Abstract Details
| Name: Dhruba Dutta Chowdhury Affiliation: Presidency University Conference ID: ASI2016_535 Title : Estimating the Sunyaev-Zeldovich signal from quasar hosts using a Halo Occupation Distribution based approach Authors and Co-Authors : Dr. Suchetana Chatterjee Assistant Professor Department of Physics Presidency University 86/1, College Street, Kolkata-700073 Abstract Type : Poster Abstract Category : Extragalactic astronomy Abstract : The Sunyaev-Zeldovich (SZ) effect is a spectral distortion in the Cosmic Microwave Background (CMB), caused due to inverse Compton scattering of CMB photons by high energy electron distributions. While the largest SZ distortion in the CMB is caused by the hot electrons present in the intra-cluster medium (ICM), several other small scale astrophysical processes can also contribute to it. Analytic studies have shown that the interstellar electron gas of a quasar host galaxy heated by feedback can cause substantial SZ effect. However, for successful detection of the quasar feedback signal, SZ signal from the ICM of the host dark matter halo in which the quasar resides needs to be properly quantified. In my thesis, I have calculated the possible average SZ signal from the ICM in quasar host halos. For this purpose, I made an analytic model for the ICM gas following the prescription of Komatsu and Seljak (2001). In addition to the above, I used the quasar halo occupation distribution (HOD) model of Chatterjee et al. (2012) with measured HOD parameters from Richardson et al. (2012). My results show that within the statistical errors of the HOD (Richardson et al. 2012), it is not possible to disentangle the quasar feedback signal from the halo gas signal. Recently, Ruan et al. (2015) experimentally obtained an average SZ signal by stacking Planck SZ maps correlated with the location of SDSS quasars. While they claimed to have found signatures of quasar feedback, I find that their signal could be originating from the quasar hosts located at the high mass tail of the HOD whose number has large statistical uncertainties (Richardson et al. 2012). |