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Exploring the mass and redshift dependence of the cluster pressure profile with stacks on thermal SZ maps
We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependence on the cluster mass and redshift, from measurements of Sunyaev-Zel'dovich Compton-\(y\) profiles. We employ both the \(\textit{Planck}\) 2015 MI...
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creator | Tramonte, Denis Yin-Zhe, Ma Ziang Yan Maturi, Matteo Castignani, Gianluca Sereno, Mauro Bardelli, Sandro Giocoli, Carlo Marulli, Federico Moscardini, Lauro Puddu, Emanuella Radovich, Mario Ludovic Van Waerbeke Wright, Angus H |
description | We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependence on the cluster mass and redshift, from measurements of Sunyaev-Zel'dovich Compton-\(y\) profiles. We employ both the \(\textit{Planck}\) 2015 MILCA and the ACT-DR4 \(y\) maps over the common \(\sim 2,100\,\text{deg}^2\) footprint. We combine existing cluster catalogs based on KiDS, SDSS and DESI observations, for a total of 23,820 clusters spanning the mass range \(10^{14.0}\,\text{M}_{\odot} |
doi_str_mv | 10.48550/arxiv.2302.06266 |
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We employ both the \(\textit{Planck}\) 2015 MILCA and the ACT-DR4 \(y\) maps over the common \(\sim 2,100\,\text{deg}^2\) footprint. We combine existing cluster catalogs based on KiDS, SDSS and DESI observations, for a total of 23,820 clusters spanning the mass range \(10^{14.0}\,\text{M}_{\odot}<M_{500}<10^{15.1}\,\text{M}_{\odot}\) and the redshift range \(0.02<z<0.98\). We split the clusters into three independent bins in mass and redshift; for each combination we detect the stacked SZ cluster signal and extract the mean \(y\) angular profile. The latter is predicted theoretically adopting a halo model framework, and MCMCs are employed to estimate the UPP parameters, the hydrostatic mass bias \(b_{\rm h}\) and possible cluster miscentering effects. We constrain \([P_0,c_{500},\alpha,\beta]\) to \([5.9,2.0,1.8,4.9]\) with \(\textit{Planck}\) and to \([3.8,1.3,1.0,4.4]\) with ACT using the full cluster sample, in agreement with previous findings. We do not find any compelling evidence for a residual mass or redshift dependence, thus expanding the validity of the cluster pressure profile over much larger \(M_{500}\) and \(z\) ranges; this is the first time the model has been tested on such a large (complete and representative) cluster sample. Finally, we obtain loose constraints on the hydrostatic mass bias in the range 0.2-0.3, again in broad agreement with previous works.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2302.06266</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Bias ; Galactic clusters ; Galaxies ; Mathematical models ; Parameters ; Pressure dependence ; Red shift</subject><ispartof>arXiv.org, 2023-02</ispartof><rights>2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2776281925?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>780,784,25753,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Tramonte, Denis</creatorcontrib><creatorcontrib>Yin-Zhe, Ma</creatorcontrib><creatorcontrib>Ziang Yan</creatorcontrib><creatorcontrib>Maturi, Matteo</creatorcontrib><creatorcontrib>Castignani, Gianluca</creatorcontrib><creatorcontrib>Sereno, Mauro</creatorcontrib><creatorcontrib>Bardelli, Sandro</creatorcontrib><creatorcontrib>Giocoli, Carlo</creatorcontrib><creatorcontrib>Marulli, Federico</creatorcontrib><creatorcontrib>Moscardini, Lauro</creatorcontrib><creatorcontrib>Puddu, Emanuella</creatorcontrib><creatorcontrib>Radovich, Mario</creatorcontrib><creatorcontrib>Ludovic Van Waerbeke</creatorcontrib><creatorcontrib>Wright, Angus H</creatorcontrib><title>Exploring the mass and redshift dependence of the cluster pressure profile with stacks on thermal SZ maps</title><title>arXiv.org</title><description>We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependence on the cluster mass and redshift, from measurements of Sunyaev-Zel'dovich Compton-\(y\) profiles. We employ both the \(\textit{Planck}\) 2015 MILCA and the ACT-DR4 \(y\) maps over the common \(\sim 2,100\,\text{deg}^2\) footprint. We combine existing cluster catalogs based on KiDS, SDSS and DESI observations, for a total of 23,820 clusters spanning the mass range \(10^{14.0}\,\text{M}_{\odot}<M_{500}<10^{15.1}\,\text{M}_{\odot}\) and the redshift range \(0.02<z<0.98\). We split the clusters into three independent bins in mass and redshift; for each combination we detect the stacked SZ cluster signal and extract the mean \(y\) angular profile. The latter is predicted theoretically adopting a halo model framework, and MCMCs are employed to estimate the UPP parameters, the hydrostatic mass bias \(b_{\rm h}\) and possible cluster miscentering effects. We constrain \([P_0,c_{500},\alpha,\beta]\) to \([5.9,2.0,1.8,4.9]\) with \(\textit{Planck}\) and to \([3.8,1.3,1.0,4.4]\) with ACT using the full cluster sample, in agreement with previous findings. We do not find any compelling evidence for a residual mass or redshift dependence, thus expanding the validity of the cluster pressure profile over much larger \(M_{500}\) and \(z\) ranges; this is the first time the model has been tested on such a large (complete and representative) cluster sample. Finally, we obtain loose constraints on the hydrostatic mass bias in the range 0.2-0.3, again in broad agreement with previous works.</description><subject>Bias</subject><subject>Galactic clusters</subject><subject>Galaxies</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Pressure dependence</subject><subject>Red shift</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNotj8tOwzAURC0kJKrSD2BniXWKc_24zRJV5SFVYkFXbCrHviYpaRLsBPr5hMJqZjE6M8PYTS6WaqW1uLPxVH8tQQpYCgPGXLAZSJlnKwVwxRYpHYQQYBC0ljNWb05908W6fedDRfxoU-K29TyST1UdBu6pp9ZT64h34ZxxzZgGiryPlNIYaTJdqBvi3_VQ8TRY95F41_5m49E2_PVtwvbpml0G2yRa_Ouc7R42u_VTtn15fF7fbzNbaJNZFIikVPDoi9LrgEFJKG2BgGJarMCRLRxhPp1ySjnjSjIohANAr0s5Z7d_2GnV50hp2B-6MbZT4x4QDazyArT8AeeCWgE</recordid><startdate>20230213</startdate><enddate>20230213</enddate><creator>Tramonte, Denis</creator><creator>Yin-Zhe, Ma</creator><creator>Ziang Yan</creator><creator>Maturi, Matteo</creator><creator>Castignani, Gianluca</creator><creator>Sereno, Mauro</creator><creator>Bardelli, Sandro</creator><creator>Giocoli, Carlo</creator><creator>Marulli, Federico</creator><creator>Moscardini, Lauro</creator><creator>Puddu, Emanuella</creator><creator>Radovich, Mario</creator><creator>Ludovic Van Waerbeke</creator><creator>Wright, Angus H</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20230213</creationdate><title>Exploring the mass and redshift dependence of the cluster pressure profile with stacks on thermal SZ maps</title><author>Tramonte, Denis ; Yin-Zhe, Ma ; Ziang Yan ; Maturi, Matteo ; Castignani, Gianluca ; Sereno, Mauro ; Bardelli, Sandro ; Giocoli, Carlo ; Marulli, Federico ; Moscardini, Lauro ; Puddu, Emanuella ; Radovich, Mario ; Ludovic Van Waerbeke ; Wright, Angus H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a956-a7077e44fd7d9bd5f7f432ba9727055342cea9ce71233c44c6cbe6700c227d5b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bias</topic><topic>Galactic clusters</topic><topic>Galaxies</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Pressure dependence</topic><topic>Red shift</topic><toplevel>online_resources</toplevel><creatorcontrib>Tramonte, Denis</creatorcontrib><creatorcontrib>Yin-Zhe, Ma</creatorcontrib><creatorcontrib>Ziang Yan</creatorcontrib><creatorcontrib>Maturi, Matteo</creatorcontrib><creatorcontrib>Castignani, Gianluca</creatorcontrib><creatorcontrib>Sereno, Mauro</creatorcontrib><creatorcontrib>Bardelli, Sandro</creatorcontrib><creatorcontrib>Giocoli, Carlo</creatorcontrib><creatorcontrib>Marulli, Federico</creatorcontrib><creatorcontrib>Moscardini, Lauro</creatorcontrib><creatorcontrib>Puddu, Emanuella</creatorcontrib><creatorcontrib>Radovich, Mario</creatorcontrib><creatorcontrib>Ludovic Van Waerbeke</creatorcontrib><creatorcontrib>Wright, Angus H</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tramonte, Denis</au><au>Yin-Zhe, Ma</au><au>Ziang Yan</au><au>Maturi, Matteo</au><au>Castignani, Gianluca</au><au>Sereno, Mauro</au><au>Bardelli, Sandro</au><au>Giocoli, Carlo</au><au>Marulli, Federico</au><au>Moscardini, Lauro</au><au>Puddu, Emanuella</au><au>Radovich, Mario</au><au>Ludovic Van Waerbeke</au><au>Wright, Angus H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the mass and redshift dependence of the cluster pressure profile with stacks on thermal SZ maps</atitle><jtitle>arXiv.org</jtitle><date>2023-02-13</date><risdate>2023</risdate><eissn>2331-8422</eissn><abstract>We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependence on the cluster mass and redshift, from measurements of Sunyaev-Zel'dovich Compton-\(y\) profiles. We employ both the \(\textit{Planck}\) 2015 MILCA and the ACT-DR4 \(y\) maps over the common \(\sim 2,100\,\text{deg}^2\) footprint. We combine existing cluster catalogs based on KiDS, SDSS and DESI observations, for a total of 23,820 clusters spanning the mass range \(10^{14.0}\,\text{M}_{\odot}<M_{500}<10^{15.1}\,\text{M}_{\odot}\) and the redshift range \(0.02<z<0.98\). We split the clusters into three independent bins in mass and redshift; for each combination we detect the stacked SZ cluster signal and extract the mean \(y\) angular profile. The latter is predicted theoretically adopting a halo model framework, and MCMCs are employed to estimate the UPP parameters, the hydrostatic mass bias \(b_{\rm h}\) and possible cluster miscentering effects. We constrain \([P_0,c_{500},\alpha,\beta]\) to \([5.9,2.0,1.8,4.9]\) with \(\textit{Planck}\) and to \([3.8,1.3,1.0,4.4]\) with ACT using the full cluster sample, in agreement with previous findings. We do not find any compelling evidence for a residual mass or redshift dependence, thus expanding the validity of the cluster pressure profile over much larger \(M_{500}\) and \(z\) ranges; this is the first time the model has been tested on such a large (complete and representative) cluster sample. Finally, we obtain loose constraints on the hydrostatic mass bias in the range 0.2-0.3, again in broad agreement with previous works.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2302.06266</doi><oa>free_for_read</oa></addata></record> |
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subjects | Bias Galactic clusters Galaxies Mathematical models Parameters Pressure dependence Red shift |
title | Exploring the mass and redshift dependence of the cluster pressure profile with stacks on thermal SZ maps |
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