A study on the clustering properties of radio-selected sources in the Lockman Hole region at 325 MHz

Author:

Mazumder Aishrila12ORCID,Chakraborty Arnab134,Datta Abhirup1

Affiliation:

1. Department of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore , Indore 453552, India

2. Jodrell Bank Centre for Astrophysics, Department of Physics and Astronomy, The University of Manchester , Manchester M13 9PL, UK

3. Department of Physics, McGill University , 3600 rue University, Montreal, QC H3A 2T8, Canada

4. McGill Space Institute, McGill University , 3550 rue University, Montreal, QC H3A 2A7, Canada

Abstract

ABSTRACT Studying the spatial distribution of extragalactic source populations is vital in understanding the matter distribution in the Universe. It also enables understanding the cosmological evolution of dark matter density fields and the relationship between dark matter and luminous matter. Clustering studies are also required for EoR foreground studies since it affects the relevant angular scales. This paper investigates the angular and spatial clustering properties and the bias parameter of radio-selected sources in the Lockman Hole field at 325 MHz. The data probes sources with fluxes ≳0.3 mJy within a radius of 1.8° around the phase centre of a 6° × 6° mosaic. Based on their radio luminosity, the sources are classified into Active Galactic Nuclei (AGNs) and Star-Forming Galaxies (SFGs). Clustering and bias parameters are determined for the combined populations and the classified sources. The spatial correlation length and the bias of AGNs are greater than SFGs- indicating that more massive haloes host the former. This study is the first reported estimate of the clustering property of sources at 325 MHz, intermediate between the pre-existing studies at high and low-frequency bands. It also probes a well-studied deep field at an unexplored frequency with moderate depth and area. Clustering studies require such observations along different lines of sight, with various fields and data sets across frequencies to avoid cosmic variance and systematics. Thus, an extragalactic deep field has been studied in this work to contribute to this knowledge.

Funder

Indian Institute of Technology Indore

Tata Institute of Fundamental Research

Alfred P. Sloan Foundation

U.S. Department of Energy

Office of Science

University of Utah

Carnegie Mellon University

CFA

Instituto de Astrofísica de Canarias

Johns Hopkins University

University of Tokyo

Lawrence Berkeley National Laboratory

Leibniz-Institut für Astrophysik Potsdam

New Mexico State University

New York University

University of Notre Dame

MCTI

Ohio State University

Pennsylvania State University

Universidad Nacional Autónoma de México

University of Arizona

University of Colorado Boulder

Oxford University

University of Portsmouth

University of Virginia

University of Washington

University of Wisconsin

Vanderbilt University

Yale University

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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