{"id":"https://openalex.org/W7224090562","doi":"https://doi.org/10.1051/0004-6361/202662246","title":"Predicting computationally critical islands for survey-scale radio source finding with PyBDSF","display_name":"Predicting computationally critical islands for survey-scale radio source finding with PyBDSF","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224090562","doi":"https://doi.org/10.1051/0004-6361/202662246"},"language":"en","primary_location":{"id":"doi:10.1051/0004-6361/202662246","doi":"https://doi.org/10.1051/0004-6361/202662246","is_oa":true,"landing_page_url":"https://doi.org/10.1051/0004-6361/202662246","pdf_url":null,"source":{"id":"https://openalex.org/S205231332","display_name":"Astronomy and Astrophysics","issn_l":"0004-6361","issn":["0004-6361","1432-0746"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Astronomy &amp; Astrophysics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1051/0004-6361/202662246","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159995377","display_name":"Jie Cao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160029049","display_name":"Feng Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126848645","display_name":"Yangfan Xie","orcid":"https://orcid.org/0000-0003-0962-2861","observed_orcids":["https://orcid.org/0000-0003-0962-2861"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yangfan Xie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160049370","display_name":"Hui Deng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Deng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160006340","display_name":"Ying Mei","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Mei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160001760","display_name":"Jingying Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingying Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091448744","display_name":"O. Smirnov","orcid":"https://orcid.org/0000-0003-1680-7936","observed_orcids":["https://orcid.org/0000-0003-1680-7936"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oleg M. Smirnov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1650,"currency":"EUR","value_usd":1865},"apc_paid":{"value":1650,"currency":"EUR","value_usd":1865},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80507927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9794999957084656,"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/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9794999957084656,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.010200000368058681,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.0015999999595806003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task-prioritization","display_name":"task prioritization","score":0.7509999871253967},{"id":"https://openalex.org/keywords/radio-interferometry","display_name":"radio interferometry","score":0.3779999911785126},{"id":"https://openalex.org/keywords/lofar-two-metre-sky-survey","display_name":"LOFAR Two-metre Sky Survey","score":0.6710000038146973},{"id":"https://openalex.org/keywords/execution-time-prediction","display_name":"execution time prediction","score":0.3970000147819519}],"concepts":[{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.6473000049591064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5443000197410583},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5011000037193298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C23576306","wikidata":"https://www.wikidata.org/wiki/Q17004698","display_name":"Astronomical interferometer","level":3,"score":0.4560000002384186},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.430400013923645},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.365200012922287},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.2976999878883362},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25619998574256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1051/0004-6361/202662246","doi":"https://doi.org/10.1051/0004-6361/202662246","is_oa":true,"landing_page_url":"https://doi.org/10.1051/0004-6361/202662246","pdf_url":null,"source":{"id":"https://openalex.org/S205231332","display_name":"Astronomy and Astrophysics","issn_l":"0004-6361","issn":["0004-6361","1432-0746"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Astronomy &amp; Astrophysics","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/0004-6361/202662246","doi":null,"is_oa":false,"landing_page_url":"https://www.aanda.org/10.1051/0004-6361/202662246/pdf","pdf_url":"https://www.aanda.org/10.1051/0004-6361/202662246/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/0004-6361/202662246","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1051/0004-6361/202662246","doi":"https://doi.org/10.1051/0004-6361/202662246","is_oa":true,"landing_page_url":"https://doi.org/10.1051/0004-6361/202662246","pdf_url":null,"source":{"id":"https://openalex.org/S205231332","display_name":"Astronomy and Astrophysics","issn_l":"0004-6361","issn":["0004-6361","1432-0746"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-a","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Astronomy &amp; Astrophysics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3152130361","https://openalex.org/W2218995498","https://openalex.org/W6922335459","https://openalex.org/W3136252749","https://openalex.org/W2989278872","https://openalex.org/W2109127178","https://openalex.org/W7100023414","https://openalex.org/W2238093991","https://openalex.org/W17281815","https://openalex.org/W7097035394"],"abstract_inverted_index":{"Next-generation":[0],"radio":[1],"interferometers":[2],"require":[3],"increasingly":[4],"efficient":[5],"processing":[6],"of":[7,131,136,138,241],"large":[8],"image":[9,185],"datasets.":[10],"In":[11,142,165],"highly":[12],"parallel":[13],"source-finding":[14],"workflows,":[15],"a":[16,57,67,79,134],"few":[17],"computationally":[18],"expensive":[19],"PyBDSF":[20,109,115,166,242],"islands":[21,36,132],"can":[22,37,46],"dominate":[23],"the":[24,52,75,139,143,181,205,219],"fitting":[25,41,244,269],"critical":[26],"path":[27],"and":[28,42,73,119,157,183,193,215,286],"limit":[29],"end-to-end":[30],"throughput.":[31],"We":[32,55,84,94],"investigate":[33],"whether":[34,43],"such":[35],"be":[38],"identified":[39],"before":[40],"this":[44,87],"information":[45],"improve":[47,252],"survey-scale":[48],"throughput":[49],"without":[50,126],"changing":[51],"scientific":[53],"workflow.":[54],"predicted":[56],"90th-percentile":[58],"(Q90)":[59],"fitting-time":[60],"priority":[61],"from":[62,152,173,188,194,248],"pre-fitting":[63,249],"island":[64,243,268],"properties":[65,250],"using":[66],"histogram-based":[68],"gradient-boosting":[69],"quantile-regression":[70],"model":[71],"(HGBR-Q90)":[72],"supplied":[74],"learned":[76],"priorities":[77],"to":[78,86,154,162,175,190,196,204,232,251,272],"longest-processing-time":[80],"(LPT)-based":[81],"dispatch":[82],"mechanism.":[83],"refer":[85],"approach":[88],"as":[89,117],"computational":[90,238],"long-tail":[91],"prioritisation":[92,254,285],"(CLP).":[93],"evaluated":[95],"CLP":[96,147,281],"with":[97,107],"32":[98],"workers":[99],"on":[100,122,210,223,234],"1580":[101],"LoTSS":[102],"DR3":[103],"images,":[104],"compared":[105],"it":[106,113],"controlled":[108,144,220],"v1.13.0":[110,145],"baselines,":[111],"integrated":[112],"into":[114],"v1.14.1":[116],"v14-CLP,":[118],"tested":[120],"generalisation":[121],"five":[123,212],"external":[124,213],"datasets":[125,214],"retraining.":[127],"The":[128,237,258],"slowest":[129],"1%":[130],"contribute":[133],"median":[135,182],"72.2%":[137],"island-fitting":[140],"runtime.":[141],"benchmark,":[146],"reduces":[148,169,227],"accumulated":[149,170],"wall":[150,171,229,274],"time":[151,172,230],"265.85":[153],"169.23":[155],"h":[156,160],"saves":[158],"22.99":[159],"relative":[161,231],"deterministic":[163],"Weight-LPT.":[164],"v1.14.1,":[167],"v14-CLP":[168,225],"190.84":[174],"117.97":[176],"h,":[177],"or":[178],"38.2%,":[179],"while":[180],"95th-percentile":[184],"runtimes":[186],"decrease":[187],"314.98":[189],"202.67":[191],"s":[192],"1015.22":[195],"635.85":[197],"s.":[198],"Without":[199],"retraining,":[200],"B4":[201,233],"is":[202,216,245],"closer":[203],"measured-runtime":[206],"reference":[207],"than":[208],"B3":[209],"all":[211,235],"fastest":[217],"within":[218],"B1--B4":[221],"framework":[222],"four;":[224],"further":[226],"complete-workflow":[228],"five.":[236],"long":[239],"tail":[240],"sufficiently":[246],"predictable":[247],"task":[253,284],"at":[255],"survey":[256],"scale.":[257],"largest":[259],"gains":[260],"occur":[261],"for":[262],"task-rich,":[263],"long-tailed":[264],"workloads":[265],"in":[266],"which":[267],"contributes":[270],"materially":[271],"total":[273],"time.":[275],"Catalogue":[276],"outputs":[277],"remain":[278],"identical":[279],"because":[280],"changes":[282],"only":[283],"worker":[287],"assignment.":[288]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-10-29T00:00:00"}
