{"id":"https://openalex.org/W7213437361","doi":"https://doi.org/10.48550/arxiv.2609.17131","title":"An effective topology-transfer nuisance for Genie-based neutrino-argon semi-inclusive analyses: a methodological proposal with MicroBooNE-constrained diagnostic","display_name":"An effective topology-transfer nuisance for Genie-based neutrino-argon semi-inclusive analyses: a methodological proposal with MicroBooNE-constrained diagnostic","publication_year":2026,"publication_date":"2026-09-15","ids":{"openalex":"https://openalex.org/W7213437361","doi":"https://doi.org/10.48550/arxiv.2609.17131"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.17131","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17131","pdf_url":"https://arxiv.org/pdf/2609.17131","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/2609.17131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107335978","display_name":"N. Viaux Maira","orcid":"https://orcid.org/0000-0002-5102-9140","observed_orcids":["https://orcid.org/0000-0002-5102-9140"]},"institutions":[{"id":"https://openalex.org/I4387153024","display_name":"Millennium Institute for Subatomic Physics at High-Energy Frontier, Saphir","ror":"https://ror.org/00rbe2516","country_code":"CL","type":"education","lineage":["https://openalex.org/I13897259","https://openalex.org/I162148367","https://openalex.org/I185652977","https://openalex.org/I2802531901","https://openalex.org/I4387153024","https://openalex.org/I74920221","https://openalex.org/I75778554"]},{"id":"https://openalex.org/I75778554","display_name":"Universidad T\u00e9cnica Federico Santa Mar\u00eda","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Viaux, Nicolas","raw_affiliation_strings":["Departamento de F\u00edsica , Universidad T\u00e9cnica Federico Santa Mar\u00eda , Valpara\u00edso , Chile , Casilla 110 V","Millennium Institute for Subatomic Physics at the High Energy Frontier (SAPHIR) , Santiago , Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de F\u00edsica , Universidad T\u00e9cnica Federico Santa Mar\u00eda , Valpara\u00edso , Chile , Casilla 110 V","institution_ids":["https://openalex.org/I75778554"]},{"raw_affiliation_string":"Millennium Institute for Subatomic Physics at the High Energy Frontier (SAPHIR) , Santiago , Chile","institution_ids":["https://openalex.org/I4387153024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107335978"],"corresponding_institution_ids":["https://openalex.org/I4387153024","https://openalex.org/I75778554"],"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/T10921","display_name":"Neutrino Physics Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10921","display_name":"Neutrino Physics Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T10048","display_name":"Particle physics theoretical and experimental studies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/T11044","display_name":"Particle Detector Development and Performance","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"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/proton-tagging","display_name":"proton tagging","score":0.5},{"id":"https://openalex.org/keywords/microboone","display_name":"MicroBooNE","score":0.8360000252723694},{"id":"https://openalex.org/keywords/differential-cross-section","display_name":"differential cross section","score":0.6639999747276306},{"id":"https://openalex.org/keywords/neutrino-oscillation-analysis","display_name":"neutrino oscillation analysis","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7020999789237976},{"id":"https://openalex.org/C194531419","wikidata":"https://www.wikidata.org/wiki/Q17104825","display_name":"Nuisance parameter","level":3,"score":0.5756000280380249},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5496000051498413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5214999914169312},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42829999327659607},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3885999917984009},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C2779244815","wikidata":"https://www.wikidata.org/wiki/Q1156462","display_name":"Nuisance","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C2778439541","wikidata":"https://www.wikidata.org/wiki/Q7106412","display_name":"Oscillation (cell signaling)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.321399986743927},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.3005000054836273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28619998693466187},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.2750000059604645},{"id":"https://openalex.org/C101454708","wikidata":"https://www.wikidata.org/wiki/Q17106019","display_name":"Standard Model (mathematical formulation)","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25760000944137573},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.25589999556541443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.17131","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17131","pdf_url":"https://arxiv.org/pdf/2609.17131","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.2609.17131","doi":"https://doi.org/10.48550/arxiv.2609.17131","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.17131","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:2609.17131","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.17131","pdf_url":"https://arxiv.org/pdf/2609.17131","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/W7213437361.pdf","grobid_xml":"https://content.openalex.org/works/W7213437361.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1539018469","https://openalex.org/W1965888463","https://openalex.org/W2059980294","https://openalex.org/W2064002508","https://openalex.org/W2064365774","https://openalex.org/W2070666537","https://openalex.org/W2105118134","https://openalex.org/W2105848305","https://openalex.org/W2125102738","https://openalex.org/W2148224189","https://openalex.org/W2168603275","https://openalex.org/W2462229190","https://openalex.org/W2526984592","https://openalex.org/W2555078507","https://openalex.org/W2579983429","https://openalex.org/W2613543453","https://openalex.org/W2625559578","https://openalex.org/W2914659348","https://openalex.org/W2949413839","https://openalex.org/W3004846710","https://openalex.org/W3154620325","https://openalex.org/W3202835204","https://openalex.org/W4221142180","https://openalex.org/W4234081474","https://openalex.org/W4394592160","https://openalex.org/W4399695762","https://openalex.org/W4403297445","https://openalex.org/W4407385315","https://openalex.org/W4409801403","https://openalex.org/W7005291491"],"related_works":["https://openalex.org/W842743958","https://openalex.org/W4283772089","https://openalex.org/W6967999246","https://openalex.org/W6966773217","https://openalex.org/W4365923575","https://openalex.org/W6968648780","https://openalex.org/W2954156801","https://openalex.org/W4310822213","https://openalex.org/W3173721080","https://openalex.org/W4225493891"],"abstract_inverted_index":{"Liquid-argon":[0],"TPC":[1],"oscillation":[2],"analyses":[3,234],"increasingly":[4],"split":[5],"samples":[6],"into":[7],"proton-tagged":[8],"(Np)":[9],"and":[10,130,189],"proton-less":[11],"(0p)":[12],"topologies":[13],"at":[14],"the":[15,21,102,114,144,183,221],"~35":[16],"MeV":[17],"tracking":[18],"threshold,":[19],"but":[20],"standard":[22],"GENIE":[23,54,229],"Reweight":[24],"library":[25],"has":[26],"no":[27,153],"dial":[28,230],"that":[29,44],"transfers":[30],"events":[31],"across":[32],"this":[33,46],"boundary.":[34],"We":[35],"propose":[36],"a":[37,49,64,91,99,120,140,200,215,227],"single":[38,95],"empirical":[39],"nuisance":[40,218],"parameter,":[41],"$f_{\\rm":[42,196],"mig}$,":[43],"fills":[45],"gap":[47],"as":[48,63,214,226],"per-event":[50],"reweight":[51],"on":[52,133,143,180],"nominal":[53],"output,":[55],"implementable":[56],"without":[57],"event":[58],"regeneration.":[59],"It":[60],"is":[61,111,139,211],"presented":[62],"methodological":[65],"diagnostic:":[66],"an":[67,72],"effective":[68,217],"topology-transfer":[69],"surrogate":[70],"absorbing":[71],"unspecified":[73],"combination":[74],"of":[75,93],"near-threshold":[76],"proton":[77],"mismodelling":[78],"effects":[79],"(proton-side":[80],"FSI,":[81],"nucleon-momentum":[82],"distribution,":[83],"RES":[84],"$Q^2$":[85],"shape,":[86],"MEC":[87],"kinematic":[88],"shape),":[89],"not":[90],"measurement":[92],"any":[94],"microscopic":[96],"mechanism.":[97],"As":[98],"reference":[100],"scale,":[101],"position-dependent":[103],"mean-field":[104],"energy":[105],"loss":[106],"absent":[107],"from":[108,113],"GENIE's":[109],"cascade":[110,129],"estimated":[112],"$^{40}$Ar":[115],"density":[116],"profile":[117],"to":[118],"be":[119],"few":[121],"percent,":[122],"consistent":[123],"with":[124,152],"proton-transparency":[125],"differences":[126],"reported":[127],"between":[128],"transport":[131],"generators":[132],"MicroBooNE":[134,145,222],"data.":[135],"The":[136,208],"primary":[137],"constraint":[138],"direct":[141],"scan":[142],"simultaneous":[146],"CC":[147],"0p/Np":[148],"differential":[149],"cross-section":[150],"release":[151],"sector-weight":[154,181,203],"regularisation:":[155],"$\\hat{f}_{\\rm":[156,175],"mig}":[157,176],"=":[158,177],"0.093":[159],"\\pm":[160],"0.024$,":[161],"$3.8\u03c3$":[162],"(Wilks)":[163],"/":[164],"$3.2\u03c3$":[165],"(empirical).":[166],"A":[167],"supporting":[168],"NC":[169],"$\u0394$":[170],"radiative":[171],"sideband":[172],"fit":[173],"gives":[174],"0.050^{+0.029}_{-0.022}$,":[178],"conditional":[179],"priors;":[182],"two":[184],"datasets":[185],"share":[186],"flux/detector":[187],"systematics":[188],"are":[190],"corroborating":[191],"rather":[192],"than":[193],"independent.":[194],"Introducing":[195],"mig}$":[197],"also":[198],"relieves":[199],"compensatory":[201],"CCRES":[202],"suppression":[204],"in":[205],"migration-blind":[206],"fits.":[207],"extracted":[209],"parameter":[210],"best":[212],"understood":[213],"flux-integrated":[216],"direction":[219],"for":[220,231],"BNB":[223],"configuration,":[224],"suitable":[225],"candidate":[228],"future":[232],"LArTPC":[233],"pending":[235],"detector-level":[236],"validation.":[237]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-17T00:00:00"}