{"id":"https://openalex.org/W7213244191","doi":"https://doi.org/10.48550/arxiv.2609.14793","title":"Information-Loss Location Estimation and Curvature-Scale Analysis of Physical Measurements: A Gaussian, Cauchy, and Logistic Neutron-Lifetime Benchmark","display_name":"Information-Loss Location Estimation and Curvature-Scale Analysis of Physical Measurements: A Gaussian, Cauchy, and Logistic Neutron-Lifetime Benchmark","publication_year":2026,"publication_date":"2026-09-13","ids":{"openalex":"https://openalex.org/W7213244191","doi":"https://doi.org/10.48550/arxiv.2609.14793"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.14793","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.14793","pdf_url":"https://arxiv.org/pdf/2609.14793","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/2609.14793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056271278","display_name":"V. V. Golovko","orcid":"https://orcid.org/0000-0003-4605-7937","observed_orcids":["https://orcid.org/0000-0003-4605-7937"]},"institutions":[{"id":"https://openalex.org/I51057645","display_name":"Canadian Nuclear Laboratories","ror":"https://ror.org/014487k66","country_code":"CA","type":"other","lineage":["https://openalex.org/I51057645"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Golovko, Victor V.","raw_affiliation_strings":["Canadian Nuclear Laboratories , Chalk River , Ontario , Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canadian Nuclear Laboratories , Chalk River , Ontario , Canada","institution_ids":["https://openalex.org/I51057645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056271278"],"corresponding_institution_ids":["https://openalex.org/I51057645"],"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.448199987411499,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.448199987411499,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.18050000071525574,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T13500","display_name":"Probability and Statistical Research","score":0.1331000030040741,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kullback-leibler-divergence","display_name":"Kullback-Leibler divergence","score":0.890999972820282},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"cross-entropy","score":0.7670000195503235},{"id":"https://openalex.org/keywords/neutron-lifetime","display_name":"neutron lifetime","score":0.6140000224113464},{"id":"https://openalex.org/keywords/physical-measurements","display_name":"physical measurements","score":0.40400001406669617},{"id":"https://openalex.org/keywords/logistic-distribution","display_name":"logistic distribution","score":0.5899999737739563},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.996999979019165},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"normal distribution","score":0.9120000004768372},{"id":"https://openalex.org/keywords/uncertainty-estimation","display_name":"uncertainty estimation","score":0.46399998664855957},{"id":"https://openalex.org/keywords/inverse-variance-weighted","display_name":"inverse variance weighting","score":0.7580000162124634}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6129000186920166},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5778999924659729},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5676000118255615},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5180000066757202},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.41830000281333923},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C94465730","wikidata":"https://www.wikidata.org/wiki/Q589603","display_name":"Logistic distribution","level":3,"score":0.4016000032424927},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33000001311302185},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.30559998750686646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30140000581741333},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C144386022","wikidata":"https://www.wikidata.org/wiki/Q1332997","display_name":"Scale factor (cosmology)","level":5,"score":0.29809999465942383},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2872999906539917},{"id":"https://openalex.org/C180802074","wikidata":"https://www.wikidata.org/wiki/Q1052379","display_name":"Logistic function","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C18294631","wikidata":"https://www.wikidata.org/wiki/Q2621185","display_name":"Location parameter","level":3,"score":0.2709999978542328},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.14793","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.14793","pdf_url":"https://arxiv.org/pdf/2609.14793","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.2609.14793","doi":"https://doi.org/10.48550/arxiv.2609.14793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.14793","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.14793","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.14793","pdf_url":"https://arxiv.org/pdf/2609.14793","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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7213244191.pdf","grobid_xml":"https://content.openalex.org/works/W7213244191.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1806084073","https://openalex.org/W1965555277","https://openalex.org/W1972122010","https://openalex.org/W1979020717","https://openalex.org/W1984935883","https://openalex.org/W2005163609","https://openalex.org/W2011301426","https://openalex.org/W2026466164","https://openalex.org/W2041786086","https://openalex.org/W2043271288","https://openalex.org/W2046033161","https://openalex.org/W2075858685","https://openalex.org/W2094336964","https://openalex.org/W2108818539","https://openalex.org/W2117897510","https://openalex.org/W2150635737","https://openalex.org/W2169368306","https://openalex.org/W2414664470","https://openalex.org/W2775113030","https://openalex.org/W2800622346","https://openalex.org/W2963002078","https://openalex.org/W2963503457","https://openalex.org/W3003081253","https://openalex.org/W3003257820","https://openalex.org/W3035965352","https://openalex.org/W3104214414","https://openalex.org/W3205578901","https://openalex.org/W4311810098","https://openalex.org/W4401211033"],"related_works":["https://openalex.org/W2112440167","https://openalex.org/W2501080175","https://openalex.org/W38795399","https://openalex.org/W4237535805","https://openalex.org/W2378170458","https://openalex.org/W1422641879","https://openalex.org/W1730381148","https://openalex.org/W2531459538","https://openalex.org/W1593149137","https://openalex.org/W4242907130"],"abstract_inverted_index":{"We":[0,56],"develop":[1],"and":[2,60,67,116,149,155,168],"implement":[3,68],"a":[4,20,52,72,87,97,102,117,127,133,138,173],"two-step":[5],"location-scale":[6],"analysis":[7],"for":[8,132],"repeated":[9],"physical":[10],"measurements":[11,43,107],"when":[12],"the":[13,34,41,76,81,91,143,165],"underlying":[14],"distribution":[15],"is":[16],"not":[17,170],"known.":[18],"For":[19,75,105],"chosen":[21],"substitute":[22],"distribution,":[23],"stationarity":[24],"of":[25,164],"population":[26],"Kullback-Leibler":[27],"information":[28],"loss":[29],"at":[30],"fixed":[31],"scale":[32,54,88],"motivates":[33],"location":[35,84],"score,":[36],"which":[37],"we":[38,79],"apply":[39],"to":[40,126,137],"observed":[42],"through":[44],"empirical":[45],"cross-entropy.":[46],"Steiner's":[47],"curvature":[48,92,114],"rule":[49,93],"then":[50],"defines":[51],"companion":[53],"separately.":[55],"place":[57],"Gaussian,":[58],"Cauchy,":[59],"logistic":[61,77,150],"substitutes":[62],"in":[63],"one":[64],"common":[65],"construction":[66],"them":[69],"reproducibly":[70],"on":[71],"physics":[73],"benchmark.":[74],"substitute,":[78],"pair":[80],"established":[82],"bounded":[83],"score":[85],"with":[86,108],"defined":[89],"by":[90,96],"rather":[94],"than":[95],"fitted":[98],"tuning":[99],"constant":[100],"or":[101],"scale-likelihood":[103],"equation.":[104],"Gaussian":[106],"different":[109],"quoted":[110],"uncertainties,":[111],"an":[112,122],"experiment-level":[113],"convention":[115],"stated":[118],"variance":[119,130],"mapping":[120],"give":[121],"exact":[123],"algebraic":[124],"connection":[125],"standard":[128],"residual-based":[129],"estimate":[131],"weighted":[134],"fit.":[135],"Applied":[136],"published":[139],"21-measurement":[140],"neutron-lifetime":[141],"compilation,":[142],"inverse-variance":[144],"weighted,":[145],"most":[146],"frequent":[147],"value,":[148],"locations":[151],"are":[152,161,169],"878.689,":[153],"881.164,":[154],"882.835":[156],"s,":[157],"respectively.":[158],"These":[159],"values":[160],"benchmark":[162],"results":[163],"compared":[166],"constructions":[167],"proposed":[171],"as":[172],"new":[174],"recommended":[175],"neutron":[176],"lifetime.":[177]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-16T00:00:00"}
