Searching for extragalactic variable stars using machine learning algorithms
With the advent of the digital era, production of astronomy data has grown exponentially. However, traditional methods of searching for variable stars become ineffective when dealing with these amounts of data. Therefore, it is necessary to explore new techniques to automatise the search and have a...
- Autores:
-
Acevedo Barroso, Javier Alejandro
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/51684
- Acceso en línea:
- http://hdl.handle.net/1992/51684
- Palabra clave:
- Estrellas variables
Fotometría
Aprendizaje automático (Inteligencia artificial)
Física
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/