{"id":"https://openalex.org/W7115567614","doi":"https://doi.org/10.48550/arxiv.2512.11318","title":"Deconvolution of inclined channel elutriation data to infer particle size distribution","display_name":"Deconvolution of inclined channel elutriation data to infer particle size distribution","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W7115567614","doi":"https://doi.org/10.48550/arxiv.2512.11318"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2512.11318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11318","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":null,"license_id":null,"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.2512.11318","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hogan, Jeffrey A.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hogan, Jeffrey A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Iveson, Simon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iveson, Simon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Mackellar, Jason","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mackellar, Jason","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Galvin, Kevin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galvin, Kevin","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/T10615","display_name":"Granular flow and fluidized beds","score":0.8411999940872192,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10615","display_name":"Granular flow and fluidized beds","score":0.8411999940872192,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12850","display_name":"Field-Flow Fractionation Techniques","score":0.06589999794960022,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12540","display_name":"Cyclone Separators and Fluid Dynamics","score":0.03880000114440918,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.9595000147819519},{"id":"https://openalex.org/keywords/elutriation","display_name":"Elutriation","score":0.7534000277519226},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.46869999170303345},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4302999973297119},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.42649999260902405},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4066999852657318},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.39890000224113464},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.3955000042915344},{"id":"https://openalex.org/keywords/particle-size-distribution","display_name":"Particle-size distribution","score":0.3781000077724457}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.9595000147819519},{"id":"https://openalex.org/C2780802856","wikidata":"https://www.wikidata.org/wiki/Q3025059","display_name":"Elutriation","level":2,"score":0.7534000277519226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5343000292778015},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.46869999170303345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4505000114440918},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.39890000224113464},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C60448018","wikidata":"https://www.wikidata.org/wiki/Q2054937","display_name":"Particle-size distribution","level":3,"score":0.3781000077724457},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37700000405311584},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C187530423","wikidata":"https://www.wikidata.org/wiki/Q7140503","display_name":"Particle size","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3384000062942505},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C186603090","wikidata":"https://www.wikidata.org/wiki/Q55505926","display_name":"Distribution function","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25940001010894775}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2512.11318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11318","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2512.11318","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11318","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,70],"paper":[2],"we":[3],"investigate":[4],"the":[5,11,23,41,56,108,117,126,130,144,161],"application":[6],"of":[7,13,25,32,65,69,94,96,129],"optimisation":[8],"techniques":[9],"in":[10,61,101,143],"deconvolution":[12,136],"mineral":[14],"fractionation":[15],"data":[16,71,154],"obtained":[17],"from":[18,116,155],"a":[19,26,30,45,50,62,90],"mathematical":[20],"model":[21,39],"for":[22],"operation":[24],"fluidised":[27],"bed":[28],"with":[29,44,55,85,120,141],"set":[31],"inclined":[33],"parallel":[34],"channels":[35],"mounted":[36],"above.":[37],"The":[38,135],"involved":[40],"transport":[42],"equation":[43],"stochastic":[46],"source":[47],"function":[48],"and":[49,76],"linearly":[51,140],"increasing":[52],"fluidisation":[53,131],"rate,":[54],"overflow":[57],"solids":[58],"being":[59],"collected":[60],"finite":[63],"number":[64],"increments":[66],"(bags).":[67],"Deconvolution":[68,84],"is":[72,78,87],"an":[73,121],"ill-posed":[74],"problem":[75],"regularisation":[77,86],"required":[79],"to":[80,89],"provide":[81],"feasible":[82],"solutions.":[83],"applied":[88],"synthetic":[91],"feed":[92,109],"consisting":[93],"particles":[95],"constant":[97],"density":[98],"that":[99,107,123,152],"vary":[100],"size":[102,110],"only.":[103],"It":[104,148],"was":[105,133,149],"found":[106],"distribution":[111],"could":[112],"be":[113],"successfully":[114],"deconvolved":[115],"bag":[118,146],"weights,":[119],"accuracy":[122],"improved":[124],"as":[125],"rate":[127,132],"acceleration":[128],"decreased.":[134],"error":[137,142],"only":[138],"grew":[139],"measured":[145],"masses.":[147],"also":[150],"shown":[151],"combining":[153],"two":[156],"different":[157],"liquids":[158],"can":[159],"improve":[160],"accuracy.":[162]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-12-16T00:00:00"}