all AI news
Isolated pulsar population synthesis with simulation-based inference
April 23, 2024, 4:44 a.m. | Vanessa Graber, Michele Ronchi, Celsa Pardo-Araujo, Nanda Rea
cs.LG updates on arXiv.org arxiv.org
Abstract: We combine pulsar population synthesis with simulation-based inference (SBI) to constrain the magneto-rotational properties of isolated Galactic radio pulsars. We first develop a framework to model neutron-star birth properties and their dynamical and magneto-rotational evolution. We specifically sample initial magnetic-field strengths, $B$, and spin periods, $P$, from log-normal distributions and capture the late-time magnetic-field decay with a power law. Each log-normal is described by a mean, $\mu_{\log B}, \mu_{\log P}$, and standard deviation, $\sigma_{\log B}, …
abstract arxiv astro-ph.he astro-ph.im birth cs.lg evolution framework inference normal population radio sample simulation spin star stat.ml synthesis type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Data Science Analyst
@ Mayo Clinic | AZ, United States
Sr. Data Scientist (Network Engineering)
@ SpaceX | Redmond, WA