Title:	Search for interacting galaxy clusters from SDSS DR-17 employing optimized friends-of-friends algorithm and multimessenger tracers
Authors:	Oak, Tejas Paul, Surajit
Keywords:	methods numerical –surv e ys –galaxies clusters intracluster medium –large-scale structure of Universe
Issue Date:	17-Jan-2024
Publisher:	Oxford University Press on behalf of Royal Astronomical Society
Citation:	Monthly Notices of the Royal Astronomical Society, 2024, Vol.528, p5924-5951
Abstract:	In the theoretical framework of hierarchical structure formation, galaxy clusters evolve through continuous accretion and mergers of substructures. Cosmological simulations have revealed the best picture of the universe as a 3D filamentary network of dark- matter distribution called the cosmic web. Galaxy clusters are found to form at the nodes of this network and are the regions of high merging activity. Such mergers being highly energetic, contain a wealth of information about the dynamical evolution of structures in the Uni verse. Observ ational v alidation of this scenario needs a colossal effort to identify numerous events from all-sk y surv e ys. Therefore, such efforts are sparse in literature and tend to focus on individual systems. In this work, we present an impro v ed search algorithm for identifying interacting galaxy clusters and have successfully produced a comprehensive list of systems from SDSS DR-17. By proposing a set of physically moti v ated criteria, we classified these interacting clusters into two broad classes, ‘merging’ and ‘pre-mer ging/postmer ging’ systems. Interestingly, as predicted by simulations, we found that most cases show cluster interaction along the prominent cosmic filaments of galaxy distribution (i.e. the proxy for dark matter filaments), with the most violent ones at their nodes. Moreo v er, we traced the imprint of interactions through multiband signatures, such as diffuse cluster emissions in radio or X-rays. Although we could not find direct evidence of diffuse emission from connecting filaments and ridges; our catalogue of interacting clusters will ease locating such faintest emissions as data from sensitive telescopes such as eROSITA or SKA , becomes accessible.
Description:	Open Access
URI:	http://hdl.handle.net/2289/8270
Alternative Location:	https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.5924O/abstract https://arxiv.org/abs/2401.08803 https://doi.org/10.1093/mnras/stae200
Copyright:	2024,The Author(s)
Appears in Collections:	Research Papers (A&A)

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