{"id":"https://openalex.org/W4289139400","doi":"https://doi.org/10.25080/majora-212e5952-00f","title":"Pylira: deconvolution of images in the presence of Poisson noise","display_name":"Pylira: deconvolution of images in the presence of Poisson noise","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289139400","doi":"https://doi.org/10.25080/majora-212e5952-00f"},"language":"en","primary_location":{"id":"doi:10.25080/majora-212e5952-00f","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-212e5952-00f","pdf_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/donath.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/donath.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087561903","display_name":"Axel Donath","orcid":"https://orcid.org/0000-0003-4568-7005"},"institutions":[{"id":"https://openalex.org/I4210124175","display_name":"Center for Astrophysics Harvard & Smithsonian","ror":"https://ror.org/03c3r2d17","country_code":"US","type":"education","lineage":["https://openalex.org/I103187081","https://openalex.org/I136199984","https://openalex.org/I4210124175"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Axel Donath","raw_affiliation_strings":["Center for Astrophysics | Harvard & Smithsonian"],"raw_orcid":"https://orcid.org/0000-0003-4568-7005","affiliations":[{"raw_affiliation_string":"Center for Astrophysics | Harvard & Smithsonian","institution_ids":["https://openalex.org/I4210124175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037054463","display_name":"Aneta Siemiginowska","orcid":"https://orcid.org/0000-0002-0905-7375"},"institutions":[{"id":"https://openalex.org/I4210124175","display_name":"Center for Astrophysics Harvard & Smithsonian","ror":"https://ror.org/03c3r2d17","country_code":"US","type":"education","lineage":["https://openalex.org/I103187081","https://openalex.org/I136199984","https://openalex.org/I4210124175"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aneta Siemiginowska","raw_affiliation_strings":["Center for Astrophysics | Harvard & Smithsonian"],"raw_orcid":"https://orcid.org/0000-0002-0905-7375","affiliations":[{"raw_affiliation_string":"Center for Astrophysics | Harvard & Smithsonian","institution_ids":["https://openalex.org/I4210124175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013708068","display_name":"V. Kashyap","orcid":"https://orcid.org/0000-0002-3869-7996"},"institutions":[{"id":"https://openalex.org/I4210124175","display_name":"Center for Astrophysics Harvard & Smithsonian","ror":"https://ror.org/03c3r2d17","country_code":"US","type":"education","lineage":["https://openalex.org/I103187081","https://openalex.org/I136199984","https://openalex.org/I4210124175"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinay Kashyap","raw_affiliation_strings":["Center for Astrophysics | Harvard & Smithsonian"],"raw_orcid":"https://orcid.org/0000-0002-3869-7996","affiliations":[{"raw_affiliation_string":"Center for Astrophysics | Harvard & Smithsonian","institution_ids":["https://openalex.org/I4210124175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035705826","display_name":"D. J. Burke","orcid":"https://orcid.org/0000-0003-4428-7835"},"institutions":[{"id":"https://openalex.org/I4210124175","display_name":"Center for Astrophysics Harvard & Smithsonian","ror":"https://ror.org/03c3r2d17","country_code":"US","type":"education","lineage":["https://openalex.org/I103187081","https://openalex.org/I136199984","https://openalex.org/I4210124175"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Burke","raw_affiliation_strings":["Center for Astrophysics | Harvard & Smithsonian"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Astrophysics | Harvard & Smithsonian","institution_ids":["https://openalex.org/I4210124175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016116261","display_name":"Karthik Solipuram","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Solipuram","raw_affiliation_strings":["University of Maryland Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038831857","display_name":"David A. van Dyk","orcid":"https://orcid.org/0000-0002-0816-331X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David van Dyk","raw_affiliation_strings":["Imperial College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087561903"],"corresponding_institution_ids":["https://openalex.org/I4210124175"],"apc_list":null,"apc_paid":null,"fwci":0.3558,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48995395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11484","display_name":"Adaptive optics and wavefront sensing","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/deconvolution","display_name":"Deconvolution","score":0.8487051725387573},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7343670129776001},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5700249075889587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393267869949341},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.5337458848953247},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.5329704284667969},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.5041207075119019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48926278948783875},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4473971128463745},{"id":"https://openalex.org/keywords/angular-resolution","display_name":"Angular resolution (graph drawing)","score":0.4301450252532959},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41511625051498413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4125477075576782},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.410993367433548},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3940804898738861},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36196428537368774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31232887506484985},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.30140864849090576},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2513341009616852},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2221025824546814},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.22169721126556396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13946664333343506},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08562320470809937}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8487051725387573},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7343670129776001},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5700249075889587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393267869949341},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.5337458848953247},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.5329704284667969},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.5041207075119019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48926278948783875},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4473971128463745},{"id":"https://openalex.org/C133848361","wikidata":"https://www.wikidata.org/wiki/Q4764027","display_name":"Angular resolution (graph drawing)","level":2,"score":0.4301450252532959},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41511625051498413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4125477075576782},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.410993367433548},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3940804898738861},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36196428537368774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31232887506484985},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.30140864849090576},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2513341009616852},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2221025824546814},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.22169721126556396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13946664333343506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08562320470809937},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.25080/majora-212e5952-00f","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-212e5952-00f","pdf_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/donath.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:mdsoar.org:11603/26119","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26119","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2jqm5-w9tu","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2jqm5-w9tu","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.25080/majora-212e5952-00f","is_oa":true,"landing_page_url":"https://doi.org/10.25080/majora-212e5952-00f","pdf_url":"http://conference.scipy.org/proceedings/scipy2022/pdfs/donath.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Python in Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G100874946","display_name":null,"funder_award_id":"DMS-21-13615","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1890115420","display_name":null,"funder_award_id":"873089","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2116710194","display_name":null,"funder_award_id":"NAS8-03060","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G213964246","display_name":null,"funder_award_id":"H2020-MSCA-RISE","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2928114056","display_name":null,"funder_award_id":"MSCA-RISE-2019","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3345895242","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3477743816","display_name":null,"funder_award_id":"H2020-MSCA-RISE","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3825557149","display_name":null,"funder_award_id":"H2020-MSCA-RISE-2019-873089","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4626379773","display_name":null,"funder_award_id":"NAS8-03060","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5045220161","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7550895360","display_name":null,"funder_award_id":"DMS-21-13605","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7703999403","display_name":"DMS-EPSRC Collaborative Research: Advancing Statistical Foundations and Frontiers from and for Emerging Astronomical Data Challenges","funder_award_id":"EP/W015080/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8152684609","display_name":null,"funder_award_id":"H2020-MSCA-RISE-2019","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8367957132","display_name":null,"funder_award_id":"MSCA-RISE-2019","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8493109902","display_name":null,"funder_award_id":"NAS8-03060","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8512683158","display_name":null,"funder_award_id":"H2020-MSCA","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8821442135","display_name":null,"funder_award_id":"873089","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8863587386","display_name":null,"funder_award_id":"18-APRA18-0019","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"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/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289139400.pdf","grobid_xml":"https://content.openalex.org/works/W4289139400.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1613559169","https://openalex.org/W1639138863","https://openalex.org/W1981030602","https://openalex.org/W1987319691","https://openalex.org/W1998588648","https://openalex.org/W2011301426","https://openalex.org/W2015159529","https://openalex.org/W2059639161","https://openalex.org/W2088909704","https://openalex.org/W2138309709","https://openalex.org/W2148153495","https://openalex.org/W2170608748","https://openalex.org/W2582743722","https://openalex.org/W2888532099","https://openalex.org/W3099878876","https://openalex.org/W3102230680"],"related_works":["https://openalex.org/W2369528593","https://openalex.org/W2385629811","https://openalex.org/W2111510641","https://openalex.org/W2638735979","https://openalex.org/W2386795888","https://openalex.org/W1968995436","https://openalex.org/W2382389562","https://openalex.org/W2054875742","https://openalex.org/W3088486721","https://openalex.org/W1656055395"],"abstract_inverted_index":{"All":[0],"physical":[1],"and":[2,16,36,79,93,105,126,180],"astronomical":[3],"imaging":[4],"observations":[5],"are":[6,34],"degraded":[7],"by":[8,27,37,62,118],"the":[9,14,22,31,38,44,54,69,73,80,110,135,142,161,166,175],"finite":[10],"angular":[11],"resolution":[12],"of":[13,21,40,46,103,121,141,165],"camera":[15],"telescope":[17],"systems.":[18],"The":[19],"recovery":[20],"true":[23],"image":[24,55,144],"is":[25,134],"limited":[26],"both":[28],"how":[29],"well":[30,185],"instrument":[32],"characteristics":[33],"known":[35],"magnitude":[39],"measurement":[41],"noise.":[42],"In":[43,148],"case":[45],"a":[47,153,182],"high":[48],"signal":[49,82],"to":[50,83,100,169],"noise":[51,84,104],"ratio":[52],"data,":[53],"can":[56,115],"be":[57,116],"sharpened":[58],"or":[59],"\"deconvolved\"":[60],"robustly":[61],"using":[63],"established":[64],"standard":[65],"methods":[66],"such":[67,86],"as":[68,87,184,186],"Richardson-Lucy":[70],"method.":[71],"However,":[72,109],"situation":[74],"changes":[75],"for":[76],"sparse":[77],"data":[78],"low":[81],"regime,":[85],"those":[88],"frequently":[89],"encountered":[90],"in":[91,112],"X-ray":[92],"gamma-ray":[94],"astronomy,":[95],"where":[96],"deconvolution":[97],"leads":[98],"inevitably":[99],"an":[101],"amplification":[102],"poorly":[106],"reconstructed":[107,143],"images.":[108],"results":[111],"this":[113,149],"regime":[114],"improved":[117],"making":[119],"use":[120],"physically":[122],"meaningful":[123],"prior":[124],"assumptions":[125],"statistically":[127],"principled":[128],"modeling":[129],"techniques.":[130],"One":[131],"proposed":[132],"method":[133],"LIRA":[136,167],"algorithm,":[137],"which":[138,159],"requires":[139],"smoothness":[140],"at":[145],"multiple":[146],"scales.":[147],"contribution,":[150],"we":[151],"introduce":[152],"new":[154],"python":[155],"package":[156,176],"called":[157],"Pylira,":[158],"exposes":[160],"original":[162],"C":[163],"implementation":[164],"algorithm":[168],"Python":[170],"users.":[171],"We":[172],"briefly":[173],"describe":[174],"structure,":[177],"development":[178],"setup":[179],"show":[181],"Chandra":[183],"Fermi-LAT":[187],"analysis":[188],"example.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
