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更新时间：2025-03-18 直链：www.chinaview.cn
Title:Simulation-BasedInferenceforHigher-orderStatisticsinWeakLensingCosmology Speaker:KunhaoZhong Abstract:Thenext-generationgalaxysurvey,LSST,Euclid,andRoman,willprovideuswithanenormousamountofdatatolearnthegrowthhistoryoftheuniverse.Thesesurveyswillprobeoverbillionsofgalaxiesandmakeunprecedentedprecisemeasurementsofweakgravitationallensingandclustering.Theseadvancementspromisesignificantinsightsintotheinflationaryepoch,thenatureofdarkenergy,andneutrinomasses.However,traditionalmethodssuchas2-pointstatisticsonlycaptureGaussianinformation.Inthistalk,Iwillintroducesimulation-basedinference(orlikelihood-freeinference)asanefficientwaytoextractcosmologicalinformationfromnon-gaussiansummarystatistics.Specifically,IwillshowtherecentDES-Y3effortinusingmomentsandwavelettransformandtheirvalidationprocesses.Iwillpresenttherecentworkinmakingfield-levelcompressionusingconvolutionalneuralnetworks.Iwillalsointroduceananalyticalgenerativemodelasanextensiontothewidelyusedlog-normalmodel.Lastly,Iwilldiscussthelatestdevelopments,challenges,andthefuturedirectionofsimulation-basedinferenceincosmology. Bio:KunhaoZhongisasecond-yearPhDstudentattheUniversityofPennsylvania.HeisadvisedbyProf.BhuvneshJaintoworkonweaklensinghigherorderstatistics,simulation-basedinference,andmachinelearning.Kunhaohasabroadinterestinastrophysicsandparticlephysics.PreviouslyhewasaMaster
更新时间：2025-02-20 直链：astro.sjtu.edu.cn
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更新时间：2025-02-19 直链：enghunan.gov.cn
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更新时间：2025-02-18 直链：www.intrepidcs.com.cn