SHALOS: Statistical Herschel-ATLAS lensed objects selection
Context. The statistical analysis of large sample of strong lensing events can be a powerful tool to extract astrophysical or cosmological valuable information. Their selection using submillimetre galaxies has been demonstrated to be very effective with more than ∼200 proposed candidates in the case...
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ftunivcantabria:oai:repositorio.unican.es:10902/18490 2023-10-09T21:55:59+02:00 SHALOS: Statistical Herschel-ATLAS lensed objects selection González-Nuevo González, Joaquín Suárez Gómez, S. L. Bonavera, Laura Sánchez Lasheras, Fernando Argüeso Gómez, Francisco Toffolatti, Luigi Herranz Muñoz, Diego González Gutiérrez, C. García Riesgo, F. Cos Juez, Francisco Javier de Universidad de Cantabria 2019-07 http://hdl.handle.net/10902/18490 https://doi.org/10.1051/0004-6361/201935475 eng eng EDP Sciences https://doi.org/10.1051/0004-6361/201935475 0004-6361 1432-0746 AYA2015-64508-P http://hdl.handle.net/10902/18490 doi:10.1051/0004-6361/201935475 © ESO 2019 openAccess A&A 627, A31 (2019) Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies info:eu-repo/semantics/article publishedVersion 2019 ftunivcantabria https://doi.org/10.1051/0004-6361/201935475 2023-09-12T23:17:31Z Context. The statistical analysis of large sample of strong lensing events can be a powerful tool to extract astrophysical or cosmological valuable information. Their selection using submillimetre galaxies has been demonstrated to be very effective with more than ∼200 proposed candidates in the case of Herschel-ATLAS data and several tens in the case of the South Pole Telescope. However, the number of confirmed events is still relatively low, i.e. a few tens, mostly because of the lengthy observational validation process on individual events. Aims. In this work we propose a new methodology with a statistical selection approach to increase by a factor of ∼5 the number of such events within the Herschel-ATLAS data set. Although the methodology can be applied to address several selection problems, it has particular benefits in the case of the identification of strongly lensed galaxies: objectivity, minimal initial constrains in the main parameter space, and preservation of statistical properties. Methods. The proposed methodology is based on the Bhattacharyya distance as a measure of the similarity between probability distributions of properties of two different cross-matched galaxies. The particular implementation for the aim of this work is called SHALOS and it combines the information of four different properties of the pair of galaxies: angular separation, luminosity percentile, redshift, and the ratio of the optical to the submillimetre flux densities. Results. The SHALOS method provides a ranked list of strongly lensed galaxies. The number of candidates within ∼340 deg2 of the Herschel-ATLAS surveyed area for the final associated probability, Ptot > 0.7, is 447 and they have an estimated mean amplification factor of 3.12 for a halo with a typical cluster mass. Additional statistical properties of the SHALOS candidates, as the correlation function or the source number counts, are in agreement with previous results indicating the statistical lensing nature of the selected sample JGN acknowledges financial ... Article in Journal/Newspaper South pole Universidad de Cantabria: UCrea South Pole Astronomy & Astrophysics 627 A31 |
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Open Polar |
collection |
Universidad de Cantabria: UCrea |
op_collection_id |
ftunivcantabria |
language |
English |
topic |
Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies |
spellingShingle |
Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies González-Nuevo González, Joaquín Suárez Gómez, S. L. Bonavera, Laura Sánchez Lasheras, Fernando Argüeso Gómez, Francisco Toffolatti, Luigi Herranz Muñoz, Diego González Gutiérrez, C. García Riesgo, F. Cos Juez, Francisco Javier de SHALOS: Statistical Herschel-ATLAS lensed objects selection |
topic_facet |
Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies |
description |
Context. The statistical analysis of large sample of strong lensing events can be a powerful tool to extract astrophysical or cosmological valuable information. Their selection using submillimetre galaxies has been demonstrated to be very effective with more than ∼200 proposed candidates in the case of Herschel-ATLAS data and several tens in the case of the South Pole Telescope. However, the number of confirmed events is still relatively low, i.e. a few tens, mostly because of the lengthy observational validation process on individual events. Aims. In this work we propose a new methodology with a statistical selection approach to increase by a factor of ∼5 the number of such events within the Herschel-ATLAS data set. Although the methodology can be applied to address several selection problems, it has particular benefits in the case of the identification of strongly lensed galaxies: objectivity, minimal initial constrains in the main parameter space, and preservation of statistical properties. Methods. The proposed methodology is based on the Bhattacharyya distance as a measure of the similarity between probability distributions of properties of two different cross-matched galaxies. The particular implementation for the aim of this work is called SHALOS and it combines the information of four different properties of the pair of galaxies: angular separation, luminosity percentile, redshift, and the ratio of the optical to the submillimetre flux densities. Results. The SHALOS method provides a ranked list of strongly lensed galaxies. The number of candidates within ∼340 deg2 of the Herschel-ATLAS surveyed area for the final associated probability, Ptot > 0.7, is 447 and they have an estimated mean amplification factor of 3.12 for a halo with a typical cluster mass. Additional statistical properties of the SHALOS candidates, as the correlation function or the source number counts, are in agreement with previous results indicating the statistical lensing nature of the selected sample JGN acknowledges financial ... |
author2 |
Universidad de Cantabria |
format |
Article in Journal/Newspaper |
author |
González-Nuevo González, Joaquín Suárez Gómez, S. L. Bonavera, Laura Sánchez Lasheras, Fernando Argüeso Gómez, Francisco Toffolatti, Luigi Herranz Muñoz, Diego González Gutiérrez, C. García Riesgo, F. Cos Juez, Francisco Javier de |
author_facet |
González-Nuevo González, Joaquín Suárez Gómez, S. L. Bonavera, Laura Sánchez Lasheras, Fernando Argüeso Gómez, Francisco Toffolatti, Luigi Herranz Muñoz, Diego González Gutiérrez, C. García Riesgo, F. Cos Juez, Francisco Javier de |
author_sort |
González-Nuevo González, Joaquín |
title |
SHALOS: Statistical Herschel-ATLAS lensed objects selection |
title_short |
SHALOS: Statistical Herschel-ATLAS lensed objects selection |
title_full |
SHALOS: Statistical Herschel-ATLAS lensed objects selection |
title_fullStr |
SHALOS: Statistical Herschel-ATLAS lensed objects selection |
title_full_unstemmed |
SHALOS: Statistical Herschel-ATLAS lensed objects selection |
title_sort |
shalos: statistical herschel-atlas lensed objects selection |
publisher |
EDP Sciences |
publishDate |
2019 |
url |
http://hdl.handle.net/10902/18490 https://doi.org/10.1051/0004-6361/201935475 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_source |
A&A 627, A31 (2019) |
op_relation |
https://doi.org/10.1051/0004-6361/201935475 0004-6361 1432-0746 AYA2015-64508-P http://hdl.handle.net/10902/18490 doi:10.1051/0004-6361/201935475 |
op_rights |
© ESO 2019 openAccess |
op_doi |
https://doi.org/10.1051/0004-6361/201935475 |
container_title |
Astronomy & Astrophysics |
container_volume |
627 |
container_start_page |
A31 |
_version_ |
1779320273928978432 |