https://doi.org/10.1051/epjconf/202225700021
Generalised scalar-tensor theories of gravity and pressure profiles of galaxy clusters
1 SISSA-International School for Advanced Studies, Via Bonomea 265, 34136 Trieste, Italy
2 INFN, Sezione di Trieste, Via Valerio 2, I-34127 Trieste, Italy
3 IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34151 Trieste, Italy
4 Dipartimento di Fisica, Sapienza Universitá di Roma, P.le Aldo Moro 2, 00185, Roma, Italy
5 INAF - Osservatorio Astronomico di Roma, Via Frascati 33, 00040, Monteporzio Catone, Roma, Italy
6 INFN- Sezione di Roma 1, P.le Aldo Moro 2, 00185, Roma, Italy
* e-mail: sandeep.haridasu@sissa.it
Published online: 17 January 2022
In the current proceedings, we summarise the results presented during the mm Universe@NIKA2 conference, taken from our main results in [1]. We test the Degenerate higher-order scalar-tensor(DHOST) theory as a generalised platform for scalar-tensor theory at galaxy cluster scales to predict in such static systems small scale modification to the gravitational potential. DHOST theory is not only a good alternative to ΛCDM for the background evolution but also predicts small-scale modification to the gravitational potential in static systems such as galaxy clusters. With a sample of 12 clusters with accurate Xray Intra Cluster Medium (ICM) data (X-COP project) and Sunyaev-Zel’dovich (SZ) ICM pressure (Planck satellite), we place preliminary constraints on the DHOST parameter (Ξ1) defining the deviation from GR. Moreover, we also collect a few supplementary analyses we have performed during the course: i) Gaussian process reconstruction without parametric assumptions, ii) PSZ-only data analysis not aided by the X-ray data. Finally, we present possible extensions to the current work which may benefit from future high sensitivity and spatial resolution observations.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
