{"id":"https://openalex.org/W7224994478","doi":"https://doi.org/10.5281/zenodo.23243285","title":"Results: Choosing a generator for streaming Gaussian noise in gravitational-wave mock data","display_name":"Results: Choosing a generator for streaming Gaussian noise in gravitational-wave mock data","publication_year":2026,"publication_date":"2026-10-31","ids":{"openalex":"https://openalex.org/W7224994478","doi":"https://doi.org/10.5281/zenodo.23243285"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23243285","doi":"https://doi.org/10.5281/zenodo.23243285","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23243285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23243285","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033794708","display_name":"I. C. F. Wong","orcid":"https://orcid.org/0000-0003-2166-0027","observed_orcids":["https://orcid.org/0000-0003-2166-0027"]},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Wong, Isaac C. F.","raw_affiliation_strings":["KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics; Leuven Gravity Institute, KU Leuven"],"raw_orcid":"https://orcid.org/0000-0003-2166-0027","affiliations":[{"raw_affiliation_string":"KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics; Leuven Gravity Institute, KU Leuven","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033794708"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T10463","display_name":"Pulsars and Gravitational Waves Research","score":0.9980000257492065,"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":0.9980000257492065,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.00019999999494757503,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/power-spectral-density","display_name":"power spectral density","score":0.6729999780654907},{"id":"https://openalex.org/keywords/autoregressive-models","display_name":"autoregressive models","score":0.9419999718666077},{"id":"https://openalex.org/keywords/arma-models","display_name":"ARMA models","score":0.9819999933242798},{"id":"https://openalex.org/keywords/noise-spectrum","display_name":"noise spectrum","score":0.367000013589859},{"id":"https://openalex.org/keywords/advanced-ligo","display_name":"Advanced LIGO","score":0.7149999737739563},{"id":"https://openalex.org/keywords/advanced-virgo","display_name":"Advanced Virgo","score":0.9739999771118164},{"id":"https://openalex.org/keywords/kagra","display_name":"KAGRA","score":0.9869999885559082},{"id":"https://openalex.org/keywords/cosmic-explorer","display_name":"Cosmic Explorer","score":0.9340000152587891},{"id":"https://openalex.org/keywords/einstein-telescope","display_name":"Einstein Telescope","score":0.9940000176429749},{"id":"https://openalex.org/keywords/detector-sensitivity","display_name":"detector sensitivity","score":0.5199999809265137},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.800000011920929},{"id":"https://openalex.org/keywords/computational-cost","display_name":"computational cost","score":0.38100001215934753}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6389999985694885},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6315000057220459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5967000126838684},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.5526999831199646},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49869999289512634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49320000410079956},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.46939998865127563},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.4056999981403351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3528999984264374},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3260999917984009},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.25290000438690186},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23243285","doi":"https://doi.org/10.5281/zenodo.23243285","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23243285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.23243286","doi":"https://doi.org/10.5281/zenodo.23243286","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23243286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23243285","doi":"https://doi.org/10.5281/zenodo.23243285","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23243285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3151583402","https://openalex.org/W4221162190","https://openalex.org/W4313592288","https://openalex.org/W3106953450","https://openalex.org/W3133441087","https://openalex.org/W7128534198","https://openalex.org/W2997340871","https://openalex.org/W7149224342","https://openalex.org/W6949971123","https://openalex.org/W6931728762"],"abstract_inverted_index":{"Measured":[0],"results":[1,38],"behind":[2],"the":[3,5,9,15,34,37,58,91,128,130,137,146,189,203,207,220,223,231,246,251,253,256,268,271,314,318,328],"tables,":[4],"data":[6],"figures":[7],"and":[8,30,67,76,78,90,108,121,136,157,163,185,199,243,270,277,290,326,331],"numbers":[10,292],"quoted":[11],"from":[12,313],"them":[13,235],"in":[14,24,263],"paper":[16,43],"Choosing":[17],"a":[18,53,95,180,227],"generator":[19,151],"for":[20,98,287],"streaming":[21,48],"Gaussian":[22,49],"noise":[23,35,50,170],"gravitational-wave":[25],"mock":[26],"data:":[27],"accuracy,":[28],"cost":[29,92],"reproducibility,":[31],"together":[32],"with":[33,52,172],"spectra":[36],"were":[39,282],"computed":[40],"for.":[41],"The":[42,320],"compares":[44],"generators":[45],"of":[46,60,93,140,143,149,165,179,212,226,255],"long,":[47],"records":[51,219],"target":[54],"power":[55,209],"spectral":[56,210],"density:":[57],"crossfade":[59,191],"independent":[61],"frequency-domain":[62],"realizations":[63],"used":[64],"by":[65,284],"gwmock-noise":[66,247],"LALSimulation,":[68],"PyCBC's":[69],"reproducible":[70],"filtered":[71],"noise,":[72,252],"overlap-save":[73],"FIR":[74],"filtering,":[75],"autoregressive":[77],"ARMA":[79],"models.":[80],"It":[81],"reports":[82],"their":[83],"exact":[84,174,237],"covariance":[85,147,192],"error,":[86],"throughput,":[87,161],"retained":[88],"state":[89,164,184],"regenerating":[94],"segment":[96],"bit":[97],"bit,":[99],"across":[100],"Advanced":[101,103],"LIGO,":[102],"Virgo,":[104],"KAGRA,":[105],"Cosmic":[106],"Explorer":[107],"Einstein":[109],"Telescope":[110],"sensitivity":[111],"curves.":[112],"Files.":[113],"results.tar.gz":[114],"unpacks":[115],"into":[116],"results/":[117],"(191":[118],"JSON":[119],"files)":[120],"psd/":[122],"(16":[123],"spectrum":[124],"tables).":[125],"README.md":[126],"documents":[127],"layout,":[129],"fields":[131],"common":[132],"to":[133],"every":[134,150,166,299],"file":[135,218,300],"measured":[138,190,200,306],"quantities":[139],"each":[141,213],"kind":[142],"result.":[144],"results/exact/:":[145],"error":[148],"configuration,":[152,222,308],"per":[153],"spectrum,":[154],"band-edge":[155],"treatment":[156],"sampling":[158],"rate.":[159],"results/costs/:":[160],"memory":[162],"generator.":[167],"results/implementation/:":[168],"generated":[169,250],"compared":[171],"its":[173,182,194,334],"spectrum.":[175,214],"results/reproducibility.json:":[176],"bit-exact":[177],"regeneration":[178],"segment,":[181],"stored":[183],"rebuild":[186],"cost.":[187],"results/verification.json:":[188],"against":[193],"closed":[195],"form.":[196],"results/edge-leakage/:":[197],"predicted":[198],"coherence":[201],"near":[202],"band":[204],"edges.":[205],"psd/:":[206],"one-sided":[208],"density":[211],"Provenance.":[215],"Each":[216],"result":[217],"run":[221,229],"random":[224],"seeds":[225],"sampled":[228],"or":[230,310],"rule":[232],"that":[233,249,298,322],"derives":[234],"(the":[236],"errors":[238],"are":[239,293,343],"computed,":[240],"not":[241],"sampled,":[242],"have":[244],"none),":[245],"commit":[248,311],"revision":[254],"analysis":[257],"code":[258],"(with":[259],"no":[260,304,341],"uncommitted":[261],"changes":[262],"any":[264],"file),":[265],"library":[266],"versions,":[267],"hardware,":[269],"run's":[272,315],"wall":[273],"time,":[274],"CPU":[275],"time":[276],"peak":[278],"memory.":[279],"Run":[280],"labels":[281],"replaced":[283],"descriptive":[285],"ones":[286],"this":[288,324],"release,":[289],"non-finite":[291],"written":[294],"as":[295],"null":[296],"so":[297],"is":[301],"strict":[302],"JSON;":[303],"other":[305],"value,":[307],"seed":[309],"differs":[312],"output.":[316],"Reproducing":[317],"paper.":[319],"scripts":[321],"fetch":[323],"record":[325],"reproduce":[327],"paper's":[329],"tables":[330],"figures,":[332,338],"including":[333],"two":[335],"analytic":[336],"schematic":[337],"which":[339],"need":[340],"data,":[342],"at":[344],"github.com/isaac-cf-wong/noise-stitching-statistics-data.":[345]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-01T00:00:00"}
