Sheffield Solar Catalogue


The project SSC is a real-time image
recognition tool and database
for analysing solar features.



Documentation

->

Get Started


Project

Project Under Development

SSC is an open-source and free software for solar physics. The project provides a real-time comprehensive data analysis environment that allows researchers within the field of solar physics to carry out their tasks with the minimal effort. At this stage of development, the project generates sunspot data based on SDO observations. The program is fully automated and real-time. Later, the database will be extended by other solar features, such as pores, faculea or coronal hole. Follow the link Get Started to open the database or click on the Documentation to read the detailed descrition of the applied methodology.

SSC is written using the Python programming language and is build upon the scientific Python environment which includes several core packages such as NumPy, SciPy, Matplotlib, Pandas, Bokeh and Sunpy. The project SSC fully acknowledges these softwares and kindly ask You to cite them appropriately.

Support

The authors thank the Science and Technology Facilities Council (STFC, grant numbers ST/M000826/1, ST/L006316/1) for the support to conduct this research. We also acknowledge the support received from the following orginisations:

Contact

If you are interested in developing SSC or you would like to make some comments, get involved! There are a number of ways to make your voice heard and we would love to hear from you. If you run into unexpected behavior or run into a bug we urge you to please report it. All bugs are kept track of on our issue tracker. You can add a bug report there. If you are interested in contributing fixes, code or documentation to SSC please checkout our newcomers guide. For technical details, web service questions, giving comments and suggestions please write to:

n.g.gyenge [at] sheffield.ac.uk

Technical Information

We use cookies to provide you with essential features of our site including:

  • Remembering the details of queries you have put in
  • Remembering what AR/full disk you have selected to view
  • Remembering what plots you have created
  • Displaying extrapolation and full disk data
  • Disabling these cookies will make it so you are unable to use any of these features.

    Our site also contains third party cookies such as ones from youtube to allow us to embed youtube videos.

    You can manage browser cookies through your browser settings. The 'Help' feature on most browsers will tell you how to prevent your browser from accepting new cookies, how to have the browser notify you when you receive a new cookie, how to disable cookies, and when cookies will expire. If you disable all cookies on your browser, neither we nor third parties will transfer cookies to your browser.

    About


    Lead Developer
    Norbert Gyenge

    Programmer
    Jiajia Liu

    Programmer
    Vinh Vu

    Programmer
    Colin Zack

    Web design
    Haidong Yu

    Project Manager
    Robert Erdelyi
    //