Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program
High-resolution mapping of the hot gas in galaxy clusters is a key tool for cluster-based cosmological analyses. Taking advantage of the NIKA2 millimeter camera operated at the IRAM 30-m telescope, the NIKA2 SZ Large Program seeks to get a high-resolution follow-up of 38 galaxy clusters covering a w...
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| creator | Hanser, C Adam, R Ade, P Ajeddig, H André, P Artis, E Aussel, H Bartalucci, I Beelen, A Benoît, A Berta, S Bing, L Bourrion, O Calvo, M Catalano, A De Petris, M Désert, F. -X Doyle, S Driessen, E. F. C Ejlali, G Ferragamo, A Gomez, A Goupy, J Katsioli, S Kéruzoré, F Kramer, C Ladjelate, B Lagache, G Leclercq, S Lestrade, J. -F Macías-Pérez, J. F Madden, S. C Maury, A Mauskopf, P Mayet, F Monfardini, A Moyer-Anin, A Muñoz-Echeverría, M Paliwal, A Payerne, C Perotto, L Pisano, G Pointecouteau, E Ponthieu, N Pratt, G. W Revéret, V Rigby, A. J Ritacco, A Romero, C Roussel, H Ruppin, F Schuster, K Sievers, A Tucker, C |
| description | High-resolution mapping of the hot gas in galaxy clusters is a key tool for
cluster-based cosmological analyses. Taking advantage of the NIKA2 millimeter
camera operated at the IRAM 30-m telescope, the NIKA2 SZ Large Program seeks to
get a high-resolution follow-up of 38 galaxy clusters covering a wide mass
range at intermediate to high redshift. The measured SZ fluxes will be
essential to calibrate the SZ scaling relation and the galaxy clusters mean
pressure profile, needed for the cosmological exploitation of SZ surveys. We
present in this study a method to infer a mean pressure profile from cluster
observations. We have designed a pipeline encompassing the map-making and the
thermodynamical properties estimates from maps. We then combine all the
individual fits, propagating the uncertainties on integrated quantities, such
as $R_{500}$ or $P_{500}$, and the intrinsic scatter coming from the deviation
to the standard self-similar model. We validate the proposed method on
realistic LPSZ-like cluster simulations. |
| doi_str_mv | 10.48550/arxiv.2310.07400 |
| format | Article |
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cluster-based cosmological analyses. Taking advantage of the NIKA2 millimeter
camera operated at the IRAM 30-m telescope, the NIKA2 SZ Large Program seeks to
get a high-resolution follow-up of 38 galaxy clusters covering a wide mass
range at intermediate to high redshift. The measured SZ fluxes will be
essential to calibrate the SZ scaling relation and the galaxy clusters mean
pressure profile, needed for the cosmological exploitation of SZ surveys. We
present in this study a method to infer a mean pressure profile from cluster
observations. We have designed a pipeline encompassing the map-making and the
thermodynamical properties estimates from maps. We then combine all the
individual fits, propagating the uncertainties on integrated quantities, such
as $R_{500}$ or $P_{500}$, and the intrinsic scatter coming from the deviation
to the standard self-similar model. We validate the proposed method on
realistic LPSZ-like cluster simulations.</description><identifier>DOI: 10.48550/arxiv.2310.07400</identifier><language>eng</language><subject>Physics - Cosmology and Nongalactic Astrophysics</subject><creationdate>2023-10</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2310.07400$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2310.07400$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Hanser, C</creatorcontrib><creatorcontrib>Adam, R</creatorcontrib><creatorcontrib>Ade, P</creatorcontrib><creatorcontrib>Ajeddig, H</creatorcontrib><creatorcontrib>André, P</creatorcontrib><creatorcontrib>Artis, E</creatorcontrib><creatorcontrib>Aussel, H</creatorcontrib><creatorcontrib>Bartalucci, I</creatorcontrib><creatorcontrib>Beelen, A</creatorcontrib><creatorcontrib>Benoît, A</creatorcontrib><creatorcontrib>Berta, S</creatorcontrib><creatorcontrib>Bing, L</creatorcontrib><creatorcontrib>Bourrion, O</creatorcontrib><creatorcontrib>Calvo, M</creatorcontrib><creatorcontrib>Catalano, A</creatorcontrib><creatorcontrib>De Petris, M</creatorcontrib><creatorcontrib>Désert, F. -X</creatorcontrib><creatorcontrib>Doyle, S</creatorcontrib><creatorcontrib>Driessen, E. F. C</creatorcontrib><creatorcontrib>Ejlali, G</creatorcontrib><creatorcontrib>Ferragamo, A</creatorcontrib><creatorcontrib>Gomez, A</creatorcontrib><creatorcontrib>Goupy, J</creatorcontrib><creatorcontrib>Katsioli, S</creatorcontrib><creatorcontrib>Kéruzoré, F</creatorcontrib><creatorcontrib>Kramer, C</creatorcontrib><creatorcontrib>Ladjelate, B</creatorcontrib><creatorcontrib>Lagache, G</creatorcontrib><creatorcontrib>Leclercq, S</creatorcontrib><creatorcontrib>Lestrade, J. -F</creatorcontrib><creatorcontrib>Macías-Pérez, J. F</creatorcontrib><creatorcontrib>Madden, S. C</creatorcontrib><creatorcontrib>Maury, A</creatorcontrib><creatorcontrib>Mauskopf, P</creatorcontrib><creatorcontrib>Mayet, F</creatorcontrib><creatorcontrib>Monfardini, A</creatorcontrib><creatorcontrib>Moyer-Anin, A</creatorcontrib><creatorcontrib>Muñoz-Echeverría, M</creatorcontrib><creatorcontrib>Paliwal, A</creatorcontrib><creatorcontrib>Payerne, C</creatorcontrib><creatorcontrib>Perotto, L</creatorcontrib><creatorcontrib>Pisano, G</creatorcontrib><creatorcontrib>Pointecouteau, E</creatorcontrib><creatorcontrib>Ponthieu, N</creatorcontrib><creatorcontrib>Pratt, G. W</creatorcontrib><creatorcontrib>Revéret, V</creatorcontrib><creatorcontrib>Rigby, A. J</creatorcontrib><creatorcontrib>Ritacco, A</creatorcontrib><creatorcontrib>Romero, C</creatorcontrib><creatorcontrib>Roussel, H</creatorcontrib><creatorcontrib>Ruppin, F</creatorcontrib><creatorcontrib>Schuster, K</creatorcontrib><creatorcontrib>Sievers, A</creatorcontrib><creatorcontrib>Tucker, C</creatorcontrib><title>Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program</title><description>High-resolution mapping of the hot gas in galaxy clusters is a key tool for
cluster-based cosmological analyses. Taking advantage of the NIKA2 millimeter
camera operated at the IRAM 30-m telescope, the NIKA2 SZ Large Program seeks to
get a high-resolution follow-up of 38 galaxy clusters covering a wide mass
range at intermediate to high redshift. The measured SZ fluxes will be
essential to calibrate the SZ scaling relation and the galaxy clusters mean
pressure profile, needed for the cosmological exploitation of SZ surveys. We
present in this study a method to infer a mean pressure profile from cluster
observations. We have designed a pipeline encompassing the map-making and the
thermodynamical properties estimates from maps. We then combine all the
individual fits, propagating the uncertainties on integrated quantities, such
as $R_{500}$ or $P_{500}$, and the intrinsic scatter coming from the deviation
to the standard self-similar model. We validate the proposed method on
realistic LPSZ-like cluster simulations.</description><subject>Physics - Cosmology and Nongalactic Astrophysics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjs0KgkAUhWfTIqoHaNV9AW1KpbYRRVFEkKs2wyWvOuAfd0bNt8-kfatzOHwcPiHmK-n62yCQS-S3bty11w9y40s5FiosW-TIgE0JYs3GQk5YQMVkTM3UlzLWGQEZq3O0BK226UDfzpfdGh510SE1zpOyqGz0K4UrckJw5zJhzKdiFGNmaPbLiVgcD-H-5AwqquL-lDv1VVKDkvef-AALK0HP</recordid><startdate>20231011</startdate><enddate>20231011</enddate><creator>Hanser, C</creator><creator>Adam, R</creator><creator>Ade, P</creator><creator>Ajeddig, H</creator><creator>André, P</creator><creator>Artis, E</creator><creator>Aussel, H</creator><creator>Bartalucci, I</creator><creator>Beelen, A</creator><creator>Benoît, A</creator><creator>Berta, S</creator><creator>Bing, L</creator><creator>Bourrion, O</creator><creator>Calvo, M</creator><creator>Catalano, A</creator><creator>De Petris, M</creator><creator>Désert, F. -X</creator><creator>Doyle, S</creator><creator>Driessen, E. 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J</creatorcontrib><creatorcontrib>Ritacco, A</creatorcontrib><creatorcontrib>Romero, C</creatorcontrib><creatorcontrib>Roussel, H</creatorcontrib><creatorcontrib>Ruppin, F</creatorcontrib><creatorcontrib>Schuster, K</creatorcontrib><creatorcontrib>Sievers, A</creatorcontrib><creatorcontrib>Tucker, C</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hanser, C</au><au>Adam, R</au><au>Ade, P</au><au>Ajeddig, H</au><au>André, P</au><au>Artis, E</au><au>Aussel, H</au><au>Bartalucci, I</au><au>Beelen, A</au><au>Benoît, A</au><au>Berta, S</au><au>Bing, L</au><au>Bourrion, O</au><au>Calvo, M</au><au>Catalano, A</au><au>De Petris, M</au><au>Désert, F. -X</au><au>Doyle, S</au><au>Driessen, E. F. C</au><au>Ejlali, G</au><au>Ferragamo, A</au><au>Gomez, A</au><au>Goupy, J</au><au>Katsioli, S</au><au>Kéruzoré, F</au><au>Kramer, C</au><au>Ladjelate, B</au><au>Lagache, G</au><au>Leclercq, S</au><au>Lestrade, J. -F</au><au>Macías-Pérez, J. F</au><au>Madden, S. C</au><au>Maury, A</au><au>Mauskopf, P</au><au>Mayet, F</au><au>Monfardini, A</au><au>Moyer-Anin, A</au><au>Muñoz-Echeverría, M</au><au>Paliwal, A</au><au>Payerne, C</au><au>Perotto, L</au><au>Pisano, G</au><au>Pointecouteau, E</au><au>Ponthieu, N</au><au>Pratt, G. W</au><au>Revéret, V</au><au>Rigby, A. J</au><au>Ritacco, A</au><au>Romero, C</au><au>Roussel, H</au><au>Ruppin, F</au><au>Schuster, K</au><au>Sievers, A</au><au>Tucker, C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program</atitle><date>2023-10-11</date><risdate>2023</risdate><abstract>High-resolution mapping of the hot gas in galaxy clusters is a key tool for
cluster-based cosmological analyses. Taking advantage of the NIKA2 millimeter
camera operated at the IRAM 30-m telescope, the NIKA2 SZ Large Program seeks to
get a high-resolution follow-up of 38 galaxy clusters covering a wide mass
range at intermediate to high redshift. The measured SZ fluxes will be
essential to calibrate the SZ scaling relation and the galaxy clusters mean
pressure profile, needed for the cosmological exploitation of SZ surveys. We
present in this study a method to infer a mean pressure profile from cluster
observations. We have designed a pipeline encompassing the map-making and the
thermodynamical properties estimates from maps. We then combine all the
individual fits, propagating the uncertainties on integrated quantities, such
as $R_{500}$ or $P_{500}$, and the intrinsic scatter coming from the deviation
to the standard self-similar model. We validate the proposed method on
realistic LPSZ-like cluster simulations.</abstract><doi>10.48550/arxiv.2310.07400</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Physics - Cosmology and Nongalactic Astrophysics |
| title | Towards the first mean pressure profile estimate with the NIKA2 Sunyaev-Zeldovich Large Program |
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