English(EN) CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters

CaloTrilogy框架加速粒子物理模拟

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-04 04:00

研究人员开发了CaloTrilogy，一个用于粒子物理高精度量热仪模拟的新型框架。该方法结合了用于快速采样的平均速度场积分器、学习到的生成先验和物理引导的损失项。该方法允许端到端生成，评估步骤最少，实现了与现有流模型和扩散模型相当的粒子流质量，同时保持了物理保真度。 AI

影响加速粒子物理实验的高精度模拟，可能实现对碰撞器数据的更快分析。

排序理由该集群包含一篇详细介绍新科学框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Cheng Jiang, Sitian Qian, Kevin Pedro, Oz Amram, Huilin Qu, Maggie Voetberg · 2026-06-04 04:00

CaloTrilogy：迈向一步式、端到端、物理引导的现代量能器粒子流生成新突破

arXiv:2606.04165v1 Announce Type: cross Abstract: High-precision calorimeter simulation at current and future colliders imposes rapidly growing computational demands, motivating the development of machine-learning surrogates for traditional Monte Carlo tools such as Geant4. Flow …