LST1School2021 MVA

• Login in La Palma cluster instructions: Requirements.pdf

• Running remote notebook in the La Palma IT cluster

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

• Install lstchain in your local machine

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

• Repository of example notebooks: 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

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/

• LST1 + MAGIC analysis

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

• GAMMALEARN

cd /Users/monicava/LSTSCHOOL3/2022_01_lstchain_school/gammalearn
mamba env create -f environment_glearn.yml
conda activate glearn