Fast Calorimeter Simulation Challenge 2022 - Submissions Dataset 3
收藏资源简介:
These are all the submitted samples to dataset 3 of the “Fast Calorimeter Simulation Challenge 2022”. They each consist of 100k calorimeter showers of electrons with energies sampled from a log-uniform distribution ranging from 1 GeV to 1 TeV. The training data (based on Geant4) can be found at https://doi.org/10.5281/zenodo.6366324, the paper describing the results is available on arXiv:2410.21611, and further details, in particular helper scripts to parse the data and calculate and visualize basic high-level physics features, are available at https://calochallenge.github.io/homepage/. The subscripts in the file names corresponds to the individual submissions: ID number Submission name Original reference _1 CaloDiffusion arXiv:2308.03876 _2 L2LFlows-MAF arXiv:2302.11594, arXiv:2405.20407 _3 conv. L2LFlows arXiv:2405.20407 _5 MDMA arXiv:2305.15254, arXiv:2408.04997 _6 CaloClouds arXiv:2305.04847, arXiv:2309.05704 _7 Calo-VQ arXiv:2405.06605 _9 CaloScore distilled arXiv:2206.11898, arXiv:2308.03847 _10 CaloScore single-shot arXiv:2206.11898, arXiv:2308.03847 _13 iCaloFlow teacher arXiv:2305.11934 _14 iCaloFlow student arXiv:2305.11934 _21 Geant4-Transformer DOI _23 CaloPointFlow arXiv:2403.15782 _27 CaloVAE+INN arXiv:2312.09290 _31 Calo-VQ(norm) arXiv:2405.06605 _33 CaloDREAM arXiv:2405.09629 The samples here can be used to reproduce the results of arXiv:2410.21611 and as benchmarks for new models after the challenge concluded.



