Identifying merging galaxies in MaNGA using H-α and Hi observations

Danial Ahmad Ariffin Lee, and Zamri Zainal Abidin, and Abdul Kadir Md Jwel, and Mohd Shaiful Rizal Hassan, (2022) Identifying merging galaxies in MaNGA using H-α and Hi observations. Sains Malaysiana, 51 (7). pp. 2187-2196. ISSN 0126-6039


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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 Hα 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 Hα emission line plot and Hα 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 Hα 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 Hα 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
Keywords:Astrophysics; Galaxies; Merger
Journal:Sains Malaysiana
ID Code:20247
Deposited By: ms aida -
Deposited On:19 Oct 2022 06:18
Last Modified:25 Oct 2022 07:49

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