Free Access
Issue
A&A
Volume 645, January 2021
Article Number A125
Number of page(s) 11
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/202039126
Published online 29 January 2021

© ESO 2021

1 Introduction

Stars form in dense accumulations of interstellar dust and gas. However, our understanding of the star formation process, including the roles that various physical processes play during the evolution of a collapsing molecular cloud to an evolved star, remains incomplete. In particular, the impact that magnetic fields may have at various stages of the star formation process is a matter of open debate (Matthews & Wilson 2002; Pudritz et al. 2013; Seifried & Walch 2015). For example, magnetic fields are considered to slow down the contraction of star-forming regions and filaments, thus providing a possible explanation of the observed low star formation rates (Van Loo et al. 2015; Federrath 2015). Furthermore, such fields are expected to influence the coupling of the gas and dust phase as well as the shape of cloud fragments (Wolf et al. 2003). Measuring magnetic field strengths and structures is the most direct approach to addressing these open issues. One way to obtain this information is through polarimetric observations of the thermal re-emission radiation.

It is widely assumed that the polarization observed in Bok Globules at submillimeter/millimeter (submm/mm) wavelengths is caused by aligned elongated dust grains. This provides the opportunity to indirectly observe the magnetic field if the dust grains are aligned with the magnetic field direction. Several alignment theories exist (for an overview see, e.g., Andersson et al. 2015). One of the most promising is based on radiative torques (RATs). Here, elongated dust grains are assumed to spin up and align with their longer axis perpendicular to the magnetic field lines because of the Barnett effect (Barnett 1915; Lazarian 2007; Lazarian & Hoang 2007; Hoang & Lazarian 2009) in the presence of an anisotropic radiation field (e.g., central star embedded in a circumstellar envelope). However, there is a competing process that also causes polarized emission but is not associated with the magnetic field, that of self-scattering (Kataoka et al. 2015). Here, the re-emitted thermal radiation of the dust grains gets scattered by the dust and thus polarized as well.

Assuming the detected polarization is caused by the emission of magnetically aligned nonspherical dust grains, it is possible to draw conclusions about the underlying magnetic field. Analyzing the polarization pattern provides information about the magnetic field strength and structure. Additionally, a strong magnetic field might lead to a close alignment between outflow and magnetic field direction (Matsumoto et al. 2006). Furthermore, with knowledge of the magnetic field strength, one can evaluate whether the magnetic field is strong enough to provide support against gravity due to magnetic pressure (Crutcher et al. 2004).

Bok globules are suitable objects to study star formation because they are compact, mostly isolated objects with simple shapes and show signs of low-mass star formation (Bok 1977). Furthermore, polarimetric observations of these objects reveal a peculiar property of their polarization pattern at submillimeter wavelengths: in various cases, Bok globules show a decrease in polarization degree towards their dense central regions (“polarization holes”, e.g., Henning et al. 2001; Wolf et al. 2003). Several hypotheses exist that try to explain this phenomenon: (a) an increased disalignment of the dust grains due to higher density and temperature (Goodman et al. 1992), (b) an insufficient angular resolution of a possibly complex magnetic field structure on scales below the resolution of the polarization maps (e.g., Shu et al. 1987; Wolf et al. 2004), (c) less elongated dust grains in dense regions (e.g., Creese et al. 1995; Goodman et al. 1995), and (d) unaligned graphite grains accumulated in dense regions (e.g., Hildebrand et al. 1999).

In addition to the effects quoted above, Brauer et al. (2016) concluded that (e) certain combinations of optical depth, dust grain size, and chemical composition may also provide an explanation for the phenomenon of polarization holes. Here, two scenarios are of interest: as long as the globule is optically thin at the observing wavelength, the net polarization of the polarized thermal re-emission radiation of aligned nonspherical dust grains increases with increasing column density. However, once absorption becomes relevant, for example, towards the central regions of dense molecular cloud cores, dichroic extinction will decrease thedegree of polarization towards the globule core. This effect may even cause a flip of the polarization direction by 90° if the dichroic extinction dominates over dichroic emission (Reissl et al. 2014; Brauer et al. 2016), as seen in NGC 1333 IRAS4A (Ko et al. 2020).

In order to test the hypothesis of the interaction between dichroic extinction and emission, observations at several wavelengths are required to constrain the properties of the dust. This allows us to constrain the wavelength-dependent optical depth, and thus to assess the relative contribution of both counteracting polarization mechanisms, that is, dichroic extinction versus polarized emission. The Bok globule B335 is a particularly suitable object for this study because high-quality data are available from existing polarimetric observations ranging from the near-IR (Bertrang et al. 2014) to submm/mm wavelengths (e.g., Wolf et al. 2003; Maury et al. 2018; Yen et al. 2019, 2020).

This paper is organized as follows: in Sect. 2, we describe the data acquisition and reduction, and the selection criteria we used to constrain the data. In Sect. 3 we present the polarization map of B335, our analysis, and the corresponding model. We discuss the origin of the observed polarization and present the derived magnetic field structure and strength of B335 (Sect. 3.4 and following). Additionally, in Sect. 4.1 we provide a short discussion of our findings for the magnetic field structure in the context of other polarimetric observations. Furthermore, we discuss possible reasons for the observed polarization hole in B335 (Sect. 4.2). Finally, we summarize our results in Sect. 5.

2 Observations

2.1 Source description

B335, a Bok globule at a distance of ≈100 pc (Olofsson & Olofsson 2009), is one of the best studied molecular cloud cores. An east–west elongated molecular outflow with a dynamical age of ≈ 3 × 104 yr (e.g., Chandler & Sargent 1993) was observed by Hirano et al. (1988). The core of B335 is slowly rotating (Kurono et al. 2013). Its size was determined to be ≈0.1 pc (Motte & André 2001; Shirley et al. 2002). The mass of the protostar was estimated to be ≈ 0.4 M (Zhou et al. 1993; Choi et al. 1995). Wolf et al. (2003) derived a total envelope mass of ≈ 5 M within a radius of 1.5 × 104 au from JCMT/SCUBA observations. With single-dish and interferometric observations, infall motions have been detected (e.g., Zhou et al. 1993; Kurono et al. 2013). The simple structure of the object (e.g., Wolf et al. 2003; Davidson et al. 2011) makes it an excellent candidate to study the implications of magnetic fields in collapsing dense cores.

2.2 Data acquisition

SOFIA/HAWC+ band E observations of the globule B335 were carried out on 18 October 2017 as part of the SOFIA Cycle 5 (Proposal 05_ 0189). Band E provides an angular resolution of 18.2″ full width at half maximum (FWHM) at the 214 μm center wavelength. The detector format consists of two 64 × 40 arrays, each comprising two 32 × 40 sub-arrays (Harper et al. 2018). The observations were performed using the chop-nod procedure with a chopping frequency of 10.2 Hz.

The raw data were processed by the HAWC+ instrument team using the data reduction pipeline version 1.3.0. This pipeline consists of different data processing steps including corrections for dead pixels as well as the intrinsic polarization of the instrument and telescope (for a brief description of all steps, see e.g., Santos et al. 2019)resulting in “Level 4” (science-quality) data. These include FITS images of the total intensity (Stokes I), polarization degree P, polarization angle θ, Stokes Q and Stokes U, and all related uncertainties. Furthermore, to increase the reliability of our findings, we apply two additional criteria for the data that will be considered in the subsequent analysis: (1) (2)

where σI and σP are the standard deviations of I and P, respectively. The 19 data points listed in Table A.1 fulfill these requirements.

3 Results

3.1 Polarization map of B335 (at 214 μm)

Figure 1 shows the resulting 214 μm polarization map of B335 overlaid on the corresponding intensity map. The peak emission amounts to 0.14 Jy arcsec−2. In those regions where criteria (1) and (2) concerning the signal-to-noise ratio (S/N) are fulfilled (see Sect. 2.2), the polarization degree decreases from ~5% at the outer regions to ~0.5% at the center. The decrease of the polarization degree towards the center has also been observed in earlier studies in the case of various other Bok globules (e.g., Wolf et al. 2003). Despite the increasing flux towards the central region, the data in the north-eastern area of the central region of the globule do not fulfill criterion (2). However, at the same time this finding provides an upper limit for the polarization degree of 0.25% in this particular region. Thus, this observation demonstrates for the first time that polarization holes in Bok globules may also occur in the far-infrared (far-IR) wavelength regime. The orientation of the polarization vectors shows a highly uniform pattern with a mean polarization angle of 48°.

3.2 Distribution of the polarization vectors and the polarization degrees

Figure 2 (top) shows the distribution of the polarization angle θ. We mostly find polarization angles ranging from 20° to 80° with clear predominance around 60°.

The distribution of the polarization degree P is shown in Fig. 2 (bottom). The degree of polarization varies between 5% and ~0.5%. In the following, we analyze P(I), with intensity normalized to the maximum intensity Imax (see Fig. 3). Assuming optically thin emission, the relationship between polarization degree P and intensity I is equivalent to the relation between P and the corresponding column density.

Inspired by the work of Davis et al. (2000), who applied linear least-square fits to polarimetric observations of the Serpens cloud core and found a correlation between the measured polarization and intensity, Henning et al. (2001) found a correlation between these quantities as well in the case of the two Bok globules CB54 and DC253-1.6.

They approximated the decrease of the polarization degree as a function of increasing intensity by (3)

where a0,  a1, and a2 are fitting parameters. For the 214 μm polarizationmap of B335, we derive following values for these parameters: a0 = −0.85, a1 = 0.99, and a2 = −0.55. A measure of the goodness of the fit is given by the coefficient of determination R2 = 90.5%. Wolf et al. (2003) performed a similar analysis for the polarization holes of the globules B335, CB230, and CB244 at a wavelength of 850 μm. As a result, they obtained averaged values of the fit parameters a0 = −1.7, a1 = 3.96, and a2 = −0.43. Thus, the parameter a2 which describes the slope of the polarization degree is similar at both wavelengths.

thumbnail Fig. 1

SOFIA/HAWC+ band E (214 μm) polarization map of B335. Total intensity is shown with overlaid polarization vectors in red. The length of the vectors is proportional to the polarization degree and the direction gives the orientation of the linear polarization. The isocontour lines mark 20, 40, 60, and 80% of the maximum intensity. According to criteria (1) and (2) only vectors with I > 100 σI and P >2.5 σP are considered (see Sect. 2.2). The beam size of 18.2″ (defined by the FWHM) is indicated in the lower left.

thumbnail Fig. 2

Histogram showing the distribution of polarization angles (top) and polarization degrees (bottom) in the far-IR obtained with SOFIA/HAWC+. The dashed lines represent the mean polarization angle and mean polarization degree = 2.1%, respectively. The solid lines represent the corresponding 1σ levels, 26°, and 1.4%, respectively.

thumbnail Fig. 3

Correlation between the polarization degree and the normalized intensity I (see Sect. 3.2 for details).

3.3 Model of B335

To provide a basis for a comprehensive analysis of the polarization maps, we first derive constraints on the structure, mass, and dust properties of the Bok globule B335. For this purpose, we use a model based on a Bonnor-Ebert density distribution, which is motivated by the rather simple circular shape of the object. For the same reason, it is often used in modeling studies of Bok globules (e.g., Harvey et al. 2001; Kandori et al. 2005, 2020; Brauer et al. 2016). The radially dependent density structure is given by (4)

The density structure is characterized by the truncation radius R0, defining an inner region with constant density. The truncation radius is a free parameter and we obtain its value below by fitting the radial brightness profile of B335. Outside this region, the density decreases towards the outer radius Rout. Following Kandori et al. (2020), we use a value of Rout = 13 100 au. For the central heating source we apply a pre-main sequence star (T Tauri star) with a luminosity of L = 1.5 L and a radius of R = 1.5 R. These values were introduced by Evans et al. (2015) to calculate the mass infall rate of B335.

We adopt compact, homogeneous, spherical dust grains consisting of silicate and graphite (Olofsson & Olofsson 2011) with a mass abundance ratio of 62.5% silicate and 37.5% graphite1. We apply the canonical gas-to-dust ratio of 100:1 and assume that the grain sizes are distributed similarly to the power-law distribution of the ISM: (5)

where dn(a) represents the number of grains with a radius in the range [a, a + da] (Mathis et al. 1977). While we set the minimum dust grain size to amin = 5 nm, as often used for the description of the dust phase of the ISM, it is questionable whether the same argument applies for the maximum grain size (amax = 250 nm for the ISM; see e.g., Mathis et al. 1977). On the one hand, Bok globules represent an early stage of star formation with densities that – in contrast to the conditions in protoplanetary disks – are not favorable for grain growth. On the other hand, Yen et al. (2020) proposed the presence of grains with sizes of a few tens of μm in B335 based on 0.87 mm ALMA observations, but on a size scale of ~100 au, that is, on scales significantly smaller than representive for our SOFIA observation. However, given this uncertainty, we consider maximum dust grain sizes for our model in the range of 250 nm–50 μm. An overview of the considered parameters and chosen values for our model is given in Table 1.

In the following, we constrain the mass of B335 and the maximum grain size by fitting the observed radial brightness profile at λ = 214 μm. For this purpose, we perform radiative transfer simulations using the publicly available Monte Carlo 3D radiative transfer code POLARIS2 (Reissl et al. 2016). We find that a truncation radius of R0 = 1000 au provides thebest agreement between the shape of the derived radial brightness profile and the observed one. First, the temperatureprofile of B335 is calculated self-consistently on the basis of the embedded radiation source and the dust distribution. Subsequently, the re-emission maps are computed based the temperature maps. The procedure is as follows: for a given maximum dust grain size, the globule mass is adjusted to match the observed peak emission. Therefore, in this case, the globule mass is closely connected to the maximum dust grain size. This yields different combinations of maximum dust grain sizes and globule masses. Constrained by the range of possible maximum grain radii amax ∈ [250 nm, 50 μm], the corresponding globule mass range is Mgas ∈ [1, 5] M.

To further constrain the parameters amax and Mgas, we compare the numerically derived fluxes with observational results at a wide range of wavelengths obtained with single-dish telescopes with a resolution similar to that of SOFIA/HAWC+. In particular, B335 was observed with the 15-m James Clerk Maxwell Telescope at 450, 600, 800, 850, 1100, and 1300 μm (Chandler et al. 1990; Launhardt et al. 2010). The result is given in Fig. 4 and Table B.1. The model with a maximum dust grain size of amax = 2 μm and a corresponding mass of Mgas = 4.6 M best fits the observations (χ2 = 0.35, see Table B.1 and Fig. 5 for the corresponding radial brightness profile). The resulting best-fit model has an optical depth of only τ214μm ≈ 0.1 towards the center.

An alternative and commonly used approach to derive the mass of interstellar clouds relies on the assumptions of optically thin dust emission and constant temperature. Here, one calculates the hydrogen gas mass MH based on the measured flux density by (6)

where X is the hydrogen-to-dust mass ratio (X = 100), Mdust the dust mass, Sν the observed total flux density, D the distance to the object, κd(ν) the dust opacity, Bν(ν, Td) the Planck-function, ν the frequency, and Td the dust temperature. Making use of the best-fit model derived above, we obtain a mean dust temperature Td ~ 14 K by averaging the resulting temperature of our temperature map-simulation inside a circle around the peak value with a radius of 3σ3. The derived temperature is similar to literature values (10–14 K; see Wolf et al. 2003). For the considered dust model (with amax = 2 μm), the dust opacity amounts to κd(214 μm) ≈ 0.99 m2 kg−1. This results in a hydrogen mass of ≈ 3.5 M. Considering helium and heavy elements, the total gas mass amounts to Mgas ≈ 1.36 MH ≈ 4.7 M, which is very close to the value derived without the additional simplifications. We conclude that the derived mass based on the 214 μm SOFIA/HAWC+ observation is comparable to values published in earlier studies (≈ 3.5–5 M; Wolf et al. 2003; Kandori et al. 2020).

Table 1

Overview of the parameters considered in the Bok globule model for B335.

thumbnail Fig. 4

Overview of observed fluxes and the corresponding fluxes resulting from POLARIS simulations for combinations of maximum grain sizes amax ∈ [0.25, 50] μm and globule masses Mgas ∈ [1.0, 5.0] M.

thumbnail Fig. 5

Radial profile (I vs. r) for amax = 2 μm and Mgas = 4.6 M in comparison to the observed profile at λ = 214 μm.

3.4 Origin of the polarization at 214 μm: polarization due to self-scattering in the context of Bok globules?

Until a few years ago, it was generally accepted that the (sub)millimeter polarization observed in Bok globules was caused by the emission or absorption of magnetically aligned nonspherical dust grains. However, as spatially resolved polarization maps of selected circumstellar disks (e.g., HL Tau, Stephens et al. 2017) in the same wavelength range are best explained by the process of self-scattering, whether this process could also have an impact in the case of Bok globules remains to be investigated.

To answer this question is important because only the polarization by dichroic emission or absorption of magnetically aligned dustgrains allows us to draw conclusions about the underlying magnetic field structure, while polarization by scattering primarily provides information about the dust grain size and distribution (e.g., Brunngräber & Wolf 2019). In this context, it is important to note that the polarization pattern alone is not a unique indicator of the underlying polarization mechanism because polarization by scattering can generate patterns that mimic the polarization patterns produced by a toroidal or poloidal magnetic field (Yang et al. 2016; Brunngräber & Wolf 2019).

While previous numerical studies of self-scattering were mostly focussed on circumstellar disks (e.g., Yang et al. 2017; Brunngräber & Wolf 2020), its role in the case of Bok globules has barely been addressed. However, a complete analysis of self-scattering in Bok globules is beyond the scope of this study. Instead, we limit ourselves to examining whether self-scattering plays a role in B335 at a wavelength of 214 μm. For our analysis, we simulate self-scattering by spherical dust grains based on the temperature profile of the dust and consider thebest-fit model parameter values for the dust and structure of B335 found in Sect. 3.3.

The resulting polarization pattern due to self-scattering shows a centrosymmetric pattern (see Fig. 6) and is qualitatively different from the observed pattern in Fig. 1. Furthermore, the low optical depth (τ214μm ≈ 0.1, see Sect. 3.3) and the small grain size (compared to the observing wavelength) result in both low scattering efficiency and a low degree of scattered light polarization. Consequently, the polarization degree is several magnitudes smaller than the observed one (Kataoka et al. 2015). Therefore, we can exclude a significant contribution of the effect of self-scattering as an explanation for the observed polarization pattern and polarization degree, and conclude that the measured polarization is caused by the emission of nonspherical magnetically aligned dust grains.

3.5 Magnetic field structure and strength

As discussed in Sect. 3.4, the measured polarization is caused by the emission of nonspherical magnetically aligned dust grains. In this case, the polarization vectors rotated by 90° indicate the projected magnetic field direction of B335 (Fig. 7). As the polarization vectors show a uniform pattern, the resulting magnetic field structure is also uniform on the scales resolved by our observation4. To get an estimate for the magnetic field strength of B335, we apply the Davis-Chandrasekhar-Fermi method (Davis 1951; Chandrasekhar & Fermi 1953):

thumbnail Fig. 6

Synthetic polarization map of B335 at a wavelength of 214 μm derived under the assumption of self-scattering. Total intensity is shown (re-emission and scattered light) with overlaid polarization vectors in red. Polarization due to self-scattering causes a centrosymmetric polarization pattern for our model. The resulting degrees of polarization for our self-scattering model are very low (see reference vector in the upper right corner of the polarization map). The isocontour lines mark 20, 40, 60, and 80% of the maximum intensity. The image has been convolved with a Gaussian profile with the SOFIA/HAWC+ band E FWHM of 18.2″.

(7)

Here, ρgas describes the gas density, vturb the turbulence velocity, and the standard deviation of the mean polarization angle of the polarization vectors. One should keep in mind that, in the best case, the magnetic field should be estimated as a function of distance to the center because the density increases towards the core. However, due to an insufficient number of polarization vectors, we estimate the magnetic field strength based on the mean value, considering the gas density of our best-fit model (averaged over the 3 σ region) ρgas = 5.41 × 10−18 g cm−3. The value for = 26.8 deg is calculated using the 95% confidence interval for the standard deviation. We apply a turbulence velocity of 0.14 km s−1 (Frerking et al. 1987) and derive a magnetic field strength of 142 ± 46 μG at 214 μm. The calculated magnetic field strength of B335 is in the same range as derived for other globules (~100–300 μG, see e.g., Wolf et al. 2003). For B335, Wolf et al. (2003) report a magnetic field strength of 134 μG at 850 μm. As the polarization pattern at 214 μm is more uniform than at 850 μm (see Fig. 1 in Wolf et al. 2003), the magnetic field strength, which was calculated on the basis of the far-IR data, is slightly higher.

Based on the derived magnetic field strength, it is possible to calculate the mass-to-flux ratio MΦ. This ratio indicates whether the core is in collapse or equilibrium. Following Crutcher et al. (2004), we calculate the observed mass-to-fluxratio to the critical mass-to-flux ratio:

thumbnail Fig. 7

Intensity map of B335 with polarization vectors rotated by 90° to indicate the projected local magnetic field direction. The length of the vectors is arbitrary and constant and does not indicate the strength of the magnetic field. The beam size of 18.2″ is indicated in the lower left.

(8)

Here, N(H2) describes the column density and B the magnetic field strength. We use the value for N(H2) corresponding to our best-fit model (see Sect. 3.3). We consider the average value of the column density inside a circle around the peak value with a radius of 3σ and obtain N(H2) ≈ 6.28 × 1022 cm−2. This yields a mass-to-fluxratio of ~3.4, which indicates that the magnetic field is too weak to support against gravity by magnetic pressure alone; in other words, the core is slightly supercritical.

3.6 Influence of the optical depth τ on the polarization pattern

Various hypotheses exist that explain the decrease in polarization degree towards the center of Bok globules. One is based on the possible impact of dichroic absorption in addition to dichroic emission (Brauer et al. 2016). For this reason, and as this theory is relatively easy to verify, we analyze the influence of the optical depth on the polarization pattern in the following, based on our best-fit model derived in Sect. 3.3.

In order to generate polarization maps based on our model, we apply a constant and homogenous magnetic field for simplicity, assuming perfectly aligned dust grains. The direction of the magnetic field is based on our SOFIA/HAWC+ observation (see Fig. 7). We consider the same dust mixture as in Sect. 3.3, but with oblate grains with an axis ratio ab = 2. Here, the radius of an oblate dust grain is given by the radius of an equal-volume sphere. The optical properties were calculated with a code by N. Voshchinnikov5 based on Voshchinnikov & Farafonov (1993). See Fig. 8 (right) for the resulting (beam-convolved) polarization map based on our best-fit model.

As the derived optical depth for our model is only on the order of τ214μm ≈ 0.1 towards the center, the dichroic extinction has little impact on the net polarization of B335. More specifically, the polarization degree decreases from the outer regions to the core by only a factor of ~0.95 (see Fig. 8 left). The optical depth effect can therefore be excluded to explain the decrease of the polarization degree towards the dense regions of B335. As this effect cannot be excluded in general for other Bok globules, whether or not the optical depth could have an impact on the formation of polarization holes or can be excluded as a possible origin needs to be investigated, especially as this effect has already been observed in the case of the young stellar object NGC 1333 IRAS4A (Ko et al. 2020). The degree of polarization that is seen in this simple model is too high. This aspect is considered in the following section.

thumbnail Fig. 8

Correlation between polarization degree and normalized intensity (left) and synthetic intensitymap (right) with overlaid polarization vectors for a Bok globule with M = 4.6 M at λ = 214 μm. Perfectly aligned dust grains are assumed. The isocontour lines mark 20, 40, 60 and 80% of the maximum intensity. The image has been convolved with a Gaussian with the SOFIA/HAWC+ band E FWHM of 18.2″.

3.7 Influence of the stellar source and the interstellar radiation field

The derived polarization degree based on our simple model is significantly higher than observed. Therefore, the model is expanded below with regard to the alignment of dust grains. A significant contribution of self-scattering to the observed polarization in B335 at 214 μm can be excluded (see Sect. 3.4). The remaining mechanism is dichroic emission of magnetically aligned nonspherical grains. Multiple dust-alignment theories exist, and the most promising one relies on radiative torques (RATs, e.g., Lazarian 2007; Hoang & Lazarian 2009), which are considered in the following. Here, nonspherical dust grains align in the presence of a radiation field, i.e., a central star. For an overview of how the radiative torque theory is implemented in POLARIS, see for example Reissl et al. (2016, 2020).

For the analysis of grain alignment in the case of B335, both the central star and the omnipresent interstellar radiation field (ISRF) are considered. We use the description of the ISRF provided by Mathis et al. (1983), applying a scaling factor of 1.47 (Seifried et al. 2020). In the RATs framework, the degree of polarization is influenced by multiple parameters. The RAT efficiency QΓ, defined as (9)

is particularly important (Draine & Weingartner 1996; Hoang & Lazarian 2014). The required parameters and αQ depend on grain shape and material, but are not well constrained. The parameter αQ is in the range of −2.6 to −4 (Lazarian & Hoang 2007; Herranen et al. 2019; Reissl et al. 2020). We set αQ to an average value of −3, while we adjust the parameter to fit the observations. The values for are assumed to vary between 0.01 and 0.4 (Lazarian & Hoang 2007; Reissl et al. 2020).

In the following, we consider the radiation fields of subsequent sources separately:

  • a)

    central star only,

  • b)

    ISRF only and,

  • c)

    central star and ISRF combined.

We apply our best-fit model derived in Sect. 3.3. The temperature map of B335 is calculated self-consistently on the basis of the aforementioned radiation source(s) and the dust distribution. Subsequently, on basis of the temperature maps, the re-emission maps are computed. In the final step, equivolume oblate dust grains with an axis ratio of 2:1 are considered. Figure 9 shows the correlation between polarization degree and normalized intensity for four different values of ∈ (0.1, 0.2, 0.3, 0.4).

We find that the ISRF ensures alignment of the dust grains in the outer regions of the globule, but not in the inner region because the radiation does not penetrate deep enough. This is due to an overly high optical depth for the stellar contribution to the ISRF (λ ≲ 5 μm, τ1μm,core ~ 120), which is important for the alignment of the grains. However, the ISRF alone cannot explain the drop in the degree of polarization because it produces a significantly steeper curve. The high anisotropy and strength of the stellar radiation in the central region causes an increase in polarization degree towards the center, contradicting the observations of polarization holes. The combination of ISRF andstar leads to a similar slope at the outer region to that seen in the observation. We find that a RAT effiency of ≈ 0.1–0.2 leads to a result that matches the observation at the outer region of the globule. These values are very close to the one determined by Reissl et al. (2020) in a study of grain alignment in the diffuse ISM, i.e., = 0.14. However, the decrease in the degree of polarization towards the center cannot be explained on the basis of our model.

thumbnail Fig. 9

Correlation between polarization degree and normalized intensity for three different cases of radiation sources and the SOFIA/HAWC+ observation of B335 at 214 μm. Green: radiation field based only on the ISRF; purple: radiation field based only on the star; red: radiation field based on the star and ISRF; blue: best-fit of our observation (see Fig. 3).

4 Discussion

4.1 SOFIA/HAWC+ observation of B335 in the context of further polarimetric observations

B335 is one of the most observed star-forming regions and has been particularly well covered by polarimetric observations, ranging from the near-IR to submm/mm wavelength; see Fig. 10. Nevertheless, polarimetric results in the far-IR are still missing. Wegive a short overview of selected observations in connection with the observation that we present here.

4.1.1 Near-infrared, 1.24 μm (Js band)

Bertrang et al. (2014) (see Fig. 10 top-left) report a largely well-ordered polarization pattern at the near-IR ( = 103.94° ± 5.01°) at large scales (≈104–105 au). For the comparison of the magnetic field direction, we infer for the near-IR results that the polarization vectors are parallel to the magnetic field (dichroic absorption). Thus, the magnetic field direction is in a comparable range to our findings ( ≈ 140°, Fig. 7). The magnetic field strength in the near-IR (12–40 μG, Bertrang et al. 2014) is smaller by a factor of 5–15 than in the far-IR (~142 μG). As the gas density is significantly lower on larger scales where the magnetic field is traced through observations at near-IR wavelengths, this finding can be attributed to the dependence of the magnetic field strength on the gas density in the flux-freezing limit (Heitsch 2005).

thumbnail Fig. 10

Polarization maps and corresponding magnetic field structure of B335. Top-left: polarization map of B335 in the near-IR (Js band, 1.24 μm, overlaid on a DSS intensity map; Bertrang et al. 2014). Top-right: polarization map of B335 at 214 μm (overlaid on the SOFIA/HAWC+ intensity map; this publication). Bottom-right: polarization map of B335 at 1300 μm (overlaid on the ALMA polarized intensity map; reuse of Fig. 1 in Maury et al. 2018). Shown is the derived magnetic field direction. The arrows indicate the outflow direction. Bottom-left: polarization map of B335 at 870 μm (overlaid on the ALMA contour map; Yen et al. 2020, ©AAS. Reproduced with permission). Shown is the derived magnetic field direction.

4.1.2 870 μm and 1.3 mm

Maury et al. (2018) report that the magnetic field structure at 1.3 mm shows an ordered topology within the inner envelope, with a transition from a large-scale poloidal magnetic field in the outflow direction to a strongly pinched one in the equatorial direction (Fig. 10 bottom-right). Consistent with the 1.3 mm observations, Yen et al. (2020) find that the magnetic field at 870 μm (Fig. 10 bottom-left) changes from ordered to more complex and asymmetric structures within the inner 100 au of B335. The variation of the polarization angles is significantly higher at 870 μm and 1.3 mm than at 214 μm. However, one has to keep in mind that a possibly more complex structure at 214 μm is not resolved due to the lower resolution of SOFIA/HAWC+. The observed polarization degrees at wavelengths of 870 μm and 1.3 mm are in the range of ~1–11%, while for the 214 μm (HAWC+) case the degree of polarization varies between ~0.5 and 5%. The derived magnetic field strength at 1.3 mm is higher (300–3000 μG) than our result. In analogy to the possible role of flux-freezing discussed above, this finding may be explained by a strong inward drag of the magnetic field lines (Maury et al. 2018).

4.2 Polarization hole in B335 at 214 μm

The SOFIA/HAWC+ band E (214 μm) observation shows a decrease in the degree of polarization towards the center of B335 (“polarization hole”, see Fig. 3). Our model can explain the behavior of the degree of polarization (P vs. I) in the outer regions of B335, but not in the core region. In the following we evaluate the various possible reasons for the occurrence of this polarization hole:

  • i)

    Our model is based on RATs and a homogeneous magnetic field. While the assumption of a simple homogeneous magnetic field on large scales based on the SOFIA/HAWC+ observations is motivated by therather homogeneous polarization pattern on that scale, it is not applicable on smaller scales (≲1000 au). High-resolution ALMA observations of B335 show that the magnetic field changes from a homogeneous structure to a more complex asymmetrical structure within the inner ~100 au (see Fig. 10 bottom-left and bottom-right, Maury et al. 2018; Yen et al. 2020). SOFIA/HAWC+ cannot resolve these complex substructures. Beam-averaging over these complex magnetic field regions would result in a decrease in polarization degree (e.g., Glenn et al. 1999; Matthews 2005).

  • ii)

    If the optical depth was higher than actually determined in our modeling approach (see Sect. 3.6), the increased impact of dichroic extinction would also explain the decrease in polarization degree (Brauer et al. 2016).

  • iii)

    Our model consists of a mixture of silicate and graphite dust grains homogeneously distributed over the Bok globule. For our simulations, we assume that graphite grains do not align with the magnetic field (e.g., Hildebrand et al. 1999; Hoang et al. 2015). However, whether this assumption is justified is a matter of open debate (e.g., Chiar et al. 2006; Lazarian 2020). Therefore, an increase in the abundance of graphite towards the center, as assumed by Olofsson & Olofsson (2011), would decrease the degree of polarization. However, in order to achieve a degree of polarization of ≈0.5% in the center of B335 for our model, we would need an unrealistically high abundance of graphite (>80%).

  • iv)

    In addition, the decrease in the degree of polarization towards the center could also be explained with less aligned dust grains at the core (Goodman et al. 1992; Creese et al. 1995). With an alignment efficiency of = 0.01 (smallest reasonable value according to the literature; Lazarian & Hoang 2007; Reissl et al. 2020, see Sect. 3.7 for details), the polarization degree at the core of B335 amounts to ≈0.5%. The polarization hole in B335 could therefore be explained by a decrease in the alignment efficiency by an order of magnitude towards the center.

  • v)

    The polarization degree of thermal radiation depends on the absorption cross-sections of the long (⊥) and short (∥) axis of the dust grains (Cabs,⊥Cabs,∥, e.g., Li 2008; Draine & Fraisse 2009). Therefore, less elongated dust grains with an axis ratio a/b ≪ 2 at the core of the Bok globule would result in a decrease in the degree of polarization.

  • vi)

    Recently, a new, potentially promising mechanism was proposed: radiative torque disruption (Hoang 2019; Hoang et al. 2019). Here, based on the centrifugal force, spinning large dust grains are disrupted into smaller fragments. It was shown that this effect may result in a decrease in the polarization degree with increasing incident radiation field, explaining the occurrence of polarization holes towards protostars (Hoang et al. 2020).

The fact that high-resolution observations have shown a more complex magnetic field substructure suggests that this is the major contributor of the depolarization at the inner regions of B335.

5 Conclusions

Here we report our analysis of polarimetric observations of the Bok globule B335 at 214 μm using SOFIA/HAWC+.

  • 1.

    For the first time, we show that polarization holes in Bok globules can also occur in the far-IR range. The polarization degree decreases from ~5% in the outer regions (distance of ~50″, i.e., 5000 au from the core) to ~0.5% at the core (angular resolution of the polarization map: 18.2″).

  • 2.

    The polarization vectors show a very uniform pattern across the Bok globule, with a mean polarization angle of 48° ± 26°. We determine the magnetic field strength to 142 ± 46 μG, which is in agreement with other magnetic field strength calculations of Bok globules.

  • 3.

    We determine the mass of B335 to be ~4.6 M and a maximum dust grain size of amax = 2 μm. The corresponding optical depth is not high enough to explain the observed polarization hole with dichroic extinction (τ214μm ≈ 0.1 towards the center).

  • 4.

    Our findings of the polarization pattern and the inferred magnetic field directions at large scales are in good agreement with the near-IR results (deviation is ~40°). The polarization degrees at submm/mm and near-IR wavelengths (~1–10%) are higher than in the far-IR (~0.5–5%). From large scales (103–105 au) to small scales (~102 au), the magnetic field structure changes from a mostly uniform to a more complex structure.

  • 5.

    A combination of the interstellar radiation field and the central star as radiation sources is able to explain the decrease in polarization degree at the outer regions (≈104 au from the core) of B335. However, the model fails to explain the low polarization degree within the inner 5 000 au. A complex magnetic field structure, as shown by ALMA (Maury et al. 2018; Yen et al. 2020) but unresolved with SOFIA/HAWC+, provides a possible explanation for the decrease in polarization degree at the inner region.

Acknowledgements

We thank Robert Brauer and Stefan Heese for data aquisition and helpful discussion. This paper is based on observations made with the NASA/DLR Stratospheric Observatory for Infrared Astronomy (SOFIA). SOFIA is jointly operated by the Universities Space Research Association, Inc. (USRA), under NASA contract NNA17BF53C, and the Deutsches SOFIA Institut (DSI) under DLR contract 50 OK 0901 to the University of Stuttgart. Acknowledgement: N.Z. and S.W. acknowledgethe support by 50OR1910. R.B. gratefully receives support through the DFG grant WO857/18-1. N.Z. thanks F. Santos for helpful comments.

Appendix A Polarization measurements of B335 using SOFIA/HAWC+ band E

Table A.1

SOFIA/HAWC+ band E polarization measurements for the Bok globule B335.

Appendix B Overview: observed and theoretical fluxes for B335 at different wavelengths

Table B.1

Observed and simulated peak fluxes Ip with POLARIS for maximum grain sizes amax ∈ [0.25, 50] μm and globule masses Mgas ∈ [1, 5] M.

References

  1. Andersson, B. G., Lazarian, A., & Vaillancourt, J. E. 2015, ARA&A, 53, 501 [NASA ADS] [CrossRef] [Google Scholar]
  2. Barnett, S. J. 1915, Phys. Rev., 6, 239 [CrossRef] [Google Scholar]
  3. Bertrang, G., Wolf, S., & Das, H. S. 2014, A&A, 565, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Bok, J. B. 1977, PASP, 89, 597 [NASA ADS] [CrossRef] [Google Scholar]
  5. Brauer, R., Wolf, S., & Reissl, S. 2016, A&A, 588, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Brunngräber, R., & Wolf, S. 2019, A&A, 627, L10 [CrossRef] [EDP Sciences] [Google Scholar]
  7. Brunngräber, R., & Wolf, S. 2020, A&A, 640, A122 [CrossRef] [EDP Sciences] [Google Scholar]
  8. Chandler, C. J., & Sargent, A. I. 1993, ApJ, 414, L29 [CrossRef] [Google Scholar]
  9. Chandler, C. J., Gear, W. K., Sandell, G., et al. 1990, MNRAS, 243, 330 [NASA ADS] [Google Scholar]
  10. Chandrasekhar, S., & Fermi, E. 1953, ApJ, 118, 116 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  11. Chiar, J. E., Adamson, A. J., Whittet, D. C. B., et al. 2006, ApJ, 651, 268 [CrossRef] [Google Scholar]
  12. Choi, M., Evans, Neal J., I., Gregersen, E. M., & Wang, Y. 1995, ApJ, 448, 742 [NASA ADS] [CrossRef] [Google Scholar]
  13. Creese, M., Jones, T. J., & Kobulnicky, H. A. 1995, AJ, 110, 268 [Google Scholar]
  14. Crutcher, R. M., Nutter, D. J., Ward-Thompson, D., & Kirk, J. M. 2004, ApJ, 600, 279 [NASA ADS] [CrossRef] [Google Scholar]
  15. Davidson, J. A., Novak, G., Matthews, T. G., et al. 2011, ApJ, 732, 97 [Google Scholar]
  16. Davis, L. 1951, Phys. Rev., 81, 890 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  17. Davis, C. J., Chrysostomou, A., Matthews, H. E., Jenness, T., & Ray, T. P. 2000, ApJ, 530, L115 [Google Scholar]
  18. Draine, B. T., & Fraisse, A. A. 2009, ApJ, 696, 1 [NASA ADS] [CrossRef] [Google Scholar]
  19. Draine, B. T., & Lee, H. M. 1984, ApJ, 285, 89 [Google Scholar]
  20. Draine, B. T., & Malhotra, S. 1993, ApJ, 414, 632 [NASA ADS] [CrossRef] [Google Scholar]
  21. Draine, B. T., & Weingartner, J. C. 1996, ApJ, 470, 551 [NASA ADS] [CrossRef] [Google Scholar]
  22. Evans, N. J., I., Di Francesco, J., Lee, J.-E., et al. 2015, ApJ, 814, 22 [Google Scholar]
  23. Federrath, C. 2015, MNRAS, 450, 4035 [NASA ADS] [CrossRef] [Google Scholar]
  24. Frerking, M. A., Langer, W. D., & Wilson, R. W. 1987, ApJ, 313, 320 [Google Scholar]
  25. Glenn, J., Walker, C. K., & Young, E. T. 1999, ApJ, 511, 812 [NASA ADS] [CrossRef] [Google Scholar]
  26. Goodman, A. A., Jones, T. J., Lada, E. A., & Myers, P. C. 1992, ApJ, 399, 108 [Google Scholar]
  27. Goodman, A. A., Jones, T. J., Lada, E. A., & Myers, P. C. 1995, ApJ, 448, 748 [NASA ADS] [CrossRef] [Google Scholar]
  28. Harper, D. A., Runyan, M. C., Dowell, C. D., et al. 2018, J. Astron. Instrum., 7, 1840008 [Google Scholar]
  29. Harvey, D. W. A., Wilner, D. J., Lada, C. J., et al. 2001, ApJ, 563, 903 [NASA ADS] [CrossRef] [Google Scholar]
  30. Heitsch, F. 2005, ASP Conf. Ser., 343, 166 [NASA ADS] [Google Scholar]
  31. Henning, T., Wolf, S., Launhardt, R., & Waters, R. 2001, ApJ, 561, 871 [NASA ADS] [CrossRef] [Google Scholar]
  32. Herranen, J., Lazarian, A., & Hoang, T. 2019, ApJ, 878, 96 [NASA ADS] [CrossRef] [Google Scholar]
  33. Hildebrand, R. H., Dotson, J. L., Dowell, C. D., Schleuning, D. A., & Vaillancourt, J. E. 1999, ApJ, 516, 834 [NASA ADS] [CrossRef] [Google Scholar]
  34. Hirano, N., Kameya, O., Nakayama, M., & Takakubo, K. 1988, ApJ, 327, L69 [Google Scholar]
  35. Hoang, T. 2019, ApJ, 876, 13 [NASA ADS] [CrossRef] [Google Scholar]
  36. Hoang, T., & Lazarian, A. 2009, ApJ, 695, 1457 [Google Scholar]
  37. Hoang, T., & Lazarian, A. 2014, MNRAS, 438, 680 [NASA ADS] [CrossRef] [Google Scholar]
  38. Hoang, T., Lazarian, A., & Andersson, B. G. 2015, MNRAS, 448, 1178 [NASA ADS] [CrossRef] [Google Scholar]
  39. Hoang, T., Tram, L. N., Lee, H., & Ahn, S.-H. 2019, Nat. Astron., 3, 766 [Google Scholar]
  40. Hoang, T., Tram, L. N., Lee, H., Diep, P. N., & Bich Ngoc N. 2020, ApJ, submitted [arXiv:2010.07742] [Google Scholar]
  41. Kandori, R., Nakajima, Y., Tamura, M., et al. 2005, AJ, 130, 2166 [NASA ADS] [CrossRef] [Google Scholar]
  42. Kandori, R., Saito, M., Tamura, M., et al. 2020, ApJ, 891, 55 [NASA ADS] [CrossRef] [Google Scholar]
  43. Kataoka, A., Muto, T., Momose, M., et al. 2015, ApJ, 809, 78 [NASA ADS] [CrossRef] [Google Scholar]
  44. Ko, C.-L., Liu, H. B., Lai, S.-P., et al. 2020, ApJ, 889, 172 [Google Scholar]
  45. Kurono, Y., Saito, M., Kamazaki, T., Morita, K.-I., & Kawabe, R. 2013, ApJ, 765, 85 [Google Scholar]
  46. Launhardt, R., Nutter, D., Ward-Thompson, D., et al. 2010, ApJS, 188, 139 [NASA ADS] [CrossRef] [Google Scholar]
  47. Lazarian, A. 2007, J. Quant. Spectr. Rad. Transf., 106, 225 [NASA ADS] [CrossRef] [Google Scholar]
  48. Lazarian, A. 2020, ApJ, 902, 97 [Google Scholar]
  49. Lazarian, A., & Hoang, T. 2007, MNRAS, 378, 910 [Google Scholar]
  50. Li, A. 2008, ArXiv e-prints [arXiv:0808.4123] [Google Scholar]
  51. Mathis, J. S., Rumpl, W., & Nordsieck, K. H. 1977, ApJ, 217, 425 [NASA ADS] [CrossRef] [Google Scholar]
  52. Mathis, J. S., Mezger, P. G., & Panagia, N. 1983, A&A, 500, 259 [NASA ADS] [Google Scholar]
  53. Matsumoto, T., Nakazato, T., & Tomisaka, K. 2006, ApJ, 637, L105 [NASA ADS] [CrossRef] [Google Scholar]
  54. Matthews, B. C. 2005, ASP Conf. Ser., 343, 99 [NASA ADS] [Google Scholar]
  55. Matthews, B. C., & Wilson, C. D. 2002, ApJ, 574, 822 [NASA ADS] [CrossRef] [Google Scholar]
  56. Maury, A. J., Girart, J. M., Zhang, Q., et al. 2018, MNRAS, 477, 2760 [Google Scholar]
  57. Motte, F., & André, P. 2001, A&A, 365, 440 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Olofsson, S., & Olofsson, G. 2009, A&A, 498, 455 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Olofsson, S., & Olofsson, G. 2011, A&A, 534, A127 [Google Scholar]
  60. Pudritz, R. E., Klassen, M., Kirk, H., Seifried, D., & Banerjee, R. 2013, Proc. IAU, 9, 10 [CrossRef] [Google Scholar]
  61. Reissl, S., Wolf, S., & Seifried, D. 2014, A&A, 566, A65 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Reissl, S., Wolf, S., & Brauer, R. 2016, A&A, 593, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Reissl, S., Guillet, V., Brauer, R., et al. 2020, A&A, 640, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Santos, F. P., Chuss, D. T., Dowell, C. D., et al. 2019, ApJ, 882, 113 [NASA ADS] [CrossRef] [Google Scholar]
  65. Seifried, D., & Walch, S. 2015, MNRAS, 452, 2410 [NASA ADS] [CrossRef] [Google Scholar]
  66. Seifried, D., Walch, S., Weis, M., et al. 2020, MNRAS, 497, 4196 [Google Scholar]
  67. Shirley, Y. L., Evans, Neal J., I., & Rawlings, J. M. C. 2002, ApJ, 575, 337 [NASA ADS] [CrossRef] [Google Scholar]
  68. Shu, F. H., Adams, F. C., & Lizano, S. 1987, ARA&A, 25, 23 [Google Scholar]
  69. Stephens, I. W., Yang, H., Li, Z.-Y., et al. 2017, ApJ, 851, 55 [NASA ADS] [CrossRef] [Google Scholar]
  70. Van Loo, S., Tan, J. C., & Falle, S. A. E. G. 2015, ApJ, 800, L11 [NASA ADS] [CrossRef] [Google Scholar]
  71. Voshchinnikov, N. V., & Farafonov, V. G. 1993, Ap&SS, 204, 19 [NASA ADS] [CrossRef] [Google Scholar]
  72. Wolf, S., Launhardt, R., & Henning, T. 2003, ApJ, 592, 233 [Google Scholar]
  73. Wolf, S., Launhardt, R., & Henning, T. 2004, Ap&SS, 292, 239 [NASA ADS] [CrossRef] [Google Scholar]
  74. Yang, H., Li, Z.-Y., Looney, L. W., et al. 2016, MNRAS, 460, 4109 [Google Scholar]
  75. Yang, H., Li, Z.-Y., Looney, L. W., Girart, J. M., & Stephens, I. W. 2017, MNRAS, 472, 373 [NASA ADS] [CrossRef] [Google Scholar]
  76. Yen, H.-W., Zhao, B., Hsieh, I. T., et al. 2019, ApJ, 871, 243 [Google Scholar]
  77. Yen, H.-W., Zhao, B., Koch, P., et al. 2020, ApJ, 893, 54 [NASA ADS] [CrossRef] [Google Scholar]
  78. Zhou, S., Evans, N. J., I., Koempe, C., & Walmsley, C. M. 1993, ApJ, 404, 232 [NASA ADS] [CrossRef] [Google Scholar]

1

Due to the anisotropy of graphite, the 1/3 - 2/3 approximation (Draine & Lee 1984; Draine & Malhotra 1993) is applied.

3

The value for σ (standard deviation) is obtained by fitting a Gaussian to the radial brightness profile of B335.

4

SOFIA/HAWC+ band E beam size is 18.2″, corresponding to 1820 au.

All Tables

Table 1

Overview of the parameters considered in the Bok globule model for B335.

Table A.1

SOFIA/HAWC+ band E polarization measurements for the Bok globule B335.

Table B.1

Observed and simulated peak fluxes Ip with POLARIS for maximum grain sizes amax ∈ [0.25, 50] μm and globule masses Mgas ∈ [1, 5] M.

All Figures

thumbnail Fig. 1

SOFIA/HAWC+ band E (214 μm) polarization map of B335. Total intensity is shown with overlaid polarization vectors in red. The length of the vectors is proportional to the polarization degree and the direction gives the orientation of the linear polarization. The isocontour lines mark 20, 40, 60, and 80% of the maximum intensity. According to criteria (1) and (2) only vectors with I > 100 σI and P >2.5 σP are considered (see Sect. 2.2). The beam size of 18.2″ (defined by the FWHM) is indicated in the lower left.

In the text
thumbnail Fig. 2

Histogram showing the distribution of polarization angles (top) and polarization degrees (bottom) in the far-IR obtained with SOFIA/HAWC+. The dashed lines represent the mean polarization angle and mean polarization degree = 2.1%, respectively. The solid lines represent the corresponding 1σ levels, 26°, and 1.4%, respectively.

In the text
thumbnail Fig. 3

Correlation between the polarization degree and the normalized intensity I (see Sect. 3.2 for details).

In the text
thumbnail Fig. 4

Overview of observed fluxes and the corresponding fluxes resulting from POLARIS simulations for combinations of maximum grain sizes amax ∈ [0.25, 50] μm and globule masses Mgas ∈ [1.0, 5.0] M.

In the text
thumbnail Fig. 5

Radial profile (I vs. r) for amax = 2 μm and Mgas = 4.6 M in comparison to the observed profile at λ = 214 μm.

In the text
thumbnail Fig. 6

Synthetic polarization map of B335 at a wavelength of 214 μm derived under the assumption of self-scattering. Total intensity is shown (re-emission and scattered light) with overlaid polarization vectors in red. Polarization due to self-scattering causes a centrosymmetric polarization pattern for our model. The resulting degrees of polarization for our self-scattering model are very low (see reference vector in the upper right corner of the polarization map). The isocontour lines mark 20, 40, 60, and 80% of the maximum intensity. The image has been convolved with a Gaussian profile with the SOFIA/HAWC+ band E FWHM of 18.2″.

In the text
thumbnail Fig. 7

Intensity map of B335 with polarization vectors rotated by 90° to indicate the projected local magnetic field direction. The length of the vectors is arbitrary and constant and does not indicate the strength of the magnetic field. The beam size of 18.2″ is indicated in the lower left.

In the text
thumbnail Fig. 8

Correlation between polarization degree and normalized intensity (left) and synthetic intensitymap (right) with overlaid polarization vectors for a Bok globule with M = 4.6 M at λ = 214 μm. Perfectly aligned dust grains are assumed. The isocontour lines mark 20, 40, 60 and 80% of the maximum intensity. The image has been convolved with a Gaussian with the SOFIA/HAWC+ band E FWHM of 18.2″.

In the text
thumbnail Fig. 9

Correlation between polarization degree and normalized intensity for three different cases of radiation sources and the SOFIA/HAWC+ observation of B335 at 214 μm. Green: radiation field based only on the ISRF; purple: radiation field based only on the star; red: radiation field based on the star and ISRF; blue: best-fit of our observation (see Fig. 3).

In the text
thumbnail Fig. 10

Polarization maps and corresponding magnetic field structure of B335. Top-left: polarization map of B335 in the near-IR (Js band, 1.24 μm, overlaid on a DSS intensity map; Bertrang et al. 2014). Top-right: polarization map of B335 at 214 μm (overlaid on the SOFIA/HAWC+ intensity map; this publication). Bottom-right: polarization map of B335 at 1300 μm (overlaid on the ALMA polarized intensity map; reuse of Fig. 1 in Maury et al. 2018). Shown is the derived magnetic field direction. The arrows indicate the outflow direction. Bottom-left: polarization map of B335 at 870 μm (overlaid on the ALMA contour map; Yen et al. 2020, ©AAS. Reproduced with permission). Shown is the derived magnetic field direction.

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.