Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification

B. Yanny; K. M. Stringer; J. P. Long; L. M. Macri; J. L. Marshall; A. Drlica-Wagner; C. E. Martinez-Vázquez; A. K. Vivas; K. Bechtol; E. Morganson; M. Carrasco Kind; A. B. Pace; A. R. Walker; C. Nielsen; T. S. Li; E. Rykoff; D. Burke; A. Carnero Rosell; E. Neilsen; P. Ferguson; S. A. Cantu; J. L. Myron; L. Strigari; A. Farahi; F. Paz-Chinchón; D. Tucker; Z. Lin; D. Hatt; J. F. Maner; L. Plybon; A. H. Riley; E. O. Nadler; T. M.C. Abbott; S. Allam; J. Annis; E. Bertin; D. Brooks; E. Buckley-Geer; J. Carretero; C. E. Cunha; C. B. D'Andrea; L. N.Da Costa; J. De Vicente; S. Desai; P. Doel; T. F. Eifler; B. Flaugher; J. Frieman; J. Garcia-Bellido; E. Gaztanaga; D. Gruen; J. Gschwend; G. Gutierrez; W. G. Hartley; D. L. Hollowood; B. Hoyle; D. J. James; K. Kuehn; N. Kuropatkin; P. Melchior; R. Miquel; R. L.C. Ogando; A. A. Plazas; E. Sanchez; B. Santiago; V. Scarpine; M. Schubnell; S. Serrano; I. Sevilla-Noarbe; M. Smith; R. C. Smith; M. Soares-Santos; F. Sobreira; E. Suchyta; M. E.C. Swanson; G. Tarle; D. Thomas; V. Vikram

doi:10.3847/1538-3881/ab1f46

Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification

B. Yanny, K. M. Stringer, J. P. Long, L. M. Macri, J. L. Marshall, A. Drlica-Wagner, C. E. Martinez-Vázquez, A. K. Vivas, K. Bechtol, E. Morganson, M. Carrasco Kind, A. B. Pace, A. R. Walker, C. Nielsen, T. S. Li, E. Rykoff, D. Burke, A. Carnero Rosell, E. Neilsen, P. FergusonS. A. Cantu, J. L. Myron, L. Strigari, A. Farahi, F. Paz-Chinchón, D. Tucker, Z. Lin, D. Hatt, J. F. Maner, L. Plybon, A. H. Riley, E. O. Nadler, T. M.C. Abbott, S. Allam, J. Annis, E. Bertin, D. Brooks, E. Buckley-Geer, J. Carretero, C. E. Cunha, C. B. D'Andrea, L. N.Da Costa, J. De Vicente, S. Desai, P. Doel, T. F. Eifler, B. Flaugher, J. Frieman, J. Garcia-Bellido, E. Gaztanaga, D. Gruen, J. Gschwend, G. Gutierrez, W. G. Hartley, D. L. Hollowood, B. Hoyle, D. J. James, K. Kuehn, N. Kuropatkin, P. Melchior, R. Miquel, R. L.C. Ogando, A. A. Plazas, E. Sanchez, B. Santiago, V. Scarpine, M. Schubnell, S. Serrano, I. Sevilla-Noarbe, M. Smith, R. C. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E.C. Swanson, G. Tarle, D. Thomas, V. Vikram

Departament de Ciències Morfològiques

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© 2019. The American Astronomical Society. All rights reserved.. 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 deg2) 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 (a median of four 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 to identify these variable stars using three years of DES data. When tested on DES light curves of previously classified objects in SDSS stripe 82, our algorithm recovers 89% of RRL periods to within 1% of their true value with 85% purity and 76% completeness. Using this method, we identify 5783 RRL candidates, ∼28% of which are previously undiscovered. This method will be useful for identifying RRL in other sparse multiband data sets.

Idioma original	Anglès
Número d’article	16
Pàgines (de-a)	16
Revista	Astronomical Journal
Volum	158
DOIs	https://doi.org/10.3847/1538-3881/ab1f46
Estat de la publicació	Publicada - 1 de gen. 2019

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10.3847/1538-3881/ab1f46

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http://www.mendeley.com/research/identification-rr-lyrae-stars-multiband-sparsely-sampled-data-dark-energy-survey-using-template-fitt

Identification of RR Lyrae stars from the DES
Yanny, B. (Creador), Stringer, K. M. (Creador), Long, J. P. (Creador), Macri, L. M. (Creador), Marshall, J. L. (Creador), Drlica-Wagner, A. (Creador), Martinez-Vázquez, C. E. (Col·laborador), Vivas, A. K. (Creador), Bechtol, K. (Creador), Morganson, E. (Creador), Kind, M. C. (Col·laborador), Pace, A. B. (Creador), Walker, A. R. (Creador), Nielsen, C. (Creador), Li, T. S. (Creador), Rykoff, E. (Creador), Burke, D. (Creador), Rosell, A. C. (Col·laborador), Neilsen, E. (Creador), Ferguson, P. (Creador), Cantu, S. A. (Creador), Myron, J. L. (Creador), Strigari, L. (Creador), Farahi, A. (Creador), Paz-Chinchón, F. (Col·laborador), Tucker, D. (Creador), Lin, Z. (Creador), Hatt, D. (Creador), Maner, J. F. (Creador), Plybon, L. (Creador), Riley, A. H. (Creador), Nadler, E. O. (Creador), Abbott, T. M. C. (Col·laborador), Allam, S. (Creador), Annis, J. (Creador), Bertin, E. (Creador), Brooks, D. (Creador), Buckley-Geer, E. (Creador), Carretero, J. (Creador), Cunha, C. E. (Creador), D'Andrea, C. B. (Creador), Costa, L. N. D. (Col·laborador), Vicente, J. D. (Col·laborador), Desai, S. (Creador), Doel, P. (Creador), Eifler, T. F. (Creador), Flaugher, B. (Creador), Frieman, J. (Creador), Garcia-Bellido, J. (Creador), Gaztanaga, E. (Creador), Gruen, D. (Creador), Gschwend, J. (Creador), Gutierrez, G. (Creador), Hartley, W. G. (Creador), Hollowood, D. L. (Creador), Hoyle, B. (Creador), James, D. J. (Creador), Kuehn, K. (Creador), Kuropatkin, N. (Creador), Melchior, P. (Creador), Miquel, R. (Creador), Ogando, R. L. C. (Col·laborador), Plazas, A. A. (Creador), Sanchez, E. (Creador), Santiago, B. (Creador), Scarpine, V. (Creador), Schubnell, M. (Creador), Serrano, S. (Creador), Sevilla-Noarbe, I. (Creador), Smith, M. (Creador), Smith, R. C. (Creador), Soares-Santos, M. (Creador), Sobreira, F. (Creador), Suchyta, E. (Creador), Swanson, M. E. C. (Col·laborador), Tarle, G. (Creador), Thomas, D. (Creador) & Vikram, V. (Creador), Centre de Donnees Strasbourg (CDS), 13 de set. 2019
DOI: 10.26093/cds/vizier.51580016, https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/158/16
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Yanny, B., Stringer, K. M., Long, J. P., Macri, L. M., Marshall, J. L., Drlica-Wagner, A., Martinez-Vázquez, C. E., Vivas, A. K., Bechtol, K., Morganson, E., Kind, M. C., Pace, A. B., Walker, A. R., Nielsen, C., Li, T. S., Rykoff, E., Burke, D., Rosell, A. C., Neilsen, E., ... Vikram, V. (2019). Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification. Astronomical Journal, 158, 16. Article 16. https://doi.org/10.3847/1538-3881/ab1f46

@article{362ff016af8a48a3943b33da65d83eda,

title = "Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification",

abstract = "{\textcopyright} 2019. The American Astronomical Society. All rights reserved.. 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 deg2) 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 (a median of four 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 to identify these variable stars using three years of DES data. When tested on DES light curves of previously classified objects in SDSS stripe 82, our algorithm recovers 89% of RRL periods to within 1% of their true value with 85% purity and 76% completeness. Using this method, we identify 5783 RRL candidates, ∼28% of which are previously undiscovered. This method will be useful for identifying RRL in other sparse multiband data sets.",

keywords = "catalogs, galaxy: halo, galaxy: structure, methods: statistical, stars: variables: RR Lyrae",

author = "B. Yanny and Stringer, {K. M.} and Long, {J. P.} and Macri, {L. M.} and Marshall, {J. L.} and A. Drlica-Wagner and Martinez-V{\'a}zquez, {C. E.} and Vivas, {A. K.} and K. Bechtol and E. Morganson and Kind, {M. Carrasco} and Pace, {A. B.} and Walker, {A. R.} and C. Nielsen and Li, {T. S.} and E. Rykoff and D. Burke and Rosell, {A. Carnero} and E. Neilsen and P. Ferguson and Cantu, {S. A.} and Myron, {J. L.} and L. Strigari and A. Farahi and F. Paz-Chinch{\'o}n and D. Tucker and Z. Lin and D. Hatt and Maner, {J. F.} and L. Plybon and Riley, {A. H.} and Nadler, {E. O.} and Abbott, {T. M.C.} and S. Allam and J. Annis and E. Bertin and D. Brooks and E. Buckley-Geer and J. Carretero and Cunha, {C. E.} and D'Andrea, {C. B.} and Costa, {L. N.Da} and Vicente, {J. De} and S. Desai and P. Doel and Eifler, {T. F.} and B. Flaugher and J. Frieman and J. Garcia-Bellido and E. Gaztanaga and D. Gruen and J. Gschwend and G. Gutierrez and Hartley, {W. G.} and Hollowood, {D. L.} and B. Hoyle and James, {D. J.} and K. Kuehn and N. Kuropatkin and P. Melchior and R. Miquel and Ogando, {R. L.C.} and Plazas, {A. A.} and E. Sanchez and B. Santiago and V. Scarpine and M. Schubnell and S. Serrano and I. Sevilla-Noarbe and M. Smith and Smith, {R. C.} and M. Soares-Santos and F. Sobreira and E. Suchyta and Swanson, {M. E.C.} and G. Tarle and D. Thomas and V. Vikram",

year = "2019",

month = jan,

day = "1",

doi = "10.3847/1538-3881/ab1f46",

language = "English",

volume = "158",

pages = "16",

journal = "Astronomical Journal",

issn = "0004-6256",

}

Yanny, B, Stringer, KM, Long, JP, Macri, LM, Marshall, JL, Drlica-Wagner, A, Martinez-Vázquez, CE, Vivas, AK, Bechtol, K, Morganson, E, Kind, MC, Pace, AB, Walker, AR, Nielsen, C, Li, TS, Rykoff, E, Burke, D, Rosell, AC, Neilsen, E, Ferguson, P, Cantu, SA, Myron, JL, Strigari, L, Farahi, A, Paz-Chinchón, F, Tucker, D, Lin, Z, Hatt, D, Maner, JF, Plybon, L, Riley, AH, Nadler, EO, Abbott, TMC, Allam, S, Annis, J, Bertin, E, Brooks, D, Buckley-Geer, E, Carretero, J, Cunha, CE, D'Andrea, CB, Costa, LND, Vicente, JD, Desai, S, Doel, P, Eifler, TF, Flaugher, B, Frieman, J, Garcia-Bellido, J, Gaztanaga, E, Gruen, D, Gschwend, J, Gutierrez, G, Hartley, WG, Hollowood, DL, Hoyle, B, James, DJ, Kuehn, K, Kuropatkin, N, Melchior, P, Miquel, R, Ogando, RLC, Plazas, AA, Sanchez, E, Santiago, B, Scarpine, V, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Smith, M, Smith, RC, Soares-Santos, M, Sobreira, F, Suchyta, E, Swanson, MEC, Tarle, G, Thomas, D & Vikram, V 2019, 'Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification', Astronomical Journal, vol. 158, 16, pàg. 16. https://doi.org/10.3847/1538-3881/ab1f46

TY - JOUR

T1 - Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification

AU - Yanny, B.

AU - Stringer, K. M.

AU - Long, J. P.

AU - Macri, L. M.

AU - Marshall, J. L.

AU - Drlica-Wagner, A.

AU - Martinez-Vázquez, C. E.

AU - Vivas, A. K.

AU - Bechtol, K.

AU - Morganson, E.

AU - Kind, M. Carrasco

AU - Pace, A. B.

AU - Walker, A. R.

AU - Nielsen, C.

AU - Li, T. S.

AU - Rykoff, E.

AU - Burke, D.

AU - Rosell, A. Carnero

AU - Neilsen, E.

AU - Ferguson, P.

AU - Cantu, S. A.

AU - Myron, J. L.

AU - Strigari, L.

AU - Farahi, A.

AU - Paz-Chinchón, F.

AU - Tucker, D.

AU - Lin, Z.

AU - Hatt, D.

AU - Maner, J. F.

AU - Plybon, L.

AU - Riley, A. H.

AU - Nadler, E. O.

AU - Abbott, T. M.C.

AU - Allam, S.

AU - Annis, J.

AU - Bertin, E.

AU - Brooks, D.

AU - Buckley-Geer, E.

AU - Carretero, J.

AU - Cunha, C. E.

AU - D'Andrea, C. B.

AU - Costa, L. N.Da

AU - Vicente, J. De

AU - Desai, S.

AU - Doel, P.

AU - Eifler, T. F.

AU - Flaugher, B.

AU - Frieman, J.

AU - Garcia-Bellido, J.

AU - Gaztanaga, E.

AU - Gruen, D.

AU - Gschwend, J.

AU - Gutierrez, G.

AU - Hartley, W. G.

AU - Hollowood, D. L.

AU - Hoyle, B.

AU - James, D. J.

AU - Kuehn, K.

AU - Kuropatkin, N.

AU - Melchior, P.

AU - Miquel, R.

AU - Ogando, R. L.C.

AU - Plazas, A. A.

AU - Sanchez, E.

AU - Santiago, B.

AU - Scarpine, V.

AU - Schubnell, M.

AU - Serrano, S.

AU - Sevilla-Noarbe, I.

AU - Smith, M.

AU - Smith, R. C.

AU - Soares-Santos, M.

AU - Sobreira, F.

AU - Suchyta, E.

AU - Swanson, M. E.C.

AU - Tarle, G.

AU - Thomas, D.

AU - Vikram, V.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - © 2019. The American Astronomical Society. All rights reserved.. 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 deg2) 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 (a median of four 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 to identify these variable stars using three years of DES data. When tested on DES light curves of previously classified objects in SDSS stripe 82, our algorithm recovers 89% of RRL periods to within 1% of their true value with 85% purity and 76% completeness. Using this method, we identify 5783 RRL candidates, ∼28% of which are previously undiscovered. This method will be useful for identifying RRL in other sparse multiband data sets.

AB - © 2019. The American Astronomical Society. All rights reserved.. 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 deg2) 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 (a median of four 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 to identify these variable stars using three years of DES data. When tested on DES light curves of previously classified objects in SDSS stripe 82, our algorithm recovers 89% of RRL periods to within 1% of their true value with 85% purity and 76% completeness. Using this method, we identify 5783 RRL candidates, ∼28% of which are previously undiscovered. This method will be useful for identifying RRL in other sparse multiband data sets.

KW - catalogs

KW - galaxy: halo

KW - galaxy: structure

KW - methods: statistical

KW - stars: variables: RR Lyrae

UR - http://www.mendeley.com/research/identification-rr-lyrae-stars-multiband-sparsely-sampled-data-dark-energy-survey-using-template-fitt

U2 - 10.3847/1538-3881/ab1f46

DO - 10.3847/1538-3881/ab1f46

M3 - Article

SN - 0004-6256

VL - 158

SP - 16

JO - Astronomical Journal

JF - Astronomical Journal

M1 - 16

ER -

Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification

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Identification of RR Lyrae stars from the DES

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