Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA

Los procesos gaussianos (GP) nos proveen de una gran alternativa, independiente del modelo físico, con el fin de obtener información cosmológica relevante a partir de datos observacionales. En la presente tesis, se utilizaron GP para realizar un análisis conjunto a partir de datos cosmológicos como...

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Autores:: Piraneque Tenjica, Johan Stiwer

Tipo de recurso:: https://purl.org/coar/resource_type/c_7a1f

Fecha de publicación:: 2023

Institución:: Universidad El Bosque

Repositorio:: Repositorio U. El Bosque

Idioma:: spa

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dc.title.none.fl_str_mv	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
dc.title.translated.none.fl_str_mv	ΛCDM cosmology in light of the most recent observational evidence, including a Machine Learning analysis and a prediction with simulated LISA data
title	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
spellingShingle	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA Procesos Gaussianos Energía Oscura Parámetros Cosmológicos Simulación de Datos 510 Gaussian Processes Dark Energy Cosmological Parameters Data Simulation
title_short	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
title_full	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
title_fullStr	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
title_full_unstemmed	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
title_sort	Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA
dc.creator.fl_str_mv	Piraneque Tenjica, Johan Stiwer
dc.contributor.advisor.none.fl_str_mv	Bonilla Rivera, Alexander
dc.contributor.author.none.fl_str_mv	Piraneque Tenjica, Johan Stiwer
dc.subject.none.fl_str_mv	Procesos Gaussianos Energía Oscura Parámetros Cosmológicos Simulación de Datos
topic	Procesos Gaussianos Energía Oscura Parámetros Cosmológicos Simulación de Datos 510 Gaussian Processes Dark Energy Cosmological Parameters Data Simulation
dc.subject.ddc.none.fl_str_mv	510
dc.subject.keywords.none.fl_str_mv	Gaussian Processes Dark Energy Cosmological Parameters Data Simulation
description	Los procesos gaussianos (GP) nos proveen de una gran alternativa, independiente del modelo físico, con el fin de obtener información cosmológica relevante a partir de datos observacionales. En la presente tesis, se utilizaron GP para realizar un análisis conjunto a partir de datos cosmológicos como Supernova Tipo Ia (SN), Cronómetros Cósmicos (CC), Oscilaciones Acústicas Bariónicas (BAO) y una simulación de puntos de datos como sirenas estándar de ondas gravitacionales (GWs) del proyecto Laser Interferometer Space Antena (LISA) de la Agencia Espacial Europea (ESA), con el fin de restringir los principales parámetros cosmológicos del modelo estándar ΛCDM, tales como la tasa de expansión del universo H₀ y reconstruir algunas propiedades de la energía oscura (DE), la ecuación del parámetro de estado ω, la velocidad del sonido de las perturbaciones de DE c²ₛ y la evolución de la densidad de DE X con el tiempo cosmológico. Se compararon los valores de H₀, la distancia comovil normalizada D(z) y su derivada D'(z) obtenidos con los distintos kernels planteados para el GP, tanto con los datos SN+CC+BAO como con SN+CC+BAO+LISA. Del análisis conjunto SN+CC+BAO+LISA, se obtuvo que H₀ está restringido a una precisión de 1% con H₀ = 69.035 ± 1.151 km s⁻¹ Mpc⁻¹. En lo referente a los parámetros DE, para el corrimiento al rojo z=0 se encontraron los valores de ω(z = 0)=-0.981 ± 0.062 y c²ₛ(z=0)=-0.275 ± 0.066. Además, se halló c²ₛ < 0 en ∼2σ CL con desplazamientos al rojo altos.
publishDate	2023
dc.date.issued.none.fl_str_mv	2023-12
dc.date.accessioned.none.fl_str_mv	2025-06-09T20:49:38Z
dc.date.available.none.fl_str_mv	2025-06-09T20:49:38Z
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dc.type.local.spa.fl_str_mv	Tesis/Trabajo de grado - Monografía - Pregrado
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dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/bachelorThesis
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dc.identifier.reponame.spa.fl_str_mv	reponame:Repositorio Institucional Universidad El Bosque
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identifier_str_mv	instname:Universidad El Bosque reponame:Repositorio Institucional Universidad El Bosque repourl:https://repositorio.unbosque.edu.co
dc.language.iso.fl_str_mv	spa
language	spa
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Moresco et al., A 6% measurement of the hubble parameter at z ∼ 0,45: direct evidence of the epoch of cosmic re-acceleration, J. Cosmol. Astrop. Phys. 05, 014 (2016). 1601.01701 [43] S. Alam et al. [BOSS], The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample, Mon. Not. Roy. Astron. Soc. 470, 2617 (2017). 1607.03155 [44] G.-B. Zhao et al., The clustering of the sdss-iv extended baryon oscillation spectroscopic survey dr14 quasar sample: a tomographic measurement of cosmic structure growth and expansion rate based on optimal redshift weights, Mon. Not. Roy. Astron. 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(2016). Observable Deviations from Homogeneity in an Inhomogeneous Universe. Astrophys. J., 833(2):247.
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spelling	Bonilla Rivera, AlexanderPiraneque Tenjica, Johan Stiwer2025-06-09T20:49:38Z2025-06-09T20:49:38Z2023-12https://hdl.handle.net/20.500.12495/14611instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coLos procesos gaussianos (GP) nos proveen de una gran alternativa, independiente del modelo físico, con el fin de obtener información cosmológica relevante a partir de datos observacionales. En la presente tesis, se utilizaron GP para realizar un análisis conjunto a partir de datos cosmológicos como Supernova Tipo Ia (SN), Cronómetros Cósmicos (CC), Oscilaciones Acústicas Bariónicas (BAO) y una simulación de puntos de datos como sirenas estándar de ondas gravitacionales (GWs) del proyecto Laser Interferometer Space Antena (LISA) de la Agencia Espacial Europea (ESA), con el fin de restringir los principales parámetros cosmológicos del modelo estándar ΛCDM, tales como la tasa de expansión del universo H₀ y reconstruir algunas propiedades de la energía oscura (DE), la ecuación del parámetro de estado ω, la velocidad del sonido de las perturbaciones de DE c²ₛ y la evolución de la densidad de DE X con el tiempo cosmológico. Se compararon los valores de H₀, la distancia comovil normalizada D(z) y su derivada D'(z) obtenidos con los distintos kernels planteados para el GP, tanto con los datos SN+CC+BAO como con SN+CC+BAO+LISA. Del análisis conjunto SN+CC+BAO+LISA, se obtuvo que H₀ está restringido a una precisión de 1% con H₀ = 69.035 ± 1.151 km s⁻¹ Mpc⁻¹. En lo referente a los parámetros DE, para el corrimiento al rojo z=0 se encontraron los valores de ω(z = 0)=-0.981 ± 0.062 y c²ₛ(z=0)=-0.275 ± 0.066. Además, se halló c²ₛ < 0 en ∼2σ CL con desplazamientos al rojo altos.MatemáticoPregradoGaussian processes (GP) provide us with a great alternative, independent of the physical model, in order to obtain relevant cosmological information from observational data. In the present thesis, GPs were used to perform a joint analysis from cosmological data such as Type Ia Supernova (SN), Cosmic Chronometers (CC), Baryon Acoustic Oscillations (BAO) and a simulation of data points such as standard wave sirens. gravitational forces (GWs) of the Laser Interferometer Space Antenna (LISA) project of the European Space Agency (ESA), in order to constrain the main cosmological parameters of the standard model ΛCDM, such as the expansion rate of the universe H₀ and reconstruct some properties of dark energy (DE), the equation of the state parameter ω, the speed of sound from DE perturbations c²ₛ and the evolution of the DE density X with the cosmological time. The values of H₀, the normalized comove distance D(z) and its derivative D'(z) obtained with the different kernels proposed for the GP were compared, both with the SN+CC+BAO data and with SN+CC+BAO+LISA. From the joint SN+CC+BAO+LISA analysis, it was obtained that H₀ is restricted to a precision of 1% with H₀ = 69.035 ± 1.151 km s⁻¹ Mpc⁻¹. Regarding the DE parameters, for the redshift z=0 the values of ω(z = 0)=-0.981 ± 0.062 and c²ₛ(z=0)=-0.275 ± 0.066 were found. Furthermore, c²ₛ < 0 was found in ∼2σ CL at high redshifts.application/pdfAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertohttps://purl.org/coar/access_right/c_abf2http://purl.org/coar/access_right/c_abf2Procesos GaussianosEnergía OscuraParámetros CosmológicosSimulación de Datos510Gaussian ProcessesDark EnergyCosmological ParametersData SimulationCosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISAΛCDM cosmology in light of the most recent observational evidence, including a Machine Learning analysis and a prediction with simulated LISA dataMatemáticasUniversidad El BosqueFacultad de CienciasTesis/Trabajo de grado - Monografía - Pregradohttps://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesishttps://purl.org/coar/version/c_ab4af688f83e57aa[1] A.G. 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Cosmología ΛCDM a la luz de las más recientes pruebas observacionales, incluyendo un análisis de Machine Learnig y una predicción con datos simulados de LISA

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