{"id":"https://openalex.org/W7214728234","doi":"https://doi.org/10.48550/arxiv.2609.34698","title":"A study of CMS analysis pipelines through the Integration Challenge","display_name":"A study of CMS analysis pipelines through the Integration Challenge","publication_year":2026,"publication_date":"2026-09-28","ids":{"openalex":"https://openalex.org/W7214728234","doi":"https://doi.org/10.48550/arxiv.2609.34698"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.34698","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.34698","pdf_url":"https://arxiv.org/pdf/2609.34698","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.34698","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101523345","display_name":"M. Aly","orcid":"https://orcid.org/0000-0003-3043-3715","observed_orcids":["https://orcid.org/0000-0003-3043-3715"]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aly, Mohamed","raw_affiliation_strings":["Princeton University , Princeton , NJ 08544 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University , Princeton , NJ 08544 , USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031846245","display_name":"P. Elmer","orcid":"https://orcid.org/0000-0001-6830-3356","observed_orcids":["https://orcid.org/0000-0001-6830-3356"]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elmer, Peter","raw_affiliation_strings":["Princeton University , Princeton , NJ 08544 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University , Princeton , NJ 08544 , USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153551203","display_name":"Peter Fackeldey","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fackeldey, Peter","raw_affiliation_strings":["Princeton University , Princeton , NJ 08544 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University , Princeton , NJ 08544 , USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026235261","display_name":"Oksana Shadura","orcid":"https://orcid.org/0000-0001-5356-2494","observed_orcids":["https://orcid.org/0000-0001-5356-2494"]},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shadura, Oksana","raw_affiliation_strings":["University of Nebraska-Lincoln , Lincoln , NE 68588 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln , Lincoln , NE 68588 , USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8666999936103821,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8666999936103821,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.055799998342990875,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.042100001126527786,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/high-luminosity-lhc","display_name":"High-Luminosity LHC","score":0.8320000171661377},{"id":"https://openalex.org/keywords/python-ecosystem","display_name":"Python ecosystem","score":0.37599998712539673},{"id":"https://openalex.org/keywords/tool-interoperability","display_name":"tool interoperability","score":0.7699999809265137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7049999833106995},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"statistical inference","score":0.8920000195503235},{"id":"https://openalex.org/keywords/data-visualization","display_name":"data visualization","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.7366999983787537},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6380000114440918},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5105999708175659},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.4900999963283539},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47049999237060547},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4284999966621399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41179999709129333},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4090000092983246},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.40700000524520874},{"id":"https://openalex.org/C19527686","wikidata":"https://www.wikidata.org/wiki/Q1665453","display_name":"System integration","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.34698","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.34698","pdf_url":"https://arxiv.org/pdf/2609.34698","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.34698","doi":"https://doi.org/10.48550/arxiv.2609.34698","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.34698","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.34698","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.34698","pdf_url":"https://arxiv.org/pdf/2609.34698","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5178502699","display_name":"S2I2: Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)","funder_award_id":"1836650","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5447875206","display_name":"Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP)","funder_award_id":"2323298","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214728234.pdf","grobid_xml":"https://content.openalex.org/works/W7214728234.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2033860055","https://openalex.org/W2943669684","https://openalex.org/W2967060868","https://openalex.org/W2974845610","https://openalex.org/W2993242526","https://openalex.org/W3011735680","https://openalex.org/W3037293958","https://openalex.org/W3104566301","https://openalex.org/W3135070460","https://openalex.org/W4293385364","https://openalex.org/W4396661989","https://openalex.org/W4414918010","https://openalex.org/W6912144917","https://openalex.org/W6931270071","https://openalex.org/W6931739297","https://openalex.org/W6949830899"],"related_works":["https://openalex.org/W4310235780","https://openalex.org/W4390690179","https://openalex.org/W4414882352","https://openalex.org/W7162823475","https://openalex.org/W7137490818","https://openalex.org/W4396671583","https://openalex.org/W7162703891","https://openalex.org/W3195599194","https://openalex.org/W4320916987","https://openalex.org/W4396661982"],"abstract_inverted_index":{"The":[0,110,137],"upcoming":[1],"High-Luminosity":[2],"Large":[3],"Hadron":[4],"Collider":[5],"(HL-LHC)":[6],"at":[7,83],"CERN":[8],"will":[9],"deliver":[10],"an":[11,78,115],"unprecedented":[12],"volume":[13],"of":[14,23,71,87,103,154],"data":[15,142,169,174],"for":[16,28,66,106,135,166,184],"High":[17],"Energy":[18],"Physics":[19],"(HEP).":[20],"This":[21],"wealth":[22],"information":[24],"offers":[25],"significant":[26],"opportunities":[27],"scientific":[29,58],"discovery,":[30],"but":[31],"its":[32],"scale":[33],"challenges":[34],"traditional":[35],"analysis":[36,44,98,104,124,156,211],"workflows.":[37,212],"In":[38,158],"this":[39,72],"paper,":[40],"we":[41,191],"present":[42],"CMS":[43,155],"pipelines":[45,53],"being":[46],"developed":[47,88],"to":[48,91],"meet":[49],"HL-LHC":[50,108,210],"demands.":[51],"These":[52],"build":[54],"on":[55],"the":[56,75,85,101,107,131,160,180,188],"broader":[57],"Python":[59],"ecosystem,":[60],"complemented":[61],"by":[62,119],"solutions":[63],"specifically":[64],"designed":[65],"HEP.":[67],"A":[68],"central":[69],"focus":[70],"work":[73],"is":[74],"Integration":[76,111,161],"Challenge,":[77],"IRIS-HEP":[79],"led":[80],"effort":[81],"aimed":[82],"assessing":[84],"readiness":[86,102],"software":[89],"stack":[90],"be":[92],"used":[93],"in":[94],"real":[95],"world":[96],"physics":[97,123],"and":[99,130,148,173],"improving":[100],"facilities":[105],"era.":[109],"Challenge":[112,162],"acts":[113],"as":[114,176,178,198],"end-to-end":[116],"integration":[117],"test:":[118],"implementing":[120],"a":[121,152],"complete":[122],"pipeline,":[125],"it":[126],"evaluates":[127],"tool":[128],"interoperability":[129],"overall":[132],"user":[133],"experience":[134],"analysts.":[136],"current":[138],"pipeline":[139],"includes":[140],"columnar":[141],"processing,":[143],"machine":[144],"learning,":[145],"statistical":[146],"inference,":[147],"visualization":[149],"tasks":[150],"covering":[151],"variety":[153],"scenarios.":[157],"addition,":[159],"explores":[163],"efficient":[164],"strategies":[165],"delivering":[167],"skimmed":[168],"using":[170],"diverse":[171],"tools":[172],"formats,":[175],"well":[177],"evaluating":[179],"ServiceX":[181],"data-delivery":[182],"system":[183],"HEP":[185],"analyses.":[186],"Throughout":[187],"testing":[189],"phase,":[190],"also":[192],"investigated":[193],"several":[194],"prototype":[195],"services,":[196],"such":[197],"histogram-as-a-service":[199],"capabilities,":[200],"along":[201],"with":[202],"other":[203],"emerging":[204],"services":[205],"that":[206],"may":[207],"support":[208],"future":[209]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-30T00:00:00"}