SanDix Processor (SanDP) is used for Analyzing the Data from SanDix Detector, see Documentation.
sandper --waveform --input /rawdata_path/rawdata.dat --event 100
sandper --process --input /rawdata_path/rawdata.dat --outpath /processed_path/
note: the processed data have same name as raw data with extension of .root instead of .dat
If you wish to develop SanDP, install it either on your machine or your account on Nilab server, please follow the instructions below.
SanDP is currently written by Python. We recommend Anaconda for the python distribution and environment management. If you already have Anaconda installed, skip this step. To install this in Linux do:
wget http://repo.continuum.io/archive/Anaconda3-2.4.0-Linux-x86_64.sh # Linux
bash Anaconda3-2.4.0-Linux-x86_64.sh # Say 'yes' to appending to .bashrc and specify the installation directory
conda install -q conda=4.1.1
Usually the steps above automatically create .bashrc file. Check the file by
cat ~/.bashrc
It should contains the following line:
export PATH="/home/<username>/anaconda3/bin:$PATH"
If not, add the line above to .bashrc file and source it by source ~/.bashrc
After Anaconda is installed, we can install our environment. Be noted that SanDP is written by Python 2.
conda create -n <your_environment> python=2.7 root numpy scipy matplotlib pandas libgcc jupyter ipykernel configparser libgfortran==1
Then activate your environment by
source activate <your_environment>
Solution to common issues can be found in FAQ (to be added) .
git clone https://github.com/darkmatter-ucsd/SanDP.git
Enter your user name and password for GitHub as SanDP is a private repository. We recommend you to add your SSH to GitHub to access your private repository without password.
Then install the package by:
cd SanDP python setup.py develop
The installation is done! To test if it's installed properly, check SanDP version by:
sandper version
If it prompts the right version, then congratulate and enjoy the package!