2021
DOI: 10.5281/zenodo.4881255
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StingraySoftware/stingray: Version 0.3

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Cited by 5 publications
(2 citation statements)
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“…This work has utilised the Stingray Python library for spectral timing: DOI: 10.5281/zenodo.4881255 (Bachetti et al 2021), LM-FIT: Non-Linear Least-Square Minimization and Curve-Fitting for Python package DOI: 10.5281/zenodo.11813, NumPy (Harris et al 2020), Matplotlib (Hunter 2007) and SciPy (Virtanen et al 2020).…”
Section: Acknowledgementsmentioning
confidence: 99%
“…This work has utilised the Stingray Python library for spectral timing: DOI: 10.5281/zenodo.4881255 (Bachetti et al 2021), LM-FIT: Non-Linear Least-Square Minimization and Curve-Fitting for Python package DOI: 10.5281/zenodo.11813, NumPy (Harris et al 2020), Matplotlib (Hunter 2007) and SciPy (Virtanen et al 2020).…”
Section: Acknowledgementsmentioning
confidence: 99%
“…Finally, after determining the most significant QPO frequencies at different times within each observation, we folded the light curves on those frequencies and obtained their phaseograms. We did that with the (Huppenkothen et al 2019a;Huppenkothen et al 2019b;Bachetti et al 2021) Python package, designed for spectraltiming analysis of X-ray data.…”
mentioning
confidence: 99%