竞彩足球比分

报告题目：Compact Object Engines and Relativistic Transients: From Physical Modeling to (Symbolic) AI Inference

报告嘉宾：Rahim Moradi，中国科竞彩足球比分 高能物理研究所 副研究员

报告时间：2026年3月16日 10:00

报告地点：吉林大学中心校区物理楼333会议室

主持人：宋维民

报告摘要

　　Gamma-ray bursts (GRBs) provide an exceptional laboratory for studying compact object engines and relativistic outflows under extreme (astro)physical conditions. Understanding these events requires connecting theoretical models of strong field gravity, astrophysical jet dynamics, and radiation processes with available and upcoming large observational datasets. In this talk, I will present our recent progress on the physical mechanisms powering GRB prompt emission and afterglows. I will discuss models of variable relativistic outflows driven by compact-object engines, accretion-modulated shell production in internal shocks within our recently developed AMIS model, magnetar spin-down signatures in GRB afterglows, and the possibility of relativistically boosted Nickel decay lines in ultra-relativistic jets. I will also introduce FNet, a deep learning framework developed to infer key spectral properties from large scale observational data, where elements of physical insight are incorporated in network architecture. Finally, I will discuss recent work employing symbolic artificial intelligence to discover interpretable relations directly from high energy astrophysical datasets, aiming to provide physically transparent inference tools for time domain high energy astrophysics.

嘉宾简介

　　Rahim Moradi，现为中国科竞彩足球比分 高能物理研究所国家粒子天体物理学重点实验室副研究员。2019年，在意大利罗马萨皮恩扎大学获得理学博士学位。曾先后在伊朗德黑兰基础科学研究研究所(IPM)、意大利国家天体物理研究所(INAF)、意大利罗马大学、意大利国际相对论天体物理中心(ICRANet)任副研究员从事研究工作。主要研究方向是由致密天体驱动的时变相对论系统的物理学，重点研究伽马射线暴、快速瞬变源、相对论外流和吸积黑洞系统。开发基于物理原理的模型和物理正则化的人工智能推理框架，结合高能观测数据（尤其是伽马射线暴数据集）的高级数据分析，将引擎变异性、辐射过程和可观测的时间域特征与源的潜在物理参数联系起来。

举办单位：

竞彩足球比分-竞彩足球比分预测

吉林大学理论物理中心