Dark Energy Survey Year 3 results: Simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps. II. cosmological results
M. GattiUniversity of PennsylvaniaG. CampaillaUniversity of Genova and INFNN JeffreyUniversity College LondonL WhitewayUniversity College LondonA. PorredonRuhr University BochumJ. PratUniversity of ChicagoJ. WilliamsonUniversity College LondonM RaveriUniversity of Genova and INFNBhuvnesh JainUniversity of PennsylvaniaVirginia AjaniETH ZurichG. GianniniUniversity of ChicagoM. YamamotoDuke University DurhamConghao ZhouSanta Cruz Institute for Particle PhysicsJ BlazekNortheastern UniversityDhayaa AnbajaganeUniversity of ChicagoS. SamuroffNortheastern UniversityTomasz KacprzakETH ZurichA. AlarconArgonne National LaboratoryA. AmonUniversity of CambridgeK. BechtolUniversity Avenue MadisonM. R. BeckerArgonne National LaboratoryG. M. BernsteinUniversity of PennsylvaniaA. CamposUniversity Avenue MadisonC. ChangUniversity of ChicagoR. ChenDuke University DurhamA. ChoiNASA Goddard Space Flight CenterC. DavisStanford UniversityJ. DeRoseLawrence Berkeley National LaboratoryH. T. DiehlFermi National Accelerator LaboratoryScott DodelsonCarnegie Mellon UniversityC. DouxUniversité Grenoble AlpesK. EckertUniversity of PennsylvaniaJ. Elvin-PooleUniversity of WaterlooS. EverettCalifornia Institute of TechnologyA. FertéSLAC National Accelerator LaboratoryD. GruenLudwig-Maximilians-UniversitätR. A. GruendlCenter for Astrophysical SurveysI. HarrisonCardiff UniversityW G HartleyUniversity of GenevaK. HernerFermi National Accelerator LaboratoryE. M. HuffCalifornia Institute of TechnologyMike JarvisUniversity of PennsylvaniaN. KuropatkinFermi National Accelerator LaboratoryP.-F. LégetStanford UniversityN. MacCrannUniversity of CambridgeJ. McCulloughKIPAC, Menlo ParkJ. MylesPrinceton UniversityA Navarro-AlsinaUniversidade Estadual de CampinasS. PandeyUniversity of PennsylvaniaR. P. RollinsUniversity of ManchesterA. RoodmanSLAC National Accelerator LaboratoryC. SánchezUniversity of PennsylvaniaL. F. SeccoUniversity of ChicagoI. Sevilla-NoarbeMedioambientales y Tecnológicas (CIEMAT)E. SheldonBrookhaven National LaboratoryT. ShinStony Brook UniversityM. A. TroxelDuke University DurhamI. TutusausUniversité de ToulouseT. N. VargaExcellence Cluster OriginsB. YannyFermi National Accelerator LaboratoryB. YinCarnegie Mellon UniversityY. ZhangNSF’s National Optical-Infrared Astronomy Research LaboratoryJ. ZuntzUniversity of EdinburghT. AbbottNSF’s National Optical-Infrared Astronomy Research LaboratoryM. AguenaLaboratório Interinstitucional de e-Astronomia—LIneAS. S. AllamFermi National Accelerator LaboratoryO. AlvesUniversity of MichiganF. Andrade-OliveiraUniversity of MichiganD. BaconUniversity of PortsmouthS. BocquetLudwig-Maximilians-UniversitätDavid H. BrooksUniversity College LondonA. Carnero RosellInstituto de Astrofisica de CanariasJ. CarreteroBarcelona Institute of Science and TechnologyL. N. da CostaLaboratório Interinstitucional de e-Astronomia—LIneAM. E. S. PereiraUniversität HamburgJ. De VicenteMedioambientales y Tecnológicas (CIEMAT)I. FerreroInstitute of Theoretical AstrophysicsJ. FriemanFermi National Accelerator LaboratoryJ. García-BellidoUniversidad Autonoma de MadridE. GaztañagaInstitut d’Estudis Espacials de Catalunya (IEEC)G. GutiérrezFermi National Accelerator LaboratoryS. R. HintonUniversity of QueenslandD. L. HollowoodSanta Cruz Institute for Particle PhysicsK. HonscheidThe Ohio State UniversityD.J JamesCenter for Astrophysics | Harvard & SmithsonianK. KuehnLowell ObservatoryO. LahavUniversity College LondonS. LeeCalifornia Institute of TechnologyJ. L. MarshallTexas A&M UniversityJ. Mena-FernándezLPSC Grenoble—53R. MiquelBarcelona Institute of Science and TechnologyA. PieresLaboratório Interinstitucional de e-Astronomia—LIneAA. A. Plazas MalagónSLAC National Accelerator LaboratoryE. SánchezMedioambientales y Tecnológicas (CIEMAT)D. Sanchez CidMedioambientales y Tecnológicas (CIEMAT)M. SchubnellUniversity of MichiganM SmithUniversity of SouthamptonE. SuchytaOak Ridge National LaboratoryG. TarléUniversity of MichiganN. WeaverdyckLawrence Berkeley National Laboratory
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Аннотация
The paper applies a novel simulation-based cosmological inference methodology to Dark Energy Survey Year-3-based weak-lensing mass maps. Inclusion of nongaussian statistics strongly improves cosmological constraints, establishing consistency with other work with the same and different datasets.
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