How to GAN Higher Jet Resolution

EPiC-GAN：面向粒子喷注的等变点云生成模型

EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets

针对高能对撞机模拟需求，提出基于深度集合的EPiC-GAN等变点云生成对抗网络，无需粒子间成对信息共享，可生成可变粒子数的喷注点云，速度优于图与Transformer类方法，在基准任务上实现高保真生成。

Jet substructure modification probes the QGP resolution length

We show the sensitivity of groomed jet substructure measurements to the finite resolution power of the QGP to disentangle multiple energetic partons, as produced by QCD jets, that traverse it simultaneously. We illustrate these effects by studying Soft Dropped observables within a hybrid strong/weak coupling model for jet-medium interactions. By analysing Monte-Carlo-generated jet data in heavy ion collisions, we show that the angular structure of these type of observables is sensitive to the value of the QGP resolution length.

Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model

High-multiplicity all-hadronic final states are an important, but difficult final state for searching for physics beyond the Standard Model. A powerful search method is to look for large jets with accidental substructure due to multiple hard partons falling within a single jet. One way for estimating the background in this search is to exploit an approximate factorization in quantum chromodynamics whereby the jet mass distribution is determined only by its kinematic properties. Traditionally, this approach has been executed using histograms constructed in a background-rich region. We propose a…

基于事件内感知GAN与自监督关系推理的超高分辨率探测器模拟

Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning

本文提出IEA-GAN，通过关系推理模块和自监督损失实现超高颗粒度探测器完整模拟，并在Belle II的PXD上验证了其生成高保真多样样本的能力。

Resummed predictions for jet-resolution scales in multijet production in $e^+e^-$ annihilation

We present for the first time resummed predictions at NLO + NLL' accuracy for the Durham jet-resolution scales $y_{n,n+1}$ in multijet production in $e^+e^-$ collisions. Results are obtained using an implementation of the well known CAESAR formalism within the SHERPA framework. For the 4-, 5- and 6-jet resolutions we discuss in particular the impact of subleading colour contributions and compare to matrix-element plus parton-shower predictions from SHERPA and VINCIA.