Conference paper
SunPy: Python for Solar Physics. An implementation for local correlation tracking
J. I. Campos Rozo
; Universidad Nacional de Colombia, Bogotá, Colombia
Santiago Vargas Dominguez
; Big Bear Solar Observatory, NJIT, Big Bear City, USA
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.
Keywords
Programming; Solar Physics; Data Analysis
Hrčak ID:
143691
URI
Publication date:
20.11.2014.
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