Click the above image to see an example of a movie made with XRTpy!
Unlocking Solar Insights Using XRTpy
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Exploring Hinode's X-Ray Telescope (XRT) data is now easier and more exciting with the power of Python! The fully documented and tested XRTpy package brings XRT data analysis to your fingertips. Whether you're interested in working with XRT filters, calculating temperature responses, sharpening images, or removing light leaks, XRTpy offers all the tools you need. For more details, installation instructions, and examples, check out the XRTpy documentation site . The movie you’re watching was created using the Jupyter Notebook example from XRTpy, Hinode-XRT: A Practical Guide to Data Extraction and Visualization. I selected data from the time frame "2022-09-23 06:10:00 - 2022-09-24 03:59:54," focusing on the filter channel "Al-Poly" with a pixel size of 384x384. This observation highlights a dramatic CME eruption from unstable large filaments in the southwest limb of Active Region 13102. The X-ray observations reveal the eruption’s energy release and the dynamic structures associated with the CME. Keywords: Flare, CME Filters: Al_Poly |
(Prepared by Joy Velasquez)
The XRT instrument team is comprised of SAO, NASA, JAXA, and NAOJ.
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