{"id":"https://openalex.org/W7214999959","doi":"https://doi.org/10.48550/arxiv.2609.35966","title":"SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging","display_name":"SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging","publication_year":2026,"publication_date":"2026-09-28","ids":{"openalex":"https://openalex.org/W7214999959","doi":"https://doi.org/10.48550/arxiv.2609.35966"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.35966","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35966","pdf_url":"https://arxiv.org/pdf/2609.35966","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/2609.35966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153602902","display_name":"Shunyuan Mao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mao, Shunyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153639708","display_name":"Andrea Isella","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isella, Andrea","raw_affiliation_strings":["Department of Physics and Astronomy , Rice University , 6100 Main St , Houston , TX 77005 , USA","Rice Space Institute , Rice University , 6100 Main St , Houston , TX 77005 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy , Rice University , 6100 Main St , Houston , TX 77005 , USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Space Institute , Rice University , 6100 Main St , Houston , TX 77005 , USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002562845","display_name":"Paris G. Perdikaris","orcid":"https://orcid.org/0000-0002-2816-3229","observed_orcids":["https://orcid.org/0000-0002-2816-3229","https://orcid.org/0000-0002-7721-6884","https://orcid.org/0000-0001-8042-8354"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Perdikaris, Paris","raw_affiliation_strings":["Department of Mechanical Engineering and Applied Mechanics , University of Pennsylvania , 220 S 33rd St , Philadelphia , PA 19104 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering and Applied Mechanics , University of Pennsylvania , 220 S 33rd St , Philadelphia , PA 19104 , USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070740417","display_name":"L-T. Lo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lo, Li-Ta","raw_affiliation_strings":["Computing and Artificial Intelligence Division , Los Alamos National Laboratory , Los Alamos , NM 87545 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Artificial Intelligence Division , Los Alamos National Laboratory , Los Alamos , NM 87545 , USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153632568","display_name":"Hui Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li, Hui","raw_affiliation_strings":["Theoretical Division , Los Alamos National Laboratory , Los Alamos , NM 87545 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Theoretical Division , Los Alamos National Laboratory , Los Alamos , NM 87545 , USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9990000128746033,"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":0.9990000128746033,"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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.0003000000142492354,"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/T10477","display_name":"Astrophysics and Star Formation Studies","score":9.999999747378752e-05,"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/radio-interferometry","display_name":"radio interferometry","score":0.777999997138977},{"id":"https://openalex.org/keywords/radio-imaging","display_name":"radio imaging","score":0.5550000071525574},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.6850000023841858},{"id":"https://openalex.org/keywords/alma","display_name":"ALMA","score":0.6399999856948853},{"id":"https://openalex.org/keywords/pds-70","display_name":"PDS 70","score":0.9819999933242798}],"concepts":[{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.6226999759674072},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6121000051498413},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.510200023651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48539999127388},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47540000081062317},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4138000011444092},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.39309999346733093},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.365200012922287},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.36419999599456787},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.36309999227523804},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3465000092983246},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33000001311302185},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3043999969959259},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C193212914","wikidata":"https://www.wikidata.org/wiki/Q7537571","display_name":"Sky brightness","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C68709404","wikidata":"https://www.wikidata.org/wiki/Q1134475","display_name":"Flux (metallurgy)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.35966","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35966","pdf_url":"https://arxiv.org/pdf/2609.35966","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.2609.35966","doi":"https://doi.org/10.48550/arxiv.2609.35966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.35966","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.35966","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.35966","pdf_url":"https://arxiv.org/pdf/2609.35966","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/G2682241146","display_name":"GUIDING QUESTION: HOW TO ACQUIRE  SUSTAIN  AND NURTURE LIFE-ESSENTIAL CHEMICAL INGREDIENTS ON THE SURFACE OF ROCKY PLANETS? BUILDING A HABITABLE ENVIRONMENT ON INNER SOLAR SYSTEM ROCKY SURFACES REQUIRES THE LIFE-ESSENTIAL CHEMICAL INGREDIENTS (C  N  O  H  S  AND P) TO JOURNEY THROUGH A SERIES OF ASTRONOMICAL  PLANETARY  GEOLOGICAL  AND GEOCHEMICAL PROCESSES DURING PLANET FORMATION AND EARLY PLANETARY EVOLUTION. HOWEVER  IN MOST STUDIES ONLY ONE OR FEW OF THESE STEPS ARE INVESTIGATED IN ISOLATION AS CONDITIONS OF HABITABILITY AND THE CONSEQUENCES OF MULTIPLE PATHWAYS THAT MAY BE FEASIBLE ARE NOT RIGOROUSLY EXPLORED. SIMILARLY  MOST STUDIES TRACKING THE IMPACT OF PREBIOTIC PROCESSES CONSIDERED THE ORIGIN OF WATER ALONE  AND COMPREHENSIVE STUDIES ON A COMBINATION OF LIFE-ESSENTIAL ELEMENTS ARE LACKING. IN ORDER TO EVALUATE THE PATHWAYS THAT MAY LEAD TO EARLY HABITABLE CONDITIONS IN MULTIPLE PLANETARY SURFACES BUT SUSTENANCE ONLY IN A SUBSET  AN INTERDISCIPLINARY APPROACH TO STUDY THE EARLY CYCLES OF ALL KEY INGREDIENTS ARE NECESSARY. THIS CAN 8 NAI NODE PROPOSAL AIMS TO CONSTRAIN THE PATHWAYS THAT LEAD TO THE ACQUISITION  SUSTENANCE  AND NURTURING OF THE LIFE-ESSENTIAL CHEMICAL ELEMENTS AT THE SURFACE AND NEAR-SURFACE ENVIRONMENTS OF ROCKY  DIFFERENTIATED PLANETARY BODIES LEADING TO HABITABILITY AND POTENTIALLY DRIVING THE FORMATION OF PREBIOTICALLY-RELEVANT ORGANIC MOLECULE PRECURSORS WITHIN THE FIRST BILLION YEARS OF A PLANET S EVOLUTION. OUR TEAM MEMBERS BRING EXTENSIVE EXPERTISE IN ASTROPHYSICS  GEOLOGY  GEOCHEMISTRY  GEOPHYSICS  FLUID AND ATMOSPHERIC DYNAMICS  CLIMATE SCIENCE  AND ORGANIC CHEMISTRY; AN OVERARCHING GOAL IS TO TRACE THE LIFE-ESSENTIAL ELEMENTS FROM PROTOPLANETARY DISKS TO EARLY PREBIOTIC MOLECULES ON THE SURFACES OF ROCKY PLANETS  WITH A PARTICULAR EMPHASIS ON THE FEEDBACKS AMONG INTERIOR  SURFACE  AND ATMOSPHERIC PROCESSES. WE WILL USE OBSERVATIONS FROM OUR OWN SOLAR SYSTEM IN TERMS OF COMPARATIVE PLANETOLOGY BUT WILL ALSO CONSTRUCT POSSIBLE PATHWAYS THAT MAY LEAD TO THERMO-CHEMICAL HABITABILITY  WHICH CAN BE UTILIZED FOR EXPLORATION OF OTHER SOLAR SYSTEMS IN SEARCH FOR LIFE. THE PROPOSED RESEARCH COMPLEMENTS THE ACTIVITIES OF THE CAN 7 TEAMS BECAUSE NONE OF THE CURRENT TEAMS ARE INVESTIGATING THE CYCLES OF THE KEY INGREDIENTS DURING DIFFERENTIATION AND EARLY TECTONO-MAGMATIC AND GEOCHEMICAL EVOLUTION OF ROCKY PLANETS. OUR PROPOSAL WILL BRING IN THE UNIQUE INTERDISCIPLINARY PERSPECTIVE OF CYCLES OF KEY INGREDIENTS OF LIFE THROUGH DEEP TIME FROM GEOLOGIC  PLANETARY  GEOPHYSICAL  AND GEOCHEMICAL PERSPECTIVES. GIVEN THE INTERDEPENDENT NATURE OF THE PROPOSED ACTIVITIES AMONG SEEMINGLY DISPARATE FIELDS OF RESEARCH  THE SCOPE OF THIS PROPOSAL CAN ONLY BE SUPPORTED THROUGH AN  INSTITUTE WITHOUT WALLS . RELEVANCE TO THE GOALS OF THE ASTROBIOLOGY PROGRAM: THE PROPOSED INVESTIGATION IS RELEVANT FOR SEVERAL OF THE GOALS OF THE ASTROBIOLOGY PROGRAM AS OUTLINED IN THE 2015 STRATEGY INCLUDING THE CENTRAL THEMES OF  CONSTRUCTING HABITABLE WORLDS  AND  IDENTIFYING  EXPLORING  AND CHARACTERIZING ENVIRONMENTS FOR HABITABILITY AND BIOSIGNATURES . OUR PROPOSAL WILL DIRECTLY ADDRESS QUESTIONS SUCH AS  HOW DOES THE STORY OF EARTH  IN PARTICULAR IT S PAST INFORM US ABOUT HOW THE CLIMATES  ATMOSPHERIC COMPOSITIONS  INTERIORS  AND BIOSPHERES OF PLANETS CAN CO-EVOLVE?  BECAUSE OUR TEAM WILL STUDY THE INTERACTIONS OF INTERIOR  ATMOSPHERE  AND CLIMATE IN THE FIRST BILLION YEARS OF A ROCKY PLANETS EVOLUTION  KEEPING IN MIND THE HISTORY OF THE EARTH AS AN ANALOG. OUR PROPOSAL WILL ALSO DIRECTLY ADDRESS QUESTIONS SUCH AS WHAT ARE THE FUNDAMENTAL INGREDIENTS AND PROCESSES THAT DEFINE A HABITABLE ENVIRONMENT?  BECAUSE WE WILL TRACK THE FATE OF THE LIFE-ESSENTIAL ELEMENTS THROUGH THE FUNDAMENTAL PROCESSES OF PLANET FORMATION AND EARLY GEOLOGIC AND BIOGEOCHEMICAL EVOLUTION WITH THE GOAL OF OUTLINING POSSIBLE PATHS THAT ARE OR ARE NOT FAVORABLE IN FINALLY HARBORING THE COHNSP SPECIES AT THE PLANETARY SURFACES.","funder_award_id":"80NSSC18K0828","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G963450986","display_name":null,"funder_award_id":"FES-ERCAP-m4239","funder_id":"https://openalex.org/F4320317220","funder_display_name":"National Energy Research Scientific Computing Center"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320317220","display_name":"National Energy Research Scientific Computing Center","ror":"https://ror.org/05v3mvq14"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214999959.pdf","grobid_xml":"https://content.openalex.org/works/W7214999959.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2152927766","https://openalex.org/W2594279543","https://openalex.org/W2600783855","https://openalex.org/W2792287754","https://openalex.org/W2908510526","https://openalex.org/W2952361171","https://openalex.org/W4407123094","https://openalex.org/W6912460228","https://openalex.org/W7080139423","https://openalex.org/W7128521104","https://openalex.org/W7211901422"],"related_works":["https://openalex.org/W7119538902","https://openalex.org/W4297005791","https://openalex.org/W4368348172","https://openalex.org/W2135495672","https://openalex.org/W4405433437","https://openalex.org/W4299444927","https://openalex.org/W2108960230","https://openalex.org/W4224279096","https://openalex.org/W1949632789","https://openalex.org/W7125489563"],"abstract_inverted_index":{"Radio-interferometric":[0],"images":[1,172],"are":[2,160],"reconstructed":[3],"from":[4,91,235],"sparsely":[5],"sampled":[6],"visibilities,":[7],"and":[8,18,41,69,150],"CLEAN-based":[9],"imaging":[10],"can":[11,27],"struggle":[12],"with":[13,107,120,192],"spatial":[14,81],"filtering,":[15],"complex":[16],"morphologies,":[17],"uncertainty":[19,115],"quantification.":[20],"Alternative":[21],"methods":[22],"that":[23,59],"fit":[24],"visibilities":[25,72,93,238],"directly":[26],"address":[28],"some":[29],"of":[30,38,67,182],"these":[31],"limitations":[32],"but":[33],"often":[34],"require":[35],"manual":[36],"choices":[37],"image":[39,76,166,223,233],"priors":[40],"model":[42,209,216],"hyperparameters.":[43],"We":[44],"present":[45],"SIFARI":[46,134,185,205,222],"(Self-Supervised":[47],"Interferometric":[48],"Fitting":[49],"for":[50,210],"Astronomical":[51],"Radio":[52],"Imaging),":[53],"a":[54,64,121,207],"self-supervised":[55],"neural":[56],"network":[57,100,105],"workflow":[58],"represents":[60],"sky":[61,208],"brightness":[62,114],"as":[63],"continuous":[65],"function":[66],"position":[68],"fits":[70,101],"measured":[71],"without":[73,239],"an":[74,136],"external":[75],"training":[77],"set":[78],"or":[79],"explicit":[80],"regularizer.":[82],"An":[83],"empirical":[84],"rule":[85],"sets":[86],"the":[87,92,99,145,169,187,197,214,231,236],"Fourier":[88],"feature":[89],"scale":[90],"before":[94],"training,":[95],"controlling":[96],"how":[97],"readily":[98],"fine":[102],"structure.":[103],"Sampling":[104],"weights":[106],"Stochastic":[108],"Weight":[109],"Averaging-Gaussian":[110],"(SWAG)":[111],"gives":[112],"approximate":[113],"estimates,":[116],"which":[117],"we":[118],"combine":[119],"thermal-noise":[122],"floor":[123],"to":[124,179],"construct":[125],"spatially":[126],"resolved":[127],"signal-to-noise":[128],"maps.":[129],"In":[130],"synthetic":[131],"ALMA":[132,180],"tests,":[133],"yields":[135],"effective":[137],"point-source":[138],"response":[139],"about":[140],"eight":[141],"times":[142],"narrower":[143],"than":[144,155,168,230],"natural-weighting":[146],"CLEAN":[147,156,171,215,232],"restoring":[148],"beam":[149],"recovers":[151,186],"more":[152],"extended":[153],"flux":[154],"when":[157],"short":[158],"baselines":[159],"missing.":[161],"It":[162],"also":[163],"achieves":[164],"higher":[165],"fidelity":[167],"restored":[170],"in":[173,196],"all":[174],"three":[175],"morphology":[176],"benchmarks.":[177],"Applied":[178],"observations":[181],"PDS":[183],"70,":[184],"bright":[188],"outer":[189],"ring":[190],"together":[191],"faint":[193],"compact":[194],"emission":[195],"central":[198],"cavity.":[199],"For":[200],"long-baseline-only":[201],"WISPIT":[202],"2":[203],"data,":[204],"supplies":[206],"phase":[211],"self-calibration":[212],"where":[213],"is":[217],"inadequate.":[218],"The":[219],"restored,":[220],"self-calibrated":[221],"has":[224],"approximately":[225],"30%":[226],"lower":[227],"RMS":[228],"noise":[229],"made":[234],"original":[237],"self-calibration.":[240]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-01T00:00:00"}
