{"id":"https://openalex.org/W7161737811","doi":"https://doi.org/10.48550/arxiv.2605.17635","title":"ML-based Fast Simulation of FARICH Responses","display_name":"ML-based Fast Simulation of FARICH Responses","publication_year":2026,"publication_date":"2026-05-17","ids":{"openalex":"https://openalex.org/W7161737811","doi":"https://doi.org/10.48550/arxiv.2605.17635"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17635","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.17635","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093228307","display_name":"F. Shipilov","orcid":"https://orcid.org/0009-0000-4521-3219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shipilov, Foma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136486561","display_name":"Alexander Barnyakov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barnyakov, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004029593","display_name":"\u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440 \u0411\u043e\u0431\u0440\u043e\u0432\u043d\u0438\u043a\u043e\u0432","orcid":"https://orcid.org/0000-0002-1444-7722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivanov, Artem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136492425","display_name":"Artem Ivanov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ratnikov, Fedor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.4212000072002411,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"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/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.4212000072002411,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"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":0.16380000114440918,"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":0.07540000230073929,"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/detector","display_name":"Detector","score":0.7962999939918518},{"id":"https://openalex.org/keywords/cherenkov-radiation","display_name":"Cherenkov radiation","score":0.4487999975681305},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4372999966144562},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4180999994277954},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.39809998869895935},{"id":"https://openalex.org/keywords/photon","display_name":"Photon","score":0.3749000132083893},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.36309999227523804},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.3617999851703644}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7962999939918518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5561000108718872},{"id":"https://openalex.org/C72591435","wikidata":"https://www.wikidata.org/wiki/Q192457","display_name":"Cherenkov radiation","level":3,"score":0.4487999975681305},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44690001010894775},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4390999972820282},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4372999966144562},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C159317903","wikidata":"https://www.wikidata.org/wiki/Q3198","display_name":"Photon","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.36309999227523804},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.3617999851703644},{"id":"https://openalex.org/C2779510917","wikidata":"https://www.wikidata.org/wiki/Q7140498","display_name":"Particle identification","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.33239999413490295},{"id":"https://openalex.org/C124888863","wikidata":"https://www.wikidata.org/wiki/Q2985199","display_name":"Cherenkov detector","level":4,"score":0.33219999074935913},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2856000065803528},{"id":"https://openalex.org/C91757755","wikidata":"https://www.wikidata.org/wiki/Q11121294","display_name":"Simulation software","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C183680338","wikidata":"https://www.wikidata.org/wiki/Q736634","display_name":"Particle detector","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17635","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17635","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17635","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7814985513687134}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"fast":[1,37],"simulation":[2,25,38],"of":[3,21,39,62],"the":[4,19,40,55,66,84,94,109],"detector":[5,47,67,86],"response":[6,87],"is":[7,57],"a":[8,33,50,71,78,97,120],"vital":[9],"task":[10],"in":[11],"high-energy":[12],"physics":[13,24],"(HEP).":[14],"Traditional":[15],"Monte-Carlo":[16,124],"methods":[17],"form":[18],"backbone":[20],"modern":[22],"particle":[23,51,90],"software":[26],"but":[27],"are":[28],"computationally":[29],"expensive.":[30],"We":[31,69,92],"present":[32],"machine-learning-based":[34],"approach":[35],"to":[36,58,104,108],"Focusing":[41],"Aerogel":[42],"Ring":[43],"Imaging":[44],"Cherenkov":[45],"(FARICH)":[46],"response.":[48],"Given":[49],"track":[52],"and":[53,107,118],"momentum,":[54],"goal":[56],"generate":[59],"realistic":[60,116],"samples":[61,117],"photon":[63],"hits":[64],"on":[65,89],"matrix.":[68],"propose":[70],"conditional":[72],"Generative":[73],"Adversarial":[74],"Network":[75],"(cGAN)":[76],"with":[77],"lightweight":[79],"convolutional":[80],"architecture":[81],"that":[82],"reproduces":[83],"projected":[85],"conditioned":[88],"parameters.":[91],"compare":[93],"cGAN":[95,114],"against":[96],"linear":[98],"statistical":[99],"baseline":[100],"using":[101],"metrics":[102],"applied":[103],"probability":[105],"maps":[106],"reconstructed":[110],"velocity":[111],"distributions.":[112],"The":[113],"produces":[115],"provides":[119],"significant":[121],"speed-up":[122],"over":[123],"simulation.":[125]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
