Title:	Multiwavelength analysis of low surface brightness galaxies to study possible dark matter signature
Authors:	Bhattacharjee, Pooja Das, Mousumi Das, Subinoy Joarder, Partha S Biswas, Sayan Majumdar, Pratik
Keywords:	software data analysis dark matter
Issue Date:	Mar-2021
Publisher:	Oxford University Press on behalf of the Royal Astronomical Society
Citation:	Monthly Notices of the Royal Astronomical Society, 2021, Vol. 501, p4238
Abstract:	Low surface brightness (LSB) galaxies have very diffuse, low surface density stellar discs that appear faint in optical images. They are very rich in neutral hydrogen (H I) gas, which extends well beyond the stellar discs. Their extended H I rotation curves and stellar discs indicate that they have very massive dark matter (DM) haloes compared to normal bright galaxies. Hence, LSB galaxies may represent valuable laboratories for the indirect detection of DM. In this paper, we search for weakly interacting massive particle annihilation signatures in four LSB galaxies and present an analysis of nearly 9 yr of data from the Fermi Large Area Telescope (Fermi-LAT). Above 500 MeV, no excess emission was detected from the LSB galaxies. We obtain constraints on the DM cross-section for different annihilation channels, for both individual and stacked targets. In addition to this, we use radio data from the Very Large Array radio telescope in order to derive DM constraints, following a multiwavelength approach. The constraints obtained from the four considered LSB galaxies are nearly three orders of magnitude weaker than the predicted limits for the thermal relic abundances and the combined limits achieved from Fermi-LAT observations of dwarf spheroidal galaxies. Finally, we discuss the possibility of detecting emission from LSB galaxies using the upcoming ground-based γ-ray and radio observatories, namely the Cherenkov Telescope Array and the Square Kilometre Array.
Description:	Restricted Access. An open-access version is available at arXiv.org (one of the alternative locations)
URI:	http://hdl.handle.net/2289/7817
ISSN:	0035-8711 1365-2966 (Online)
Alternative Location:	https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.4238B/abstract https://arxiv.org/abs/1911.00369 https://doi.org/10.1093/mnras/staa3877
Copyright:	2021 The Author(s)
Appears in Collections:	Research Papers (A&A)

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