Variable stars' light curve detection and classification using supervised machine learning

We present two applications of supervised machine learning aimed at addressing the light curve classification problem in stellar variability. Our main goal is to streamline the analysis of light curves obtained from large-scale photometric and multi-epoch astronomic surveys. In the first application...

Full description

Autores:
Elizabethson, Astaroth
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/73980
Acceso en línea:
https://hdl.handle.net/1992/73980
Palabra clave:
Astronomy
Machine Learning
KNN
CART
RF
SVM
RR Lyrae stars
Cepheid stars
T Tauri stars
VVV Survey
Vista Variable Stars in the Via Lactea
TESS
Transiting Exoplanet Survey Satellite
Física
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf