Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps

We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmol...
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Autor*in:	Denis Tramonte [verfasserIn] Yin-Zhe Ma [verfasserIn] Ziang Yan [verfasserIn] Matteo Maturi [verfasserIn] Gianluca Castignani [verfasserIn] Mauro Sereno [verfasserIn] Sandro Bardelli [verfasserIn] Carlo Giocoli [verfasserIn] Federico Marulli [verfasserIn] Lauro Moscardini [verfasserIn] Emanuella Puddu [verfasserIn] Mario Radovich [verfasserIn] Ludovic Van Waerbeke [verfasserIn] Angus H. Wright [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Galaxy clusters Intracluster medium Large-scale structure of the universe

Übergeordnetes Werk:	In: The Astrophysical Journal Supplement Series - IOP Publishing, 2022, 265(2023), 2, p 55
Übergeordnetes Werk:	volume:265 ; year:2023 ; number:2, p 55

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3847/1538-4365/acbcca

Katalog-ID:	DOAJ089097661

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700	0		\|a Ludovic Van Waerbeke \|e verfasserin \|4 aut
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allfields	10.3847/1538-4365/acbcca doi (DE-627)DOAJ089097661 (DE-599)DOAJ5efccd98e7c04e34ae34e1378fb3397e DE-627 ger DE-627 rakwb eng QB460-466 Denis Tramonte verfasserin aut Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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. Galaxy clusters Intracluster medium Large-scale structure of the universe Astrophysics Yin-Zhe Ma verfasserin aut Ziang Yan verfasserin aut Matteo Maturi verfasserin aut Gianluca Castignani verfasserin aut Mauro Sereno verfasserin aut Sandro Bardelli verfasserin aut Carlo Giocoli verfasserin aut Federico Marulli verfasserin aut Lauro Moscardini verfasserin aut Emanuella Puddu verfasserin aut Mario Radovich verfasserin aut Ludovic Van Waerbeke verfasserin aut Angus H. Wright verfasserin aut In The Astrophysical Journal Supplement Series IOP Publishing, 2022 265(2023), 2, p 55 (DE-627)312200196 (DE-600)2006860-8 15384365 nnns volume:265 year:2023 number:2, p 55 https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/article/5efccd98e7c04e34ae34e1378fb3397e kostenfrei https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/toc/0067-0049 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 265 2023 2, p 55
spelling	10.3847/1538-4365/acbcca doi (DE-627)DOAJ089097661 (DE-599)DOAJ5efccd98e7c04e34ae34e1378fb3397e DE-627 ger DE-627 rakwb eng QB460-466 Denis Tramonte verfasserin aut Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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. Galaxy clusters Intracluster medium Large-scale structure of the universe Astrophysics Yin-Zhe Ma verfasserin aut Ziang Yan verfasserin aut Matteo Maturi verfasserin aut Gianluca Castignani verfasserin aut Mauro Sereno verfasserin aut Sandro Bardelli verfasserin aut Carlo Giocoli verfasserin aut Federico Marulli verfasserin aut Lauro Moscardini verfasserin aut Emanuella Puddu verfasserin aut Mario Radovich verfasserin aut Ludovic Van Waerbeke verfasserin aut Angus H. Wright verfasserin aut In The Astrophysical Journal Supplement Series IOP Publishing, 2022 265(2023), 2, p 55 (DE-627)312200196 (DE-600)2006860-8 15384365 nnns volume:265 year:2023 number:2, p 55 https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/article/5efccd98e7c04e34ae34e1378fb3397e kostenfrei https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/toc/0067-0049 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 265 2023 2, p 55
allfields_unstemmed	10.3847/1538-4365/acbcca doi (DE-627)DOAJ089097661 (DE-599)DOAJ5efccd98e7c04e34ae34e1378fb3397e DE-627 ger DE-627 rakwb eng QB460-466 Denis Tramonte verfasserin aut Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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. Galaxy clusters Intracluster medium Large-scale structure of the universe Astrophysics Yin-Zhe Ma verfasserin aut Ziang Yan verfasserin aut Matteo Maturi verfasserin aut Gianluca Castignani verfasserin aut Mauro Sereno verfasserin aut Sandro Bardelli verfasserin aut Carlo Giocoli verfasserin aut Federico Marulli verfasserin aut Lauro Moscardini verfasserin aut Emanuella Puddu verfasserin aut Mario Radovich verfasserin aut Ludovic Van Waerbeke verfasserin aut Angus H. Wright verfasserin aut In The Astrophysical Journal Supplement Series IOP Publishing, 2022 265(2023), 2, p 55 (DE-627)312200196 (DE-600)2006860-8 15384365 nnns volume:265 year:2023 number:2, p 55 https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/article/5efccd98e7c04e34ae34e1378fb3397e kostenfrei https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/toc/0067-0049 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 265 2023 2, p 55
allfieldsGer	10.3847/1538-4365/acbcca doi (DE-627)DOAJ089097661 (DE-599)DOAJ5efccd98e7c04e34ae34e1378fb3397e DE-627 ger DE-627 rakwb eng QB460-466 Denis Tramonte verfasserin aut Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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. Galaxy clusters Intracluster medium Large-scale structure of the universe Astrophysics Yin-Zhe Ma verfasserin aut Ziang Yan verfasserin aut Matteo Maturi verfasserin aut Gianluca Castignani verfasserin aut Mauro Sereno verfasserin aut Sandro Bardelli verfasserin aut Carlo Giocoli verfasserin aut Federico Marulli verfasserin aut Lauro Moscardini verfasserin aut Emanuella Puddu verfasserin aut Mario Radovich verfasserin aut Ludovic Van Waerbeke verfasserin aut Angus H. Wright verfasserin aut In The Astrophysical Journal Supplement Series IOP Publishing, 2022 265(2023), 2, p 55 (DE-627)312200196 (DE-600)2006860-8 15384365 nnns volume:265 year:2023 number:2, p 55 https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/article/5efccd98e7c04e34ae34e1378fb3397e kostenfrei https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/toc/0067-0049 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 265 2023 2, p 55
allfieldsSound	10.3847/1538-4365/acbcca doi (DE-627)DOAJ089097661 (DE-599)DOAJ5efccd98e7c04e34ae34e1378fb3397e DE-627 ger DE-627 rakwb eng QB460-466 Denis Tramonte verfasserin aut Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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. Galaxy clusters Intracluster medium Large-scale structure of the universe Astrophysics Yin-Zhe Ma verfasserin aut Ziang Yan verfasserin aut Matteo Maturi verfasserin aut Gianluca Castignani verfasserin aut Mauro Sereno verfasserin aut Sandro Bardelli verfasserin aut Carlo Giocoli verfasserin aut Federico Marulli verfasserin aut Lauro Moscardini verfasserin aut Emanuella Puddu verfasserin aut Mario Radovich verfasserin aut Ludovic Van Waerbeke verfasserin aut Angus H. Wright verfasserin aut In The Astrophysical Journal Supplement Series IOP Publishing, 2022 265(2023), 2, p 55 (DE-627)312200196 (DE-600)2006860-8 15384365 nnns volume:265 year:2023 number:2, p 55 https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/article/5efccd98e7c04e34ae34e1378fb3397e kostenfrei https://doi.org/10.3847/1538-4365/acbcca kostenfrei https://doaj.org/toc/0067-0049 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2014 GBV_ILN_2088 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 265 2023 2, p 55
language	English
source	In The Astrophysical Journal Supplement Series 265(2023), 2, p 55 volume:265 year:2023 number:2, p 55
sourceStr	In The Astrophysical Journal Supplement Series 265(2023), 2, p 55 volume:265 year:2023 number:2, p 55
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Galaxy clusters Intracluster medium Large-scale structure of the universe Astrophysics
isfreeaccess_bool	true
container_title	The Astrophysical Journal Supplement Series
authorswithroles_txt_mv	Denis Tramonte @@aut@@ Yin-Zhe Ma @@aut@@ Ziang Yan @@aut@@ Matteo Maturi @@aut@@ Gianluca Castignani @@aut@@ Mauro Sereno @@aut@@ Sandro Bardelli @@aut@@ Carlo Giocoli @@aut@@ Federico Marulli @@aut@@ Lauro Moscardini @@aut@@ Emanuella Puddu @@aut@@ Mario Radovich @@aut@@ Ludovic Van Waerbeke @@aut@@ Angus H. Wright @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	312200196
id	DOAJ089097661
language_de	englisch
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callnumber-first	Q - Science
author	Denis Tramonte
spellingShingle	Denis Tramonte misc QB460-466 misc Galaxy clusters misc Intracluster medium misc Large-scale structure of the universe misc Astrophysics Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps
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topic_title	QB460-466 Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps Galaxy clusters Intracluster medium Large-scale structure of the universe
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title	Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps
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title_full	Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps
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title_sort	exploring the mass and redshift dependencies of the cluster pressure profile with stacks on thermal sunyaev–zel’dovich maps
callnumber	QB460-466
title_auth	Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps
abstract	We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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.
abstractGer	We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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_unstemmed	We provide novel constraints on the parameters defining the universal pressure profile (UPP) within clusters of galaxies, and explore their dependencies on cluster mass and redshift, from measurements of Sunyaev–Zel’dovich (SZ) Compton y- profiles. We employ both Planck 2015 MILCA and Atacama Cosmology Telescope (ACT) Data Release 4 y -maps over a common ∼2100 deg ^2 footprint. We combine existing cluster catalogs, based on Kilo Degree Survey, Sloan Digital Sky Survey, and Dark Energy Spectroscopic Instrument Legacy Imaging Surveys observations, for a total of 23,820 clusters, spanning the mass range 10 ^14.0 M _⊙ < M _500 < 10 ^15.1 M _⊙ 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 by adopting a halo model framework, and a Markov Chain Monte Carlo approach is employed to estimate the UPP parameters, the hydrostatic mass bias b _h , and possible cluster miscentering effects. We constrain [ P _0 , c _500 , α , β ] to [5.9, 2.0, 1.8, 4.9] with 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 residual mass or redshift dependencies, thus expanding the validity of the cluster pressure profile over much larger M _500 and z ranges; this is the first time that 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.
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container_issue	2, p 55
title_short	Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps
url	https://doi.org/10.3847/1538-4365/acbcca https://doaj.org/article/5efccd98e7c04e34ae34e1378fb3397e https://doaj.org/toc/0067-0049
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Exploring the Mass and Redshift Dependencies of the Cluster Pressure Profile with Stacks on Thermal Sunyaev–Zel’dovich Maps

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