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Found 3 papers, 1 papers with code
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
With this paper, we aim to provide a primer to the astronomical community, including authors, reviewers, and editors, on how to implement machine learning models and report their results in a way that ensures the accuracy of the results, reproducibility of the findings, and usefulness of the method.
Rapid Spectral Variability of a Giant Flare from a Magnetar in NGC 253
Magnetars are slowly-rotating neutron stars with extremely strong magnetic fields ($10^{13-15}$ G), episodically emitting $\sim100$ ms long X-ray bursts with energies of $\sim10^{40-41}$ erg.
High Energy Astrophysical Phenomena
Stingray: A Modern Python Library For Spectral Timing
This paper describes the design and implementation of stingray, a library in Python built to perform time series analysis and related tasks on astronomical light curves.
Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena
