A machine learning approach to assessing the presence of substructure in quasar host galaxies using the Hyper Suprime-Cam Subaru Strategic Program 后印本

作者： Chris Nagele John D. Silverman Tilman Hartwig Junyao Li Connor Bottrell Xuheng Ding Yoshiki Toba
提交时间：2023-02-19 20:58:59

摘要: The conditions under which galactic nuclear regions become active are largely unknown, although it has been hypothesized that secular processes related to galaxy morphology could play a significant role. We investigate this question using optical i-band images of 3096 SDSS quasars and galaxies at 0.3

分类： 天文学 >> 天文学
引用： ChinaXiv:202303.04019 (或此版本 ChinaXiv:202303.04019V1)
DOI:10.12074/202303.04019V1
CSTR:32003.36.ChinaXiv.202303.04019.V1
科创链TXID： 7b037a7c-fc24-4841-b8ea-934c773f7a82
推荐引用方式： Chris Nagele,John D. Silverman,Tilman Hartwig,Junyao Li,Connor Bottrell,Xuheng Ding,Yoshiki Toba.A machine learning approach to assessing the presence of substructure in quasar host galaxies using the Hyper Suprime-Cam Subaru Strategic Program.中国科学院科技论文预发布平台.[ChinaXiv:202303.04019V1] (点此复制)

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2023-02-19 20:58:59

ChinaXiv:202303.04019V1

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