PULSE: A pulsar searching model with genetic algorithm implementation for best pipeline selection and hyperparameters optimization

• Main Authors: Salvador, Rodolfo C., Dadios, Elmer P., Javel, Irister M., Teologo, Antipas T.
• Format: text
• Published: Animo Repository 2019
• Subjects: Genetic algorithms; Machine learning; Pulsars; Ensemble learning (Machine learning); Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3360; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4362/type/native/viewcontent/HNICEM48295.2019.9072764
• Institution: De La Salle University

Pulsars enabled astronomers to study neutron stars and verify general relativity under intense gravitational field conditions. However, finding pulsars is not as easy as it seems because most of them have weak pulses that get drowned in the background noise and hence do not get detected. This paper...