• Dnyandev Bhausaheb Patil
• Vijay S. Kale
• Dr. Arvind D. Shaligram

The continuously changing solar wind, geo-magnetic field from the Sun and the plasma flow has high impact on the life of the living organism. The living organism life on the earth is driven by the Sunlight. The climate of the earth is critically sensitive to the solar activities. This impact is very high when sun is following 11-year cycle. Therefore, it becomes necessary to observe and study the solar activities. Many instruments and observatories are watching the solar activities. Compound Astronomical Low-cost Low-frequency Instrument for Spectroscopy and Transportable Observatory (CALLISTO) is portable and low-cost instrument used to detect solar activities. e-CALLISTO network with central hub located at the Switzerland is worldwide network and providing observations from different countries from last several years. The received data is raw with noise and in the Flexible Image Transport System (FITS) file format. This data needs processing by the suitable image processing techniques. There are different methods that can be used to process the generated images. The main aim of the image processing is to remove the background noise from the image. This paper presents the processing of FITs file by python scripts. Python programming language works quickly and integrates systems more effectively. The advantages of python scripts are its flexibility of the command, convenient and short script, fast data processing. The script uses minimum resources and time to process single image. This is useful when large numbers of images are needed to be processed with limited computer resources. Paper represents the radio burst results after Python script processing of images received by e-CALLISTO (Nashik-India) recently.

e-CALLISTO, Image processing, data analysis, FITs file, Python script.

"e-CALLISTO Data Analysis Using Python Scripts", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.d140-d144, October-2021, Available :http://www.jetir.org/papers/JETIR2110316.pdf

"e-CALLISTO Data Analysis Using Python Scripts", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppd140-d144, October-2021, Available at : http://www.jetir.org/papers/JETIR2110316.pdf