The WaZP galaxy cluster sample of the dark energy survey year 1

We present a new (2+1)D galaxy cluster finder based on photometric redshifts called Wavelet Z Photometric (WaZP) applied to DES first year (Y1A1) data. The results are compared to clusters detected by the South Pole Telescope (SPT) survey and the redMaPPer cluster finder, the latter based on the sam...

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Main Authors: Aguena, Michel, Santiago, Basilio Xavier, Wilkinson, Reese D.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10183/233026
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spelling ftunivfrgs:oai:www.lume.ufrgs.br:10183/233026 2023-07-30T04:06:55+02:00 The WaZP galaxy cluster sample of the dark energy survey year 1 Aguena, Michel Santiago, Basilio Xavier Wilkinson, Reese D. 2021 application/pdf http://hdl.handle.net/10183/233026 eng eng Monthly notices of the royal astronomical society. Oxford. Vol. 502, no. 3 (Apr. 2021), p. 4435–4456 0035-8711 http://hdl.handle.net/10183/233026 001128209 Open Access Análise de dados Aglomerados de galaxias Deslocamento para o vermelho Methods: data analysis Surveys Galaxies: clusters: general Galaxies: distances and redshifts Artigo de periódico Estrangeiro 2021 ftunivfrgs 2023-07-08T23:16:03Z We present a new (2+1)D galaxy cluster finder based on photometric redshifts called Wavelet Z Photometric (WaZP) applied to DES first year (Y1A1) data. The results are compared to clusters detected by the South Pole Telescope (SPT) survey and the redMaPPer cluster finder, the latter based on the same photometric data. WaZP searches for clusters in wavelet-based density maps of galaxies selected in photometric redshift space without any assumption on the cluster galaxy populations. The comparison to other cluster samples was performed with a matching algorithm based on angular proximity and redshift difference of the clusters. It led to the development of a new approach to match two optical cluster samples, following an iterative approach to minimize incorrect associations. The WaZP cluster finder applied to DES Y1A1 galaxy survey (1511.13 deg2 up to mi = 23 mag) led to the detection of 60 547 galaxy clusters with redshifts 0.05 <z< 0.9 and richness Ngals ≥ 5. Considering the overlapping regions and redshift ranges between the DES Y1A1 and SPT cluster surveys, all SZ based SPT clusters are recovered by the WaZP sample. The comparison between WaZP and redMaPPer cluster samples showed an excellent overall agreement for clusters with richness Ngals (λ for redMaPPer) greater than 25 (20), with 95 per cent recovery on both directions. Based on the cluster cross-match, we explore the relative fragmentation of the two cluster samples and investigate the possible signatures of unmatched clusters. Article in Journal/Newspaper South pole Universidade Federal do Rio Grande do Sul (UFRGS): Lume South Pole
institution Open Polar
collection Universidade Federal do Rio Grande do Sul (UFRGS): Lume
op_collection_id ftunivfrgs
language English
topic Análise de dados
Aglomerados de galaxias
Deslocamento para o vermelho
Methods: data analysis
Surveys
Galaxies: clusters: general
Galaxies: distances and redshifts
spellingShingle Análise de dados
Aglomerados de galaxias
Deslocamento para o vermelho
Methods: data analysis
Surveys
Galaxies: clusters: general
Galaxies: distances and redshifts
Aguena, Michel
Santiago, Basilio Xavier
Wilkinson, Reese D.
The WaZP galaxy cluster sample of the dark energy survey year 1
topic_facet Análise de dados
Aglomerados de galaxias
Deslocamento para o vermelho
Methods: data analysis
Surveys
Galaxies: clusters: general
Galaxies: distances and redshifts
description We present a new (2+1)D galaxy cluster finder based on photometric redshifts called Wavelet Z Photometric (WaZP) applied to DES first year (Y1A1) data. The results are compared to clusters detected by the South Pole Telescope (SPT) survey and the redMaPPer cluster finder, the latter based on the same photometric data. WaZP searches for clusters in wavelet-based density maps of galaxies selected in photometric redshift space without any assumption on the cluster galaxy populations. The comparison to other cluster samples was performed with a matching algorithm based on angular proximity and redshift difference of the clusters. It led to the development of a new approach to match two optical cluster samples, following an iterative approach to minimize incorrect associations. The WaZP cluster finder applied to DES Y1A1 galaxy survey (1511.13 deg2 up to mi = 23 mag) led to the detection of 60 547 galaxy clusters with redshifts 0.05 <z< 0.9 and richness Ngals ≥ 5. Considering the overlapping regions and redshift ranges between the DES Y1A1 and SPT cluster surveys, all SZ based SPT clusters are recovered by the WaZP sample. The comparison between WaZP and redMaPPer cluster samples showed an excellent overall agreement for clusters with richness Ngals (λ for redMaPPer) greater than 25 (20), with 95 per cent recovery on both directions. Based on the cluster cross-match, we explore the relative fragmentation of the two cluster samples and investigate the possible signatures of unmatched clusters.
format Article in Journal/Newspaper
author Aguena, Michel
Santiago, Basilio Xavier
Wilkinson, Reese D.
author_facet Aguena, Michel
Santiago, Basilio Xavier
Wilkinson, Reese D.
author_sort Aguena, Michel
title The WaZP galaxy cluster sample of the dark energy survey year 1
title_short The WaZP galaxy cluster sample of the dark energy survey year 1
title_full The WaZP galaxy cluster sample of the dark energy survey year 1
title_fullStr The WaZP galaxy cluster sample of the dark energy survey year 1
title_full_unstemmed The WaZP galaxy cluster sample of the dark energy survey year 1
title_sort wazp galaxy cluster sample of the dark energy survey year 1
publishDate 2021
url http://hdl.handle.net/10183/233026
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_relation Monthly notices of the royal astronomical society. Oxford. Vol. 502, no. 3 (Apr. 2021), p. 4435–4456
0035-8711
http://hdl.handle.net/10183/233026
001128209
op_rights Open Access
_version_ 1772819873515175936