تقرير
Automated Detection of Double Nuclei Galaxies using GOTHIC and the Discovery of a Large Sample of Dual AGN
| العنوان: | Automated Detection of Double Nuclei Galaxies using GOTHIC and the Discovery of a Large Sample of Dual AGN |
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| المؤلفون: | Bhattacharya, Anwesh, P., Nehal C., Das, Mousumi, Paswan, Abhishek, Saha, Snehanshu, Combes, Francoise |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science Astrophysics |
| مصطلحات موضوعية: | Astrophysics - Astrophysics of Galaxies, Computer Science - Machine Learning |
| الوصف: | We present a novel algorithm to detect double nuclei galaxies (DNG) called GOTHIC (Graph BOosted iterated HIll Climbing) - that detects whether a given image of a galaxy has two or more closely separated nuclei. Our aim is to detect samples of dual or multiple active galactic nuclei (AGN) in galaxies. Although galaxy mergers are common, the detection of dual AGN is rare. Their detection is very important as they help us understand the formation of supermassive black hole (SMBH) binaries, SMBH growth and AGN feedback effects in multiple nuclei systems. There is thus a need for an algorithm to do a systematic survey of existing imaging data for the discovery of DNGs and dual AGN. We have tested GOTHIC on a known sample of DNGs and subsequently applied it to a sample of a million SDSS DR16 galaxies lying in the redshift range of 0 to 0.75 approximately, and have available spectroscopic data. We have detected 159 dual AGN in this sample, of which 2 are triple AGN systems. Our results show that dual AGN are not common, and triple AGN even rarer. The color (u-r) magnitude plots of the DNGs indicate that star formation is quenched as the nuclei come closer and as the AGN fraction increases. The quenching is especially prominent for dual/triple AGN galaxies that lie in the extreme end of the red sequence. Comment: Accepted at MNRAS |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1093/mnras/stad2117 |
| URL الوصول: | http://arxiv.org/abs/2011.12177 |
| رقم الأكسشن: | edsarx.2011.12177 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1093/mnras/stad2117 |
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