Dark matter or millisecond pulsars? A deep learning-based analysis of the Fermi Galactic Centre Excess

F. List, N. Rodd, G. Lewis
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Abstract

The \gammaγ-ray Galactic Centre Excess (GCE) remains one of the few observed high-energy signals for which a dark matter (DM) origin is a plausible explanation. We present a deep learning-based analysis of the \gammaγ-ray sky in the Galactic Centre region, carefully accounting for the mathematical degeneracy between faint point-sources (PSs) such as millisecond pulsars (MSPs) and DM-like Poisson emission. Using recent models for the Galactic foregrounds, we find that relatively few bright PSs just below Fermi’s detection threshold seem unlikely to explain the GCE, although we continue to find evidence for PSs. Looking ahead, further improvements in the modelling of the \gammaγ-ray sky will be crucial for distinguishing between a DM-like and point-like morphology of the signal.
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暗物质还是毫秒脉冲星?基于深度学习的费米银河中心过剩分析
伽马γ射线银河系中心过剩(GCE)仍然是为数不多的观测到的高能信号之一,暗物质(DM)的起源是一个合理的解释。我们对银河系中心区域的γ γ射线天空进行了基于深度学习的分析,仔细考虑了微弱点源(ps)(如毫秒脉冲星(MSPs))和类dm泊松发射之间的数学简并。利用最近的银河系前景模型,我们发现相对较少的低于费米探测阈值的明亮PSs似乎不太可能解释GCE,尽管我们继续寻找PSs存在的证据。展望未来,γ γ射线天空模型的进一步改进对于区分信号的dm状和点状形态至关重要。
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