- Tipo de expresión:
- Doctorado: Propuesta de dirección de tesis doctoral/temática para solicitar ayuda predoctoral ("Hosting Offer o EoI")
- Ámbito:
- Astronomía y Astrofísica
- Área:
- Materia
- Modalidad:
- Ayudas para contratos predoctorales para la formación de doctores (antiguas FPI)
- Referencia:
- PIF2025 (PID2024-155316NB-I00)
- Centro o Instituto:
- INSTITUTO DE CIENCIAS DEL ESPACIO
- Investigador:
- DIEGO FERNANDO TORRES OZEMO
- Palabras clave:
-
- pulsars, pulsars wind nebulae, magnetospheres, Artificial Intelligence, radiative models, simulations
- Documentos anexos:
- 721045.pdf
- 721046.pdf
- 721073.pdf
PIF2025 - Synergistic pulsar astrophysics - (PID2024-155316NB-I00)
This project aims to advance the understanding of pulsars and pulsar wind nebulae (PWNe) by combining observational data
analysis, theoretical modelling, and computational techniques. Also, the project intends to develop AI-based software for the Cerenkov Telescope Array Observatory.
Key areas:
1)Pulsar Light Curve Modeling: creation of skymaps and thoretical light curves prediction, enabling direct comparison with data.
2)PWN evolution, morphology and radiation: Optimize and utilize the advanced codes to study PWN evolution and interaction.
3)High-Energy Observations: Obtain and contribute to the analysis of observatories searching for high energy gamma-ray sources up to PeV-energies.
4)Study the behavior of pulsars and PWNe in close binary systems, including transitional Millisecond Pulsars and gamma-ray binaries.
5)Develop an AI-based scheduler for CTAO to optimize observation time and maximize the number of targets observed.
6)Apply advanced Mathematical Techniques, graph theory, time series analysis, and others to pulsar astrophysics, including the use of minimum spanning trees, dynamic time warping for light curve analysis, and machine learning methods for imaging and binary properties.
Without discarding any of the key areas, for this position we are especially interested in candidates wishing to work in areas 1 or 6. Interest in using computing techniques for theoretical models will be an asset.
Last Papers: https://shorturl.at/dzkAH