Probing cosmology with an eye on Rubin : from strong lensing to the large scale structure of the universe

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dc.contributor.advisor-co1Ho, Shirley
dc.contributor.advisor-co1IDhttps://orcid.org/0000-0002-1068-160X
dc.contributor.advisor1Makler, Martín
dc.contributor.advisor1IDhttps://orcid.org/0000-0003-2206-2651
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/6567844719949395
dc.contributor.authorOliveira, Renan Alves de
dc.contributor.authorIDhttps://orcid.org/0000-0002-0200-3833
dc.contributor.authorLatteshttp://lattes.cnpq.br/1895596998416086
dc.contributor.referee1Abramo, Luis Raul Weber
dc.contributor.referee1IDhttps://orcid.org/0000-0001-8295-7022
dc.contributor.referee1Latteshttp://lattes.cnpq.br/4558796258762790
dc.contributor.referee2Bom, Clécio Roque de
dc.contributor.referee2IDhttps://orcid.org/0000-0003-4383-2969
dc.contributor.referee2Latteshttp://lattes.cnpq.br/5635352837026339
dc.contributor.referee3Velten, Hermano Endlich Schneider
dc.contributor.referee3IDhttps://orcid.org/0000-0002-5155-7998
dc.contributor.referee3Latteshttp://lattes.cnpq.br/0282590467459210
dc.contributor.referee4Marra, Valerio
dc.contributor.referee4IDhttp://orcid.org/0000-0002-7773-1579
dc.contributor.referee4Latteshttp://lattes.cnpq.br/6846011112691877
dc.date.accessioned2024-07-31T15:31:40Z
dc.date.available2024-07-31T15:31:40Z
dc.date.issued2024-04-11
dc.description.abstractIn 2024, the Vera C. Rubin Observatory will begin observing the Universe for the next ten years. Two key cosmological observables that Rubin will probe are gravitational lensing and the large-scale structure of the Universe. In this thesis, we derive analytical solutions for strongly lensed images that can be useful for generating fast simulations and as a starting point in parameter searches for lens inversion. Then, we obtain an expression in closed form for the magnification cross-section, which can be used to predict the abundance of highly magnified sources. Next, we focus on real data and assemble an extensive compilation of Strong Lensing candidate systems from the literature containing over 30,000 unique objects. We cross-match this sample with the current major photometric and spectroscopic catalogs. As preparation for Rubin, we generate image cutouts for these systems in most current wide-field surveys with subarcsecond seeing, namely DES, HSC, KiDS, CFHTLens, RCSLens, and CS82. This sample dubbed the “Last Stand Before Rubin” (LaStBeRu), has a myriad of applications, from using archival data to selections for follow-up projects and training of machine learning algorithms. As an application, we have performed a test of General Relativity (GR) with these data, combining information from strong lensing and velocity dispersions, which allow one to set constraints on the Post-Newtonian parameter γPPN. From the LaStBeRu database, we were able to provide the first independent test of γPPN from previous results and for the first time only for systems identifiable in ground-based images. We can obtain the most stringent constraint on γPPN by combining these data with the current samples. Moreover, we have obtained new spectroscopic data for systems selected from LaStBeRu, which were used to obtain the first end-to-end determination of γPPN. It is also the first determination derived purely from ground-based data and the first to use self-consistent priors. Our results are consistent with GR at the ∼ 1-σ level and with the previous results from the literature. Finally, in the context of the large structure, we present two neural emulators capable of making fast predictions for the density, displacement, and velocity fields of dark matter particles without necessarily having to run expensive N-body simulations. We compared these emulators with another fast method for the same task, showing that neural emulators provide the best results
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.formatText
dc.identifier.urihttp://repositorio.ufes.br/handle/10/17648
dc.languageeng
dc.language.isoen
dc.publisherUniversidade Federal do Espírito Santo
dc.publisher.countryBR
dc.publisher.courseDoutorado em Astrofísica, Cosmologia e Gravitação
dc.publisher.departmentCentro de Ciências Exatas
dc.publisher.initialsUFES
dc.publisher.programPrograma de Pós-Graduação em Astrofísica, Cosmologia e Gravitação
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectAstrofísica
dc.subjectCosmologia
dc.subjectAstronomia - Observações
dc.subjectRedes neurais (Computação)
dc.subjectGravitação
dc.subjectGaláxias
dc.subjectLenteamento forte
dc.subjectBanco de dados observacional
dc.subjectEstrutura em grande escala do Universo
dc.subjectEmuladores
dc.subjectStrong lensing
dc.subjectObservational database
dc.subjectLarge-scale structure of Universe
dc.subjectEmulators
dc.subjectGravitational lensing
dc.subjectAstrophysical observations
dc.subjectNeural networks
dc.subjectDatabase
dc.subjectCosmology
dc.subject.cnpqAstronomia
dc.titleProbing cosmology with an eye on Rubin : from strong lensing to the large scale structure of the universe
dc.typedoctoralThesis
foaf.mboxfisica.renan@gmail.com
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Doutorado em Astrofísica, Cosmologia e Gravitação