高能暂现源 · 每日文献综述

HIGH-ENERGY TRANSIENTS · DAILY LITERATURE REVIEW
2026 年 6 月 15 日 星期一 · 数据截至 arXiv / ADS 最新收录日
I.

今日头条

No Breaking · 无突发
今日无通过复核的重大进展

当日 2 篇核心与相关文献均为常规推进,核心 2 篇已按优先级列于下方。

II.

核心文献

2 篇
01
优先级 90 · 高能暂现天体 · Einstein Probe

M-EPDet: Real-time Real─Bogus Classification and Transient Candidate Judgement for the EP-WXT Pipeline via Multimodal Data

M-EPDet:基于多模态数据的EP-WXT管线实时真伪分类与暂现候选体判定

Lang Chen (National Astronomical Observatories, Chinese Academy of Sciences), Yunfei Xu (National Astronomical Observatories, Chinese Academy of Sciences), Zhen Zhang (National Astronomical Observatories, Chinese Academy of Sciences) et al.

原文摘要Abstract

The Wide-field X-ray Telescope (WXT) on board the Einstein Probe (EP) produces a large postdetection candidate stream in which genuine astrophysical sources coexist with instrumental artifacts and cosmic-ray events. We present M-EPDet, a three-step postdetection framework for real-time candidate vetting in EP-WXT lobster-eye micropore optics (MPO) data. The framework combines a ResNet-based arm filter, a dual-branch temporal─spectral cosmic-ray filter, and a background-aware Bayesian Blocks module for single-exposure variability screening. Using on-orbit EP-WXT observations, we report decoupled metrics for the cascading system. M-EPDet achieves a real─bogus recall of 98.31% (98.53% × 99.78%) for genuine astrophysical sources, together with rejection rates of 92.99% for instrumental artifacts and 98.18% for cosmic-ray events. In the final step, the Bayesian Blocks module flags 0.75% of the postfiltration observations, corresponding to a 99.25% reduction in candidate volume. The system is deployed in the EP-WXT pipeline as a lightweight real-time service, reducing the manual-inspection burden in candidate vetting.

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AI 综述 AI-generated · 以原文为准
亮点

首次针对EP-WXT龙虾眼光学数据设计空间-时域-能谱多模态级联架构,在保留98.31%真实源的同时排除93%以上仪器伪影和98%以上宇宙线;末端引入贝叶斯块进行背景感知的变异性筛选,将候选体体积压缩至0.75%,大幅减轻人工审核负担;系统已作为CPU级实时服务部署于EP-WXT管线。

脉络与展望

此前基于LEIA路径仪数据的X射线源分类多采用手工特征与传统机器学习,难以充分捕获龙虾眼在轨复杂背景 (Zuo+ 2024)。本工作直接利用EP-WXT在轨数据,构建空间图像、光变曲线、能谱多模态输入,形成ResNet臂滤波、双分支宇宙线滤波和背景感知贝叶斯块 Scargle+ 2013 变异性筛选的三级级联框架,实现高召回率与高排除率的实时处理。未来可结合邻近源星表掩模与多波段先验 (如Gaia、AllWISE) 缓解拥挤场效应,并推动从真伪分类向精细天体类别判定的拓展。

预印本 2026-06-24 · 接收 2026-06-15 · 刊出 2026-07-16 · 收录 2026-07-22

02
优先级 80 · 伽马暴 GRB

GRB 250424A: A Case Study of Energy Injection with Multiwavelength Observations

GRB 250424A:多波长观测的能量注入案例研究

Y. Liang, Y. Wang, W. Zheng, et al.

原文摘要Abstract

We present a comprehensive multiwavelength analysis of the long-duration gamma-ray burst (GRB) 250424A. Our dataset spans from the prompt gamma-ray emission to late-time optical monitoring, including spectra obtained with the Keck 10 m telescope. We find that the afterglow light curves display a prominent, simultaneous shallow decay phase in both X-ray and optical bands, followed by an achromatic transition to a standard decay regime. The broadband spectral energy distributions are well modeled by a single power-law function, indicating a common synchrotron origin for the emission across frequencies. We interpret the afterglow evolution within the framework of a relativistic forward shock refreshed by continuous energy injection. This scenario successfully reproduces the observed temporal and spectral behavior, yielding an isotropic equivalent kinetic energy of E<SUB>K,iso</SUB> ≍ 5.5 × 10<SUP>52</SUP> erg and an injection index of q ≍ 0.34 in a constant-density circumburst environment. The shallow decay phase is consistent with sustained energy injection lasting ∼9 ks. Despite the relatively low redshift, late-time optical observations reveal no distinct supernova component; however, our derived upper limits do not strictly rule out the presence of a typical GRB-associated supernova.

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AI 综述 AI-generated · 以原文为准
亮点

在同一暴中同时捕获X射线和光学波段的浅衰变与色差过渡,提供了能量注入的清晰观测证据,并用模型约束注入参数。

脉络与展望

能量注入模型常被用于解释GRB余辉中的平台特征,但以往多基于单一波段。本研究利用GRB 250424A的高质量多波段光变和光谱,展示了前向激波在恒定密度介质中受持续能量注入的完整图像,进一步支持中心引擎在暴后数小时内持续供能的观点。未来更大样本的多波段同步监测,结合早期光谱,有望区分不同能量注入机制并揭示其与超新星亮度的关联。

接收 2026-06-15 · 刊出 2026-07-17 · 收录 2026-07-28