Six lessons · Magnetic reconnection and solar-flare signals
From magnetic stress to reconnection
A stressed magnetic field can move the surrounding gas. Begin with that physical picture, follow flux and energy through a small fluid calculation, then open a real X-ray file and the primary papers on thin sheets and electrons.
A physical picture, then a calculation
1 · L1
Where a solar flare finds its energy
A magnetic field can store energy and push plasma into motion. Follow the release, from a thin current layer to measured X-ray brightening.
2 · L1
When magnetic flux follows the fluid
Derive flux freezing with a moving loop. Define the magnetic potential, distinguish resistivity from diffusivity, and test the ideal limit.
3 · L2
How a thin current sheet sets the pace
Derive the Sweet–Parker estimate from mass flow and electric-field balance. Keep sheet length, viscosity and instability growth distinct.
4 · L3
Follow energy through a reconnection calculation
Derive the coupled MHD energy transfer and reproduce a conservative calculation that still changes ideal null flux incorrectly.
5 · L3
Recompute a flare from one GOES file
Read a fixed NOAA file, decode UTC and quality flags, and reproduce two X-ray peaks and conditional band fluence.
6 · L4
Where the fluid picture of reconnection runs out
Read thin-sheet growth, resolved island merger and MMS electron-scale measurements with their own equations, axes and limits.
Run the independent science
The small package contains independent Python, the exact NOAA input, our synthetic MHD states and source/units/failure notes. The pinned dependencies are listed before the offline commands.
- solar-reconnection-science.zip6.33 MB
- include-manifest.json0.01 MB
- README-science.md0.01 MB
- runtime-domain-reference.json0.21 MB
- goes-reference-results.json0.01 MB
- retained-counterexamples.json0.00 MB
Exact files and reuse terms
solar-reconnection-science.zip
6325678 bytes
SHA-256: 4f680fc833816eb4ae27fd1bce178ee61af985c0f800097e86e11cd489710f07
include-manifest.json
10996 bytes
SHA-256: 363ff93f8e96ae524583d067b560f865ff526021cb45bc725a21efd41161e405
README-science.md
9685 bytes
SHA-256: f0aee6da22e4e5ff73aa326ee9b8b3028601bed9b1e2a9974056588db417d32a
runtime-domain-reference.json
208128 bytes
SHA-256: 33cdb0c1deec2889759846f572b8d32ce1da3c2de9278e549a068bece7391f5d
goes-reference-results.json
5924 bytes
SHA-256: cc4e4785d66571658b1824d9c4aa5fdacfdba5f0643c2f126245836771a5c197
retained-counterexamples.json
1826 bytes
SHA-256: 1e89efaf39a01b431ea1aeb75c8b9a108f508a4ab1972351e47df68266db561e
NOAA permits unrestricted use and redistribution of the selected original input. New standalone Python is MIT; our data, plots and documents are CC BY4.0 with source attribution. Original publication PDFs and website Engine code are excluded.