#StudentSeminars: Department of Astronomy and Astrophysics Session

Lista de Contribuciones

1. Dynamics of Core Collapse Supernovae: Simulations, Observations, and Detectability

Marco Cusinato

1/3/24 10:00

Morning Session

Core collapse supernovae (CCSNe) mark the dramatic conclusion of massive stars' lives, serving as captivating laboratories for multi-messenger astrophysics, including neutrino and gravitational wave emissions, as well as the synthesis of heavy elements. Despite their significance, comprehending these events poses formidable challenges across theoretical, observational, and computational realms...

2. Exploring magnetic field geometry in binary neutron stars: Implications for short gamma-ray bursts

Inês Andrade Rainho

1/3/24 10:40

Morning Session

In 2017, the coordinated detection of gravitational waves by three interferometers (event GW170817) made it possible to triangulate the position of the source and therefore look for electromagnetic signals in that area of the sky. This detection was followed by a multitude of electromagnetic signals, including a short-gamma ray burst and a kilonova. These combined detections paved the way for...

3. Studying the nonlinearities in the delta Scuti Stars through Asteroseismology

Miriam Rodríguez Sánchez

1/3/24 11:20

Morning Session

Asteroseismology is the study of the interior of stars through their pulsations and oscillations, much like Seismology studies the interior of the Earth. By delving into stellar pulsations, researchers can obtain relevant physical information about the stars' evolution, chemical composition, and internal processes such as convection or magnetic fields.

Delta Scuti stars are pulsating stars...

4. A machine learning based eigenvalue solver for core-collapse supernovae gravitational wave asteroseismology

Dimitra Tseneklidou

1/3/24 15:00

Afternoon Session

One of the most promising and challenging future gravitational wave (GW) sources are core-collapse supernovae. The oscillation modes of the proto-neutron star (PNS) and the stalled accretion shock will be excited triggering the GW emission. Due to the stochastic nature of these signals, it is not possible to use template matching techniques. An alternative way to analyze the signal is to...

5. Stellar characterization using Hierarchical Bayesian Neural Networks

Víctor Tamames Rodero

1/3/24 15:40

Afternoon Session

In this study, we present a machine learning model, particularly a Hierarchical Bayesian Neural Network (HBNN), designed to predict stellar parameters such as mass, radius, and age, with a particular focus on the last one. Our goal is to emphasize the advantages of transitioning from classical machine learning predictors to probabilistic models, which usually provide a more realistic...

6. How to unveil the mysteries of the most massive galaxies in the early universe

Andres Laza Ramos

1/3/24 16:20

Afternoon Session

Thanks to the James Webb Space Telescope (JWST), we are looking at the cosmos as never before, receiving cutting-edge imaging and spectroscopic data, which allows us to investigate the properties of distant, early (z>7) galaxies. However, this process is not simple and a keen knowledge of it is necessary, as it requires the understanding of multiple pipelines and tools, and how to combine them...

Volver al evento