Issue |
A&A
Volume 518, July-August 2010
Herschel: the first science highlights
|
|
---|---|---|
Article Number | A39 | |
Number of page(s) | 9 | |
Section | Stellar structure and evolution | |
DOI | https://doi.org/10.1051/0004-6361/201014277 | |
Published online | 31 August 2010 |
Extending the Canada-France brown dwarfs survey to the near-infrared:
first ultracool brown dwarfs from CFBDSIR![[*]](/icons/foot_motif.png)
P. Delorme1,4 - L. Albert2 - T. Forveille4 - E. Artigau3,9 - X. Delfosse4 - C. Reylé5 - C. J. Willott6 - E. Bertin7 - S. M. Wilkins10 - F. Allard8 - D. Arzoumanian11
1 - School of Physics & Astronomy,University of St Andrews
North Haugh, St Andrews KY16 9SS, UK
2 - Canada-France-Hawaii Telescope Corporation, 65-1238 Mamalahoa
Highway, Kamuela, HI96743, USA
3 - Département de physique and Observatoire du Mont Mégantic,
Université de Montréal, C.P. 6128, Succursale Centre-Ville,
Montréal, QC H3C 3J7, Canada
4 - Université Joseph Fourier - Grenoble 1, Centre national de la
recherche scientifique, Laboratoire d'Astrophysique de Grenoble
(LAOG), UMR 5571, 38041 Grenoble Cedex 09, France
5 - Observatoire de Besançon, Institut Utinam, UMR CNRS 6213,
BP 1615, 25010 Besançon Cedex, France
6 - Herzberg Institute of Astrophysics, National Research Council, 5071 West Saanich Rd, Victoria, BC V9E 2E7, Canada
7 - Institut d'Astrophysique de Paris-CNRS, 98bis boulevard Arago,
75014 Paris, France
8 - CRAL (UMR 5574 CNRS), École Normale Supérieure, 69364 Lyon
Cedex 07, France
9 - Gemini Observatory Southern Operations Center c/o AURA, Casilla 603
La Serena, Chile
10 - Oxford Astrophysics, Department of Physics, Denys Wilkinson Building
Keble Road Oxford, OX1 3RH, UK
11 - CEA-Saclay, IRFU, SAp, 91191 Gif-sur-Yvette, France
Received 17 February 2010 / Accepted 20 April 2010
Abstract
Aims. We present the first results of the ongoing
Canada-France Brown Dwarfs Survey-InfraRed, hereafter CFBDSIR, a near
infrared extension to the optical wide-field survey CFBDS. Our final
objectives are to constrain ultracool atmosphere physics by finding a
statistically significant sample of objects cooler than 650 K and to
explore the ultracool brown dwarf mass function building on a
well-defined sample of such objects.
Methods. We identify candidates in CFHT/WIRCam J and CFHT/MegaCam z'
images using optimised psf-fitting, and follow them up with pointed,
near-infrared imaging with SOFI at the NTT. We finally obtain
low-resolution spectroscopy of the coolest candidates to characterise
their atmospheric physics.
Results. We have so far analysed and followed up all candidates
on the first 66 square degrees of the 335 square degree survey. We
identified 55 T-dwarfs candidates with z'-J>3.5 and
have confirmed six of them as T-dwarfs, including 3 that are strong
later-than-T8 candidates, based on their far-red and NIR colours. We
also present here the NIR spectra of one of these ultracool dwarfs,
CFBDSIR1458+1013, which confirms it as one of the coolest brown dwarf
known, possibly in the 550-600 K temperature range.
Conclusions. From the completed survey we expect to discover 10
to 15 dwarfs later than T8, more than doubling the known number of such
objects. This will enable detailed studies of their extreme atmospheric
properties and provide a stronger statistical basis for studies of
their luminosity function.
Key words: methods: observational - brown dwarfs - techniques: photometric - techniques: spectroscopic - methods: data analysis
1 Introduction
The significant improvement in detector technology, data storage, and analysis facilities in the past decade has made it possible to carry out wide-field surveys covering a large fraction of the sky instead of targeting specific sources. The wealth of data from these surveys necessitate a complex dedicated computer analysis to single out relevant scientific information. These surveys, such as DENIS (Epchtein et al. 1997), SDSS (York et al. 2000), 2MASS (Skrutskie et al. 2006), UKIDSS (Lawrence et al. 2007), and CFBDS (Delorme et al. 2008b) contain hundreds of millions of astrophysical sources and led to many advances in various fields, notably to identify extremely rare objects and build robust statistical studies.
The survey we are presenting here, the Canada-France Brown Dwarfs
Survey-InfraRed aims at finding ultracool brown dwarfs (
K) of
which only 6 are currently published by
Burningham et al. (2010,2008,2009); Delorme et al. (2008a); Warren et al. (2007).
Lucas et al. (2010) have very recently identified a probably even
cooler object. These
rare objects are in many ways the intermediate ``missing link'' between the cold
atmospheres of the Solar System's giant planets and
cool stellar atmospheres. The physics and chemistry of their
atmospheres, dominated by broad molecular absorption bands, are very
planetary-like (see Kulkarni 1997, for instance) and the cool
brown dwarfs spectra are the key to constraining planetary and stellar
atmosphere models.
Nowadays, the
K atmosphere temperature regime is troublesome
for modellers.
A few ultracool late T brown dwarfs have now been discovered with
effective temperatures below 650 K. These
discoveries step into unexplored territory and a new generation of
models is emerging. It is facing several difficulties. 1)
Out-of-equilibrium chemistry plays an important role, resulting for
instance
in NH3 being less prevalent than expected (Cushing et al. 2006). 2) Fine details
of convection control both the L/T transition and the dredge up of
hot chemical species in late T atmospheres. 3) Water cloud formation
and dust nucleation play important roles. 4) Line opacities of several
molecules, in particular NH3 and, to a lesser extent, CH4 are
unknown and cause important spectroscopic feature mismatches. As a
good example of the need for refined models, Burningham et al. (2009)
have recently determined that a T8.5 dwarf companion to an M star was
actually
15% cooler than model fitting would have
predicted and Dupuy et al. (2009) and Liu et al. (2008) reached similar
conclusions when studying brown dwarf binaries with dynamical masses.
Under those circumstances, observations are key to the development of
the models. Only five brown dwarfs with temperatures below 650 K (T8.5) are
currently known from recent discoveries by UKIDSS and CFBDS, and this small
number prevents discerning general trends from individual
peculiarities. Kirkpatrick et al. (1999) and Burgasser et al. (2002)
could rely on samples of 20-25 objects to respectively define the
L and T spectral types.
In this article we present the CFBDSIR, a near infrared (hereafter
NIR) extension to
the CFBDS that will provide a WIRCAM (Puget et al. 2004) J-band coverage down to
for 10
detections atop 335 square
degrees of CFBDS MegaCam (Boulade et al. 2003) z'-band imaging with a 5
detection limit of
z'AB=23.25-24.05. All optical magnitudes presented in this
article are AB magnitudes,
while all NIR magnitudes are Vega magnitudes.
When the CFBDSIR is complete, we hope to achieve a threefold increase
in sample size to 15-20 characterised ultracool brown dwarfs and
possibly find a few substellar objects significantly cooler than 500 K of which
none is known yet outside the solar system. This will define
general trends and dispersions around
them, permitting the study of ultracool dwarfs not only as individual
interesting objects, but as a population. This will help define the
T/Y spectral transition that is expected to occur in this temperature
range. In Sect. 1 we present the rationale of this new wide-field
survey and the observations at its core. In Sect. 2 we describe the
data reduction and the data analysis methods we used to identify
ultracool brown dwarfs candidates. Finally, we present the spectra and
the photometry of
the first ultracool brown dwarf identified with CFBDSIR in Sect. 3.
2 Observations
2.1 Far-red and near infrared photometric properties of brown dwarfs
Field brown dwarfs are cool objects, with a temperature range that
currently extends from 2500 K (early L) to
525 K
(latest objects identified, e.g. Leggett et al. 2009).
Even cooler, and still to be found, brown dwarfs should close the temperature gap between
late type T-dwarfs and solar system Jovian planets (
110 K). These
objects do exist (see Burgasser et al. 2009, for instance) because
low-mass brown dwarfs already observed in young clusters must cool
down to this temperature range when they age.
Brown dwarfs spectra differ significantly from a black body, and have considerable
structure from deep absorption lines and bands. The spectral energy
distribution of 500 K brown dwarfs peaks in the in the J band in the
near infrared
(even colder objects should emit more energy in the
mid-infrared), and they are therefore most easily detected
in that wavelength range. Their NIR JHK colours are, however,
not distinctive at a modest signal-to-noise ratio (see Metchev et al. 2008, for instance), and brown dwarfs are more
easily recognised by including at least one photometric band
blueward of 1
m. At those wavelengths the steep slope
of their spectra stands out, and they have very distinctively
red i'-z' and z'-J colours. The CFBD Survey (Delorme et al. 2008b)
took advantage of their distinctive i'-z' colours to identify
hundreds of L and T-dwarfs. However, the reddest
and coolest brown dwarfs have extremely red z'-J colours and are
much easier to detect in the NIR than on original CFBDS far-red
images. A WIRCam J-band coverage of CFBDS
fields is a straightforward
and efficient way to cumulate both the very effective selection
criteria using far-red colour information and the NIR detection sensitivity to
ultracool brown dwarfs. Since the overlap of
CFBDS with existing NIR surveys with a relevant depth (such as
UKIDSS, Lawrence et al. 2007) is marginal, it was impossible to rely on
archive data.
Table 1: Comparison of CFBDS optical surveys with CFBDSIR.
The resulting survey, CFBDSIR, identifies astrophysical sources on
J-band WIRCam (Puget et al. 2004) images and selects ultracool brown dwarfs candidates
depending upon their z'-J colours, using z' magnitudes from CFBDS
MegaCam (Boulade et al. 2003) images.
The z'-J colour has a wide range for brown dwarfs, varying
from 2.6 for mid-L types to
over 4.5 for late-T types (Fig. 2). It therefore
provides (at least at a good signal-to-noise ratio) a good selection criteria to
identify ultracool brown dwarfs. They usually have z'-J>3.8, as
confirmed by atmosphere models such as BT-Settl (Allard et al. 2007), synthetic
MegaCam/WIRCam colours derived from known objects
(Delorme et al. 2008b) and direct
observational data (Burningham et al. 2008,2009; Delorme et al. 2008a). Models
suggest that cooler objects, not yet discovered (T<500 K), are even redder.
Figure 2 however shows that the colour-spectral type relation
for late T-dwarfs has a wide spread, meaning that
this z'-J colour range also contains some warmer mid-T
dwarfs. Follow-up photometry of candidates in H and
band easily distinguishes the relatively blue very late T from the redder
mid-T-dwarfs (see Lodieu et al. 2007, for instance). Only very rare
astrophysical objects share the same z'JHK colour
range: very high-redshift starburst-galaxies, extremely red Balmer break
galaxies, and atypical broad absorption-lines quasars at
moderately high redshift
(
), such as those described in Hall et al. (2002). However,
those objects can be differenciated from brown dwarfs using only
photometry: they are not as red in i'-z' as ultracool brown dwarfs
and will appear in the i' CFBDS images whereas brown dwarfs will
not. Quasars with redshift z>7 cannot be distinguished from
cool brown dwarfs using the CFBDSIR i',z',J and optical
photometry, but we would be lucky to find just one of these
extremely interesting objects. None has been
discovered yet, and extrapolation of the z=6 luminosity
function (Willott et al. 2010) suggests that wider or/and deeper
surveys will be needed to find one.
Other possible contaminants are detector artefacts
and variable objects whose luminosity changed between z' and Jexposures.
2.2 The survey
WIRCam NIR data. This article focuses on the results obtained from a 66 square degrees pilot subset of CFBDSIR whose final coverage is expected to be 335 square degree. CFBDSIR WIRCam imaging goes to a depth of






Optical data.
The optical data consist of the z'-band images used for the CFBD
Survey. This survey is made of public and P.I. data and associated 4
sub-surveys of different area shallowness, namely the Canada-France-Hawaii
Telescope Legacy Survey-Very Wide, CFHTLS-Wide, CFHTLS-Deep and
Red-sequence Cluster Survey-2 (RCS2), described in detail by
Delorme et al. (2008b). The CFBDSIR only targets the 3 shallower
components, as shown in Table 1. This table compares
the limiting magnitude, the maximum distances of detection for
mid-L, mid T and the latest T-dwarfs, together with
the areas covered by each survey. The similar table 1 in
Delorme et al. (2008b) incorrectly uses the maximal magnitude limit
for the
CFHTLS-WIDE, instead of the average one. The value of 23.3 stated in
Table 1 here corrects this error. The 335 square degrees CFBDSIR
probes about 2.8 times more volume for
late T-dwarfs than the 900 square degree CFBDS, and even more for
redder (and thus likely cooler) objects. Figure
1 shows the sky coverage of CFBDSIR as of March
2010. The optical data is public and available on the CFHT archive,
while the NIR data becomes public after the standard one-year
CFHT proprietary period.
![]() |
Figure 1: Map of observed CFBDSIR fields as of March 2010. Dashed lines are +/-20 degrees of galactic latitude. |
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Survey rationale.
Ultracool brown dwarfs have
for the MegaCam
and WIRCam photometric systems, with some already observed
at z'-J=4.5.
Given the relative depth of the optical and NIR exposures, most of the
T-dwarfs earlier than T7 detected in the J-band image will have a
z'-band counterpart. The objects detected at J and not at
z' (hereafter z-dropouts) are thus good candidates for some of the
coolest T-dwarfs known (>T7), and possibly even cooler Y dwarfs.
Since our most interesting candidates are likely to only be
detected in J-band, we need to carefully eliminate most sources of
contamination in this band. The main contaminants are detectors artefacts,
variable objects and asteroids. As described in
detail in Sect. 3.2, our point spread function
(hereafter PSF)
analysis removes most artefacts, while all asteroids are eliminated
because they move between the two exposures taken at each
pointing. Supernovae and other strongly variable objects have to
be rejected
during the follow-up, but their numbers are kept low thanks to the
relative shallowness of the survey. Since we select
all PSF-looking z'-band dropouts, CFBDSIR also very efficiently
identifies high-proper motion objects: if the proper motion is high
enough that a J-band source cannot be cross-matched with its
z'-band counterpart, the automatic pipeline keeps the
candidate in the selection as a z'-band
dropout. Visual examination of all selected candidates subsequently
identifies those high proper motion sources easily.
NIR Follow-up. The NIR follow-up of CFBDSIR candidates removes the remaining candidates but also provides an efficient characterisation of the confirmed candidates. Ultracool brown dwarfs can be singled out by their blue J-H and H-K colours owing to stronger H2O, CH4 and probably NH3 absorption than earlier T dwarfs. The CFBDSIR follow-up of the first 66 square degrees from CFBDSIR required about 3.5 nights on SOFI (Moorwood et al. 1998) at NTT. We were able to observe all 55 T-dwarfs candidates identified and to confirm 6 of them as T-dwarfs, including 3 ultracool brown dwarfs (later than T7 dwarfs and possible Y dwarfs) candidates. The rationale of the NIR follow-up is the following.
- A short (5 to 10 min dithered image, with 30-s individual exposures), J-band exposure confirms the candidate and eliminates any remaining contaminants from variable sources, such as supernovae or detector artefacts. For confirmed candidates, this image also provides good signal-to-noise (from 20 to about 100, depending on the target magnitude) J-band photometry, better than the photometry on the detection image.
- All candidates confirmed with this SOFI J photometry are imaged in H-band to characterise them as ultracool brown dwarfs or earlier T-dwarfs. A 10-20 min dithered sequence, with 20-s individual exposures, usually achieve good signal-to-noise photometry, with an accuracy better than 5%.
- All confirmed candidates with measured J-H<0.1 are potential
ultra-cool brown dwarfs that can be further characterised by acquiring
-band photometry, if enough observing time is available. A 15-30 min dithered sequence, with 15-s exposures typically achieves good signal-to-noise photometry in
.

3 Survey analysis
Ultracool brown dwarfs are extremely red objects 25 to 60 times (3.5 to 4.5 mag) brighter in J-band that in z' band. This means that even if our z' images are about 3 to 4 mag deeper than the detection J-band images, many of our candidates with strong J band detection will not appear at all in the z' images. However, a non detection in z' band is a very strong sign that the candidate is a very red astrophysical source with z'-J>3.5, exactly what we are looking for. The other alternative is that these sources are spurious, such as unrecognised artefacts (remaining detector cross-talk, unflagged hot pixel, optical ghost, etc.) on the J image. Since ultracool brown dwarfs are extremely rare ( our preliminary estimate is
3.1 Image reduction
The WIRCam observations targeted 335 existing MegaCam fields from CFBDS, that have already been observed in i' and z'. The reduction of MegaCam data is described by Delorme et al. (2008b).Images were run through the ``I''iwi Interpretor of the WIRCam Images (``I''iwi - www.cfht.hawaii.edu/Instruments/Imaging/WIRCam) at CFHT, which does non-linearity correction, dark subtraction, flat-fielding, sky subtraction, bad pixel masking, photometric calibration, and rough astrometric calibration. Cross-talk subtraction was also performed on the 06B and 07A data, affected by amplifier to amplifier cross-talk.
Each set of 2 times 9 WIRCam images
covering one z' MegaCam image was then co-aligned, using the z' image
used as the astrometric reference. This astrometric calibration was
performed with Scamp
(Bertin 2006), and the images were stacked
using Swarp (Bertin et al. 2002). This produced 1
square degree WIRCam images aligned with each targeted MegaCam field.
3.2 Image analysis
Since our stacks are only 2 exposures deep, the final frame is the average of both exposures. To easily reject moving solar system objects from our detection catalogues, we also produced a ``minimum'' image of both exposures. This combined image contains the lower of the pixel values of the two exposures, and is effectively devoid of all those objects that moved by more than one FWHM between the exposures. We carried out the analysis using the double-image mode of Sextractor (Bertin & Arnouts 1996), with source detection on the ``minimum" image and photometric measurements on the average image, using PSF fitting. The different analysis steps are described here:- spatially variable PSF models of the images are built with PSFex (Bertin et al., in prep.), using single stars within the image as prototypes;
- the sources on the minimal image are identified using Sextractor. Their astrometry and photometry are derived by PSF fitting. (The latter is discarded from thereon, but is included in the fit.) Since moving objects are at different positions in the two exposures that were stacked to produce the minimal image, they do not appear in the resulting source list;
- a flux-only PSF fitting at the position of the sources identified on the minimal sum stacked image is then carried out on the average stacked image. This step produces the final WIRCam J-band catalogue;
- the MegaCam z'-band catalogue of the corresponding field is then produced using a similar position and flux PSF fitting with Sextractor;
- the J-band and z'-band catalogues are cross-matched so that each source in the J-band catalogue is associated with a z' magnitude. In case there is no z'-band couterpart to a J-band detection, which is then a ``z-dropout'', the source is given the 5 sigma detection magnitude limit of the full z' image as its z' magnitude and the corresponding z'-J colour is then considered as a lower limit of its actual colour.
3.3 Filtering and candidate selection
The selection of ultracool brown dwarfs candidates in our catalogue aims at the greatest possible completeness (i.e. finding most of the ultracool dwarfs actually detectable on the images) while keeping the number of contaminants down to an acceptable level. Contaminants are particularly critical because the most promising candidates are the z-dropouts for which only a J magnitude and a z'-J lower limit on the colour is known. To keep the number of contaminants relatively low, we only selected sources with a signal-to-noise ratio above 10 in the J-band stack.As visible in Fig. 2, brown dwarfs later than T8 populate the z'-J>3.8 colour range. This figure as well as Fig. 4 make use of spectra from http://www.jach.hawaii.edu/ skl/LTdata.html (Geballe et al. 2001; Leggett et al. 2002; Chiu et al. 2006; Knapp et al. 2004; Martín et al. 1999; Burgasser et al. 2003; Golimowski et al. 2004; Kirkpatrick et al. 2000). As described in Delorme et al. (2008b) these colours are synthesised from the spectra using the filters, atmosphere, telescope and detector transmission and sensitivity of the instruments used in CFBDSIR. Given the large colour spread of late T-dwarfs, we set a very conservative colour selection threshold of z'-J>3.5, to select as many ultracool dwarfs as possible. Since the 3.5<z'-J<3.8 colour range is mainly populated by warmer T-dwarfs and is still very far from any densely populated colour locus, as illustrated by Fig. 3, including it in our selection does not increase the number of contaminants significantly.
![]() |
Figure 2: z'-J colour spectral type relation. The green symbols represent synthetic MegaCam/WIRCam colours for known objects with publicly available spectra. The black dashed line is the resulting averaged colour-spectral type relation. Red points show the observational colours and spectral types of CFBDS spectroscopically confirmed T-dwarfs. |
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In addition to this colour selection, the main filtering criterion is
based on the
from PSF fitting, to distinguish point sources
from galaxies and artefacts, following the same method as described in
Delorme et al. (2008b). Since brown dwarfs are point sources, this
morphological rejection of all non-point-source-like objects
effectively removes many non-stellar contaminants.
This automated selection produces an average of 6 candidates per square
degree. Each of these is visually examined to remove remaining
contaminants. In addition to inspecting both the z'-band and the
J-band images, we examine the i'-band image (available from the
CFBDS), to reject some variable contaminants, as well as possible
contamination by atypical broad absorption line quasars, none of
which is known to be very red in both z'-J and i'-z'
(Hall, private
communication; and Hall et al. 2002). Since the 5
detection
limits of the CFBDS i' images (between 24.5 and 25.5) are significantly
deeper than the z' images, broad absorption line quasars with
z'-J>3.5 should be visible on the i' image. We identified one
such object, CFBDSIR232451-045852, with z'-J=4.7 and i'-z'=0.9.
Very high-redshift (z>6), star-forming galaxies and evolved galaxies
with strong Balmer/4000 Å breaks at ,
shown in Fig.
4, are other possible contaminants. While the surface
density of
high-redshift, star-forming galaxies
is unknown (the brightest of these objects discovered so far have
(Ouchi et al. 2009), five magnitudes fainter than our
detection limit), the expected exponential cut-off in the luminosity function
suggests that the probability of
finding any such galaxy in CFBDSIR is extremely low.
Balmer/4000 Å break galaxies at
do enter the fringe
of our selected colour range; however, their i'-J colour is typically
below 5, ensuring they are detected in the i'-band CFBDS images and
are then eliminated from our candidate list.
After this final visual check, we end up with about 1 ultracool brown dwarf candidate per square degree, which has to be confirmed with pointed NIR observations.
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Figure 3: Colour-magnitude diagram of all sources detected with a signal-to-noise greater than 10 in a 1 square-degree stacked WIRCam image from CFBDSIR. Since no other filtering is applied, these sources can be stars, galaxies, or detector artefacts. In this specific instance, none of the red objects is a brown dwarf. |
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Figure 4: Colour-colour diagram of known stars and brown dwarfs from spectral type O (deep-blue dots) to T (dark-red dots). The blue line shows the colours of high-redshift-starburst galaxies, while the red line refers to red Balmer-break galaxies. These lines follow a redshift evolution and specific redshift steps are indicated by numbers near the lines. The colours are synthesised from spectra, and take into account the actual transmission and detector sensitivity of the MegaCam and WIRCam instruments used in CFBDSIR. |
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4 Results
4.1 Photometric confirmation of 3 ultracool brown dwarfs
The 55 candidates found in a 66 square degree subset of the data were followed-up with photometry at the ESO New Technology Telescope, using the SOFI near infrared camera during visitor mode runs 083.C-0797(A) and 082.C-0506(A), in July 2009 and March 2009. These pointed NIR observations confirm six T-dwarfs, of which 3 are robust ultracool brown dwarf candidates. Those are likely to be either very late T-dwarfs (>T8) or cooler Y dwarfs. The brighter 2 of the 3 earlier T candidates are re-identifications of CFBDS-discovered brown dwarfs, spectroscopically confirmed as T3.5 and T5 (Albert et al. 2009).The candidates identified in the remaining 269 square degrees have
not yet been followed-up, and they certainly include mostly contaminants.
Extrapolating the results from the 66 square degree pilot subset
of CFBDSIR to the full survey, we expect to find 15 ultracool
brown dwarfs. Low-resolution NIR spectroscopy of the confirmed
ultracool brown dwarfs will be needed to derive spectral types and
characterise their cool atmosphere physics.
Photometric properties of ultra-red brown dwarf candidates
After the March 2009 J, H, and
follow-up observations,
one candidate stood out as particularly interesting. We then
obtained additional WIRCam J, H, and
photometry for this
object, CFBDSIR J145829+101343 (hereafter CFBDSIR1458). The
resulting magnitudes are presented in Table 2. The SOFI
photometry in this table has additional uncertainty because its
calibration is bootstrapped from a small number of good 2MASS
reference stars in the narrow field of the SOFI NTT images, especially
so in the H and
bands.
CFBDSIR1458 colours are detailed in Table 3 and shown in Fig. 6, and can be summarised as follows:
- very red far-red colours: z'-J=3.94, which Table 3 compares to those of other ultracool brown dwarfs;
- very blue NIR colours, with
[J-H;
-0.46; -0.94], pointing to very strong molecular absorptions in the H and K bands. The
colour of -0.94 approximately translates into a J-K colour of -1.02 (Leggett et al. 2010; Stephens & Leggett 2004).
Table 2:
(1)
CFHT WIRCam Vega photometry and z'AB MegaCam
photometry of CFBDSIR1458. (2)
NTT SOFI Vega photometry.
Table 3: Colours of ultracool brown dwarfs.
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Figure 5: Colour-colour diagram of some of the latest brown dwarfs known, >T8, later than spectrum used for up to date spectral classification scheme together with the 3 CFBDSIR ultracool dwarfs candidates. The regular T-dwarf approximate colour range is highlighted in the upper left corner. Note that given the strong dispersion in colours of T dwarfs, some mid/late T do spread out of this indicative colour range. |
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Figure 6:
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While CFBDSIR2219 and CFBDSIR2215 are queued for NIR spectroscopic characterisation, we already obtained a spectrum of CFBDSIR1458, which we discuss in Sect. 4.2.
Proper motion of CFBDSIR1458
Since the z' MegaCam image and the J WIRCam image are co-aligned
by the CFBDSIR pipeline the proper motion is easily measured from
these 2 images. CFBDSIR1458 moves by +0.58
in RA and
-0.95
in Dec between the July 15, 2004 date of the z'image and April 1, 2007 date of the J image.
The centroiding and image alignment uncertainties are low, at
0.035
,
but the error budget has to include chromatic
refraction and the uncertain parallactic motion. The estimated spectroscopic
distance is
23 pc, with a likely range of 15-30 pc
(Table 4), which translates to a 0.04
maximum error
from the parallax. Due to the very steep spectral energy distribution
in the z' band, chromatic refraction here is of the order of the
measurement error. We also measured the proper motion between the
J-band WIRCam discovery image and the J band NTT follow-up
image, finding +0.32
in RA and -0.80
in Dec between
April 1, 2007 and March 5, 2009. This second measurement has
smaller centroiding and image-alignment uncertainties, 0.03
,
minimal chromatic refraction uncertainties since the two J-band observations
were obtained at similar airmasses, and a small unceretainty from
the parallax because the two observations were coincidentally obtained
at closely matched times of the year. It is therefore our preferred proper
motion measurement, and is consistent with the previous one.
Table 4 presents the resulting yearly motion and kinematic
parameters.
Table 4: Yearly proper motion for CFBDSIR1458.
4.2 Spectroscopic confirmation of a new ultracool brown dwarf
Observations and reductionAfter reduction and analysis of the March 7, data, an ESO Director Discretionary Time observation request was submitted on March 20, 2009 to obtain low-resolution NIR spectroscopy of CFBDSIR1458. This proposal for 4 h of H-band observation, totalling 150 min of exposure on target, was accepted on April 22. The first observations were acquired on May 4, and the last on September 1, on average at high airmass, varying from 1.4 to more than 2.0.
The spectrum was extracted
and calibrated using our own IDL procedures. The reduction proceeded
as follows. The sequence of spectral images
were flat-fielded using an internal flat taken immediately after the
science frames. Since the trace was too faint for its position to be
accurately
determined, its curvature was derived from the reference star spectrum.
The frames were
then pair-subtracted, effectively removing most of the sky, dark
current and hot pixels contributions. Each frame was
collapsed along the spectral dimension to determine the positive and
negative traces positions. We then extracted the spectra using positive
and negative extraction boxes that have identical but opposite
integrals; this minimised the contribution from residual sky line that
would have remained from the pair subtraction. The same operation was
performed on the A0 telluric calibration star. Spectra derived from
individual
image pairs were then median-combined into final target and calibration
star spectra. A telluric absorption spectrum was derived using the
calibration-star spectra. A black body spectrum with a temperature of
10 000 K was assumed for the A0 star and hydrogen-lines were
interpolated
over. The target spectrum was then divided by the derived telluric
transmission
spectrum. A first-order wavelength calibration was obtained from an
argon-lamp spectrum, and fine-tuned by registering bright OH lines
obtained from a sum of the pair of images of interest.
![]() |
Figure 7: H-band spectra of CFBSIR1458 compared with CFBDS0059, one the 2 coolest brown dwarfs known. Both spectra have been median-binned over 6 pixels to match the full ISAAC spectral resolution of 500. |
Open with DEXTER |
![]() |
Figure 8: Zoom on the H-band peak of the spectra of CFBSIR1458 compared with CFBDS0059 and 2MASS0415 (Burgasser et al. 2003), the T8 spectral template. The CFBSIR1458 ISAAC spectrum has been median-binned to a resolution of 170. |
Open with DEXTER |
Table 5: Spectral indices of ultracool brown dwarfs.
Spectroscopic properties
The resulting spectrum (Fig. 7) has a low signal-to-noise
owing to the faintness of the target (
)
and its relatively high
airmass at the time of the observations. We plan to obtain better
signal-to-noise observations, as well as J and K-band
low-resolution spectrum, but we were already able to derive from the present
H-band
spectrum the spectroscopic indices described by
Burgasser et al. (2006) and Delorme et al. (2008a), which quantify the
strength of key molecular absorption bands. As shown in Table
5, this classifies CFBDSIR1458
as an ultracool brown dwarf with spectral type later than T8 and a
temperature in the same range (
500-600 K) as the coolest brown
dwarfs known. Direct comparison of the CFBDSIR1458 H-band spectrum with
other ultracool brown dwarfs (see Figs. 7 and
8) visually confirms that H2O and CH4
absorption in its atmosphere are significantly stronger than they are on
2MASS0415 (Burgasser et al. 2003) the T8 spectral template. This
also strongly suggests that CFBDSIR1458 is indeed a later-than-T8
ultracool brown dwarf. The comparison with even cooler objects is less
clear cut, mainly because of the low signal-to-noise of the spectrum,
as emphasised by the strong variations in the spectral indices for 2
different -but both sufficiently sampled- binning of CFBDSIR1458
spectrum visible in Table 5. However, both the spectrum and
the indices would tend to show that CFBDSIR1458 is not cooler than the
coolest brown dwarfs already known.
This intermediate spectral feature would tentatively put CFBDSIR1458 in the same class as WOLF940B, that was classified as T8.5 by Burningham et al. (2009) who assigned a temperature of 550-600 K to this object. Given the similarities in the H-band indices of both objects, a reasonable estimate would put CFBDSIR1458 in the same temperature range. However, this rough estimate will need to be confirmed by higher signal-to-noise multi-bands spectroscopic observations. In particular, its very blue J-K colour could be due to sub-solar metallicity (Leggett et al. 2010). Additional observations would also enable looking for the NH3 absorption in the CFBDSIR1458 spectrum, such as the probable absorption band identified by Delorme et al. (2008a). IRAC imaging in the 4.5micron channel would also be very valuable since temperature can be reliably derived from the [H-4.5] colour (Leggett et al. 2010).
5 Conclusion
We have described CFBDSIR, a new NIR survey dedicated at finding
ultracool brown dwarfs and using WIRCam camera on the the
CFHT. Complementing existing deep far-red data by
new J-band observations, we select brown dwarfs
candidates on their very red z'-J colour. A robust PSF analysis
allows us to derive reliable colours and to distinguish
point-source-like brown dwarfs from most contaminants. The
candidates are then confirmed by follow-up pointed NIR observations
in J-band and confirmed ultracool brown dwarfs are imaged in
H and
bands. We used these photometric measurements to
identify several new brown dwarfs, including 3 objects likely
as cool as and possibly even cooler than any published brown dwarfs.
We presented CFBSIR1458, the first CFBDSIR ultracool brown dwarf confirmed by spectroscopy. The analysis of its H-band spectra, though at relatively low-signal-to-noise, robustly confirms it as later than T8 spectral type and hints at a temperature in the 550-600 K range, so among the coolest brown dwarfs discovered. When the 335 square degree survey is completed, we expect to discover a sample of 10 to 15 ultracool brown dwarfs, more than doubling the currently known population of later than T8 objects and enabling study of them as a population rather than extreme individual objects. This will put strong constraints on cool stellar and planetary atmosphere, and with additional mid-infrared follow-up, will help to define the selection criteria for the upcoming WISE survey.
AcknowledgementsThanks go to the queue observers at CFHT who obtained data for this paper. This research has made use of the VizieR catalogue access tool, of SIMBAD database and of Aladin, operated at CDS, Strasbourg. This research has benefitted from the M, L, and T-dwarf compendium housed at DwarfArchives.org and maintained by Chris Gelino, Davy Kirkpatrick, and Adam Burgasser. Financial support from the ``Programme National de Physique Stellaire'' (PNPS) of CNRS/INSU, France, is gratefully acknowledged.
References
- Allard, F., Allard, N. F., Homeier, D., et al. 2007, A&A, 474, L21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Albert, L., Artigau, É., Delorme, P., et al. 2009, AIP Conf. Proc., 1094, 485 [NASA ADS] [CrossRef] [Google Scholar]
- Bertin, E. 2006, in Astronomical Data Analysis Software and Systems XV, ed. C. Gabriel, C. Arviset, D. Ponz, & S. Enrique, ASP Conf. Ser., 351, 112 [Google Scholar]
- Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bertin, E., Mellier, Y., Radovich, M., et al. 2002, in Astronomical Data Analysis Software and Systems XI, ed. D. A. Bohlender, D. Durand, & T. H. Handley, ASP Conf. Ser., 281, 228 [Google Scholar]
- Boulade, O., Charlot, X., Abbon, P., et al. 2003, in Instrument Design and Performance for Optical/Infrared Ground-based Telescopes, ed. M. Iye, & A. F. M. Moorwood, Proc. SPIE, 4841, 72 [Google Scholar]
- Burgasser, A. J., Kirkpatrick, J. D., Brown, M. E., et al. 2002, ApJ, 564, 421 [NASA ADS] [CrossRef] [Google Scholar]
- Burgasser, A. J., Kirkpatrick, J. D., Burrows, A., et al. 2003, ApJ, 592, 1186 [NASA ADS] [CrossRef] [Google Scholar]
- Burgasser, A. J., Geballe, T. R., Leggett, S. K., Kirkpatrick, J. D., & Golimowski, D. A. 2006, ApJ, 637, 1067 [NASA ADS] [CrossRef] [Google Scholar]
- Burgasser, A. J., Bloom, J., Cruz, K., et al. 2009, in Astronomy, AGB Stars and Related Phenomenastro2010: The Astronomy and Astrophysics Decadal Survey, 2010, 33 [Google Scholar]
- Burningham, B., Pinfield, D. J., Leggett, S. K., et al. 2008, MNRAS, 391, 320 [NASA ADS] [CrossRef] [Google Scholar]
- Burningham, B., Pinfield, D. J., Leggett, S. K., et al. 2009, MNRAS, 395, 1237 [NASA ADS] [CrossRef] [Google Scholar]
- Burningham, B., Leggett, S. K., Lucas, P. W., et al. 2010, MNRAS, 400 [Google Scholar]
- Chiu, K., Fan, X., Leggett, S. K., et al. 2006, AJ, 131, 2722 [NASA ADS] [CrossRef] [Google Scholar]
- Cushing, M. C., Roellig, T. L., Marley, M. S., et al. 2006, ApJ, 648, 614 [NASA ADS] [CrossRef] [Google Scholar]
- Delorme, P., Delfosse, X., Albert, L., et al. 2008a, A&A, 482, 961 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Delorme, P., Willott, C. J., Forveille, T., et al. 2008b, A&A, 484, 469 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dupuy, T. J., Liu, M. C., & Ireland, M. J. 2009, [arXiv:0912.0738] [Google Scholar]
- Epchtein, N., de Batz, B., Capoani, L., et al. 1997, The Messenger, 87, 27 [NASA ADS] [Google Scholar]
- Geballe, T. R., Saumon, D., Leggett, S. K., et al. 2001, ApJ, 556, 373 [NASA ADS] [CrossRef] [Google Scholar]
- Golimowski, D. A., Leggett, S. K., Marley, M. S., et al. 2004, AJ, 127, 3516 [NASA ADS] [CrossRef] [Google Scholar]
- Hall, P. B., Anderson, S. F., Strauss, M. A., et al. 2002, ApJS, 141, 267 [NASA ADS] [CrossRef] [Google Scholar]
- Kirkpatrick, J. D., Reid, I. N., Liebert, J., et al. 1999, ApJ, 519, 802 [NASA ADS] [CrossRef] [Google Scholar]
- Kirkpatrick, J. D., Reid, I. N., Liebert, J., et al. 2000, AJ, 120, 447 [NASA ADS] [CrossRef] [Google Scholar]
- Knapp, G. R., Loggett, S. K., Fan, X., et al. 2004, AJ, 127, 3553 [NASA ADS] [CrossRef] [Google Scholar]
- Kulkarni, S. R. 1997, Science, 276, 1350 [NASA ADS] [CrossRef] [Google Scholar]
- Lawrence, A., Warren, S. J., Almaini, O., et al. 2007, MNRAS, 379, 1599 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Leggett, S. K., Hauschildt, P. H., Allard, F., Geballe, T. R., & Baron, E. 2002, MNRAS, 332, 78 [NASA ADS] [CrossRef] [Google Scholar]
- Leggett, S. K., Cushing, M. C., Saumon, D., et al. 2009, ApJ, 695, 1517 [NASA ADS] [CrossRef] [Google Scholar]
- Leggett, S. K., Burningham, B., Saumon, D., et al. 2010, ApJ, 710, 1627 [NASA ADS] [CrossRef] [Google Scholar]
- Liu, M. C., Dupuy, T. J., & Ireland, M. J. 2008, ApJ, 689, 436 [NASA ADS] [CrossRef] [Google Scholar]
- Lodieu, N., Pinfield, D. J., Leggett, S. K., et al. 2007, MNRAS, 379, 1423 [NASA ADS] [CrossRef] [Google Scholar]
- Lucas, P. W., Tinney, C. G., Burningham, B., et al. 2010, MNRAS Letters, accepted [arXiv:1004.0317] [Google Scholar]
- Martín, E. L., Delfosse, X., Basri, G., et al. 1999, AJ, 118, 2466 [NASA ADS] [CrossRef] [Google Scholar]
- Metchev, S. A., Kirkpatrick, J. D., Berriman, G. B., & Looper, D. 2008, ApJ, 676, 1281 [NASA ADS] [CrossRef] [Google Scholar]
- Moorwood, A., Cuby, J., & Lidman, C. 1998, The Messenger, 91, 9 [NASA ADS] [Google Scholar]
- Ouchi, M., Ono, Y., Egami, E., et al. 2009, ApJ, 696, 1164 [NASA ADS] [CrossRef] [Google Scholar]
- Puget, P., Stadler, E., Doyon, R., et al. 2004, in SPIE Conf. Ser. 5492, ed. A. F. M. Moorwood, & M. Iye, 978 [Google Scholar]
- Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
- Stephens, D. C., & Leggett, S. K. 2004, PASP, 116, 9 [NASA ADS] [CrossRef] [Google Scholar]
- Tinney, C. G., Burgasser, A. J., Kirkpatrick, J. D., & McElwain, M. W. 2005, AJ, 130, 2326 [NASA ADS] [CrossRef] [Google Scholar]
- Warren, S. J., Mortlock, D. J., Leggett, S. K., et al. 2007, MNRAS, 381, 1400 [NASA ADS] [CrossRef] [Google Scholar]
- Willott, C. J., Delorme, P., Reylé, C., et al. 2010, AJ, 139, 906 [NASA ADS] [CrossRef] [Google Scholar]
- York, D. G., Adelman, J., Anderson, Jr., J. E., et al. 2000, AJ, 120, 1579 [Google Scholar]
Footnotes
- ... CFBDSIR
- Based on observations obtained with WIRCam, a joint project of CFHT, Taiwan, Korea, Canada, France, and the Canada-France-Hawaii Telescope (CFHT) which is operated by the National Research Council (NRC) of Canada, the Institute National des Sciences de l'Univers of the Centre National de la Recherche Scientifique of France, and the University of Hawaii. Based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada-France-Hawaii Telescope (CFHT) which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences de l'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre as part of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. Based on observations made with the ESO New Technology Telescope at the La Silla Observatory under programs ID 082.C-0506(A) and 083.C-0797(A) with SOFI at NTT and ESO VLT Director Discretionary Time program 282.C-5075 with ISAAC.
All Tables
Table 1: Comparison of CFBDS optical surveys with CFBDSIR.
Table 2:
(1)
CFHT WIRCam Vega photometry and z'AB MegaCam
photometry of CFBDSIR1458. (2)
NTT SOFI Vega photometry.
Table 3: Colours of ultracool brown dwarfs.
Table 4: Yearly proper motion for CFBDSIR1458.
Table 5: Spectral indices of ultracool brown dwarfs.
All Figures
![]() |
Figure 1: Map of observed CFBDSIR fields as of March 2010. Dashed lines are +/-20 degrees of galactic latitude. |
Open with DEXTER | |
In the text |
![]() |
Figure 2: z'-J colour spectral type relation. The green symbols represent synthetic MegaCam/WIRCam colours for known objects with publicly available spectra. The black dashed line is the resulting averaged colour-spectral type relation. Red points show the observational colours and spectral types of CFBDS spectroscopically confirmed T-dwarfs. |
Open with DEXTER | |
In the text |
![]() |
Figure 3: Colour-magnitude diagram of all sources detected with a signal-to-noise greater than 10 in a 1 square-degree stacked WIRCam image from CFBDSIR. Since no other filtering is applied, these sources can be stars, galaxies, or detector artefacts. In this specific instance, none of the red objects is a brown dwarf. |
Open with DEXTER | |
In the text |
![]() |
Figure 4: Colour-colour diagram of known stars and brown dwarfs from spectral type O (deep-blue dots) to T (dark-red dots). The blue line shows the colours of high-redshift-starburst galaxies, while the red line refers to red Balmer-break galaxies. These lines follow a redshift evolution and specific redshift steps are indicated by numbers near the lines. The colours are synthesised from spectra, and take into account the actual transmission and detector sensitivity of the MegaCam and WIRCam instruments used in CFBDSIR. |
Open with DEXTER | |
In the text |
![]() |
Figure 5: Colour-colour diagram of some of the latest brown dwarfs known, >T8, later than spectrum used for up to date spectral classification scheme together with the 3 CFBDSIR ultracool dwarfs candidates. The regular T-dwarf approximate colour range is highlighted in the upper left corner. Note that given the strong dispersion in colours of T dwarfs, some mid/late T do spread out of this indicative colour range. |
Open with DEXTER | |
In the text |
![]() |
Figure 6:
|
Open with DEXTER | |
In the text |
![]() |
Figure 7: H-band spectra of CFBSIR1458 compared with CFBDS0059, one the 2 coolest brown dwarfs known. Both spectra have been median-binned over 6 pixels to match the full ISAAC spectral resolution of 500. |
Open with DEXTER | |
In the text |
![]() |
Figure 8: Zoom on the H-band peak of the spectra of CFBSIR1458 compared with CFBDS0059 and 2MASS0415 (Burgasser et al. 2003), the T8 spectral template. The CFBSIR1458 ISAAC spectrum has been median-binned to a resolution of 170. |
Open with DEXTER | |
In the text |
Copyright ESO 2010
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