Loading…

Preparing for low surface brightness science with the Vera C. Rubin Observatory: a comparison of observable and simulated intracluster light fractions

ABSTRACT Intracluster light (ICL) provides an important record of the interactions galaxy clusters have undergone. However, we are limited in our understanding by our measurement methods. To address this, we measure the fraction of cluster light that is held in the Brightest Cluster Galaxy and ICL (...

Full description

Saved in:
Bibliographic Details
Published in:Monthly notices of the Royal Astronomical Society 2024-01, Vol.528 (1), p.771-795
Main Authors: Brough, Sarah, Ahad, Syeda Lammim, Bahé, Yannick M, Ellien, Amaël, Gonzalez, Anthony H, Jiménez-Teja, Yolanda, Kimmig, Lucas C, Martin, Garreth, Martínez-Lombilla, Cristina, Montes, Mireia, Pillepich, Annalisa, Ragusa, Rossella, Remus, Rhea-Silvia, Collins, Chris A, Knapen, Johan H, Mihos, J Christopher
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413
cites cdi_FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413
container_end_page 795
container_issue 1
container_start_page 771
container_title Monthly notices of the Royal Astronomical Society
container_volume 528
creator Brough, Sarah
Ahad, Syeda Lammim
Bahé, Yannick M
Ellien, Amaël
Gonzalez, Anthony H
Jiménez-Teja, Yolanda
Kimmig, Lucas C
Martin, Garreth
Martínez-Lombilla, Cristina
Montes, Mireia
Pillepich, Annalisa
Ragusa, Rossella
Remus, Rhea-Silvia
Collins, Chris A
Knapen, Johan H
Mihos, J Christopher
description ABSTRACT Intracluster light (ICL) provides an important record of the interactions galaxy clusters have undergone. However, we are limited in our understanding by our measurement methods. To address this, we measure the fraction of cluster light that is held in the Brightest Cluster Galaxy and ICL (BCG+ICL fraction) and the ICL alone (ICL fraction) using observational methods (surface brightness threshold-SB, non-parametric measure-NP, composite models-CM, and multi-galaxy fitting-MGF) and new approaches under development (wavelet decomposition-WD) applied to mock images of 61 galaxy clusters (14
doi_str_mv 10.1093/mnras/stad3810
format article
fullrecord <record><control><sourceid>oup_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_mnras_stad3810</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/mnras/stad3810</oup_id><sourcerecordid>10.1093/mnras/stad3810</sourcerecordid><originalsourceid>FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413</originalsourceid><addsrcrecordid>eNqFkElLAzEYhoMoWJer5-_qYdoss3qT4gaFiqjXIWsbmUlKkrH0j_h7nVo9e_rg_d4FHoSuCJ4S3LBZ7wKPs5i4YjXBR2hCWFlktCnLYzTBmBVZXRFyis5i_MAY54yWE_T1HPSGB-tWYHyAzm8hDsFwqUEEu1onp2OEKK12o7S1aQ1preFdBw7zKbwMwjpYiqjDJ08-7G6Ag_T9vjJ6B96APzxFp4E7BdH2Q8eTVmBdClx2Q0x6HN5vgRmFZL2LF-jE8C7qy997jt7u717nj9li-fA0v11kkhGWMmqUyWvJBS0aQwk1RFBhhCIGq4rUjaa1ymtKpWK0wpgQUxamzE0pSiWrnLBzND30yuBjDNq0m2B7HnYtwe2eavtDtf2jOgauDwE_bP7zfgPpD396</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Preparing for low surface brightness science with the Vera C. Rubin Observatory: a comparison of observable and simulated intracluster light fractions</title><source>Oxford Open</source><source>EZB Electronic Journals Library</source><creator>Brough, Sarah ; Ahad, Syeda Lammim ; Bahé, Yannick M ; Ellien, Amaël ; Gonzalez, Anthony H ; Jiménez-Teja, Yolanda ; Kimmig, Lucas C ; Martin, Garreth ; Martínez-Lombilla, Cristina ; Montes, Mireia ; Pillepich, Annalisa ; Ragusa, Rossella ; Remus, Rhea-Silvia ; Collins, Chris A ; Knapen, Johan H ; Mihos, J Christopher</creator><creatorcontrib>Brough, Sarah ; Ahad, Syeda Lammim ; Bahé, Yannick M ; Ellien, Amaël ; Gonzalez, Anthony H ; Jiménez-Teja, Yolanda ; Kimmig, Lucas C ; Martin, Garreth ; Martínez-Lombilla, Cristina ; Montes, Mireia ; Pillepich, Annalisa ; Ragusa, Rossella ; Remus, Rhea-Silvia ; Collins, Chris A ; Knapen, Johan H ; Mihos, J Christopher</creatorcontrib><description>ABSTRACT Intracluster light (ICL) provides an important record of the interactions galaxy clusters have undergone. However, we are limited in our understanding by our measurement methods. To address this, we measure the fraction of cluster light that is held in the Brightest Cluster Galaxy and ICL (BCG+ICL fraction) and the ICL alone (ICL fraction) using observational methods (surface brightness threshold-SB, non-parametric measure-NP, composite models-CM, and multi-galaxy fitting-MGF) and new approaches under development (wavelet decomposition-WD) applied to mock images of 61 galaxy clusters (14 &lt;log10M200c/M⊙ &lt; 14.5) from four cosmological hydrodynamical simulations. We compare the BCG+ICL and ICL fractions from observational measures with those using simulated measures (aperture and kinematic separations). The ICL fractions measured by kinematic separation are significantly larger than observed fractions. We find the measurements are related and provide equations to estimate kinematic ICL fractions from observed fractions. The different observational techniques give consistent BCG+ICL and ICL fractions but are biased to underestimating the BCG+ICL and ICL fractions when compared with aperture simulation measures. Comparing the different methods and algorithms, we find that the MGF algorithm is most consistent with the simulations, and CM and SB methods show the smallest projection effects for the BCG+ICL and ICL fractions, respectively. The Ahad (CM), MGF, and WD algorithms are best set up to process larger samples; however, the WD algorithm in its current form is susceptible to projection effects. We recommend that new algorithms using these methods are explored to analyse the massive samples that Rubin Observatory’s Legacy Survey of Space and Time will provide.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stad3810</identifier><language>eng</language><publisher>Oxford University Press</publisher><ispartof>Monthly notices of the Royal Astronomical Society, 2024-01, Vol.528 (1), p.771-795</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Royal Astronomical Society. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413</citedby><cites>FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413</cites><orcidid>0000-0002-0933-8601 ; 0000-0002-9796-1363 ; 0000-0002-3196-5126 ; 0000-0003-1065-9274 ; 0000-0002-6068-514X ; 0000-0001-7847-0393 ; 0000-0001-6336-642X ; 0000-0003-2939-8668</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1604,27924,27925</link.rule.ids></links><search><creatorcontrib>Brough, Sarah</creatorcontrib><creatorcontrib>Ahad, Syeda Lammim</creatorcontrib><creatorcontrib>Bahé, Yannick M</creatorcontrib><creatorcontrib>Ellien, Amaël</creatorcontrib><creatorcontrib>Gonzalez, Anthony H</creatorcontrib><creatorcontrib>Jiménez-Teja, Yolanda</creatorcontrib><creatorcontrib>Kimmig, Lucas C</creatorcontrib><creatorcontrib>Martin, Garreth</creatorcontrib><creatorcontrib>Martínez-Lombilla, Cristina</creatorcontrib><creatorcontrib>Montes, Mireia</creatorcontrib><creatorcontrib>Pillepich, Annalisa</creatorcontrib><creatorcontrib>Ragusa, Rossella</creatorcontrib><creatorcontrib>Remus, Rhea-Silvia</creatorcontrib><creatorcontrib>Collins, Chris A</creatorcontrib><creatorcontrib>Knapen, Johan H</creatorcontrib><creatorcontrib>Mihos, J Christopher</creatorcontrib><title>Preparing for low surface brightness science with the Vera C. Rubin Observatory: a comparison of observable and simulated intracluster light fractions</title><title>Monthly notices of the Royal Astronomical Society</title><description>ABSTRACT Intracluster light (ICL) provides an important record of the interactions galaxy clusters have undergone. However, we are limited in our understanding by our measurement methods. To address this, we measure the fraction of cluster light that is held in the Brightest Cluster Galaxy and ICL (BCG+ICL fraction) and the ICL alone (ICL fraction) using observational methods (surface brightness threshold-SB, non-parametric measure-NP, composite models-CM, and multi-galaxy fitting-MGF) and new approaches under development (wavelet decomposition-WD) applied to mock images of 61 galaxy clusters (14 &lt;log10M200c/M⊙ &lt; 14.5) from four cosmological hydrodynamical simulations. We compare the BCG+ICL and ICL fractions from observational measures with those using simulated measures (aperture and kinematic separations). The ICL fractions measured by kinematic separation are significantly larger than observed fractions. We find the measurements are related and provide equations to estimate kinematic ICL fractions from observed fractions. The different observational techniques give consistent BCG+ICL and ICL fractions but are biased to underestimating the BCG+ICL and ICL fractions when compared with aperture simulation measures. Comparing the different methods and algorithms, we find that the MGF algorithm is most consistent with the simulations, and CM and SB methods show the smallest projection effects for the BCG+ICL and ICL fractions, respectively. The Ahad (CM), MGF, and WD algorithms are best set up to process larger samples; however, the WD algorithm in its current form is susceptible to projection effects. We recommend that new algorithms using these methods are explored to analyse the massive samples that Rubin Observatory’s Legacy Survey of Space and Time will provide.</description><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNqFkElLAzEYhoMoWJer5-_qYdoss3qT4gaFiqjXIWsbmUlKkrH0j_h7nVo9e_rg_d4FHoSuCJ4S3LBZ7wKPs5i4YjXBR2hCWFlktCnLYzTBmBVZXRFyis5i_MAY54yWE_T1HPSGB-tWYHyAzm8hDsFwqUEEu1onp2OEKK12o7S1aQ1preFdBw7zKbwMwjpYiqjDJ08-7G6Ag_T9vjJ6B96APzxFp4E7BdH2Q8eTVmBdClx2Q0x6HN5vgRmFZL2LF-jE8C7qy997jt7u717nj9li-fA0v11kkhGWMmqUyWvJBS0aQwk1RFBhhCIGq4rUjaa1ymtKpWK0wpgQUxamzE0pSiWrnLBzND30yuBjDNq0m2B7HnYtwe2eavtDtf2jOgauDwE_bP7zfgPpD396</recordid><startdate>20240113</startdate><enddate>20240113</enddate><creator>Brough, Sarah</creator><creator>Ahad, Syeda Lammim</creator><creator>Bahé, Yannick M</creator><creator>Ellien, Amaël</creator><creator>Gonzalez, Anthony H</creator><creator>Jiménez-Teja, Yolanda</creator><creator>Kimmig, Lucas C</creator><creator>Martin, Garreth</creator><creator>Martínez-Lombilla, Cristina</creator><creator>Montes, Mireia</creator><creator>Pillepich, Annalisa</creator><creator>Ragusa, Rossella</creator><creator>Remus, Rhea-Silvia</creator><creator>Collins, Chris A</creator><creator>Knapen, Johan H</creator><creator>Mihos, J Christopher</creator><general>Oxford University Press</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-0933-8601</orcidid><orcidid>https://orcid.org/0000-0002-9796-1363</orcidid><orcidid>https://orcid.org/0000-0002-3196-5126</orcidid><orcidid>https://orcid.org/0000-0003-1065-9274</orcidid><orcidid>https://orcid.org/0000-0002-6068-514X</orcidid><orcidid>https://orcid.org/0000-0001-7847-0393</orcidid><orcidid>https://orcid.org/0000-0001-6336-642X</orcidid><orcidid>https://orcid.org/0000-0003-2939-8668</orcidid></search><sort><creationdate>20240113</creationdate><title>Preparing for low surface brightness science with the Vera C. Rubin Observatory: a comparison of observable and simulated intracluster light fractions</title><author>Brough, Sarah ; Ahad, Syeda Lammim ; Bahé, Yannick M ; Ellien, Amaël ; Gonzalez, Anthony H ; Jiménez-Teja, Yolanda ; Kimmig, Lucas C ; Martin, Garreth ; Martínez-Lombilla, Cristina ; Montes, Mireia ; Pillepich, Annalisa ; Ragusa, Rossella ; Remus, Rhea-Silvia ; Collins, Chris A ; Knapen, Johan H ; Mihos, J Christopher</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brough, Sarah</creatorcontrib><creatorcontrib>Ahad, Syeda Lammim</creatorcontrib><creatorcontrib>Bahé, Yannick M</creatorcontrib><creatorcontrib>Ellien, Amaël</creatorcontrib><creatorcontrib>Gonzalez, Anthony H</creatorcontrib><creatorcontrib>Jiménez-Teja, Yolanda</creatorcontrib><creatorcontrib>Kimmig, Lucas C</creatorcontrib><creatorcontrib>Martin, Garreth</creatorcontrib><creatorcontrib>Martínez-Lombilla, Cristina</creatorcontrib><creatorcontrib>Montes, Mireia</creatorcontrib><creatorcontrib>Pillepich, Annalisa</creatorcontrib><creatorcontrib>Ragusa, Rossella</creatorcontrib><creatorcontrib>Remus, Rhea-Silvia</creatorcontrib><creatorcontrib>Collins, Chris A</creatorcontrib><creatorcontrib>Knapen, Johan H</creatorcontrib><creatorcontrib>Mihos, J Christopher</creatorcontrib><collection>Oxford Open</collection><collection>CrossRef</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brough, Sarah</au><au>Ahad, Syeda Lammim</au><au>Bahé, Yannick M</au><au>Ellien, Amaël</au><au>Gonzalez, Anthony H</au><au>Jiménez-Teja, Yolanda</au><au>Kimmig, Lucas C</au><au>Martin, Garreth</au><au>Martínez-Lombilla, Cristina</au><au>Montes, Mireia</au><au>Pillepich, Annalisa</au><au>Ragusa, Rossella</au><au>Remus, Rhea-Silvia</au><au>Collins, Chris A</au><au>Knapen, Johan H</au><au>Mihos, J Christopher</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preparing for low surface brightness science with the Vera C. Rubin Observatory: a comparison of observable and simulated intracluster light fractions</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><date>2024-01-13</date><risdate>2024</risdate><volume>528</volume><issue>1</issue><spage>771</spage><epage>795</epage><pages>771-795</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>ABSTRACT Intracluster light (ICL) provides an important record of the interactions galaxy clusters have undergone. However, we are limited in our understanding by our measurement methods. To address this, we measure the fraction of cluster light that is held in the Brightest Cluster Galaxy and ICL (BCG+ICL fraction) and the ICL alone (ICL fraction) using observational methods (surface brightness threshold-SB, non-parametric measure-NP, composite models-CM, and multi-galaxy fitting-MGF) and new approaches under development (wavelet decomposition-WD) applied to mock images of 61 galaxy clusters (14 &lt;log10M200c/M⊙ &lt; 14.5) from four cosmological hydrodynamical simulations. We compare the BCG+ICL and ICL fractions from observational measures with those using simulated measures (aperture and kinematic separations). The ICL fractions measured by kinematic separation are significantly larger than observed fractions. We find the measurements are related and provide equations to estimate kinematic ICL fractions from observed fractions. The different observational techniques give consistent BCG+ICL and ICL fractions but are biased to underestimating the BCG+ICL and ICL fractions when compared with aperture simulation measures. Comparing the different methods and algorithms, we find that the MGF algorithm is most consistent with the simulations, and CM and SB methods show the smallest projection effects for the BCG+ICL and ICL fractions, respectively. The Ahad (CM), MGF, and WD algorithms are best set up to process larger samples; however, the WD algorithm in its current form is susceptible to projection effects. We recommend that new algorithms using these methods are explored to analyse the massive samples that Rubin Observatory’s Legacy Survey of Space and Time will provide.</abstract><pub>Oxford University Press</pub><doi>10.1093/mnras/stad3810</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0002-0933-8601</orcidid><orcidid>https://orcid.org/0000-0002-9796-1363</orcidid><orcidid>https://orcid.org/0000-0002-3196-5126</orcidid><orcidid>https://orcid.org/0000-0003-1065-9274</orcidid><orcidid>https://orcid.org/0000-0002-6068-514X</orcidid><orcidid>https://orcid.org/0000-0001-7847-0393</orcidid><orcidid>https://orcid.org/0000-0001-6336-642X</orcidid><orcidid>https://orcid.org/0000-0003-2939-8668</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0035-8711
ispartof Monthly notices of the Royal Astronomical Society, 2024-01, Vol.528 (1), p.771-795
issn 0035-8711
1365-2966
language eng
recordid cdi_crossref_primary_10_1093_mnras_stad3810
source Oxford Open; EZB Electronic Journals Library
title Preparing for low surface brightness science with the Vera C. Rubin Observatory: a comparison of observable and simulated intracluster light fractions
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T11%3A57%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-oup_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Preparing%20for%20low%20surface%20brightness%20science%20with%20the%20Vera%20C.%20Rubin%20Observatory:%20a%20comparison%20of%20observable%20and%20simulated%20intracluster%20light%20fractions&rft.jtitle=Monthly%20notices%20of%20the%20Royal%20Astronomical%20Society&rft.au=Brough,%20Sarah&rft.date=2024-01-13&rft.volume=528&rft.issue=1&rft.spage=771&rft.epage=795&rft.pages=771-795&rft.issn=0035-8711&rft.eissn=1365-2966&rft_id=info:doi/10.1093/mnras/stad3810&rft_dat=%3Coup_cross%3E10.1093/mnras/stad3810%3C/oup_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c313t-2fdf48cab259f212f1b2bfbd1f0d7189e28d4822cd3270011f65f64f6b6dc7413%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_oup_id=10.1093/mnras/stad3810&rfr_iscdi=true