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SunPy: Python for Solar Physics. An implementation for local correlation tracking

Acceso Cerrado
ID Minciencias: ART-0001438055-79
Ranking: ART-ART_A2

Abstract:

Python programming language has experienced a great progress and growing use in the scientific community in the last years as well as a direct impact on solar physics. Python is a very mature language and almost any fundamental feature you might want to do is already implemented in a library or module. SunPy is a common effort of, using the advantages of Python, developing tools to be applied for processing and analysis of solar data. In this work we present a particular development, based on Python, for the analysis of proper motions in time series of images through the local correlation tracking algorithm. A graphic user interface allows to select different parameters for the computations, visualization and analysis of flow fields.

Tópico:

Computational Physics and Python Applications

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FuenteNo disponible
Cuartil año de publicaciónNo disponible
Volumen38
Issue1
Páginas67 - 72
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Enlaces e Identificadores:

Minciencias IDART-0001438055-79Scienti ID0001438055-79Openalex URLhttps://openalex.org/W2280338184
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