Editing LST1School2021 MVA

* Login in La Palma cluster instructions: [https://indico.cta-observatory.org/event/3687/attachments/20250/28790/Requirements.pdf Requirements.pdf]

* Running remote notebook in the La Palma IT cluster
<pre style="color: blue">
ssh cp01
source /fefs/aswg/software/conda/etc/profile.d/conda.sh
conda activate lstchain-v0.8.2
jupyter notebook --no-browser
ssh -NfL localhost:8889:localhost:8889 NAME.SURNAME@cp01
Open URL of notebook in local browser
</pre>

* Install lstchain in your local machine
<pre style="color: blue">
LSTCHAIN_VER=0.8.3
wget https://raw.githubusercontent.com/cta-observatory/cta-lstchain/v$LSTCHAIN_VER/environment.yml
conda env create -n lst -f environment.yml
conda activate lst
pip install lstchain==$LSTCHAIN_VER
pip install lstmcpipe==0.5.1
</pre>

* Repository of example notebooks: [https://github.com/cta-observatory/2022_01_lstchain_school 2022_01_lstchain_school]

* Install school software/data in your local machine & get data
https://github.com/cta-observatory/2022_01_lstchain_school/blob/main/README.md
<pre style="color: blue">
conda install -c conda-forge -n base mamba

git clone https://github.com/cta-observatory/2022_01_lstchain_school.git
cd 2022_01_lstchain_school

mamba env create -f environment.yml
mamba activate lst-school-2022-01

rsync -a cp01:/fefs/aswg/workspace/analysis-school-2022/ data/
</pre>

* LST1 + MAGIC analysis
<pre style="color: blue">
ssh cp01
source /fefs/aswg/software/conda/etc/profile.d/conda.sh
conda activate lst-school-2022-01-magic-lst1
jupyter notebook --no-browser
ssh -NfL localhost:8889:localhost:8889 NAME.SURNAME@cp01
</pre>

*GAMMALEARN
<pre style="color: blue">
cd /Users/monicava/LSTSCHOOL3/2022_01_lstchain_school/gammalearn
mamba env create -f environment_glearn.yml
conda activate glearn
</pre>