Time series exploration with Stingray: New tools for spectral-timing analysis of X-ray data

New ideas about how to analyze time-domain X-ray astronomy data have initiated the “spectral-timing revolution,” leading to a surge in developments of analysis techniques. Many individual tools and libraries exist, and some are even publicly available, but what has been lacking is a coherent set for a complete analysis. Stingray is a new community-developed, open-source software package in Python for spectral-timing analysis of astrophysical data. This software package provides the basis for developing spectral-timing analysis tools, while following the Astropy guidelines for modern open-source scientific programming. Our goal is to provide the community with a package that eases the learning curve for state-of-the-art spectral-timing techniques, with a correct statistical framework, to make maximal use of data from NuSTAR, NICER, and potentially STROBE-X and eXTP. In this talk, I will highlight the quasi-periodic oscillation (QPO) modeling and the cospectrum tools in the Stingray library using new NICER and NuSTAR data, respectively. For more information on Stingray, see: http://stingraysoftware.github.io/