Stingray: A Modern Python Library For Spectral Timing. (arXiv:1901.07681v2 [astro-ph.IM] UPDATED)
<a href="http://arxiv.org/find/astro-ph/1/au:+Huppenkothen_D/0/1/0/all/0/1">D. Huppenkothen</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bachetti_M/0/1/0/all/0/1">M. Bachetti</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Stevens_A/0/1/0/all/0/1">A. L. Stevens</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Migliari_S/0/1/0/all/0/1">S. Migliari</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Balm_P/0/1/0/all/0/1">P. Balm</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Hammad_O/0/1/0/all/0/1">O. Hammad</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Khan_U/0/1/0/all/0/1">U. M. Khan</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Mishra_H/0/1/0/all/0/1">H. Mishra</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Rashid_H/0/1/0/all/0/1">H. Rashid</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Sharma_S/0/1/0/all/0/1">S. Sharma</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Blanco_R/0/1/0/all/0/1">R. V. Blanco</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ribeiro_E/0/1/0/all/0/1">E. M. Ribeiro</a>
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. Its core functionality comprises a range of Fourier analysis
techniques commonly used in spectral-timing analysis, as well as extensions for
analyzing pulsar data, simulating data sets, and statistical modeling. Its
modular build allows for easy extensions and incorporation of its methods into
data analysis workflows and pipelines. We aim for the library to be a platform
for the implementation of future spectral-timing techniques. Here, we describe
the overall vision and framework, core functionality, extensions, and
connections to high-level command-line and graphical interfaces. The code is
well-tested, with a test coverage of currently 95%, and is accompanied by
extensive API documentation and a set of step-by-step tutorials.
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. Its core functionality comprises a range of Fourier analysis
techniques commonly used in spectral-timing analysis, as well as extensions for
analyzing pulsar data, simulating data sets, and statistical modeling. Its
modular build allows for easy extensions and incorporation of its methods into
data analysis workflows and pipelines. We aim for the library to be a platform
for the implementation of future spectral-timing techniques. Here, we describe
the overall vision and framework, core functionality, extensions, and
connections to high-level command-line and graphical interfaces. The code is
well-tested, with a test coverage of currently 95%, and is accompanied by
extensive API documentation and a set of step-by-step tutorials.
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