Abstract Details

Name: Sushant Kumar
Affiliation: Indian Institute of Astrophysics
Conference ID : ASI2023_730
Title : Extreme Variability in a FeLoBAL quasar
Authors : Sushant Kumar, Dr. Vivek M.
Mode of Presentation: Poster
Abstract Category : Extragalactic Astronomy
Abstract : Quasar outflows contribute significantly to the growth of the central supermassive black hole, the evolution of the host galaxy, and the chemical enrichment of the intergalactic medium. Outflows from the accretion disk of AGN contribute significantly to AGN feedback. The quasar outflows are manifested by blue-shifted broad absorption lines(BALs). The variability studies BAL quasars are very useful for understanding the physical conditions and dynamics of the gas in the regions close to the central engine and to evaluate their importance as a source of feedback for galaxy formation and co-evolution. The possible origins of the variabilities in BALs usually discussed in the literature are large variations in the ionizing flux of the quasar or the change in the covering fraction of the absorbing cloud due to the transverse motion of the outflow crossing our line of sight. Time variability studies of quasars showing BAL variability are important for the understanding of the nature and origin of the flow, and the dynamical evolution of the outflow. We studied the extreme continuum and absorption line variability in a FeLoBAL quasar, a rare transition object showing extreme variability in two epoch spectra of SDSS. We found the absorption line variations are driven by continuum changes in this quasar showing extreme absorption line variability. We did the photo-ionization simulations to estimate the column density and ionization parameter. Using these estimates we determined the kinematic parameters of BAL outflow. For our study, we used the archival data from the SDSS as well as the data from the Himalayan Chandra Telescope(HCT) and the Hobby-Eberly Telescope(HET) for studying spectral line variability. For continuum information, CRTS, PTF, ZTF, GAIA, and Pan-STARRs data are used.