8 citations · 24 across the 13 of their papers we have counts for
5 papers · 1 filter
DarkSHINE Baseline Design Report: Physics Prospects and Detector Technologies
Jing Chen, Ji-Yuan Chen, Jun-Feng Chen +39
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetiti…
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
Design of a LYSO Crystal Electromagnetic Calorimeter for DarkSHINE Experiment
Zhiyu Zhao, Qibin Liu, Jiyuan Chen +24
This paper presents the design and optimization of a LYSO crystal electromagnetic calorimeter (ECAL) for the DarkSHINE experiment, which aims to search for dark photons as potentia…
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
Pinxue Zhao, Hailin Zhang, Fangcheng Fu +9
Nowadays, Large Language Models (LLMs) have been trained using extended context lengths to foster more creative applications. However, long context training poses great challenges…
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Qibin Liu, Chase Shimmin, Xiulong Liu +3
We introduce a novel machine learning method developed for the fast simulation of calorimeter detector response, adapting vector-quantized variational autoencoder (VQ-VAE). Our mod…