SITCoM: SiRGraF Integrated Tool for Coronal dynaMics

TL;DR

SITCoM is a Python-based tool that filters white-light coronagraph images to analyze coronal dynamics, tracking transients and studying wave oscillations efficiently.

Contribution

It introduces a new integrated tool combining filtering, transient tracking, and wave analysis for coronal dynamics in a user-friendly Python package.

Findings

Effective filtering of coronal structures using SiRGraF

Successful tracking of CMEs and plasma blobs

Derivation of wave properties like period and damping time

Abstract

SiRGraF Integrated Tool for Coronal dynaMics (SITCoM) is based on Simple Radial Gradient Filter (SiRGraF) used to filter the radial gradient in the white-light coronagraph images and bring out dynamic structures. SITCoM has been developed in Python and integrated with SunPy and can be installed by users with the command pip install sitcom. This enables the user to pass the white-light coronagraph data to the tool and generate radially filtered output with an option to save in various formats as required. We have implemented the functionality of tracking the transients such as coronal mass ejections (CMEs), outflows, plasma blobs, etc., using height-time plots and deriving their kinematics. In addition, SITCoM also supports oscillation and waves studies such as for streamer waves. This is done by creating a distance-time plot at a user-defined location (artificial slice) and fitting a sinusoidal function to derive the properties of waves, such as time period, amplitude, and damping time (if any). We provide the provision to manually or automatically select the data points to be used for fitting. SITCoM is a tool to analyze some properties of coronal dynamics quickly. We present an overview of the SITCoM with the applications for deriving coronal dynamics' kinematics and oscillation properties. We discuss the limitations of this tool along with prospects for future improvement.