Dataset for Non-resonant Anomaly Detection with Background Extrapolation
收藏Zenodo2023-11-18 更新2026-04-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.11109786
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资源简介：
These are the datasets used in the journal version of the Non-resonant Anomaly Detection with Background Extrapolation paper. The datasets are simulated using MadGraph5 aMC@NLO, Pythia 8.310, and Delphes. There are 0.2M signal events of semi-visible jets in five sets of parameters (invisible-ratio, Z' mass) = { (1/3, 4 TeV), (1/3, 2 TeV), (1/3, 3 TeV), (0, 4 TeV), (2/3, 4 TeV) }, 18.6M background events of SM QCD jets (including background, ideal AD background, and simulated background) for training, and 21.4M background events for testing. The detailed breakdown of number of events after selections in different regions is listed in Table1 of the paper. The input parameter cards used for generating background and signal events are also included.
提供机构：
Lawrence Berkeley National Laboratory; University of Oregon; University of California, Berkeley
创建时间：
2023-11-18
