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astro-alexis e8bec01f2e first working version. Still has science issues
2025-06-02 15:21:35 +02:00
data harps_red_2d 2024-11-28 15:02:39 +01:00
paper paper idea 2024-04-30 14:28:03 +02:00
.gitignore gitignore 2024-04-30 14:27:52 +02:00
01-queryESOarchive.py improve comments 2024-04-30 13:50:45 +02:00
02-download-science-data.py handle error less than 50 files 2024-11-28 09:29:09 +01:00
03-download-calib-data.py add calib-night pickle dump 2024-11-28 09:37:34 +01:00
04-QC-and-prepare-calib.py improve doc 2024-04-30 14:04:23 +02:00
05-reduce-calibs-parallel.sh init 05 06 07 2024-04-30 14:07:58 +02:00
05-reduce-calibs.sh init 05 2024-04-30 14:05:10 +02:00
06-prepare-calibs-for-two-beams-reduction.py init 05 06 07 2024-04-30 14:07:58 +02:00
07-reduce-calibs2-parallel.sh init 05 06 07 2024-04-30 14:07:58 +02:00
07-reduce-calibs2.sh init 05 06 07 2024-04-30 14:07:58 +02:00
08-copy-calib-files-to-science.py init 2024-04-30 14:09:13 +02:00
09-reduce-science-parallel.sh init 2024-04-30 14:09:13 +02:00
10-demod-parallel.sh improve harpspol 2024-06-14 11:02:02 +02:00
11-combine-parallel.sh combine parallel 2024-11-21 13:58:21 +01:00
11_combineRedBluedemod_results.py SNRmax for blue/red/fullspectrum implemented 2024-06-21 16:08:42 +02:00
calib-nights.pickle merci Loic 2024-11-18 16:50:13 +01:00
harpspol_demodulate.py handle all NaN error during interpolation, usually order 00 blue 2024-12-03 10:33:58 +01:00
harpspol_demodulate2.py first working version. Still has science issues 2025-06-02 15:21:35 +02:00
README.md fix command duplication 2024-11-21 13:41:59 +01:00

README.md

HARPSpol x pyReduce

Reducing all the polarimetry HARPS data in the ESO archive using pyReduce. The goal is to obtain a polarimetry-focussed and consistent reduction for all public data, before publishing the reduced data online on PolarBase.

I am publishing the full workflow here for transparency, in case you want to run such a reduction yourself. Things are tricky, and I try to document things, but I get it if something seems obscure to you. You are welcome to contact me but I don't garantee an answer (heck, I might be out of academia already by the time you get in touch :D).

Warning

Missing in the pipeline:

Run the following command in data/science after you have run

for a in *fits ; do set=$(dfits $a | fitsort -d TPL.START | cut -f2 ); mkdir -p $set; mv $a $set; done