publication . Preprint . Article . Other literature type . 2019

Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification

Stringer, K. M.; Long, J. P.; Macri, L. M.; Marshall, J. L.; Drlica-Wagner, A.; Martínez-Vázquez, C. E.; Vivas, A. K.; Bechtol, K.; Morganson, E.; Kind, M. Carrasco; ...
Open Access English
  • Published: 14 Jun 2019
Abstract
Many studies have shown that RR Lyrae variable stars (RRL) are powerful stellar tracers of Galactic halo structure and satellite galaxies. The Dark Energy Survey (DES), with its deep and wide coverage (g ~ 23.5 mag) in a single exposure; over 5000 deg$^{2}$) provides a rich opportunity to search for substructures out to the edge of the Milky Way halo. However, the sparse and unevenly sampled multiband light curves from the DES wide-field survey (median 4 observations in each of grizY over the first three years) pose a challenge for traditional techniques used to detect RRL. We present an empirically motivated and computationally efficient template fitting method...
Subjects
free text keywords: Catálogos, Galáxias, Métodos estatísticos, RR Lyrae estrelas, Galaxies, Statistical methods, RR Lyrae stars, Catalogos astronomicos, Aglomerados estelares e associacoes, Estrelas variaveis, Energia escura, catalogs–galaxy, halo–galaxy, structure–methods, statistical–stars, RR Lyrae [variables], variable stars: RR Lyrae [stars], structure [galaxy], halo [galaxy], Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, stars: variables: RR Lyrae, methods: statistical, Galaxy: structure, catalogs, Galaxy: halo, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Funded by
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
NSF| REU Site: Astronomical Research and Instrumentation at Texas A&M University
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1263034
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
148 references, page 1 of 10

Abbott, T. M. C., Abdalla, F. B., Allam, S., et al. 2018, arXiv:1801.03181

Amit, Y. and Geman, D., Neural Computation, 9, 1545

The Astropy Collaboration: Price-Whelan, A. M., Sipo}cz, B. M., et al. 2018, arXiv:1801.02634

Baker, M., & Willman, B. 2015, AJ, 150, 160

Balbinot, E., Yanny, B., Li, T. S., et al. 2016, ApJ, 820, 58

Bechtol, K., Drlica-Wagner, A., Balbinot, E., et al. 2015, ApJ, 807, 50

Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJL, 642, L137

Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJL, 647, L111

Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2007, ApJ, 654, 897

Belokurov, V., Evans, N. W., Bell, E. F., et al. 2007, ApJL, 657, L89

Belokurov, V., Walker, M. G., Evans, N. W., et al. 2008, ApJL, 686, L83

Belokurov, V., Walker, M. G., Evans, N. W., et al. 2009, MNRAS, 397, 1748

Belokurov, V., Walker, M. G., Evans, N. W., et al. 2010, ApJL, 712, L103

Bergemann, M., Sesar, B., Cohen, J. G., et al. 2018, Nature, 555, 334

Bernard, E. J., Ferguson, A. M. N., Schla y, E. F., et al. 2014, MNRAS, 443, L84

148 references, page 1 of 10
Abstract
Many studies have shown that RR Lyrae variable stars (RRL) are powerful stellar tracers of Galactic halo structure and satellite galaxies. The Dark Energy Survey (DES), with its deep and wide coverage (g ~ 23.5 mag) in a single exposure; over 5000 deg$^{2}$) provides a rich opportunity to search for substructures out to the edge of the Milky Way halo. However, the sparse and unevenly sampled multiband light curves from the DES wide-field survey (median 4 observations in each of grizY over the first three years) pose a challenge for traditional techniques used to detect RRL. We present an empirically motivated and computationally efficient template fitting method...
Subjects
free text keywords: Catálogos, Galáxias, Métodos estatísticos, RR Lyrae estrelas, Galaxies, Statistical methods, RR Lyrae stars, Catalogos astronomicos, Aglomerados estelares e associacoes, Estrelas variaveis, Energia escura, catalogs–galaxy, halo–galaxy, structure–methods, statistical–stars, RR Lyrae [variables], variable stars: RR Lyrae [stars], structure [galaxy], halo [galaxy], Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, stars: variables: RR Lyrae, methods: statistical, Galaxy: structure, catalogs, Galaxy: halo, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Funded by
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
NSF| REU Site: Astronomical Research and Instrumentation at Texas A&M University
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1263034
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
148 references, page 1 of 10

Abbott, T. M. C., Abdalla, F. B., Allam, S., et al. 2018, arXiv:1801.03181

Amit, Y. and Geman, D., Neural Computation, 9, 1545

The Astropy Collaboration: Price-Whelan, A. M., Sipo}cz, B. M., et al. 2018, arXiv:1801.02634

Baker, M., & Willman, B. 2015, AJ, 150, 160

Balbinot, E., Yanny, B., Li, T. S., et al. 2016, ApJ, 820, 58

Bechtol, K., Drlica-Wagner, A., Balbinot, E., et al. 2015, ApJ, 807, 50

Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJL, 642, L137

Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJL, 647, L111

Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2007, ApJ, 654, 897

Belokurov, V., Evans, N. W., Bell, E. F., et al. 2007, ApJL, 657, L89

Belokurov, V., Walker, M. G., Evans, N. W., et al. 2008, ApJL, 686, L83

Belokurov, V., Walker, M. G., Evans, N. W., et al. 2009, MNRAS, 397, 1748

Belokurov, V., Walker, M. G., Evans, N. W., et al. 2010, ApJL, 712, L103

Bergemann, M., Sesar, B., Cohen, J. G., et al. 2018, Nature, 555, 334

Bernard, E. J., Ferguson, A. M. N., Schla y, E. F., et al. 2014, MNRAS, 443, L84

148 references, page 1 of 10
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