Abstract Details

Name: Reju Sam John
Affiliation: PEC, Pondicherry University
Conference ID: ASI2016_468
Title : Manufacturing cosmic rays in the evolving dynamical states of Galaxy clusters
Authors and Co-Authors : Surajit Paul, Dept. of Physics, University of Pune and Associate faculty IUCAA, Pune Luigi Iapichino, Zentrum fur Astronomie der Universitat Wurzburg, Institut fur Theoretische Harish Kumar, Dept. of Physics, PEC, Pondicherry University
Abstract Type : Poster
Abstract Category : General Relativity and Cosmology
Abstract : Galaxy clusters are the biggest object that evolved through continuous accretion and violent mergers. These mergers are the known most energetic event in this universe with an energy release of as high as $10^{64}$ ergs. Such events are thus capable of pumping up the energy of the particles present in the ambient medium through Diffusive Shock Acceleration (DSA) and fills the Intracluster Medium (ICM) with energetic cosmic rays (CRs). But, such acceleration doesn't happen through out the merging process that spans to almost 4 Giga years. Our study reveals that such conversion of thermal to non-thermal CR acceleration takes place at certain dynamical state. For this purpose, using virial theorem as the yard stick, we have divided the whole merging process in to three distinct dynamical states and observed that only state i.e. when the system starts dominating by kinetic energy, Cosmic Ray production suddenly shoots up creating a flashing moment. Such state stays only for a Giga year or so and makes it difficult for observer to pin point such moments. Structure formation being a many body problem, are best studied numerically. For this study we thus modelled the Galaxy cluster formation using ENZO Dark Matter plus hydrodynamic code with millions of particles and additional heating and cooling physics to make it more realistic. In this work, for the first time we also reveal distinct scaling laws for mass and CR luminosity for merging and non-merging systems. We will also discus a unique method to determine the dynamical state of any Galaxy clusters using some easily observable segregation parameters.