{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/towards-the-ultimate-pmt-waveform-analysis","title":"Towards the ultimate PMT waveform analysis for neutrino and dark matter experiments","arxiv_id":"2112.06913","date":"2021-12-14","proceeding":null,"authors":["Dacheng Xu","Benda Xu","Erjin Bao","Yiyang Wu","Aiqiang Zhang","Yuyi Wang","Geliang Zhang","Yu Xu","Ziyi Guo","Jihui Pei","Hanyang Mao","Jiashuo Liu","Zhe Wang","Shaomin Chen"],"abstract":"Photomultiplier tube (PMT) voltage waveforms are the raw data of many neutrino and dark matter experiments. Waveform analysis is the cornerstone of data processing. We evaluate the performance of all the waveform analysis algorithms known to us and find fast stochastic matching pursuit the best in accuracy. Significant time (up to 2 times) and energy (up to 1.07 times) resolution boosts are attainable with fast stochastic matching pursuit, approaching theoretical limits. Other methods also outperform the traditional threshold crossing approach in time resolution.","url_abs":"https://arxiv.org/abs/2112.06913v3","url_pdf":"https://arxiv.org/pdf/2112.06913v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"towards-the-ultimate-pmt-waveform-analysis","repo_url":"https://github.com/heroxbd/waveform-analysis","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"jax","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}