Search for spatial coincidences between galaxy mergers and Fermi-LAT 4FGL-DR4 sources

IF 10.5 4区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
Siddhant Manna, Shantanu Desai
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引用次数: 0

Abstract

We present a systematic search for spatial association between a high confidence sample of 3,166 morphologically selected galaxy mergers drawn from the initial convolutional neural network (CNN) catalog of 328,151 candidate mergers (Ackermann et al., 2018) and refined through SDSS cross-matching and the Fermi Large Area Telescope Fourth Source Catalog Data Release 4 (4FGL-DR4) catalog of gamma-ray sources detected by the Fermi Large Area Telescope (LAT). Using a conservative 4σ positional uncertainty threshold and a Poisson based statistical framework, we identify 21 statistically significant associations with match probabilities p<0.05. Among these are known classes of gamma-ray emitters such as Flat-Spectrum Radio Quasars (FSRQs), BL Lacertae objects (BLL), and radio galaxies bolstering the hypothesis that merger driven processes can fuel high energy activity. Intriguingly, five of the associated sources remain unclassified in 4FGL-DR4, hinting at a possible link between galaxy mergers and a hitherto unrecognized population of gamma-ray sources. The dominance of AGN like matches supports the scenario in which mergers trigger accretion onto central supermassive black holes, initiating AGN activity observable at gamma-ray energies. Moreover, the recurrent presence of unassociated sources among secure matches underscores the potential of merger catalogs as physically motivated priors in gamma-ray source identification efforts. This work constitutes the first dedicated effort to explore associations between gamma-ray sources and a large, morphologically selected sample of galaxy mergers (Ackermann et al., 2018) catalog, opening new avenues for understanding the role of galaxy interactions in high-energy astrophysics. We additionally examined the sample of 70 galaxy pairs from the Canadian Network for Observational Cosmology Field Galaxy Redshift Survey and found no statistically significant matches, with p<0.05 within the 4σ positional uncertainty threshold.
寻找星系合并与费米- lat 4FGL-DR4源之间的空间一致性
我们对328,151个候选合并的初始卷积神经网络(CNN)目录(Ackermann et al., 2018)中3,166个形态选择的星系合并的高置信度样本进行了系统搜索,并通过SDSS交叉匹配与费米大面积望远镜(LAT)探测到的伽马射线源第四源目录数据发布4 (4FGL-DR4)目录进行了优化。使用保守的4σ位置不确定性阈值和基于泊松的统计框架,我们确定了21个具有统计意义的匹配概率(p<0.05)。在这些已知的伽玛射线发射体中,有平谱射电类星体(FSRQs)、BL Lacertae天体(BLL)和射电星系,这些都支持了合并驱动过程可以激发高能活动的假设。有趣的是,在4FGL-DR4中,有5个相关的源仍未被分类,这暗示了星系合并与迄今为止未被识别的伽马射线源群之间可能存在联系。AGN类匹配的主导地位支持了合并触发中央超大质量黑洞吸积的情景,引发了在伽马射线能量下可观察到的AGN活动。此外,在安全匹配中反复出现的不相关源强调了合并目录在伽马射线源识别工作中作为物理动机先验的潜力。这项工作构成了探索伽玛射线源与一个大的、形态选择的星系合并样本(Ackermann et al., 2018)目录之间关系的第一次专门努力,为理解星系相互作用在高能天体物理学中的作用开辟了新的途径。我们进一步检查了来自加拿大观测宇宙学场星系红移调查网络的70个星系对样本,发现没有统计学上显著的匹配,p<;0.05在4σ位置不确定性阈值内。
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来源期刊
Journal of High Energy Astrophysics
Journal of High Energy Astrophysics Earth and Planetary Sciences-Space and Planetary Science
CiteScore
9.70
自引率
5.30%
发文量
38
审稿时长
65 days
期刊介绍: The journal welcomes manuscripts on theoretical models, simulations, and observations of highly energetic astrophysical objects both in our Galaxy and beyond. Among those, black holes at all scales, neutron stars, pulsars and their nebula, binaries, novae and supernovae, their remnants, active galaxies, and clusters are just a few examples. The journal will consider research across the whole electromagnetic spectrum, as well as research using various messengers, such as gravitational waves or neutrinos. Effects of high-energy phenomena on cosmology and star-formation, results from dedicated surveys expanding the knowledge of extreme environments, and astrophysical implications of dark matter are also welcomed topics.
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