The SAGE-Spec Spitzer Legacy programme: the life-cycle of dust and gas in the Large Magellanic Cloud – Point source classification I
Abstract
We present the classification of 197 point sources observed with the Infrared Spectrograph in the SAGE-Spec Legacy programme on the Spitzer Space Telescope. We introduce a decision-tree method of object classification based on infrared spectral features, continuum and spectral energy distribution shape, bolometric luminosity, cluster membership and variability information, which is used to classify the SAGE-Spec sample of point sources. The decision tree has a broad application to mid-infrared spectroscopic surveys, where supporting photometry and variability information are available. We use these classifications to make deductions about the stellar populations of the Large Magellanic Cloud and the success of photometric classification methods. We find 90 asymptotic giant branch (AGB) stars, 29 young stellar objects, 23 post-AGB objects, 19 red supergiants, eight stellar photospheres, seven background galaxies, seven planetary nebulae, two H_(II) regions and 12 other objects, seven of which remain unclassified.
Additional Information
© 2010 The Authors. Monthly Notices of the Royal Astronomical Society © 2010 RAS. Accepted 2010 September 29. Received 2010 September 29; in original form 2010 August 3. Article first published online: 17 Nov. 2010. RSz acknowledges support from grant N203 511838 (MNiSW). This paper utilizes public domain data obtained by the MACHO project, jointly funded by the US Department of Energy through the University of California, Lawrence Livermore National Laboratory under contract no. W-7405-Eng-48, by the National Science Foundation through the Center for Particle Astrophysics of the University of California under cooperative agreement AST-8809616, and by the Mount Stromlo and Siding Spring Observatory, part of the Australian National University. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This publication makes use of data products from the Optical Gravitational Lensing Experiment OGLE-III online catalogue of variable stars. This research has made use of the VizieR catalogue access tool, CDS, Strasbourg, France. This research has made use of the SIMBAD data base, operated at CDS, Strasbourg, France. This research has made use of NASA's Astrophysics Data System Bibliographic Services.Attached Files
Published - Woods2011p13085Mon_Not_R_Astron_Soc.pdf
Supplemental Material - MNR_17794_sm_Table3.zip
Files
| Name | Size | Download all |
|---|---|---|
|
md5:4bfe33f6ad97f5577c80e48f3224da7b
|
49.4 kB | Preview Download |
|
md5:0fee04cedee8bc18273cf29eb2dfe95a
|
10.7 MB | Preview Download |
Additional details
- Eprint ID
- 23101
- Resolver ID
- CaltechAUTHORS:20110324-134337515
- Department of Energy (DOE)
- W-7405-ENG-48
- NSF
- AST-8809616
- Australian National University
- NASA
- Ministerstwo Nauki i Szkolnictwa Wyższego (MNiSW)
- N203 511838
- Created
-
2011-03-24Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)