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SITCoM: SiRGraF Integrated Tool for Coronal dynaMics

Udhwani, P and Shrivastav, AK and Patel, R (2023) SITCoM: SiRGraF Integrated Tool for Coronal dynaMics. In: Frontiers in Astronomy and Space Sciences, 10 .

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Official URL: https://doi.org/10.3389/fspas.2023.1227872


SiRGraF Integrated Tool for Coronal dynaMics (SITCoM) is based on the Simple Radial Gradient Filter 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 implemented the functionality of tracking the transients such as coronal mass ejections, outflows, and plasma blobs, using height–time plots and deriving their kinematics. In addition, SITCoM also supports oscillation and wave studies such as for streamer waves. This is performed 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 option 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. Copyright © 2023 Udhwani, Shrivastav and Patel.

Item Type: Journal Article
Publication: Frontiers in Astronomy and Space Sciences
Publisher: Frontiers Media SA
Additional Information: The copyright for this article belongs to the Authors.
Department/Centre: Division of Physical & Mathematical Sciences > Joint Astronomy Programme
Date Deposited: 20 Dec 2023 03:56
Last Modified: 20 Dec 2023 03:56
URI: https://eprints.iisc.ac.in/id/eprint/83518

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