ssh lxplus

# Prepare
eosmount ~/eos
mkdir temp
cd temp

# Clone the repository
git clone https://github.com/KKostya/AMSDeutons.git
# git clone git@github.com:KKostya/AMSDeutons.git

# Compile
cd AMSDeutons
source enable
cd 0.export2bq
make

# Run test
./bin/dst -o outputFolder -n 10000 -f ${HOME}/eos/ams/Data/AMS02/2014/ISS.B900/std/1439205227.00000001.root

DEPENDANCE: _The bigQuery project: git@github.com:wizmer/bigQuery.git. Add it to your PYTHONPATH

USAGE:

1. If the tables 'AMS.cutoffs' and 'AMS.timeInSecInData' need to be recreated, delete them (this can be done at: https://bigquery.cloud.google.com/queries/ams-test-kostya) and then run: ./tableManagement/createCutoffTable.sh ./tableManagement/createTimeInSecInDataTable.sh

   The above queries require to process the entire dataset and might be expensive in term of money (I am not so sure)

2. Create the 'param.json' file containing all the parameters required (like binnings, cuts,...): Run: python createParamFile.py

3. Run the analysis Run: python run.py