Identifying merging galaxies in MaNGA using H-? and HI observations

Lee, Danial Ahmad Ariffin and Abidin, Zamri Zainal and Jwel, Abdul Kadir Md and Hassan, Mohd Shaiful Rizal (2022) Identifying merging galaxies in MaNGA using H-? and HI observations. Sains Malaysiana, 51 (7). pp. 2187-2196. ISSN 0126-6039, DOI https://doi.org/10.17576/jsm-2022-5107-20.

Full text not available from this repository.

Abstract

Reliable methods that could recognise and distinguish galactic mergers are important for better understanding of galaxy evolution. This paper explores the feasibility of using observations on H alpha and HI as a method to identify mergers. Sixty sample galaxies were carefully selected from the MaNGA DR15 database and cross-checked with the MaNGA Deep Learning DR15 Morphology to determine the merger signature. The chosen galaxies were divided into two groups, where galaxies with P M E RG < 0.5 were selected as non-merging galaxies and galaxies with P M E RG > 0.8 were selected as mergers. The H alpha emission line plot and H alpha velocity maps were obtained from the MaNGA DR15 database while HI data comes from HI-MaNGA DR1 catalogue for all 60 galaxies. Seventeen of the 30 merging galaxies have more than H alpha blobs (28.3% of the 60 galaxies) compared to 14 of the 30 non-merging galaxies (23.3%). Fourteen of the mergers (23.3% of 60 galaxies) have asymmetric H alpha velocity plots compared to 8 of the non-mergers. Thirteen of the mergers have a well-defined HI peak (21.7%) versus 11 of the non-merging galaxies (18.3%). These parameters were found to be a feasible new method in determining merging galaxies in the universe.

Item Type: Article
Funders: University of Malaya Grant [GPF 081A-2020]
Uncontrolled Keywords: Astrophysics; Galaxies; Merger
Subjects: Q Science > QB Astronomy
Divisions: Faculty of Science
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 Aug 2023 06:45
Last Modified: 28 Aug 2023 06:45
URI: http://eprints.um.edu.my/id/eprint/40960

Actions (login required)

View Item View Item