Seminario "BUSQUEDA DE NUEVA FÍSICA EN ACELERADORES Y EL COSMOS" PRIMAVERA 2025

A particular goal of holography is to understand the emergence of bulk geometry from the boundary conformal field theory. One geometrical application of entanglement is an auxiliary space for holography known as kinematic space—the space of pairs of CFT points. It is possible to define a parallel transport of modular Hamiltonians, which in turn, defines a Berry connection on kinematic space that reconstructs curves in the bulk. In this talk, I will introduce a new class of modular parallel transport governed by a change of global state. In this novel framework, the expectation value of the modular Berry curvature agrees with an appropriately defined bulk symplectic form associated with the entanglement wedge. Moreover, it is possible to define a quantum information metric on the space of density matrices from the Berry curvature, which is related to the canonical energy in the bulk. Time permitting, I will also discuss recent work on the kinematic space of holographic entropy inequalities and a novel two-sided Crofton formula to reconstruct spacetime.

El Observatorio Pierre Auger, en Argentina, estudia los rayos cósmicos de muy alta energía (UHECRs) mediante una red de Detectores de Superficie y telescopios de Fluorescencia. Uno de sus principales objetivos es determinar la composición de estos rayos cósmicos, clave para entender su origen.
La composición se estudia a través de Xmax, la profundidad a la que una lluvia atmosférica de partículas alcanza su máximo desarrollo en la atmósfera. El uso de Machine Learning (ML) y Deep Learning (DL) ha mejorado la reconstrucción de Xmax, aplicando redes neuronales profundas (DNNs), y otros modelos para distinguir entre diferentes tipos de partículas.
Desde la FCFM/CIIEC-BUAP en Puebla, contribuimos con modelos de ML/DL para la estimación de la composición. Estas herramientas están revolucionando el análisis de rayos cósmicos y acercándonos a resolver el misterio de su origen

-RESEÑA DEL CV PARA PRESENTACIÓN
Enrique Varela Carlos, es profesor en la Facultad de Ciencias Físico Matemáticas (FCFM) de la BUAP desde 2016. Obtuvo su Doctorado en Ciencias en Física Aplicada, especializándose en el estudio de la composición de los rayos cósmicos a través de Xmax, utilizando datos de las extensiones de fluorescencia y detectores de superficie HEAT e INFILL respectivamente del Observatorio Pierre Auger.
Actualmente, es coordinador del Posgrado de muy reciente creación en Investigación en Ciencia de Datos de la FCFM-BUAP, impulsando la integración de técnicas de Machine Learning y Ciencia de Datos en problemas de física de astropartículas y otros campos interdisciplinarios.

In this talk, I will discuss a phenomenon called cosmic inflation in which the Universe went through accelerated exponential expansion to solve the horizon problem of Cosmological Microwave Background within a billionth of a trillionth of a trillionth of a second, in the very early Universe. This accelerated expansion, in its minimal form, is driven by a scalar field (inflaton) and it takes place when this scalar field slowly rolls down a potential well. However, the origin of this scalar field and the correct form of the scalar potential remains an open question in cosmology. I will present a string theory motivated model where the inflaton is connected to the geometry of the internal space -- the overall volume of it drives the inflation. In particular, I will present a construction where the overall volume modulus (scalar field) is dynamically stabilized to an exponentially large value only via perturbative corrections, also known as perturbative large volume scenario (LVS). In this framework, the robustness of the single-field inflationary model is checked against possible sub-leading corrections. In the later part of my talk, I will focus on the global embedding of the fibre inflation in perturbative LVS and show how our constructions pose less challenge in realizing a successful period of inflation. Finally, I will end my talk by presenting a multi-field inflationary analysis.