Stingray
| Autor: | Daniela Huppenkothen, Simone Migliari, Ricardo Valles Blanco, Matteo Bachetti, Himanshu Mishra, Haroon Rashid, O. Hammad, Abigail L. Stevens, Usman A. Khan, Evandro M. Ribeiro, Swapnil Sharma, Paul Balm |
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| Přispěvatelé: | ITA, USA, GBR, ESP, EGY, IND, NLD, PAK, Astronomy |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science LIGHT-CURVE Code coverage FOS: Physical sciences computer.software_genre 01 natural sciences neutron stars Jupyter Notebook GX 339-4 03 medical and health sciences 0103 physical sciences VARIABILITY PROPERTIES RESOLVED SPECTROSCOPY Time series ACCRETION Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics 0105 earth and related environmental sciences 030304 developmental biology computer.programming_language High Energy Astrophysical Phenomena (astro-ph.HE) PULSED EMISSION 0303 health sciences Application programming interface Programming language business.industry HERCULES X-RAY OSCILLATIONS Astronomy and Astrophysics Statistical model REVERBERATION Python (programming language) Modular design black holes astronomy Workflow Space and Planetary Science BLACK-HOLE time series Astrophysics - Instrumentation and Methods for Astrophysics Astrophysics - High Energy Astrophysical Phenomena business computer Python |
| Zdroj: | Astrophysical Journal, 881(1):39. IOP PUBLISHING LTD |
| ISSN: | 0004-637X |
| Popis: | 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. 16 pages, 6 figures; published in ApJ Vol 881, No 1 |
| Databáze: | OpenAIRE |
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