Modelling the selection of galaxy groups with end to end simulations

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Main Authors: Seppi, R., Eckert, D., Finoguenov, A., Shreeram, S ., Tempel, E., Gozaliasl, G., Lorenz, M., Wilms, J., Mamon, G. A., Gastaldello, F., Lovisari, L., O'Sullivan, E., Kolokythas, K., Bourne, M. A., Sun, M., Pillepich, A.
Format: Preprint
Published: 2025
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author Seppi, R.
Eckert, D.
Finoguenov, A.
Shreeram, S .
Tempel, E.
Gozaliasl, G.
Lorenz, M.
Wilms, J.
Mamon, G. A.
Gastaldello, F.
Lovisari, L.
O'Sullivan, E.
Kolokythas, K.
Bourne, M. A.
Sun, M.
Pillepich, A.
author_facet Seppi, R.
Eckert, D.
Finoguenov, A.
Shreeram, S .
Tempel, E.
Gozaliasl, G.
Lorenz, M.
Wilms, J.
Mamon, G. A.
Gastaldello, F.
Lovisari, L.
O'Sullivan, E.
Kolokythas, K.
Bourne, M. A.
Sun, M.
Pillepich, A.
contents Feedback from supernovae and AGN shapes galaxy formation and evolution, yet its impact remains unclear. Galaxy groups offer a crucial probe, as their binding energy is comparable to that available from their central AGN. The XMM-Newton Group AGN Project (X-GAP) is a sample of 49 groups selected in X-ray (ROSAT) and optical (SDSS) bands, providing a benchmark for hydrodynamical simulations. In sight of such a comparison, understanding selection effects is essential. We aim to model the selection function of X-GAP by forward modelling the detection process in the X-ray and optical bands. Using the Uchuu simulation, we build a halo light cone, predict X-ray group properties with a neural network trained on hydro simulations, and assign galaxies matching observed properties. We compare the selected sample to the parent population. Our method provides a sample that matches the observed distribution of X-ray luminosity and velocity dispersion. The 50% completeness is reached at a velocity dispersion of 450 km/s in the X-GAP redshift range. The selection is driven by X-ray flux, with secondary dependence on velocity dispersion and redshift. We estimate a 93% purity level in the X-GAP parent sample. We calibrate the velocity dispersion-halo mass relation. We find a normalisation and slope in agreement with the literature, and an intrinsic scatter of about 0.06 dex. The measured velocity dispersion is accurate within 10% only for rich systems with more than about 20 members, while the velocity dispersion for groups with less than 10 members is biased at more than 20%. The X-ray follow-up refines the optical selection, enhancing purity but reducing completeness. In an SDSS-like setup, velocity dispersion measurement errors dominate over intrinsic scatter. Our selection model will enable the comparisons of thermodynamic properties and gas fractions between X-GAP groups and hydro simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2506_04757
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Modelling the selection of galaxy groups with end to end simulations
Seppi, R.
Eckert, D.
Finoguenov, A.
Shreeram, S .
Tempel, E.
Gozaliasl, G.
Lorenz, M.
Wilms, J.
Mamon, G. A.
Gastaldello, F.
Lovisari, L.
O'Sullivan, E.
Kolokythas, K.
Bourne, M. A.
Sun, M.
Pillepich, A.
Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
High Energy Astrophysical Phenomena
Feedback from supernovae and AGN shapes galaxy formation and evolution, yet its impact remains unclear. Galaxy groups offer a crucial probe, as their binding energy is comparable to that available from their central AGN. The XMM-Newton Group AGN Project (X-GAP) is a sample of 49 groups selected in X-ray (ROSAT) and optical (SDSS) bands, providing a benchmark for hydrodynamical simulations. In sight of such a comparison, understanding selection effects is essential. We aim to model the selection function of X-GAP by forward modelling the detection process in the X-ray and optical bands. Using the Uchuu simulation, we build a halo light cone, predict X-ray group properties with a neural network trained on hydro simulations, and assign galaxies matching observed properties. We compare the selected sample to the parent population. Our method provides a sample that matches the observed distribution of X-ray luminosity and velocity dispersion. The 50% completeness is reached at a velocity dispersion of 450 km/s in the X-GAP redshift range. The selection is driven by X-ray flux, with secondary dependence on velocity dispersion and redshift. We estimate a 93% purity level in the X-GAP parent sample. We calibrate the velocity dispersion-halo mass relation. We find a normalisation and slope in agreement with the literature, and an intrinsic scatter of about 0.06 dex. The measured velocity dispersion is accurate within 10% only for rich systems with more than about 20 members, while the velocity dispersion for groups with less than 10 members is biased at more than 20%. The X-ray follow-up refines the optical selection, enhancing purity but reducing completeness. In an SDSS-like setup, velocity dispersion measurement errors dominate over intrinsic scatter. Our selection model will enable the comparisons of thermodynamic properties and gas fractions between X-GAP groups and hydro simulations.
title Modelling the selection of galaxy groups with end to end simulations
topic Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
High Energy Astrophysical Phenomena
url https://arxiv.org/abs/2506.04757