Python scripts and jupyter notebooks to analyse the SO/PHI-HRT data from the Active Region Long Term campaign in October 2023
Co-coordinators: Jonas Sinjan and Laura Hayes.
- Tracked one new active region that emerged a few days prior on the backside of the Sun.
- SO/PHI-HRT started tracking just past quadrature, with the AR at disc centre for SO/PHI-HRT, and very close to the limb in SDO/HMI.
- At Oct 17 11:00 this active region was a disc centre for SDO/HMI.
- Campaign interuppted for a polar campaign co-ordinated with Hinode.
- Tracked a different active region that again emerged a few days prior.
- Unfortuneately the pores that emerged did not develop into strong sunspot(s).
- reproject HMI Ic onto HRT detector frame
- cross-correlate with HRT icnt and find X-Y translation
- output the CRPIX and CRVAL errors to json files
- reproject HRT blos or icnt onto HMI detector frame
- uses WCS errors calculated prior
- outputs remapped HRT and target HMI maps as sunpy map objects to pickles
- identical to
reproject_pipeline.py
but instead computes the$\mu$ value in each HRT pixel - reprojects these
$\mu$ values onto HMI detector frame - computes the
$\mu$ values in the HMI detector frame - outputs these
$\mu$ maps as sunpy map objects to pickles
- input start and end time
- finds HRT and HMI file pairs
- used as input object for other pipelines
src/download_all_hmi_files.py
-> Download HMI files that correspond to HRT files from JSOC using drms
- Find light-travel corrected time on EARTH for each input HRT file
- Downloads the desired HMI file such that each HRT file has corresponding HMI file