{"id":"https://openalex.org/W4396915067","doi":"https://doi.org/10.1088/2632-2153/ad4c37","title":"Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers","display_name":"Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4396915067","doi":"https://doi.org/10.1088/2632-2153/ad4c37"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad4c37","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4c37","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4c37/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4c37/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045793208","display_name":"Minyang Tian","orcid":"https://orcid.org/0000-0001-8009-9116"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Minyang Tian","raw_affiliation_strings":["Physics, University of Illinois Urbana-Champaign Grainger College of Engineering, 1110 W Green St Loomis Laboratory, Urbana, Illinois, 61801-2946, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Physics, University of Illinois Urbana-Champaign Grainger College of Engineering, 1110 W Green St Loomis Laboratory, Urbana, Illinois, 61801-2946, UNITED STATES","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059877418","display_name":"E. A. Huerta","orcid":"https://orcid.org/0000-0002-9682-3604"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E A Huerta","raw_affiliation_strings":["Data Science and Learning Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois, 60439-4801, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Data Science and Learning Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois, 60439-4801, UNITED STATES","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056735862","display_name":"Huihuo Zheng","orcid":"https://orcid.org/0000-0001-9008-9552"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huihuo Zheng","raw_affiliation_strings":["Argonne leadership computing facility, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois, 60439, UNITED STATES"],"affiliations":[{"raw_affiliation_string":"Argonne leadership computing facility, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois, 60439, UNITED STATES","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048208658","display_name":"P. Kumar","orcid":"https://orcid.org/0000-0001-5523-4603"},"institutions":[{"id":"https://openalex.org/I11947397","display_name":"Tata Institute of Fundamental Research","ror":"https://ror.org/03ht1xw27","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prayush Kumar","raw_affiliation_strings":["Tata Institute of Fundamental Research, Survey No. 151, Shivakote, Hesaraghatta Hobli,, Mumbai, Maharashtra, 400005, INDIA"],"affiliations":[{"raw_affiliation_string":"Tata Institute of Fundamental Research, Survey No. 151, Shivakote, Hesaraghatta Hobli,, Mumbai, Maharashtra, 400005, INDIA","institution_ids":["https://openalex.org/I11947397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045793208"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.2993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79125561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"5","issue":"2","first_page":"025056","last_page":"025056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear 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/materials-science","display_name":"Materials science","score":0.4548322856426239}],"concepts":[{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4548322856426239}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1088/2632-2153/ad4c37","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4c37","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4c37/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ff61a041ae164bb98fcc65cb5473eb3e","is_oa":true,"landing_page_url":"https://doaj.org/article/ff61a041ae164bb98fcc65cb5473eb3e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 2, p 025056 (2024)","raw_type":"article"},{"id":"pmh:oai:osti.gov:2350857","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2350857","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"pmh:oai:osti.gov:2369833","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2369833","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},{"id":"pmh:oai:osti.gov:2475502","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2475502","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad4c37","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad4c37","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad4c37/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G230502401","display_name":null,"funder_award_id":"OAC-1931561","funder_id":"https://openalex.org/F4320337563","funder_display_name":"Division of Advanced Cyberinfrastructure"},{"id":"https://openalex.org/G4790718960","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320338284","funder_display_name":"Argonne National Laboratory"}],"funders":[{"id":"https://openalex.org/F4320337563","display_name":"Division of Advanced Cyberinfrastructure","ror":"https://ror.org/04nh1dc89"},{"id":"https://openalex.org/F4320338284","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396915067.pdf"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1134494461","https://openalex.org/W1662382123","https://openalex.org/W1749804791","https://openalex.org/W2519091744","https://openalex.org/W2568927912","https://openalex.org/W2606780347","https://openalex.org/W2766840380","https://openalex.org/W2767526854","https://openalex.org/W2775923832","https://openalex.org/W2790799210","https://openalex.org/W2883065952","https://openalex.org/W2898614555","https://openalex.org/W2903883386","https://openalex.org/W2907952156","https://openalex.org/W2953142974","https://openalex.org/W2962711740","https://openalex.org/W2966398653","https://openalex.org/W2972287152","https://openalex.org/W2975828310","https://openalex.org/W2976778558","https://openalex.org/W2977600537","https://openalex.org/W2993016707","https://openalex.org/W2996189182","https://openalex.org/W3000462360","https://openalex.org/W3011858437","https://openalex.org/W3017515023","https://openalex.org/W3022596706","https://openalex.org/W3031729501","https://openalex.org/W3041518208","https://openalex.org/W3091954596","https://openalex.org/W3093836757","https://openalex.org/W3097015874","https://openalex.org/W3100187076","https://openalex.org/W3100656259","https://openalex.org/W3102357407","https://openalex.org/W3103604406","https://openalex.org/W3104042330","https://openalex.org/W3105546891","https://openalex.org/W3108073849","https://openalex.org/W3111587505","https://openalex.org/W3119760464","https://openalex.org/W3134743711","https://openalex.org/W3139628080","https://openalex.org/W3154616697","https://openalex.org/W3156992276","https://openalex.org/W3157165089","https://openalex.org/W3160018205","https://openalex.org/W3160629185","https://openalex.org/W3168132886","https://openalex.org/W3169573526","https://openalex.org/W3177688233","https://openalex.org/W3194128951","https://openalex.org/W3197875186","https://openalex.org/W4212794153","https://openalex.org/W4220925139","https://openalex.org/W4221034415","https://openalex.org/W4285249408","https://openalex.org/W4293649261","https://openalex.org/W4294558607","https://openalex.org/W4306318534","https://openalex.org/W4318309358","https://openalex.org/W4327545949","https://openalex.org/W4382603223","https://openalex.org/W4384828926","https://openalex.org/W4385341464","https://openalex.org/W6637178625","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6795167555","https://openalex.org/W6842540287"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4404995717","https://openalex.org/W2016187641","https://openalex.org/W4404725684","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W4404784341"],"abstract_inverted_index":{"Abstract":[0],"We":[1,181,274],"present":[2],"a":[3,167,170,245,297,304],"new":[4],"class":[5],"of":[6,12,144,166,254,271,296,299,322,328],"AI":[7,126,186,239,256,276,315],"models":[8,127,187,257],"for":[9,261,268],"the":[10,23,102,164,175,211,215,282,289,294,319,329],"detection":[11],"quasi-circular,":[13],"spinning,":[14],"non-precessing":[15],"binary":[16],"black":[17],"hole":[18],"mergers":[19],"whose":[20],"waveforms":[21,195],"include":[22],"higher":[24],"order":[25],"gravitational":[26,145,156,300,337],"wave":[27,157,301],"modes":[28],"<mml:math":[29,103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[30,104],"overflow=\"scroll\">":[31,105],"<mml:mrow>":[32,37,42,106,111,116],"<mml:mo":[33,38,43,46,49,52,57,60,65,68,73,76,81,84,89,91,112,117],"stretchy=\"false\">(</mml:mo>":[34,53,61,69,77,85],"<mml:mi>\u2113</mml:mi>":[35,107],"<mml:mo>,</mml:mo>":[36,55,59,63,67,71,75,79,83,87,110],"stretchy=\"false\">|</mml:mo>":[39,44,113,118],"</mml:mrow>":[40,45,94,114,119,122],"<mml:mi>m</mml:mi>":[41,115],"stretchy=\"false\">)</mml:mo>":[47,58,66,74,82,90],"<mml:mo>=</mml:mo>":[48,108,120],"fence=\"false\"":[50,92],"stretchy=\"false\">{</mml:mo>":[51],"<mml:mn>2</mml:mn>":[54,56,62,80,121],"<mml:mn>1</mml:mn>":[64],"<mml:mn>3</mml:mn>":[70,72,78,109],"<mml:mn>4</mml:mn>":[86,88],"stretchy=\"false\">}</mml:mo>":[93],"</mml:math>":[95,123],",":[96],"and":[97,139,147,162,178,228,249,264,285,292,334,344,348],"mode":[98],"mixing":[99],"effects":[100],"in":[101,169,210,281,288,341,356],"harmonics.":[124],"These":[125],"combine":[128],"hybrid":[129],"dilated":[130],"convolution":[131],"neural":[132,149],"networks":[133,150],"to":[134,151,159,196,232,317],"accurately":[135],"model":[136],"both":[137],"short-":[138],"long-range":[140],"temporal":[141],"sequential":[142],"information":[143],"waves;":[146],"graph":[148],"capture":[152],"spatial":[153],"correlations":[154],"among":[155],"observatories":[158],"consistently":[160],"describe":[161],"identify":[163],"presence":[165],"signal":[168,200,262],"three":[171,246,305],"detector":[172,247,306],"network":[173,307],"encompassing":[174],"Advanced":[176,342,345],"LIGO":[177,343],"Virgo":[179,346],"detectors.":[180],"first":[182],"trained":[183],"these":[184,238,314],"spatiotemporal-graph":[185],"using":[188,191,205,359],"synthetic":[189],"noise,":[190],"1.2":[192],"million":[193],"modeled":[194],"densely":[197],"sample":[198],"this":[199],"manifold,":[201],"within":[202,308],"1.7":[203],"h":[204],"256":[206],"NVIDIA":[207,234,361],"A100":[208,235,362],"GPUs":[209,280],"Polaris":[212,283],"supercomputer":[213,284],"at":[214],"Argonne":[216],"Leadership":[217],"Computing":[218],"Facility.":[219],"This":[220,352],"distributed":[221,275],"training":[222],"approach":[223],"exhibited":[224],"optimal":[225],"classification":[226],"performance,":[227],"strong":[229],"scaling":[230],"up":[231],"512":[233],"GPUs.":[236],"With":[237],"ensembles":[240,316],"we":[241,312],"processed":[242],"data":[243,302],"from":[244,303],"network,":[248],"found":[250,335],"that":[251],"an":[252],"ensemble":[253],"4":[255],"achieves":[258],"state-of-the-art":[259],"performance":[260],"detection,":[263],"reports":[265],"two":[266],"misclassifications":[267],"every":[269],"decade":[270,298],"searched":[272],"data.":[273],"inference":[277],"over":[278],"128":[279,286],"nodes":[287],"Theta":[290],"supercomputer,":[291],"completed":[293,355],"processing":[295],"3.5":[309],"h.":[310],"Finally,":[311],"fine-tuned":[313],"process":[318],"entire":[320],"month":[321],"February":[323],"2020,":[324],"which":[325],"is":[326],"part":[327],"O3b":[330],"LIGO/Virgo":[331],"observation":[332],"run,":[333],"6":[336],"waves,":[338],"concurrently":[339],"identified":[340],"data,":[347],"zero":[349],"false":[350],"positives.":[351],"analysis":[353],"was":[354],"one":[357,360],"hour":[358],"GPU.":[363]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
