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Synthetic simulations of the extragalactic sky seen by eROSITA

Authors :
Johan Comparat
Georg Lamer
Alexis Finoguenov
Florian Käfer
Thomas Dauser
Thomas H. Reiprich
Christian Schmid
J. Ridl
M. E. Ramos-Ceja
Florian Pacaud
Hermann Brunner
T. Brand
Andrea Merloni
N. Clerc
Peter Friedrich
Ingo Kreykenbohm
Jörn Wilms
F. Hofmann
Department of Physics
Institut de recherche en astrophysique et planétologie (IRAP)
Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3)
Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)
Source :
Astronomy and Astrophysics-A&A, Astronomy and Astrophysics-A&A, EDP Sciences, 2018, 617, pp.A92. ⟨10.1051/0004-6361/201732119⟩, Astronomy and Astrophysics-A&A, 2018, 617, pp.A92. ⟨10.1051/0004-6361/201732119⟩
Publication Year :
2018
Publisher :
arXiv, 2018.

Abstract

Studies of galaxy clusters provide stringent constraints on models of structure formation. Provided that selection effects are under control, large X-ray surveys are well suited to derive cosmological parameters, in particular those governing the dark energy equation of state. We forecast the capabilities of the all-sky eROSITA (the extended ROentgen Survey with an Imaging Telescope Array) survey to be achieved by the early 2020s. We bring special attention to modeling the entire chain from photon emission to source detection and cataloguing. The selection function of galaxy clusters for the upcoming eROSITA mission is investigated by means of extensive and dedicated Monte-Carlo simulations. Employing a combination of accurate instrument characterization and of state-of-the-art source detection technique, we determine a cluster detection efficiency based on the cluster fluxes and sizes. Using this eROSITA cluster selection function, we find that eROSITA will detect a total of $\sim 10^5$ clusters in the extra-galactic sky. This number of clusters will allow eROSITA to put stringent constraints on cosmological models. We show that incomplete assumptions on selection effects, such as neglecting the distribution of cluster sizes, induce a bias in the derived value of cosmological parameters. Synthetic simulations of the eROSITA sky capture the essential characteristics impacting the next-generation galaxy cluster surveys and they highlight parameters requiring tight monitoring in order to avoid biases in cosmological analyses.<br />Comment: Accepted in A&A. Image quality degraded for arXiv submission

Details

ISSN :
00046361
Database :
OpenAIRE
Journal :
Astronomy and Astrophysics-A&A, Astronomy and Astrophysics-A&A, EDP Sciences, 2018, 617, pp.A92. ⟨10.1051/0004-6361/201732119⟩, Astronomy and Astrophysics-A&A, 2018, 617, pp.A92. ⟨10.1051/0004-6361/201732119⟩
Accession number :
edsair.doi.dedup.....fc9a67197e7d63d7dda71f3ca86f7873
Full Text :
https://doi.org/10.48550/arxiv.1806.08652