pyCallisto: A Python Library To Process The CALLISTO Spectrometer Data

TL;DR

pyCallisto is a Python library designed to efficiently process CALLISTO spectrometer data, facilitating solar radio burst analysis and enabling the development of automated classification algorithms for solar radio emissions.

Contribution

This work introduces a new Python library, pyCallisto, specifically for processing CALLISTO spectrometer data from the e-CALLISTO network, enhancing data analysis and automation capabilities.

Findings

Efficient processing of CALLISTO data using pyCallisto.

Demonstrated functions for routine data analysis with examples.

Supports development of automatic solar radio burst classification.

Abstract

CALLISTO is a radio spectrometer designed to monitor the transient radio emissions/bursts originated from the solar corona in the frequency range $45-870$ MHz. At present, there are $\gtrsim 150$ stations (together forms an e-CALLISTO network) around the globe continuously monitoring the Sun 24 hours a day. We have developed a pyCallisto, a python library to process the CALLISTO data observed by all stations of the e-CALLISTO network. In this article, we demonstrate various useful functions that are routinely used to process the CALLISTO data with suitable examples. This library is not only efficient in processing the data but plays a significant role in developing automatic classification algorithms of different types of solar radio bursts.