{"id":"https://openalex.org/W6983119207","doi":null,"title":"Leveraging physics foundation models to predict the evolution of particle jets","display_name":"Leveraging physics foundation models to predict the evolution of particle jets","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6983119207"},"language":"en","primary_location":{"id":"pmh:oai:www.theseus.fi:10024/891968","doi":null,"is_oa":true,"landing_page_url":"http://www.theseus.fi/handle/10024/891968","pdf_url":"http://www.theseus.fi/bitstream/10024/891968/2/Cordruwisch_Tom.pdf","source":{"id":"https://openalex.org/S4306400928","display_name":"Theseus (Ammattikorkeakoulujen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"fi=AMK-opinn\u00e4ytety\u00f6|sv=YH-examensarbete|en=Bachelor's thesis|"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.theseus.fi/bitstream/10024/891968/2/Cordruwisch_Tom.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119872814","display_name":"Tom Cordruwisch","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Cordruwisch, Tom","raw_affiliation_strings":["University of Hamburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hamburg","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5119872814"],"corresponding_institution_ids":["https://openalex.org/I159176309"],"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":true,"primary_topic":{"id":"https://openalex.org/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.5562000274658203,"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/T10048","display_name":"Particle physics theoretical and experimental studies","score":0.5562000274658203,"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/T10527","display_name":"High-Energy Particle Collisions Research","score":0.22220000624656677,"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":0.03579999879002571,"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/foundation-models","display_name":"foundation models","score":0.8840000033378601},{"id":"https://openalex.org/keywords/tokenization","display_name":"tokenization","score":0.6579999923706055},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"feature engineering","score":0.8970000147819519},{"id":"https://openalex.org/keywords/particle-physics","display_name":"particle physics","score":0.7409999966621399},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.49000000953674316},{"id":"https://openalex.org/keywords/jet-substructure","display_name":"jet substructure","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5454999804496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5339999794960022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5130000114440918},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4546000063419342},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.39809998869895935},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.35040000081062317},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.34369999170303345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33550000190734863},{"id":"https://openalex.org/C119947313","wikidata":"https://www.wikidata.org/wiki/Q5596635","display_name":"Jet (fluid)","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.30140000581741333},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27480000257492065},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:www.theseus.fi:10024/891968","doi":null,"is_oa":true,"landing_page_url":"http://www.theseus.fi/handle/10024/891968","pdf_url":"http://www.theseus.fi/bitstream/10024/891968/2/Cordruwisch_Tom.pdf","source":{"id":"https://openalex.org/S4306400928","display_name":"Theseus (Ammattikorkeakoulujen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"fi=AMK-opinn\u00e4ytety\u00f6|sv=YH-examensarbete|en=Bachelor's thesis|"}],"best_oa_location":{"id":"pmh:oai:www.theseus.fi:10024/891968","doi":null,"is_oa":true,"landing_page_url":"http://www.theseus.fi/handle/10024/891968","pdf_url":"http://www.theseus.fi/bitstream/10024/891968/2/Cordruwisch_Tom.pdf","source":{"id":"https://openalex.org/S4306400928","display_name":"Theseus (Ammattikorkeakoulujen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"fi=AMK-opinn\u00e4ytety\u00f6|sv=YH-examensarbete|en=Bachelor's thesis|"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6983119207.pdf","grobid_xml":"https://content.openalex.org/works/W6983119207.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2005398885","https://openalex.org/W2040870580","https://openalex.org/W2097599414","https://openalex.org/W2122111042","https://openalex.org/W2165037242","https://openalex.org/W2212901559","https://openalex.org/W2913524896","https://openalex.org/W2915621743","https://openalex.org/W2963799213","https://openalex.org/W3012901587","https://openalex.org/W4206933981","https://openalex.org/W4223528582","https://openalex.org/W4225852041","https://openalex.org/W4387158294","https://openalex.org/W4390214589","https://openalex.org/W4390988178","https://openalex.org/W4392736559","https://openalex.org/W4393840268","https://openalex.org/W4394687860","https://openalex.org/W4406472599","https://openalex.org/W4406866482","https://openalex.org/W4411363215","https://openalex.org/W4417268173"],"related_works":["https://openalex.org/W4392736559","https://openalex.org/W4412036811","https://openalex.org/W7127618187","https://openalex.org/W4407245117","https://openalex.org/W7083696831","https://openalex.org/W4411363215","https://openalex.org/W4408521860","https://openalex.org/W4417086446","https://openalex.org/W7154496647","https://openalex.org/W7083844178"],"abstract_inverted_index":{"In":[0],"light":[1],"of":[2,6,36,65,90,99,155,167],"the":[3,34,59,63,75,83,88,97,106,135,152,165],"rapid":[4],"advancement":[5],"machine":[7,126,159],"learning":[8,160],"and":[9,30,38,104,143,162],"its":[10,101],"increasing":[11],"uptake":[12],"in":[13,50,158,170],"high":[14],"energy":[15],"physics,":[16],"foundation":[17,47,168],"models":[18,169],"present":[19],"an":[20,124],"encouraging":[21],"outlook":[22],"for":[23,140],"responding":[24],"to":[25,71,81,86,118,164],"concerns":[26],"about":[27],"data":[28,115,122],"scarcity":[29],"computational":[31],"cost":[32],"limiting":[33],"scale":[35],"contemporary":[37],"future":[39,141],"research.":[40],"This":[41],"thesis":[42],"builds":[43],"on":[44],"OmniJet-\u03b1,":[45],"a":[46,53,66,113],"model":[48,107,146],"released":[49],"2024":[51],"using":[52],"transformer-based":[54],"backbone":[55],"architecture.":[56],"By":[57],"leveraging":[58],"OmniJet-\u03b1":[60],"codebase,":[61],"including":[62],"use":[64],"Vector":[67],"Quantised-Variational":[68],"Autoencoder":[69],"(VQ-VAE)":[70],"generate":[72],"tokens":[73],"representing":[74],"original":[76],"data,":[77],"this":[78],"work":[79,142],"aims":[80],"extend":[82],"model\u2019s":[84],"functionality":[85],"support":[87],"prediction":[89],"particle":[91,171],"jet":[92,121,130],"evolution.":[93],"For":[94],"that":[95],"purpose,":[96],"feasibility":[98],"adapting":[100],"tokenisation":[102],"strategy":[103],"customising":[105],"architecture":[108],"was":[109],"investigated,":[110],"supported":[111],"by":[112],"revised":[114],"preprocessing":[116],"pipeline":[117],"transform":[119],"raw":[120],"into":[123],"optimal":[125],"learningready":[127],"format.":[128],"While":[129],"evolution":[131],"predictability":[132],"remains":[133],"uncertain,":[134],"study":[136],"identified":[137],"critical":[138],"aspects":[139],"successfully":[144],"demonstrated":[145],"inference":[147],"functionality.":[148],"The":[149],"findings":[150],"highlight":[151],"major":[153],"role":[154],"feature":[156],"engineering":[157],"applications":[161],"contribute":[163],"development":[166],"physics.":[172]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}