Euclid preparation

Author:

,Giocoli C.,Meneghetti M.ORCID,Rasia E.,Borgani S.ORCID,Despali G.ORCID,Lesci G. F.ORCID,Marulli F.ORCID,Moscardini L.ORCID,Sereno M.ORCID,Cui W.ORCID,Knebe A.ORCID,Yepes G.ORCID,Castro T.ORCID,Corasaniti P.-S.ORCID,Pires S.,Castignani G.ORCID,Schrabback T.ORCID,Pratt G. W.,Le Brun A. M. C.ORCID,Aghanim N.,Amendola L.,Auricchio N.ORCID,Baldi M.ORCID,Bodendorf C.,Bonino D.,Branchini E.ORCID,Brescia M.ORCID,Brinchmann J.ORCID,Camera S.ORCID,Capobianco V.ORCID,Carbone C.,Carretero J.ORCID,Castander F. J.ORCID,Castellano M.ORCID,Cavuoti S.ORCID,Cledassou R.ORCID,Congedo G.ORCID,Conselice C. J.,Conversi L.ORCID,Copin Y.ORCID,Corcione L.ORCID,Courbin F.ORCID,Cropper M.ORCID,Da Silva A.ORCID,Degaudenzi H.ORCID,Dinis J.,Dubath F.ORCID,Dupac X.,Dusini S.ORCID,Farrens S.ORCID,Ferriol S.,Fosalba P.ORCID,Frailis M.ORCID,Franceschi E.ORCID,Fumana M.ORCID,Galeotta S.ORCID,Garilli B.ORCID,Gillis B.ORCID,Grazian A.ORCID,Grupp F.,Haugan S. V. H.ORCID,Holmes W.,Hornstrup A.ORCID,Jahnke K.ORCID,Kümmel M.,Kermiche S.ORCID,Kilbinger M.ORCID,Kunz M.ORCID,Kurki-Suonio H.ORCID,Ligori S.ORCID,Lilje P. B.ORCID,Lloro I.,Maiorano E.ORCID,Mansutti O.ORCID,Marggraf O.ORCID,Markovic K.ORCID,Massey R.ORCID,Maurogordato S.,Mei S.ORCID,Merlin E.ORCID,Meylan G.,Moresco M.ORCID,Munari E.ORCID,Niemi S.-M.,Nightingale J.ORCID,Nutma T.,Padilla C.ORCID,Paltani S.,Pasian F.,Pedersen K.,Pettorino V.,Polenta G.ORCID,Poncet M.,Popa L. A.,Raison F.ORCID,Renzi A.ORCID,Rhodes J.,Riccio G.,Romelli E.ORCID,Roncarelli M.ORCID,Rossetti E.,Saglia R.,Sapone D.ORCID,Sartoris B.,Schneider P.,Secroun A.ORCID,Serrano S.,Sirignano C.ORCID,Sirri G.ORCID,Stanco L.ORCID,Starck J.-L.,Tallada-Crespí P.ORCID,Taylor A. N.,Tereno I.,Toledo-Moreo R.ORCID,Torradeflot F.ORCID,Tutusaus I.ORCID,Valentijn E. A.,Valenziano L.ORCID,Vassallo T.ORCID,Wang Y.ORCID,Weller J.ORCID,Zamorani G.,Zoubian J.,Andreon S.ORCID,Bardelli S.ORCID,Boucaud A.ORCID,Bozzo E.ORCID,Colodro-Conde C.,Di Ferdinando D.,Fabbian G.ORCID,Farina M.,Israel H.ORCID,Keihänen E.ORCID,Lindholm V.,Mauri N.ORCID,Neissner C.,Schirmer M.ORCID,Scottez V.,Tenti M.,Zucca E.ORCID,Akrami Y.ORCID,Baccigalupi C.ORCID,Ballardini M.ORCID,Bernardeau F.,Biviano A.ORCID,Borlaff A. S.ORCID,Burigana C.ORCID,Cabanac R.,Cappi A.,Carvalho C. S.,Casas S.ORCID,Chambers K. C.,Cooray A. R.ORCID,Courtois H. M.ORCID,Davini S.,de la Torre S.,De Lucia G.ORCID,Desprez G.,Dole H.ORCID,Escartin J. A.,Escoffier S.ORCID,Ferrero I.ORCID,Finelli F.,Gabarra L.,Ganga K.ORCID,Garcia-Bellido J.ORCID,George K.ORCID,Giacomini F.ORCID,Gozaliasl G.ORCID,Hildebrandt H.ORCID,Hook I.ORCID,Jimenez Muñoz A.,Joachimi B.ORCID,Kajava J. J. E.ORCID,Kansal V.,Kirkpatrick C. C.,Legrand L.ORCID,Loureiro A.ORCID,Macias-Perez J.,Magliocchetti M.ORCID,Mainetti G.,Maoli R.,Marcin S.,Martinelli M.ORCID,Martinet N.ORCID,Martins C. J. A. P.ORCID,Matthew S.,Maurin L.ORCID,Metcalf R. B.ORCID,Monaco P.ORCID,Morgante G.,Nadathur S.ORCID,Nucita A. A.,Patrizii L.,Peel A.ORCID,Pollack J.,Popa V.,Porciani C.ORCID,Potter D.ORCID,Pöntinen M.ORCID,Reimberg P.ORCID,Sánchez A. G.ORCID,Sakr Z.ORCID,Schneider A.ORCID,Sefusatti E.ORCID,Shulevski A.ORCID,Spurio Mancini A.ORCID,Stadel J.ORCID,Steinwagner J.,Valiviita J.ORCID,Veropalumbo A.ORCID,Viel M.ORCID,Zinchenko I. A.

Abstract

The photometric catalogue of galaxy clusters extracted from ESA Euclid data is expected to be very competitive for cosmological studies. Using dedicated hydrodynamical simulations, we present systematic analyses simulating the expected weak-lensing profiles from clusters in a variety of dynamic states and for a wide range of redshifts. In order to derive cluster masses, we use a model consistent with the implementation within the Euclid Consortium of the dedicated processing function and find that when we jointly model the mass and concentration parameter of the Navarro–Frenk–White halo profile, the weak-lensing masses tend to be biased low by 5–10% on average with respect to the true mass, up to z = 0.5. For a fixed value for the concentration c200 = 3, the mass bias is decreases to lower than 5%, up to z = 0.7, along with the relative uncertainty. Simulating the weak-lensing signal by projecting along the directions of the axes of the moment of inertia tensor ellipsoid, we find that orientation matters: when clusters are oriented along the major axis, the lensing signal is boosted, and the recovered weak-lensing mass is correspondingly overestimated. Typically, the weak-lensing mass bias of individual clusters is modulated by the weak-lensing signal-to-noise ratio, which is related to the redshift evolution of the number of galaxies used for weak-lensing measurements: the negative mass bias tends to be stronger toward higher redshifts. However, when we use a fixed value of the concentration parameter, the redshift evolution trend is reduced. These results provide a solid basis for the weak-lensing mass calibration required by the cosmological application of future cluster surveys from Euclid and Rubin.

Publisher

EDP Sciences

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3