40 ± 0.04. The inclination distribution of the orbits shows a preference for prograde orbits peaking at ~40°. Somewhat unsurprisingly, given our limited astrometric data, we cannot rule out retrograde orbits with an inclination of ~140°. Given the inclination of the circumstellar disk recovered from ALMA data of ~18° (see Table 3), it appears likely that the binary orbit may be somewhat misaligned with the disk plane. However, we note that we cannot rule out lower inclination orbits with our existing data and that indeed the orbital distributions shown in Fig. F.2 still display a high density of solutions toward low inclinations. To illustrate the size of the orbit relative to the detected submillimeter continuum gap in the disk (Francis & van der Marel 2020), we show several orbits over-plotted with the ZIMPOL and ALMA data in Fig. 11.
Given our orbit solutions it is interesting to investigate if the binary companion can be solely responsible for opening the gap in the disk traced by the ALMA data. The cavity radius from ALMA found by Francis & van der Marel (2020) and scaled to our adopted distance of 190 pc is 40 au. The mass parameter μ = M2/(M1 + M2) for the CS Cha system is 0.4. The calculations by Artymowicz & Lubow (1994) indicate that for an eccentric binary system with e = 0.4 (identical to the peak we find in the orbit distribution for CS Cha) and a slightly lower mass companion with μ = 0.3 as well as a disk viscosity of av = 10−3, the outer edge of the cavity should be located at 3.1a. This assumes that the binary orbit is co-planar with the circumbinary disk, which is consistent with at least some of the orbits that we find as discussed earlier. Given the peak of the semi-major axis distribution recovered by our orbit fit of 5 au we would then expect for the inner cavity edge to be located at 15.5 au.
Given that in our case the binary component has possibly an even larger fraction of the total system mass, this value could still shift slightly to larger outer gap radii. The precise disk morphology will furthermore not only depend on the mass ratio of the binary and the eccentricity of the orbit, but also on the relative inclination of binary orbit to disk plane, as has been demonstrated (for example, Price et al. 2018; Ragusa et al. 2021). In any case, our simple estimation indicates a significant discrepancy between the gap radius seen by ALMA and the expected gap radius based on the orbital configuration of the binary. In a recent study (based in part on our ZIMPOL detection of the stellar binary) Kurtovic et al. (2022) further argue that based on the brightness asymmetry observed in the ALMA data (not discussed in our study), an additional planet might be needed to explain the uneven distribution of material in the ring. This would be well consistent with our result that the gap radius appears too large to be caused by the stellar binary alone. We refer to the hydrodynamic simulations by Kurtovic et al. (2022) for a deeper discussion of the star (and planet) disk interaction in the CS Cha system.
It is interesting that the large cavity seen in ALMA continuum is not detected in the scattered light observations of the system. This may indicate dust segregation as discussed by de Juan Ovelar et al. (2013). While they do not discuss the case of a stellar companion they find that for various planetary mass objects that the disparity in cavity size between micron and millimeter sized dust grains increases with planet mass. Extrapolating these results to the case of CS Cha with a stellar companion (and possibly an additional planetary companion) might then explain the nondetection of the cavity in scattered light.
Fig. 9 Integrated polarized scattered light to total intensity stellar flux ratio for CS Cha (red dots). The H-band data might be affected by systematic calibration issues, as discussed in Ginski et al. (2018). Also shown are the same for different compact dust aggregate models computed for the inclination of the CS Cha system, assuming a settled disk with a flaring exponent of 1.09. Dust particles are spherical and a size distribution with minimum grain size of 0.1 μm is assumed. The maximum grain size is a free parameter and is indicated in the figure. |
Fig. 10 SPHERE/ZIMPOL I-band observation of CS Cha A. The primary star is resolved in two components. The data are shown on a linear color scale. |
Fig. 11 Combined image showing the ALMA continuum observation at 887µm of CS Cha, first published by Francis & van der Marel (2020), together with the new ZIMPOL data showing the resolved stellar binary. We overplot five random orbits from the resulting MCMC fit shown in Fig. F.2 to illustrate the size of the binary orbit relative to the cavity size in millimeter continuum. |
5.3 CT Cha
We find a compact smooth disk around CT Cha A. With the fitting of the scattered light data as described in Sect. 4.2 we find that the disk major axis goes from the northeast to the southwest (see Table 3). The disk shows an inclination of 45.7° + 5.0°. The disk profile drops with the expected r−2 illumination effect and is detected out to 0.35″ (65 au). Since the disk signal drops at the rate expected due to central illumination it is well possible that the disk extends beyond this range. Evidence for this is that we do not detect signal from the forward scattering peak of the backside of the disk, as is seen in other inclined systems (for example, IM Lup, DoAr25, IK Lup; Avenhaus et al. 2018; Garufi et al. 2020). Such signal would be blocked from view if the disk indeed extends to larger radii. We however caution that the inclination of CT Cha is somewhat lower than these example disks (with IM Lup having the lowest inclination of 55°). Thus it may be possible that the absence of the visible disk backside is simply a combination of viewing geometry and grain properties.
As expected from the polarized scattering phase function we receive strong signal from the disk ansae where scattering angles are close to 90°. We detect the disk to slightly larger separation along the minor axis in the southeast than in the northwest. For a moderately to strongly inclined disk this is expected due to the bowl shape of the disk surface if the northwest side is the near side of the disk, which mainly shows a very narrow forward scattering rim. The peaks of the phase function are moved from the ansae in direction of the minor axis on the southeast side. This is again expected if we observe a flaring disk with the far side in the southeast and the near side in the northwest (for example, de Boer et al. 2016).
We note that we detect unresolved polarized light originating from the known substellar companion CTCha b. This object is discussed in detail in Schmidt et al., in prep., including the polarimetric data presented here.
5.4 CVCha
We resolve a bright, compact disk around CV Cha. In the non-coronagraphic images of the system significant signal is detected down to 0.05″ (9.5 au). We do not resolve a cavity in scattered light. Ellipse fitting of the scattered light data finds the major axis from the southeast to the northwest. The disk appears similarly inclined as the CT Cha system with a recovered inclination of 43.0° ± 5.3°. However, different from the CTCha system the radial profile along the major axis drops of much steeper than expected from illumination effects (see Fig. 6). This indicates that the disk is either indeed small or strongly self-shadowed beyond the point where we detect it. As was the case for CT Cha we do not detect the backside of the disk, which may indeed indicate that the disk extends farther and blocks our line of sight to the backside. This would then indicate that the region we observe is strongly puffed up and casts a shadow on the outer disk regions. The disk was not resolved in Pascucci et al. (2016) in ALMA millimeter continuum emission with a beam size of 0.7″ × 0.5″, in agreement with our observations tracing smaller grains. However the gas could extend much farther and only small surface densities of µm dust grains are needed mixed in the gas to make the extended disk optically thick in the near-infrared. The disk is detected at larger separations along the minor axis toward the northeast. Similar to CT Cha we interpret this as the far side of a flared, inclined disk.
We find two distinct dips in the azimuthal brightness distribution along the minor axis. We highlight these in Fig. 12. In principle it is expected that the polarized scattering phase function peaks in the ansae and produces less signal toward forward and back-scattering sides of the disk. However, in practice the forward scattering side of the disk is rarely much fainter than the ansea when it is indeed resolved (see, for example, the polarized phase function measured for the HD 97048 system, Ginski et al. 2016). Furthermore, in Fig. 12 it is visible that in particular the dip on the forward scattering side of the disk is very sharp. If this were a phase function effect we would expect a smoother transition from bright to dark azimuthal areas. Such azimuthal brightness dips have now been observed in a number of systems, for example HD 142527 (Marino et al. 2015) and HD 100453 (Benisty et al. 2017), and are usually attributed to a misaligned inner disk casting a shadow on the resolved outer disk. To produce narrow shadows the misalignment has to be significant. The position of the dips along the minor axis indicates not only a misalignment in inclination but also in position angle of the unresolved inner disk with respect to the outer disk8. With our data it is ultimately not possible to decide whether we see a steep phase function effect or shadows caused by disk misalignment. Optical interferometry or possibly the longest baseline ALMA observations may be able to resolve the inner disk zone and confirm or disproof the misalignment scenario.
Fig. 12 Qϕ image of the CV Cha system from J-band observations. Two steep azimuthal dips in brightness are detected. |
5.5 HD 97048
The HD 97048 is a well-studied Herbig star. Lagage et al. (2006) resolved the disk around this system for the first time in mid-infrared polycyclic aromatic hydrocarbon (PAH) emission and found that it is extended and strongly flaring. Subsequent scattered light observations with HST/ACS traced disk structures out to ~600 au (Doering et al. 2007). More recently the planet-forming disk was resolved with extreme adaptive optics observations in the near-infrared with VLT/SPHERE and Gemini/GPI in the J- and H-band, respectively (Ginski et al. 2016; Rich et al. 2022). These observations revealed multiple rings and gaps at radial separations between 40 au and 340 au. Ginski et al. (2016) extracted the height profile of the disk by tracing the center offset of rings and gaps along the disk minor axis and found that the disk scattered light surface height profile can be described by a single power law with a large flaring exponent of 1.73.9 Complementary submillimeter observations of the system found a central cavity in the dust continuum emission with a size of 40–46 au (van der Plas et al. 2017; Walsh et al. 2016). Using high spectral and spatial resolution ALMA gas line observations Pinte et al. (2019) reported the detection of dynamic signatures in the disk, consistent with the presence of an embedded gas-giant planet at an orbital separation of 130 au.
Within our survey we present new VLT/SPHERE K-band polarimetric observations of the system. We show the corresponding Qϕ image in Fig. 13. The new K-band data are of significantly higher S/N compared to the J-band observations presented in Ginski et al. (2016). In particular ring 3 (at ~280 au) from Ginski et al. (2016), which they only detected in total intensity angular differential imaging reductions, is well recovered in the new K-band polarimetric image. As previously discussed in Sect. 4.2, we extracted the height profile of the disk from the K-band image and find a similar but overall lower profile as was recovered for the J-band data. This is consistent with the lower dust opacity in the K-band.
Due to the higher S/N of the new K-band data, we identify for the first time strong asymmetries in the disk scattered light image. We are highlighting these asymmetries in the bottom panel of Fig. 13. There we show the ratio of the disk surface brightness between the original image and an image flipped along the disk minor axis. For a perfectly symmetric disk, we would expect a ratio of 1 (i.e., axis symmetry with respect to the disk minor axis). Instead for HD 97048 we find deviations of up to a factor of ~2. Curiously we see a pattern along the disk major axis (from north to south in the image) where the disk surface brightness flips from rations smaller than 1 to ratios larger than 1. This brightness asymmetry can be well observed also in the top panel of Fig. 13. The inner disk appears brighter in the north, while ring 1 appears brighter in the south. A similar effect was observed for the multi-ringed disk around the T Tauri star RX J1615.3-3255 by de Boer et al. (2016). They argued that this may be caused by oscillating shadowing of the outer rings by the next innermost ring. However, they suggest that such shadowing should only be expected for disks with low flaring exponents, whereas the disk around HD 97048 is strongly flaring. Muro-Arena et al. (2020b) showed that small (few degrees) relative misalignments within the disk around HD 139614 can explain the large brightness asymmetries observed in this system. Following this logic the asymmetries observed in the HD 97048 system may be interpreted as small-scale warps within the disk, which change alignment moving radially within the disk. This may be consistent with the evidence that at least one high-mass planet is embedded in the disk from Pinte et al. (2019). If the orbital plane of this planet is slightly misaligned with the disk plane, then the planet could be responsible for warping the disk, similar as is suggested for the much more evolved β Pic system (Dawson et al. 2011). Given the multiple “flips” in brightness asymmetry that we observe it may also be possible that this disk asymmetry is not static, but that we observe signs of a dynamic warp, which produces time-dependent “ripples” within the disk.
As we show in Fig. 6, the extracted radial profile of HD 97048 along the major axis does not follow the expected r2 drop-off in illumination. Along with CV Cha, HD 97048 is the only disk in our sample that shows a strong deviation from this expected behavior. In part this may be explained by the strong flaring of this particular disk, which is not taken into account for the simple computation of the distance in this plot (although the even stronger flaring disk around SZ Cha appears consistent with the expected r2 drop-off). However, this may be a further indicator that the disk is partially shadowed due to internal misalignment.
Fig. 13 Axial asymmetry of the disk surrounding HD 97048 relative to the minor axis from SPHERE K-band observations. The disk was flipped around its minor axis and then the original image was divided by the flipped image. The ratio of the two is indicated by the color map. The white dashed line indicates the disk minor axis. |
Fig. 14 Observational data of the SY Cha system. Left: SPHERE/IRDIS polarized light H-band data of SY Cha. A variable Gaussian kernel was used to smooth the image. The FWHM of the kernel was set proportional to the inverse of the signal in the image (i.e., regions with strong signal were smoothed minimally), while regions that mostly contained background noise were smoothed strongly, analogously to what was done for the UX Tau system in Ménard et al. (2020). The data are shown on a logarithmic scale in order to highlight the disk morphology. The effective resolution element is shown on the lower right. The black dashed ellipse matches the ALMA inclination and position angle and highlights two features near the northern ansae. Middle: SPHERE/IRIDS K-band data of SY Cha. The image is shown on a logarithmic scale. The data have been smoothed with a simple Gaussian to boost the signal. Right: ALMA dust continuum emission of SY Cha in Band 7 from Orihara et al. (2023). The beam size is indicated by the white ellipse in the lower right corner. |
5.6 SY Cha
We detect clear scattered light signal around SY Cha in the H- and K-band (see Fig. 14). However the shape of the signal appears complex and not easy to interpret. Some of the detected structures have low S/N, in part due to low data quality in the H-band and the intrinsically faint signal in the K-band. The primary star in the SY Cha system is faint in the optical (Gmag = 12.53 ± 0.01, Gaia Collaboration 2018) and thus a challenging target for the adaptive optics system of SPHERE (see Jones et al. 2022). During the H-band observation the tip-tilt stabilization had to be disabled, resulting in the star moving slightly behind the coronagraphic mask. While re-alignment of all frames was performed, using faint background stars as calibrators, this still resulted in degraded performance.
In Fig. 14, we see that signal was detected in the H-band right outside of the coronagraphic mask with a strong peak in the west. In the same figure, we show the ALMA Band 6 continuum data from Orihara et al. (2023). In the ALMA data the disk is resolved into an outer ring with an azimuthal asymmetry between the north-east and the south-west, an inner cavity and an unresolved inner disk component. The position angle of the major axis and the inclination were extracted from the ALMA data and are shown in Table 3. The major axis is located at a position angle of ~345°. This fits well with the SPHERE data which show extended signal along the north-south direction.
The inclination of the disk is ~52° as measured from ALMA (Orihara et al. 2023). In the left and middle panel of Fig. 14 we overlay the extracted ellipse from our fit of the scattered light data with inclination and position angle constraint to the ALMA values (see discussion in Sect. 4.2.1). The fit was performed on the K-band data only, as the faint ring structure appears more clear in this data set. The ellipse traces this low S/N structure which likely is the scattered light counterpart of the ALMA ring. Due to the higher polarized intensity signal in the west in both H- and K-band we assume that the western side is the near side of the disk.
The H-band data show an asymmetric structure to the north, outside of the fitted ellipse, which presents as a clump and a possible arc-like structure. Both of these asymmetric structures roughly coincide with the over-brightness in the ALMA Band 6 data which is visible in Fig. 14. This asymmetry in ALMA continuum flux was already noted by Pascucci et al. (2016) in their lower resolution Band 7 data. In Band 7 the disk starts to become optically thick, thus the over-brightness could be either a temperature or a density effect. That the asymmetry is still present in the optically thinner Band 6 data may suggest that it is caused by an enhancement of material rather than an increase of temperature. Scattered light is typically most sensitive to the scale height of the disk which in turn determines the τ = 1 height of the scattering surface. Both, a dust (and gas) over-density or an increase in temperature may increase the scale height of the disk (see the case of SR 21 where both effects are visible in scattered light, Muro-Arena et al. 2020b). For a deep discussion of the ALMA Band 6 data we refer to Orihara et al. (2023).
Given the low S/N of the scattered light data, we can at this point only speculate on the origin of the described features. It may be possible that the clump feature in the north signifies the position of an accreting protoplanet with its own circumplane-tary disk. If this is the case, the arc structure might be a spiral driven by the embedded planet in the outer disk (see, for example, Muto et al. 2012; Dong et al. 2016) and the over-brightness in the ALMA data may signify a density effect caused by a vortex also driven by the same planet. The correspondence between spirals in scattered light and asymmetries in dust continuum appears to be common among well-studied disks (Garufi et al. 2018; van der Marel et al. 2021). Such a scenario may be confirmed with deeper SPHERE observations in better weather conditions, or with high spectral resolution ALMA gas line observations which may trace the local deviation from Keplerian rotation induced by an embedded planet (Pinte et al. 2018, 2020; Teague et al. 2018).
As we show in Table 3 and Fig. 3, we extract in principle an aspect ratio for SY Cha, which is well comparable to the strong flaring case of the HD 97048 system (however with the caveat that the uncertainty of this measurement is large). If taken at face value this typically should correspond to a bright signal in scattered light, as the disk surface intercepts more stellar light. However, as we show in Fig. 4 it is among the faintest detected disks in our sample. Given the uncertainties of the fit the aspect ratio might be as small as 0.03 at 79 au. That would be more in line with the faint disks in our sample. If the aspect ratio is indeed larger, as our fit hints, then the faint outer disk may be explained by the presence of the inner disk seen in the ALMA Band 6 data in Fig. 14. In the same figure it is also visible that we receive the strongest scattered light signal close to the coronagraphic mask in the SPHERE H-band scattered light observation. This signal may well originate from the inner disk. That the signal is more extended in scattered light than in ALMA millimeter continuum may be explained by radial drift of the larger dust particles (Weidenschilling 1977; Villenave et al. 2019). However, it may also be possible that we trace an optical depth effect, with the optical depth to scattering at IR wavelengths remaining larger farther out in the disk than the optical depth of thermal emission at millimeter wavelengths.
If the bright signal around the coronagraph indeed originates from the inner disk, then this indicates, that, unlike the outer disk ring, it intercepts a lot of stellar light. The peak is particularly strong toward the west, which we identified as the forward scattering side of the disk. If this inner disk is slightly misaligned with the faint outer disk structure that we traced in the ellipse fitting, then shadowing might explain the large brightness contrast between these two disk zones (see, for example, Muro-Arena et al. 2020a for a detailed model of such an effect). Such a disk misalignment might fit well with the speculative presence of a massive planet at the disk clump location if the orbit of such a planet was slightly misaligned with respect to the outer disk and thus is able to exert a torque on the disk warping or tilting the disk (Xiang-Gruess & Papaloizou 2013). Alternatively, the inner disk could simply be strongly puffed up due to stellar radiation, which may lead to full azimuthal shadowing of the outer disk, without the need to invoke a misalignment. High-resolution ALMA gas line observations in the future may enable us to detect a possible warp or tilt between inner and outer disk. Alternatively near-infrared interferometric observation might be able to measure the inclination of the inner disk (Bohn et al. 2022). Additionally, deep SPHERE observations in the H- or K-band might be able to secure a higher S/N detection of the outer disk ring, which in turn would enable a firmer conclusion on the disk aspect ratio.
5.7 SZ Cha
SZ Cha possesses the second most extended disk of our target sample (0.86 arcsec, i.e., 163 au) with only HD 97048 being more extended. The disk shows a multi-ringed substructure with two discernible rings with semi-major axes at 0.31″ (59 au) and 0.59″ (112 au). The near side of the disk is located in the west with the semi-major axis at a position angle between −12° and −23°. Our fits of the ring-like features yield an intermediate disk inclination between 39° and 47°. Ancillary ALMA data of the system, which will be presented in a forthcoming publication by Hagelberg et al., in prep. yield a consistent inclination of 42.1° and a position angle of −23°.
Along the major axis there is some considerable brightness asymmetry in our scattered light image between the northern and the southern part of the disk with a possible spiral feature present in the south in between the inner disk right outside of the coro-nagraphic mask and partially overlapping with the first ring-like feature (see Fig. 15). This geometry is reminiscent of the disk around the isolated Herbig star HD 34282, for which de Boer et al. (2021) suggested the presence of a possible one-armed spiral. Interestingly the aspect ratios recovered by de Boer et al. (2021) for the ringed substructure in HD 34282 (0.28 at 87.4 au; 0.37 at 193.4 au) are well consistent with what we recover for SZ Cha. The similarities in morphology and height structure may indicate similar disk-shaping mechanisms in both systems. If we assume that the spiral-like feature in SZ Cha is driven by an embedded planet in the system, then visual comparison of the opening angle of the spiral arm with the model by Dong et al. (2016) suggest that the mass of the embedded planet should be low (i.e., likely ≤3 MJup) given that the opening angle of the spiral feature is small.
Fig. 15 Qϕ image of the extended disk around the SZ Cha system. The color map is logarithmic to highlight the disk morphology. The hashed circle in the image center indicates the coronagraphic mask that was placed in front of the star. |
5.8 VZ Cha
We find a low S/N detection of scattered light around VZ Cha. In Fig. B.1 it is visible that the Stokes Q and U images indeed show a butterfly pattern, with the majority of the signal located in the northeast lobe of the Stokes U image. Signal is detected out to a separation of 0.32″ (61 au). Transformation to Qϕ shows a faint disk with a position angle of ~56°. Ellipse fitting yields an inclination of 49.6°±5.1° (see Table 3). Due to the low S/N the fit of the disk height is highly uncertain (see Fig. C.3h).
VZ Cha has a measured dust mass that is roughly a factor 2 higher than CV Cha which we detect at very high S/N (see Table 1). CT Cha and SY Cha have comparable dust masses, and both were likewise detected with higher S/N than VZ Cha. Thus the low polarization signal is likely not connected to low dust surface density but rather indicates that the disk around VZ Cha is either significantly vertically thinner than the other detected systems and thus intercepts less stellar light or is self-shadowed. It might of course well be possible that both effects are present in the system.
5.9 WW Cha
We resolve a compact disk and extended emission around WW Cha using the same data set that was already presented in Garufi et al. (2020). In particular, the disk is dominated by a bright spiral arm extending from the south of the disk and winding clockwise. The width of the spiral arm decreases smoothly from the launching point to the tip of the detected emission in the west of the disk. It is thus not trivial to measure an opening angle.
From the scattered light data we fit an inclination of 44.1° ± 3.3° and a position angle of 29.8° ± 4.8° (see Table 3). High resolution (89.6 × 60 mas beam size) ALMA Band 7 data exist for the system, showing a non-axisymmetric, double-ringed disk in millimeter continuum emission, which were presented in Kanagawa et al. (2021). They used the ALMA data to extract inclination and position angle and found 36.2° for the former and 34.0° for the latter. The position angle is consistent with the scattered light data while the inclination is slightly smaller. This discrepancy may be caused by the prominent spiral structure which dominates the scattered light image.
In addition to the Keplerian disk we find a complex structure of extended material some of which was already mentioned in Garufi et al. (2020). Most striking is the dark sickle or wedge-shaped region extending clockwise from the north to the south. We have marked this region in Fig. 16.
Due to the asymmetry of the disk, it is not trivial to determine whether the northwest or the southeast side of the disk is the near side. However, the stellar position is clearly offset along the minor axis toward the northwest. Taking into account the height of the scattering surface this is a clear indication that the northwest is the near side of the disk and the southeast the far side (see, for example, de Boer et al. 2016). If this is true, then the dark wedge can be explained by a combination of the (not illuminated) disk mid-plane and an outer area of the disk which is either self-shadowed or inherently faint. To clarify the geometry we show a sketch in Fig. 17.
The wedge is likely too wide in the northwest direction to be just the disk mid-plane (see, for example, Avenhaus et al. 2018; Garufi et al. 2020 for clear examples of the disk mid-plane). Furthermore, it does not appear that the wedge structure is converging to a point along the ansae as would be expected of the mid-plane and as shown in Fig. 17, although we caution that there is little signal in the ansae to fully trace the wedge. However, the sharp transition between the dark wedge and the outer structures to the northwest and west suggest a geometric origin. If we assume that the top-side of the disk around WW Cha extends farther than seen in scattered light, then a combination of this unseen outer part of the disk and the disk mid-plane can well explain the dark wedge region. This is displayed as the cross-hatched region in Fig. 17. If this picture is correct, then the nebulous structures visible to the northwest and west beyond the dark wedge are either connected to the bottom side of the disk (the side facing away from the observer) or are part of the embedding cloud located behind the disk. Given that the structures are illuminated by WW Cha while other parts of the embedding cloud are not, it would follow that they can in any case not be arbitrarily far away from WW Cha. Indeed the SED of the system shown in Fig. D.1 is more consistent with flat spectrum rather than a class II source, which suggests that WW Cha is still embedded in remaining cloud material.
The filamentary hook-shaped structure to the east of WW Cha was already noted by Garufi et al. (2020). If the interpretation of the dark wedge that we present is correct then the filament must be placed above the disk (i.e., between the disk and the observer), otherwise we would not be able to trace it as close the visible disk of WW Cha without it being obscured. In that case the filament might trace material infalling onto the disk as was recently shown for SU Aur (Ginski et al. 2021). Based on the Herschel far-infrared data shown in Fig. 1, WW Cha is located in one of the densest parts of the ChaI cloud, making an infall scenario likely. Deep ALMA gas emission line observations are needed to confirm the kinematics of the filament and other visible structures.
Fig. 16 Qϕ image of the WW Cha system from H-band observations. An extended dust structure is visible in polarized light beyond the cir-cumstellar disk. A dark wedge sharply separates the disk from the extended material in the northwest direction. |
Fig. 17 Schematic of the WW Cha system geometry. The disk likely extends farther out in gas and small grains than is detected in scattered light, either due to shadowing or due to the signal dropping below the noise threshold. The dark wedge in the data is caused by a combination of the unseen extended disk and the disk mid-plane. |
5.10 Nondetections
Of the 20 systems our sample seven yielded nondetections in polarized scattered light: either their disks are too small to be resolved with current instrumentation (radius <92.5 mas, i.e., ~18au at the average distance or Cha I), or too faint in scattered light. Of these seven systems, four are close visual binaries (DI Cha, PDS 51, WX Cha, and WY Cha) with angular separations between 140 mas (WY Cha) and 740 mas (WX Cha). For these systems, it is plausible that the close stellar companions truncate the outer disk (see, for example, Artymowicz & Lubow 1994, Miranda & Lai 2015), and thus they are almost certainly in the first category of nondetections (small disks). Of the remaining three systems Sz 41 is a wide visual binary with an angular separation of ~2arcsec (~380au). It also has an exceptionally low dust mass with an upper limit of less than 1 M⊗, thus the disk in this system is likely small, but even if it were extended it would be faint with barely any dust entrained (assuming that the small µm dust population roughly correlates with the millimeter population detected at millimeter wavelength).
Finally CHX 18N and RXJ1106.3-7721 are single stars10. CHX 18N has a dust mass of 13 M⊗, which is at the lower end for our sample. However, the even lower mass disk around Sz45 (10 M⊗) yielded a scattered light detection. The SED of CHX 18N does not show a significant dip close to 10 µm, indicating that this is still a full disk without a large cavity. In comparison, Sz45, shows a significant dip in the SED. Thus while we cannot rule out that the disk around CHX18N is simply compact it is possible that it is probable that it ratherbelongs to the second category of nondetections: faint (self-shadowed) disks. For RXJ1106.3-7721 we do not have a measured dust mass, however, the system shows no significant mid- or far-infrared excess emission, indicating that indeed no extended disk is present.
In summary, of our nondetections we find that 5 are in all likelihood compact. One is faint and possibly self-shadowed and one might be either compact or faint. The majority of compact disks (4/5) is found (somewhat unsurprisingly) in close visual binary systems.
6 Summary and discussion
We observed a sample of 20 systems in the nearby Chamaeleon I star-forming region with VLT/SPHERE in polarized scattered light. Our observations revealed a resolved circumstellar structure around 13 of these systems. Of these, the HD 97048, SZCha, and the WW Cha systems showed clear morphological substructures, while we tentatively find shadow features in CV Cha and a possible dust clump and arc in the SY Cha system. The CR Cha, CS Cha, CT Cha, SZ 45, TW Cha, and VZ Cha systems all show relatively small disks that appear smooth at our spatial resolution and sensitivity, but that vary by a factor of ~4 in polarized brightness contrast relative to the central star. Of our seven nondetections, five are located in binary systems, four of which are closer than 1”. We find a tentative trend between the “transitional” nature of the system SED (the presence of a dip at ~10 µm) and the brightness in scattered light, with the two classical transitional disks (based on their SED) around CS Cha and HD 97048 being the brightest disks in our sample. We also find a possible correlation of this trend with the dust mass in the system. However, the dust masses of CR Cha and VZ Cha are similar or even slightly higher than for the bright disk around CS Cha. Both of these former systems are significantly fainter in scattered light, with VZ Cha being the faintest detected disk in our sample. This suggests that the brightness in scattered light is at least in some cases dominated by geometric shadowing effects by inner-system material rather than overall depletion. This conclusion is in line with the recent findings of Garufi et al. (2022), who studied a sample of 15 disks that are faint in scattered light and found an anti-correlation between the amount of near-infrared excess and the brightness in near-infrared scattered light.
Since the scattered light brightness of the disks appears to be linked to the opening of a cavity in the inner disk region, it is interesting to study its age dependence. From our sample we do not recover a clear trend between system age and scattered light brightness. However, 12 of the 14 systems that are younger than 2 Myr are all faint in scattered light. The exceptions are the WW Cha system, which appears to be still interacting with surrounding cloud material, and the extremely flaring SZ Cha system. The two bright transition disks within our sample, CS Cha and HD 97048, are among the oldest systems within our sample. These general findings are consistent with the findings of Garufi et al. (2018), who looked at a larger sample of scattered light disks inhomogeneously drawn from multiple star-forming regions and isolated stars. However, their sample was, by construction, biased toward known bright transition disks. A larger unbiased sample size is needed in order to draw a clear conclusion on the connection between disk brightness and stellar age. A possible correlation between scattered light brightness and system age paints an interesting picture. Young disks at the start of planet formation may still be faint in scattered light because the forming protoplanets have not yet opened a gap or cavity in the inner disk. When planetary cores have formed, the disk becomes increasingly bright in scattered light due to the lack of shadowing material in the inner disk regions. The increased illumination of the outer disk may in turn also lead to an increase in temperature and disk flaring. A similar scenario was speculated upon in the context of mid-infrared interferomet-ric observations by Menu et al. (2015). One of the oldest systems in our study, the CS Cha system, might be an extreme case of such an evolution, due to the circumbinary nature of the disk. We note that known circumbinary disks in the literature indeed tend to be bright in scattered light, for example the disks around HD 34700 (Monnier et al. 2019), GGTau (Krist et al. 2002; Itoh et al. 2014; Keppler et al. 2020), and HD 142527 (Fukagawa et al. 2006; Avenhaus et al. 2014; Hunziker et al. 2021).
Given the orbit constraints we can put on the inner stellar companion in the CS Cha system, it appears questionable whether the stellar binary companion alone can be responsible for opening the cavity within the disk, seen in ALMA millimeter continuum emission and also evident from the system SED. An additional planet, proposed by Kurtovic et al. (2022) to explain the disk asymmetry seen in ALMA dust continuum, may also explain the large inner cavity. Our polarized scattered light color analysis suggests that the disk around CS Cha consists of small compact aggregates which may be relatively settled. This is consistent with numerical simulations that suggest that the binary companion will excite eccentric dust particle orbits, which lead to orbit crossing and collisions with speeds above fragmentation velocity (Meschiari 2012; Paardekooper et al. 2012; Pierens et al. 2021). In a recent study, using three-dimensional hydrody-namic simulations, Pierens et al. (2021) also found that the dust scale height near the tidally truncated cavity edge is low, especially for high solid-to-gas ratios. That the dust grains in the disk are already at an advanced stage of settling fits well with the very low aspect ratio of ~0.03 that we find at a radius of 85 au; although we note that this value comes with a large uncertainty (see discussion in Sect. 4.2). This is in turn also consistent with the picture of a rather old disk (3–5.3 Myr). The fact that we observe grain segregation in the CS Cha disk, with a narrow ring and large cavity in millimeter emission, and no resolved cavity in scattered light, might be explained by the circumbinary nature of this system (see, for example, de Juan Ovelar et al. 2013). We note that the accretion lifetime of CS Cha is among the longest in the sample, which may indicate that the disk is somewhat depleted in gas compared to the younger systems.
Considering the young age and bright disk in the WW Cha system, as well as the old age and faint disk in the HP Cha system, both appear as outliers in a possible age-disk brightness correlation. The WW Cha system seems to still be interacting with surrounding cloud material, seen in scattered light. This was already pointed out by Garufi et al. (2020), who note that the system is located in a known network of clumpy filaments (Haikala et al. 2005). The morphology, with possible streamers connected to the disk, as seen in scattered light, is somewhat similar to the case of SU Aur, where infall of material was shown by Ginski et al. (2021). Deep, high spatial resolution molecular line observations with ALMA could shed light on the nature of the interaction of WW Cha with the surrounding cloud. Conversely, the HP Cha system is a complex triple system with signs of ongoing interaction between primary and circumsecondary disks (Zhang et al. 2023). This may in turn strongly influence the disk evolution around the primary star.
Our high spatial resolution, near-infrared study of Cha I systems has shown some interesting trends that connect the scattered light appearance of the circumstellar disks with the disk evolution. It will be most interesting to compare these findings with similar studies of other nearby star-forming regions. Companion papers to this study, focusing on the Taurus star-forming region as well as the Orion star-forming region, are currently under review (Garufi et al. 2024; Valegård et al. 2024). Furthermore, it will be critical in the future to enable similar observations of optically fainter low-mass stars (i.e., the bulk of the stellar content of Cha I and other nearby star-forming regions). This may be enabled by the SPHERE+ initiative (Boccaletti et al. 2020), which aims to upgrade the SPHERE AO system to observe fainter and redder objects.
Acknowledgements
We would like to thank an anonymous referee for an excellent report that greatly improved the clarity of this article. Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID XX.XXXX This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular, the institutions participating in the Gaia Multilateral Agreement. SPHERE was designed and built by a consortium made of IPAG (Grenoble, France), MPIA (Heidelberg, Germany), LAM (Marseille, France), LESIA (Paris, France), Laboratoire Lagrange (Nice, France), INAF–Osservatorio di Padova (Italy), Observatoire de Genève (Switzerland), ETH Zurich (Switzerland), NOVA (The Netherlands), ONERA (France) and ASTRON (The Netherlands) in collaboration with ESO. SPHERE was funded by ESO, with additional contributions from CNRS (France), MPIA (Germany), INAF (Italy), FINES (Switzerland) and NOVA (The Netherlands). Additional funding from EC’s 6th and 7th Framework Programmes as part of OPTICON was received (grant number RII3-Ct-2004-001566 for FP6 (2004–2008); 226604 for FP7 (2009--2012); 312430 for FP7 (2013–2016)). N.K. and P.P. acknowledge the support provided by the Alexander von Humboldt Foundation in the framework of the Sofja Kovalevskaja Award endowed by the Federal Ministry of Education and Research. CH.R. is grateful for support from the Max Planck Society and acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 325594231. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2018.1.00689.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. A.Z. acknowledges support from ANID – Millennium Science Initiative Program – Center Code NCN2021_080. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (PROTOPLANETS, grant agreement No. 101002188).
Appendix A Observing condition and instrument setup
Observing dates, instrument setup, and weather conditions for all systems in our study. The average values for the Seeing and the coherence time τ0 of the atmosphere during the observation blocks are listed.
The detailed dates and weather conditions of our observations as well as the instrument setup are listed in Table A.1.
Appendix B Detailed Stokes images
In this section we show the Stokes Q and U images that are directly measured in our observations. For all coronagraphic observations, we summarize them in figure B.1 and for non-coronagraphic observations in figure B.2. Due to the azimuthal orientation of the angle of polarization of single scattered light, we expect a typical “butterfly” pattern in the Q and U images in which we detect resolved disk signal. This is indeed the case for all our coronagraphic observations, as well as the noncoronagraphic observations of CR Cha and CV Cha. In addition to Stokes Q and U we also show the derived Qϕ and Uϕ images. As predicted from single scattering models the Uϕ images contain little signal. For the coronagraphic observations we show the Qϕ images with different scaling to bridge the dynamic range between bright inner and fainter outer structures. In the 5th column of figure B.1 we compensate for the drop in stellar illumination by scaling the signal with the squared distance from the central star. We take into account the inclination of the disk to prevent the introduction of nonphysical asymmetries between major and minor disk axes. However, we caution that we did not take into account the disk scale height for the correction, as the surface height profile is uncertain for most objects. Alternatively in the 6th panel of figure B.1 we show the same images with a logarithmic scaling, which allows us to display a larger dynamic range without a priory knowledge of the disk geometry. In figure B.2 we additionally show the total intensity images of the noncoronagraphic system. The binary stellar companions to WX Cha and WY Cha are clearly visible.
In figure B.3 we show the Stokes Q and U images of the CS Cha system taken with SPHERE/ZIMPOL in the I and R-band.
Finally in figure B.4 we show all Qϕ images of the entire sample (detections and nondetections) scaled to the same surface brightness.
Fig. B.1 All coronagraphic images of our target sample. The color scale is linear in all images with the same cuts in each row, but different cuts for different sources. The color scale is symmetric around 0. The gray hashed circles show the coronagraph size and position. The Stokes Q and U images are in the first two columns and the derived Qϕ and Uϕ images in columns 3 and 4. In column 5 is shown the Qϕ image corrected for the separation-dependent drop-off in illumination (taking into account the system inclination). In the last column, the Qϕ image is shown on a log scale to highlight the fainter parts of the disks. |
Fig. B.2 All noncoronagraphic images of our target sample. The color scale is linear in all images with the same cuts for all images. The color scale is symmetric around 0. The final column in each row in the red-orange hues shows the total intensity images in which the stellar light dominates. For WX Cha and WY Cha close stellar binary companions are visible in the data. |
Fig. B.3 Optical (ZIMPOL) Stokes Q and U images for our observations of the CS Cha system. The I-band data are on the left and the R-band data on the right. All images use the same (linear) color scale. |
Fig. B.4 Imagery of the sample. The Qϕ image of all targets is shown at the same logarithmic, flux scale, and physical scale (as indicated in the first panel). Detections are indicated by a name in bold, nondetections in italics. The gray circles mark the size of the coronagraphic mask, while the red diamonds give the position of any unmasked star (both primary in noncoronagraphic observations and companions). |
Appendix C Geometric fitting approach and results
In this section we briefly demonstrate the validity of our fitting approach as described in section 4.2 and illustrate the extracted data points and best-fitting ellipse solutions from the initial fitting step.
While it was demonstrated in the literature that equidistant rings can be used to constrain the disk geometry in scattered light images, this was not done for small, essentially feature-less (or in any case “ring-less”) disks. For this purpose we created a grid of radiative transfer models with two different flaring exponents (1.09 and 1.3), simulating relatively vertically thin and strongly flared disks. The disks are smooth and featureless. Within the grid, we vary the inclination of the disk to demonstrate how the recovery of disk parameters is dependent on the viewing geometry. We show the model images in Figure C.1. Before testing our fitting procedure we convolved each model image with a Gaussian to simulate the resolution of VLT/SPHERE in the H-band. We then added noise to the images by co-adding the model image with a typical reduced image of a disk nondetection. The scaling of the disk forward scattering side and the background noise level was such that the resulting S/N were comparable to those of the observed disks in our sample, in particular the case of CR Cha, which is faint but still well detected. We then ran the two-step fitting procedure, as described in section 4.2 on all model images. We show the extracted inclination, position angle, and disk aspect ratio as a function of the model disk inclination in Figure C.2. Extracted inclination and position angle are from the first LSMC step. The extracted aspect ratio is measured with the second aperture photometry step, with inclination and position angle of the model fixed. We find that for inclinations larger than ∼ 10° the measured inclination and position angle are well consistent with the expected results. For small inclinations below ∼ 30° the uncertainty on the position angle in particular is large and appears somewhat inflated for values between 10° and 30°. The measured aspect ratio shows little variation for the case of the strongly flaring disk (β=1.3) as a function of model inclination. We do however observe a small systematic offset of ∼ 0.05 (i.e., the retrieved aspect ratio is slightly too low). This is likely an effect of the polarized phase function, which leads to a weak signal on the far side of the disk, which can lead to systematically smaller offset values found by the aperture method; we note that the same would be expected for the pure edge tracing method for the same reason. For the less flaring disks (β=1.09) we find small variability within the retrieved aspect ratios as a function of model inclination. This is to be expected as the offset values are smaller for vertically thinner disks and thus inherently harder to measure.Within the uncertainties, all values are however consistent with each other. We find the same systematic offset for this case as for the strong flaring case (i.e., aspect ratios are roughly too low by ∼ 0.05).
Fig. C.1 Radiative transfer polarized intensity model images with different flaring exponents β seen at different inclinations. The full gallery of model images are shown up to an inclination of 85°. However, only models up to 65° are included in our test fits, as for higher inclinations our fitting approach breaks down. |
Fig. C.2 Ellipse fit to the outer disk edge for our radiative transfer model images. Fitting results are shown as a function of model inclination. The expected results are indicated by the red dashed lines. |
In Figures C.3 and C.4 we show the extracted data points and best fitting LSMC ellipses for our data. We note that we intentionally display the data in a saturated color map to highlight the disk edge.
Fig. C.3 Ellipse fit to the outer disk edge in 9 of the 20 systems in this study. Disk images are shown on a saturated color map to highlight the edge (i.e., the region where the disk signal drops below 3σ above the sky background). The yellow dashed lines show the final fitted ellipse. |
Fig. C.4 Ellipse fit to the detected ring substructure in HD 97048, SY Cha, and SZ Cha. Each ring was fitted individually, while other features were masked. The displayed fitted ellipses (yellow dashed lines) represent the nominal best fit to the data, not taking into account any prior knowledge of the disk inclination and position angle. |
Appendix D Spectral energy distributions for sample systems
In this appendix we show the spectral energy distributions for all sources included in our survey. The displayed data includes broad-band photometry (black data points), Spitzer/IRS spectra (red lines) and, if available, Herschel/SPIRE spectra (green lines). The data collection is taken from Ribas et al. (2017, with references therein) for all sources but SY Cha, for which we did a similar data collection in this work.
Fig. D.1 Spectral energy distributions for all our target systems. Photometric data points are marked as red crosses (uncertainties are smaller than the symbol size). The black lines mark the best fitting stellar models. In the last row an example for a disk bright in scattered light and a disk faint in scattered light are highlighted. The blue and purple lines give the slopes used in figure 4 |
Appendix E CS Cha radiative transfer models
Fig. E.1 Radiative transfer models of CS Cha created with RADMC3d using compact dust grains with a maximum size of 0.32µm. The system inclination is set to 22° with a flaring exponent of the disk surface of 1.09. The models closely match the lack of forward scattering also absent in the data, as well as the sharp drop in brightness between the J-band and the I-band. |
We show the simulated scattered light images produced from the radiative transfer models utilized in the CS Cha color analysis discussed in section 5.2.1.
Appendix F CS Cha Aab orbit fit
We show the results of the orbit fits of the inner stellar binary in the CS Cha system, discussed in section 5.2.2. In figure F.1 we show a random selection of 10 possible orbits drawn from the posterior distribution of orbit elements. The top panels show the apparent orbits in R.A. - Dec space as well as separation - position angle space. The bottom panel shows the radial velocity of the primary star. In figure F.2 we show the resulting posterior distributions of the orbit fit for the semi-major axis, inclination, and eccentricity. Displayed are the 95% intervals for each parameter.
Fig. F.1 Results of orbiti𝓏e! MCMC fit of the CS Cha stellar binary. The astrometry point (top panels) was retrieved in this study. The radial velocity data points are from Guenther et al. (2007). The radial velocity data are plotted after subtraction of the radial velocity offset of 14.6 km s−1, as retrieved from our orbit fit. |
Fig. F.2 Results of orbiti𝓏e! MCMC fit of the CS Cha stellar binary. Shown are the inclinations, eccentricities, and semi-major axes of the resulting orbit distributions. |
References
- Allard, F., Hauschildt, P. H., Alexander, D. R., Tamanai, A., & Schweitzer, A. 2001, ApJ, 556, 357 [Google Scholar]
- Andrews, S. M., Wilner, D. J., Espaillat, C., et al. 2011, ApJ, 732, 42 [Google Scholar]
- Ansdell, M., Williams, J. P., van der Marel, N., et al. 2016, ApJ, 828, 46 [Google Scholar]
- Ansdell, M., Williams, J. P., Manara, C. F., et al. 2017, AJ, 153, 240 [Google Scholar]
- Artymowicz, P., & Lubow, S. H. 1994, ApJ, 421, 651 [Google Scholar]
- Avenhaus, H., Quanz, S. P., Schmid, H. M., et al. 2014, ApJ, 781, 87 [Google Scholar]
- Avenhaus, H., Quanz, S. P., Garufi, A., et al. 2018, ApJ, 863, 44 [NASA ADS] [CrossRef] [Google Scholar]
- Ballering, N. P., & Eisner, J. A. 2019, AJ, 157, 144 [Google Scholar]
- Baraffe, I., Homeier, D., Allard, F., & Chabrier, G. 2015, A&A, 577, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Beckwith, S. V. W., & Sargent, A. I. 1991, ApJ, 381, 250 [NASA ADS] [CrossRef] [Google Scholar]
- Benisty, M., Stolker, T., Pohl, A., et al. 2017, A&A, 597, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Beuzit, J. L., Vigan, A., Mouillet, D., et al. 2019, A&A, 631, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Blunt, S., Wang, J. J., Angelo, I., et al. 2020, AJ, 159, 89 [NASA ADS] [CrossRef] [Google Scholar]
- Boccaletti, A., Chauvin, G., Mouillet, D., et al. 2020, arXiv e-prints [arXiv:2003.05714] [Google Scholar]
- Bohn, A. J., Southworth, J., Ginski, C., et al. 2020, A&A, 635, A73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bohn, A. J., Benisty, M., Perraut, K., et al. 2022, A&A, 658, A183 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [Google Scholar]
- Canovas, H., Rodenhuis, M., Jeffers, S. V., Min, M., & Keller, C. U. 2011, A&A, 531, A102 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Carbillet, M., Bendjoya, P., Abe, L., et al. 2011, Exp. Astron., 30, 39 [Google Scholar]
- Choi, J., Dotter, A., Conroy, C., et al. 2016, ApJ, 823, 102 [Google Scholar]
- Cieza, L. A., Ruíz-Rodríguez, D., Hales, A., et al. 2019, MNRAS, 482, 698 [Google Scholar]
- Covino, E., Palazzi, E., Penprase, B. E., Schwarz, H. E., & Terranegra, L. 1997, A&AS, 122, 95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dawson, R. I., Murray-Clay, R. A., & Fabrycky, D. C. 2011, ApJ, 743, L17 [Google Scholar]
- de Boer, J., Salter, G., Benisty, M., et al. 2016, A&A, 595, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de Boer, J., Langlois, M., van Holstein, R. G., et al. 2020, A&A, 633, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de Boer, J., Ginski, C., Chauvin, G., et al. 2021, A&A, 649, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de Juan Ovelar, M., Min, M., Dominik, C., et al. 2013, A&A, 560, A111 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Doering, R. L., Meixner, M., Holfeltz, S. T., et al. 2007, AJ, 133, 2122 [NASA ADS] [CrossRef] [Google Scholar]
- Dohlen, K., Langlois, M., Saisse, M., et al. 2008, Proc. SPIE, 7014, 70143L [Google Scholar]
- Dominik, C., Min, M., & Tazaki, R. 2021, Astrophysics Source Code Library [record ascl:2104.010] [Google Scholar]
- Dong, R., Fung, J., & Chiang, E. 2016, ApJ, 826, 75 [Google Scholar]
- Dorschner, J., Begemann, B., Henning, T., Jaeger, C., & Mutschke, H. 1995, A&A, 300, 503 [Google Scholar]
- Dullemond, C. P., & Dominik, C. 2004, A&A, 417, 159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dullemond, C. P., Juhasz, A., Pohl, A., et al. 2012, Astrophysics Source Code Library [record ascl:1202.015] [Google Scholar]
- Engler, N., Schmid, H. M., Thalmann, C., et al. 2017, A&A, 607, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
- Francis, L., & van der Marel, N. 2020, ApJ, 892, 111 [Google Scholar]
- Fukagawa, M., Tamura, M., Itoh, Y., et al. 2006, ApJ, 636, L153 [Google Scholar]
- Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Quanz, S. P., Schmid, H. M., et al. 2014, A&A, 568, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Quanz, S. P., Schmid, H. M., et al. 2016, A&A, 588, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Meeus, G., Benisty, M., et al. 2017, A&A, 603, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Benisty, M., Pinilla, P., et al. 2018, A&A, 620, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Avenhaus, H., Pérez, S., et al. 2020, A&A, 633, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Dominik, C., Ginski, C., et al. 2022, A&A, 658, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Garufi, A., Ginski, C., van Holstein, R. G., et al. 2024, A&A, 685, A53 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ginski, C., Stolker, T., Pinilla, P., et al. 2016, A&A, 595, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ginski, C., Benisty, M., van Holstein, R. G., et al. 2018, A&A, 616, A79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ginski, C., Facchini, S., Huang, J., et al. 2021, ApJ, 908, L25 [NASA ADS] [CrossRef] [Google Scholar]
- Grady, C. A., Polomski, E. F., Henning, T., et al. 2001, AJ, 122, 3396 [Google Scholar]
- Guenther, E. W., Esposito, M., Mundt, R., et al. 2007, A&A, 467, 1147 [CrossRef] [EDP Sciences] [Google Scholar]
- Haikala, L. K., Harju, J., Mattila, K., & Toriseva, M. 2005, A&A, 431, 149 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Halíř, R. & Flusser, J. 1998, Numerically Stable Direct Least Squares Fitting of Ellipses, Comput. Sci. Math. [Google Scholar]
- Hartmann, L., Calvet, N., Gullbring, E., & D’Alessio, P. 1998, ApJ, 495, 385 [Google Scholar]
- Hauschildt, P. H., Allard, F., & Baron, E. 1999, ApJ, 512, 377 [Google Scholar]
- Hunziker, S., Schmid, H. M., Ma, J., et al. 2021, A&A, 648, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Itoh, Y., Oasa, Y., Kudo, T., et al. 2014, Res. Astron. Astrophys., 14, 1438 [CrossRef] [Google Scholar]
- Jones, M. I., Milli, J., Blanchard, I., et al. 2022, A&A, 667, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kanagawa, K. D., Hashimoto, J., Muto, T., et al. 2021, ApJ, 909, 212 [NASA ADS] [CrossRef] [Google Scholar]
- Kendall, M. G. 1938, Biometrika, 30, 81 [Google Scholar]
- Keppler, M., Penzlin, A., Benisty, M., et al. 2020, A&A, 639, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kim, S., Takahashi, S., Nomura, H., et al. 2020, ApJ, 888, 72 [Google Scholar]
- Kiraga, M. 2012, Acta Astron., 62, 67 [NASA ADS] [Google Scholar]
- Krist, J. E., Stapelfeldt, K. R., & Watson, A. M. 2002, ApJ, 570, 785 [NASA ADS] [CrossRef] [Google Scholar]
- Kurtovic, N. T., Pinilla, P., Penzlin, A. B. T., et al. 2022, A&A, 664, A151 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lagage, P.-O., Doucet, C., Pantin, E., et al. 2006, Science, 314, 621 [Google Scholar]
- Langlois, M., Dohlen, K., Vigan, A., et al. 2014, Proc. SPIE, 9147, 91471R [CrossRef] [Google Scholar]
- Long, F., Herczeg, G. J., Harsono, D., et al. 2019, ApJ, 882, 49 [Google Scholar]
- Manara, C. F., Fedele, D., Herczeg, G. J., & Teixeira, P. S. 2016a, A&A, 585, A136 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Manara, C. F., Rosotti, G., Testi, L., et al. 2016b, A&A, 591, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Manara, C. F., Mordasini, C., Testi, L., et al. 2019, A&A, 631, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Marino, S., Perez, S., & Casassus, S. 2015, ApJ, 798, L44 [Google Scholar]
- Martinez, P., Dorrer, C., Aller Carpentier, E., et al. 2009, A&A, 495, 363 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Meeus, G., Waters, L. B. F. M., Bouwman, J., et al. 2001, A&A, 365, 476 [CrossRef] [EDP Sciences] [Google Scholar]
- Ménard, F., Cuello, N., Ginski, C., et al. 2020, A&A, 639, L1 [EDP Sciences] [Google Scholar]
- Menu, J., van Boekel, R., Henning, T., et al. 2015, A&A, 581, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Meschiari, S. 2012, ApJ, 761, L7 [NASA ADS] [CrossRef] [Google Scholar]
- Miranda, R., & Lai, D. 2015, MNRAS, 452, 2396 [Google Scholar]
- Monnier, J. D., Harries, T. J., Bae, J., et al. 2019, ApJ, 872, 122 [Google Scholar]
- Muro-Arena, G. A., Benisty, M., Ginski, C., et al. 2020a, A&A, 635, A121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Muro-Arena, G. A., Ginski, C., Dominik, C., et al. 2020b, A&A, 636, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Muto, T., Grady, C. A., Hashimoto, J., et al. 2012, ApJ, 748, L22 [Google Scholar]
- Orihara, R., Momose, M., Muto, T., et al. 2023, PASJ, 75, 424 [CrossRef] [Google Scholar]
- Paardekooper, S.-J., Leinhardt, Z. M., Thébault, P., & Baruteau, C. 2012, ApJ, 754, L16 [NASA ADS] [CrossRef] [Google Scholar]
- Pascucci, I., Testi, L., Herczeg, G. J., et al. 2016, ApJ, 831, 125 [Google Scholar]
- Pierens, A., Nelson, R. P., & McNally, C. P. 2021, MNRAS [Google Scholar]
- Pineda, J. E., Quanz, S. P., Meru, F., et al. 2014, ApJ, 788, L34 [Google Scholar]
- Pinte, C., Price, D. J., Ménard, F., et al. 2018, ApJ, 860, L13 [Google Scholar]
- Pinte, C., van der Plas, G., Ménard, F., et al. 2019, Nat. Astron., 3, 1109 [NASA ADS] [CrossRef] [Google Scholar]
- Pinte, C., Price, D. J., Ménard, F., et al. 2020, ApJ, 890, L9 [CrossRef] [Google Scholar]
- Price, D. J., Cuello, N., Pinte, C., et al. 2018, MNRAS, 477, 1270 [Google Scholar]
- Ragusa, E., Fasano, D., Toci, C., et al. 2021, MNRAS, 507, 1157 [NASA ADS] [CrossRef] [Google Scholar]
- Ren, B. B., Benisty, M., Ginski, C., et al. 2023, A&A 680, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ribas, Á., Espaillat, C. C., Macías, E., et al. 2017, ApJ, 849, 63 [NASA ADS] [CrossRef] [Google Scholar]
- Ribas, Á., Espaillat, C. C., Macías, E., & Sarro, L. M. 2020, A&A, 642, A171 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rich, E. A., Teague, R., Monnier, J. D., et al. 2021, ApJ, 913, 138 [NASA ADS] [CrossRef] [Google Scholar]
- Rich, E. A., Monnier, J. D., Aarnio, A., et al. 2022, AJ, 164, 109 [NASA ADS] [CrossRef] [Google Scholar]
- Schmid, H. M., Joos, F., & Tschan, D. 2006, A&A, 452, 657 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schmid, H. M., Bazzon, A., Roelfsema, R., et al. 2018, A&A, 619, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Serkowski, K., Mathewson, D. S., & Ford, V. L. 1975, ApJ, 196, 261 [NASA ADS] [CrossRef] [Google Scholar]
- Siess, L., Dufour, E., & Forestini, M. 2000, A&A, 358, 593 [Google Scholar]
- Smart, R. L., & Nicastro, L. 2014, A&A, 570, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Stolker, T., Dominik, C., Avenhaus, H., et al. 2016, A&A, 595, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Tazaki, R., Tanaka, H., Muto, T., Kataoka, A., & Okuzumi, S. 2019, MNRAS, 485, 4951 [NASA ADS] [CrossRef] [Google Scholar]
- Teague, R., Bae, J., Bergin, E. A., Birnstiel, T., & Foreman-Mackey, D. 2018, ApJ, 860, L12 [NASA ADS] [CrossRef] [Google Scholar]
- Valegård, P.-G., Ginski, C., Derkink, A., et al. 2024, A&A, 685, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van der Marel, N., Cazzoletti, P., Pinilla, P., & Garufi, A. 2016, ApJ, 832, 178 [Google Scholar]
- van der Marel, N., Birnstiel, T., Garufi, A., et al. 2021, AJ, 161, 33 [Google Scholar]
- van der Plas, G., Wright, C. M., Ménard, F., et al. 2017, A&A, 597, A32 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van Holstein, R. G., Girard, J. H., de Boer, J., et al. 2020, A&A, 633, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van Holstein, R. G., Stolker, T., Jensen-Clem, R., et al. 2021, A&A, 647, A21 [EDP Sciences] [Google Scholar]
- Villenave, M., Benisty, M., Dent, W. R. F., et al. 2019, A&A, 624, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Voirin, J., Manara, C. F., & Prusti, T. 2018, A&A, 610, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Walsh, C., Juhász, A., Pinilla, P., et al. 2014, ApJ, 791, L6 [Google Scholar]
- Walsh, C., Juhász, A., Meeus, G., et al. 2016, ApJ, 831, 200 [Google Scholar]
- Weidenschilling, S. J. 1977, Ap&SS, 51, 153 [Google Scholar]
- Xiang-Gruess, M., & Papaloizou, J. C. B. 2013, MNRAS, 431, 1320 [Google Scholar]
- Zhang, Y., Ginski, C., Huang, J., et al. 2023, A&A, 672, A145 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
While we get very consistent results for both stages of our fitting approach for the inner ring at 59 au, we do see roughly a factor 2 increase in the aspect ratio for the outer ring and the constrained annulus grid method. This is likely caused by the somewhat ill defined separation of the outer ring signal from the inner ring signal along the minor axis, and in particular toward the forward scattering side of the disk.
We are using this normalization since there is an observational correlation between dust mass and accretion rate in young systems (see, for example, Manara et al. 2016b). We note that we are applying a linear scaling in accordance with the model of a pure Shakura & Sunyayev-like disk. The empirical relation finds on the other hand a power law inex of 0.7 for the disk mass to accretion rate relation. Since our systems have a variety of dust masses we rather compare the accretion rate in units of the total disk mass for individual systems.
Recently Rich et al. (2021) found an even larger flaring exponent after suggesting a different fitting approach for one of the disk rings in HD97048.
All Tables
Degree of linear polarization (DoLP) and angle of linear polarization (AoLP) of the stellar light measured from the SPHERE/IRDIS observations.
Observing dates, instrument setup, and weather conditions for all systems in our study. The average values for the Seeing and the coherence time τ0 of the atmosphere during the observation blocks are listed.
All Figures
Fig. 1 Degree of linear polarization and angle of linear polarization of our target sources (red) and measurements by Covino et al. (1997) using background stars behind the Cha I cloud (gray). Optical measurements by Covino et al. (1997) were extrapolated to the near-infrared regime by Serkowski’s law. Polarization vectors are overlayed on a Herschel/SPIRE image at 160 µm showing the dust in the Cha I cloud. |
|
In the text |
Fig. 2 Herschel/SPIRE RGB image of the Chal star-forming region constructed from the 150 µm, 250 µm, and 500 µm channels showing the interstellar dust (central panel). SPHERE/IRDIS Qϕ images for all systems with extended circumstellar dust in our sample (surrounding panels). The shown SPHERE data were taken in the H-band, with the exceptions of the HD 97048 and SY Cha system, for which we show K-band data, as well as the CS Cha and CV Cha systems for which we show J-band data. The position of each detected source within the Cha I cloud is indicated with white markers with green border; the positions of systems in our sample with nondetections of circumstellar dust are shown as gray stars with orange borders. For the CS Cha, HP Cha, and CHX 22 systems, the positions of visible stellar multiple components are indicated. |
|
In the text |
Fig. 3 Aspect ratio for all disks with at least one measured surface height. The black dashed line is the fit to several Τ Tauri stars done by Avenhaus et al. (2018), while the red dash-dotted line is the fit to the SPHERE J-band data of HD 97048 from Ginski et al. (2016). Data points in gray and black have intrinsically very large uncertainties (not displayed, but shown in Table 3). |
|
In the text |
Fig. 4 Target colors vs. disk brightness in scattered light. The slopes of the SEDs between K-band and 5 µm and between 5 µm and 22 µm are compared with the polarized-to-stellar contrast, indicated by the symbol color. The disk dust mass is indicated by the symbol size. |
|
In the text |
Fig. 5 Polarized contrast as a function of dust mass in the system, the accretion lifetime and the system age. Left: polarized contrast vs. dust mass in the system as measured from ALMA continuum photometry. Middle: polarized contrast vs. accretion lifetime of the systems as calculated from the accretion rate measured by Manara et al. (2019), normalized by the dust mass in each system. Right: polarized contrast vs. system age. |
|
In the text |
Fig. 6 Radial profiles of all detected disks along the major axis. The polarized flux is in all cases normalized to unity and then displayed on a logarithmic scale. The profiles of individual disks have been vertically offset from each other for better readability by 3 units of the y-axis (starting with an offset of 0 for VZ Cha). For the same reason the individual profiles are alternated in red and black. The region directly covered by the IRDIS coronagraph is excluded from the plot, while the region that is still influenced by coronagraph suppression is shaded light gray. Gray dashed lines are added on the right side of the plot to indicate a r−2 drop-off, expected from a scattered light signal. |
|
In the text |
Fig. 7 Multi-band polarimetric observations of the disk around the CS Cha system with SPHERE/ZIMPOL and SPHERE/IRDIS. The Alter band is indicated in each image. Displayed are the Qϕ images for all bands. The gray hashed disk in the center marks the size of the coronagraphic mask that was employed. |
|
In the text |
Fig. 8 Radial contrast profiles of the CS Cha multi-band observations along the major axis. The contrast is calculated relative to the total intensity of the central star. The filter band is indicated by line style and color. The region covered by the utilized coronagraphs is shaded dark gray, while the region where coronagraph suppression is still significant is shaded light gray. The ZIMPOL coronagraph is smaller than the IRDIS coronagraph, and that the I-band data can be traced farther in. Due to the noisy nature of the R-band data, they are excluded here. |
|
In the text |
Fig. 9 Integrated polarized scattered light to total intensity stellar flux ratio for CS Cha (red dots). The H-band data might be affected by systematic calibration issues, as discussed in Ginski et al. (2018). Also shown are the same for different compact dust aggregate models computed for the inclination of the CS Cha system, assuming a settled disk with a flaring exponent of 1.09. Dust particles are spherical and a size distribution with minimum grain size of 0.1 μm is assumed. The maximum grain size is a free parameter and is indicated in the figure. |
|
In the text |
Fig. 10 SPHERE/ZIMPOL I-band observation of CS Cha A. The primary star is resolved in two components. The data are shown on a linear color scale. |
|
In the text |
Fig. 11 Combined image showing the ALMA continuum observation at 887µm of CS Cha, first published by Francis & van der Marel (2020), together with the new ZIMPOL data showing the resolved stellar binary. We overplot five random orbits from the resulting MCMC fit shown in Fig. F.2 to illustrate the size of the binary orbit relative to the cavity size in millimeter continuum. |
|
In the text |
Fig. 12 Qϕ image of the CV Cha system from J-band observations. Two steep azimuthal dips in brightness are detected. |
|
In the text |
Fig. 13 Axial asymmetry of the disk surrounding HD 97048 relative to the minor axis from SPHERE K-band observations. The disk was flipped around its minor axis and then the original image was divided by the flipped image. The ratio of the two is indicated by the color map. The white dashed line indicates the disk minor axis. |
|
In the text |
Fig. 14 Observational data of the SY Cha system. Left: SPHERE/IRDIS polarized light H-band data of SY Cha. A variable Gaussian kernel was used to smooth the image. The FWHM of the kernel was set proportional to the inverse of the signal in the image (i.e., regions with strong signal were smoothed minimally), while regions that mostly contained background noise were smoothed strongly, analogously to what was done for the UX Tau system in Ménard et al. (2020). The data are shown on a logarithmic scale in order to highlight the disk morphology. The effective resolution element is shown on the lower right. The black dashed ellipse matches the ALMA inclination and position angle and highlights two features near the northern ansae. Middle: SPHERE/IRIDS K-band data of SY Cha. The image is shown on a logarithmic scale. The data have been smoothed with a simple Gaussian to boost the signal. Right: ALMA dust continuum emission of SY Cha in Band 7 from Orihara et al. (2023). The beam size is indicated by the white ellipse in the lower right corner. |
|
In the text |
Fig. 15 Qϕ image of the extended disk around the SZ Cha system. The color map is logarithmic to highlight the disk morphology. The hashed circle in the image center indicates the coronagraphic mask that was placed in front of the star. |
|
In the text |
Fig. 16 Qϕ image of the WW Cha system from H-band observations. An extended dust structure is visible in polarized light beyond the cir-cumstellar disk. A dark wedge sharply separates the disk from the extended material in the northwest direction. |
|
In the text |
Fig. 17 Schematic of the WW Cha system geometry. The disk likely extends farther out in gas and small grains than is detected in scattered light, either due to shadowing or due to the signal dropping below the noise threshold. The dark wedge in the data is caused by a combination of the unseen extended disk and the disk mid-plane. |
|
In the text |
Fig. B.1 All coronagraphic images of our target sample. The color scale is linear in all images with the same cuts in each row, but different cuts for different sources. The color scale is symmetric around 0. The gray hashed circles show the coronagraph size and position. The Stokes Q and U images are in the first two columns and the derived Qϕ and Uϕ images in columns 3 and 4. In column 5 is shown the Qϕ image corrected for the separation-dependent drop-off in illumination (taking into account the system inclination). In the last column, the Qϕ image is shown on a log scale to highlight the fainter parts of the disks. |
|
In the text |
Fig. B.2 All noncoronagraphic images of our target sample. The color scale is linear in all images with the same cuts for all images. The color scale is symmetric around 0. The final column in each row in the red-orange hues shows the total intensity images in which the stellar light dominates. For WX Cha and WY Cha close stellar binary companions are visible in the data. |
|
In the text |
Fig. B.3 Optical (ZIMPOL) Stokes Q and U images for our observations of the CS Cha system. The I-band data are on the left and the R-band data on the right. All images use the same (linear) color scale. |
|
In the text |
Fig. B.4 Imagery of the sample. The Qϕ image of all targets is shown at the same logarithmic, flux scale, and physical scale (as indicated in the first panel). Detections are indicated by a name in bold, nondetections in italics. The gray circles mark the size of the coronagraphic mask, while the red diamonds give the position of any unmasked star (both primary in noncoronagraphic observations and companions). |
|
In the text |
Fig. C.1 Radiative transfer polarized intensity model images with different flaring exponents β seen at different inclinations. The full gallery of model images are shown up to an inclination of 85°. However, only models up to 65° are included in our test fits, as for higher inclinations our fitting approach breaks down. |
|
In the text |
Fig. C.2 Ellipse fit to the outer disk edge for our radiative transfer model images. Fitting results are shown as a function of model inclination. The expected results are indicated by the red dashed lines. |
|
In the text |
Fig. C.3 Ellipse fit to the outer disk edge in 9 of the 20 systems in this study. Disk images are shown on a saturated color map to highlight the edge (i.e., the region where the disk signal drops below 3σ above the sky background). The yellow dashed lines show the final fitted ellipse. |
|
In the text |
Fig. C.4 Ellipse fit to the detected ring substructure in HD 97048, SY Cha, and SZ Cha. Each ring was fitted individually, while other features were masked. The displayed fitted ellipses (yellow dashed lines) represent the nominal best fit to the data, not taking into account any prior knowledge of the disk inclination and position angle. |
|
In the text |
Fig. D.1 Spectral energy distributions for all our target systems. Photometric data points are marked as red crosses (uncertainties are smaller than the symbol size). The black lines mark the best fitting stellar models. In the last row an example for a disk bright in scattered light and a disk faint in scattered light are highlighted. The blue and purple lines give the slopes used in figure 4 |
|
In the text |
Fig. E.1 Radiative transfer models of CS Cha created with RADMC3d using compact dust grains with a maximum size of 0.32µm. The system inclination is set to 22° with a flaring exponent of the disk surface of 1.09. The models closely match the lack of forward scattering also absent in the data, as well as the sharp drop in brightness between the J-band and the I-band. |
|
In the text |
Fig. F.1 Results of orbiti𝓏e! MCMC fit of the CS Cha stellar binary. The astrometry point (top panels) was retrieved in this study. The radial velocity data points are from Guenther et al. (2007). The radial velocity data are plotted after subtraction of the radial velocity offset of 14.6 km s−1, as retrieved from our orbit fit. |
|
In the text |
Fig. F.2 Results of orbiti𝓏e! MCMC fit of the CS Cha stellar binary. Shown are the inclinations, eccentricities, and semi-major axes of the resulting orbit distributions. |
|
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.