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...
Published in: | Astronomy & Astrophysics |
---|---|
Main Authors: | , , , , , , , , , |
Other Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
EDP Sciences
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10261/213757 https://doi.org/10.1051/0004-6361/201935475 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100011033 |
id |
ftcsic:oai:digital.csic.es:10261/213757 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
unknown |
topic |
Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies |
spellingShingle |
Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies González-Nuevo, J. Suárez Gómez, S. L. Bonavera, Laura Sánchez-Lasheras, F. Argüeso, F. Herranz, D. Toffolatti, L. González-Gutiérrez, C. García Riesgo, F. De Cos Juez, F. J. 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 deg of the Herschel-ATLAS surveyed area for the final associated probability, P > 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, LB, FA, LT, and SLSG ... |
author2 |
Ministerio de Economía y Competitividad (España) European Commission Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) |
format |
Article in Journal/Newspaper |
author |
González-Nuevo, J. Suárez Gómez, S. L. Bonavera, Laura Sánchez-Lasheras, F. Argüeso, F. Herranz, D. Toffolatti, L. González-Gutiérrez, C. García Riesgo, F. De Cos Juez, F. J. |
author_facet |
González-Nuevo, J. Suárez Gómez, S. L. Bonavera, Laura Sánchez-Lasheras, F. Argüeso, F. Herranz, D. Toffolatti, L. González-Gutiérrez, C. García Riesgo, F. De Cos Juez, F. J. |
author_sort |
González-Nuevo, J. |
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/10261/213757 https://doi.org/10.1051/0004-6361/201935475 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100011033 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2015-65887-P info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-101948-B-100 PGC2018-101948-B-100/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2015-64508-P info:eu-repo/grantAgreement/EC/H2020/687312 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/AYA2017-89121-P AYA2017-89121-P/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2013-13256 http://dx.doi.org/10.1051/0004-6361/201935475 Sí doi:10.1051/0004-6361/201935475 e-issn: 1432-0746 issn: 0004-6361 Astronomy and Astrophysics 627: A31 (2019) http://hdl.handle.net/10261/213757 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 |
op_rights |
open |
op_doi |
https://doi.org/10.1051/0004-6361/20193547510.13039/50110000332910.13039/50110000078010.13039/501100011033 |
container_title |
Astronomy & Astrophysics |
container_volume |
627 |
container_start_page |
A31 |
_version_ |
1790608269775994880 |
spelling |
ftcsic:oai:digital.csic.es:10261/213757 2024-02-11T10:08:43+01:00 SHALOS: Statistical Herschel -ATLAS lensed objects selection González-Nuevo, J. Suárez Gómez, S. L. Bonavera, Laura Sánchez-Lasheras, F. Argüeso, F. Herranz, D. Toffolatti, L. González-Gutiérrez, C. García Riesgo, F. De Cos Juez, F. J. Ministerio de Economía y Competitividad (España) European Commission Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) 2019-06-27 http://hdl.handle.net/10261/213757 https://doi.org/10.1051/0004-6361/201935475 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100011033 unknown EDP Sciences #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2015-65887-P info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-101948-B-100 PGC2018-101948-B-100/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2015-64508-P info:eu-repo/grantAgreement/EC/H2020/687312 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/AYA2017-89121-P AYA2017-89121-P/AEI/10.13039/501100011033 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2013-13256 http://dx.doi.org/10.1051/0004-6361/201935475 Sí doi:10.1051/0004-6361/201935475 e-issn: 1432-0746 issn: 0004-6361 Astronomy and Astrophysics 627: A31 (2019) http://hdl.handle.net/10261/213757 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 open Gravitational lensing: strong Methods: data analysis Submillimeter: galaxies artículo http://purl.org/coar/resource_type/c_6501 2019 ftcsic https://doi.org/10.1051/0004-6361/20193547510.13039/50110000332910.13039/50110000078010.13039/501100011033 2024-01-16T10:55:03Z 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 deg of the Herschel-ATLAS surveyed area for the final associated probability, P > 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, LB, FA, LT, and SLSG ... Article in Journal/Newspaper South pole Digital.CSIC (Spanish National Research Council) South Pole Astronomy & Astrophysics 627 A31 |