Andrew Brinkerhoff, Chosila Sutantawibul, Indara Suarez, Robert White, Caio Daumann, Jonathan Guiang, Chad Freer, Samuel May, Bennett Marsh, Darin Acosta, Alex Aubuchon, Emanuela Barberis, Aaron Bundock, Claudio Campagnari, Evan Collins, Preston Epps, Johannes Erdmann, Henning Flaecher, Junshen Huang, Vivan Nguyen, Ryan Nie, Sudarshan Paramesvaran, John Rotter, Kaitlin Salyer, Siddhesh Sawant, Tanvi Sheokand, Darien Wood
{"title":"Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector.","authors":"Andrew Brinkerhoff, Chosila Sutantawibul, Indara Suarez, Robert White, Caio Daumann, Jonathan Guiang, Chad Freer, Samuel May, Bennett Marsh, Darin Acosta, Alex Aubuchon, Emanuela Barberis, Aaron Bundock, Claudio Campagnari, Evan Collins, Preston Epps, Johannes Erdmann, Henning Flaecher, Junshen Huang, Vivan Nguyen, Ryan Nie, Sudarshan Paramesvaran, John Rotter, Kaitlin Salyer, Siddhesh Sawant, Tanvi Sheokand, Darien Wood","doi":"10.1007/s41781-025-00147-2","DOIUrl":"10.1007/s41781-025-00147-2","url":null,"abstract":"<p><p>Successful operation of large particle detectors like the Compact Muon Solenoid (CMS) at the CERN Large Hadron Collider requires rapid, in-depth assessment of data quality. We introduce the \"AutoDQM\" system for Automated Data Quality Monitoring using advanced statistical techniques and unsupervised machine learning. Anomaly detection algorithms based on the beta-binomial probability function and principal component analysis are tested on the full set of proton-proton collision data collected by CMS in 2022. AutoDQM identifies anomalous \"bad\" data affected by significant detector malfunction at a rate 4 - 6 times higher than \"good\" data, demonstrating its effectiveness as a general data quality monitoring tool.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s41781-025-00147-2.</p>","PeriodicalId":521268,"journal":{"name":"EPJ research infrastructures","volume":"10 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12922165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147274224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hannah Wakeling, Philip N Burrows, Jim Clarke, Jo Colwell, Niko Neufeld, Ben Shepherd, Dwayne Spiteri, John Thomason
{"title":"High-Level Environmental Sustainability Guidelines for Large Accelerator Facilities.","authors":"Hannah Wakeling, Philip N Burrows, Jim Clarke, Jo Colwell, Niko Neufeld, Ben Shepherd, Dwayne Spiteri, John Thomason","doi":"10.1007/s41781-026-00163-w","DOIUrl":"10.1007/s41781-026-00163-w","url":null,"abstract":"<p><p>The proposed construction of new particle accelerator-based facilities in the coming decades-and upgrades to existing facilities-provides the unique opportunity to embed innovative environmental impact reduction techniques into their design. This living document provides high-level guidelines to improve environmental sustainability in the planning, construction, operational and decommissioning stages of large accelerator facilities. A collection of various resources is provided, with examples of some existing and suggested practices.</p>","PeriodicalId":521268,"journal":{"name":"EPJ research infrastructures","volume":"10 1","pages":"12"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13226410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148160476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}