Difference between revisions of "LST1Analysis MVA"
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* Low level DRS4 calibration <br/>calibration.hdf5 | * Low level DRS4 calibration <br/>calibration.hdf5 | ||
| − | Convert example jupyter notebook to python | + | === Run directly jupyter notebook === |
| + | <pre style="color: blue"> | ||
| + | cd cta-lstchain/notebooks | ||
| + | jupyter notebook | ||
| + | -> select Analyze_real_muon_data.ipynb | ||
| + | <pre/> | ||
| + | |||
| + | |||
| + | === Convert example jupyter notebook to python === | ||
<pre style="color: blue"> | <pre style="color: blue"> | ||
cd cta-lstchain/notebooks | cd cta-lstchain/notebooks | ||
Revision as of 14:56, 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
Run directly jupyter notebook
cd cta-lstchain/notebooks jupyter notebook -> select Analyze_real_muon_data.ipynb <pre/> === Convert example jupyter notebook to python === <pre style="color: blue"> cd cta-lstchain/notebooks jupyter nbconvert --to python Analyze_real_muon_data.ipynb
Fix path of data, pedestal and calibration and run!
Lines to fix:
source = event_source(input_url="../data/LST-1.4.Run00442.0001.fits.fz",max_events=None)
pedestal_path="../pedestal/pedestal_file_run446_0000.fits",
with HDF5TableReader('../calibration/calibration.hdf5') as h5_table:
python Analyze_real_muon_data.py
