3 research outputs found
Cosmological Simulations of Galaxy Groups and Clusters-III: Constraining Quasar Feedback Models with the Atacama Large Millimeter Array
The thermal Sunyaev-Zeldovich (SZ) effect serves as a direct potential probe
of the energetic outflows from quasars that are responsible for heating the
intergalactic medium. In this work, we use the GIZMO meshless finite mass
hydrodynamic cosmological simulation SIMBA (Dave et al. 2019), which includes
different prescriptions for quasar feedback, to compute the SZ effect arising
from different feedback modes. From these theoretical simulations, we perform
mock observations of the Atacama Large Millimeter Array (ALMA) in four bands
(320 GHz, 135 GHZ, 100 GHz and 42 GHz) to characterize the feasibility of
direct detection of the quasar SZ signal. Our results show that for all the
systems we get an enhancement of the SZ signal, when there is radiative
feedback, while the signal gets suppressed when the jet mode of feedback is
introduced in the simulations. Our mock ALMA maps reveal that, with the current
prescription of jet feedback, the signal goes below the detection threshold of
ALMA. We also find that the signal is higher for high redshift systems, making
it possible for ALMA and cross SZ-X-ray studies to disentangle the varying
modes of quasar feedback and their relative importance in the cosmological
context.Comment: Accepted for publication in Ap
Abstracts of 1st International Conference on Machine Intelligence and System Sciences
This book contains the abstracts of the papers presented at the International Conference on Machine Intelligence and System Sciences (MISS-2021) Organized by the Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea, held on 1–2 November 2021. This conference was intended to enable researchers to build connections between different digital technologies based on Machine Intelligence, Image Processing, and the Internet of Things (IoT).
Conference Title: 1st International Conference on Machine Intelligence and System SciencesConference Acronym: MISS-2021Conference Date: 1–2 November 2021Conference Location: Techno College of Engineering Agartala, Tripura(w), IndiaConference Organizer: Techno College of Engineering, Agartala, Tripura, India & Tongmyong University, Busan, South Korea