Difference between revisions of "LST1Analysis MVA"
(→Analysis of LST1 data) |
(→Analysis of LST1 data) |
||
Line 23: | Line 23: | ||
* Pedestal run <br/>pedestal_file_run446_0000.fits | * Pedestal run <br/>pedestal_file_run446_0000.fits | ||
* Low level DRS4 calibration <br/>calibration.hdf5 | * Low level DRS4 calibration <br/>calibration.hdf5 | ||
+ | |||
+ | Convert example jupyter notebook to python | ||
+ | <pre style="color: blue"> | ||
+ | cd cta-lstchain/notebooks | ||
+ | jupyter nbconvert --to python Analyze_real_muon_data.ipynb | ||
+ | </pre> |
Revision as of 13:53, 13 November 2019
Contents
Location of LST1 data at PIC
- Directory: /pnfs/pic.es/data/cta/LST/Data/ZFITS/
- Web: LST1 ZFITS files on the web
Same user/password as in CTA portal
Location of LST1 at La Palma
- Directory: /fefs/onsite/data
Use cp01/cp02 to copy out data, never the login machine
Run summary info/data-check
- Run-summary web in GAE
LST1 account
Analysis of LST1 data
Donwload LST analysis software cta-lstchain (wrapper that uses centrally supported ctapipe routines)
git clone https://github.com/cta-observatory/cta-lstchain.git cd cta-lstchain conda env create -f environment.yml conda activate cta
Files needed to analyze golden Run 442 (20190527):
- Pedestal run
pedestal_file_run446_0000.fits - Low level DRS4 calibration
calibration.hdf5
Convert example jupyter notebook to python
cd cta-lstchain/notebooks jupyter nbconvert --to python Analyze_real_muon_data.ipynb