MiniCLEAN

The instructions on this page assume that you already have a local computing account; if not, see First Steps for New Users.

How to get started with MiniCLEAN

Papers and other Documents to get started with MiniCLEAN

• A very nice summary of the status of the detector and upcoming commissioning at SNOLAB in Sudbury, Canada:

 https://absuploads.aps.org/presentation.cfm?pid=12471

• The rat-pac tutorial (this is the SNO+ version). Take a look at the available RAT version on github and more info
  • https://github.com/rat-pac/rat-pac/blob/master/doc/Tutorial001.pdf

Some detailed links

• a nice article on recently developed analysis techniques

 Update on the MiniCLEAN Dark Matter Experiment.
 MINICLEAN Collaboration (K. Rielage (Los Alamos) et al.).  Mar 19, 2014.  9 pp. 
 Published in Phys.Procedia 61 (2015) 144-152.
 e-Print: arXiv:1403.4842 [physics.ins-det]  https://arxiv.org/pdf/1403.4842.pdf
 

• a Bayesian technique applied to the general problem of particle identification in single-phase liquid argon dark matter detectors here is a very nice article

  Improving Photoelectron Counting and Particle Identification in Scintillation Detectors with Bayesian Techniques.
  M. Akashi-Ronquest (Los Alamos) et al..  Aug 8, 2014.  15 pp.
  Published in Astropart.Phys. 65 (2015) 40-54.
  e-Print: arXiv:1408.1914 [physics.ins-det] https://arxiv.org/pdf/1408.1914.pdf

Getting a Vault Account

You must get a miniclean vault account, this can be obtained by emailing Kim Palladino. She will create the account and then send, to your email, the login information. You can check and must manage your account via https://deapclean.org/vault/profile/. When you update it, another account is created for you to access the RAT svn and documentation. The vault is the MiniCLEAN document/online database source. It is located here.

Set up RAT account

You will need a RAT account, this can only be obtained once you have a miniclean vault account. The RAT User Guide is here.

How to run MiniCLEAN RAT jobs with HTCondor

In order to use the computing resources at Wisconsin, one can submit HTCondor jobs to run simulation

ssh <username>@login02.hep.wisc.edu

# Make a valid voms-proxy
voms-proxy-init -valid 142:00

# Run runWiscJobs script to submit jobs
# To get help about options
# python  /cvmfs/lz.opensciencegrid.org/sw/bin/runWiscJobs.py -h

python /cvmfs/lz.opensciencegrid.org/sw/bin/runWiscJobs.py \
       --WorkFlow="ar39.mac_test1" \
       --Executable="farmoutRAT.sh" \
       --Experiment=miniclean \
       --nJobs=1 \
       --TransferInputFile="ar39.mac" \
       --HDFSProdDir=outputfile \
       --UserEnv="UserName=`whoami` " \
       --OutputDir="ar39.mac" \
       --Arguments="ar39.mac"

# If you want your output copied to HDFS, have your executable copy the output
# files to the directory you specify with --HDFSProdDir.

Executable example: farmoutRAT.sh

#!/bin/bash

wdir=$(pwd)

# Source the environment needed to run RAT
source /afs/hep.wisc.edu/ddm/ratcage/local/bin/geant4.sh
source /afs/hep.wisc.edu/ddm/ratcage/root-5.34.12/bin/thisroot.sh
source /afs/hep.wisc.edu/ddm/ratcage/env.sh

# Temporary directory that gets created on the execute node
tmpDir=$(mktemp -d --tmpdir="./")
cd $tmpDir

cp ../*.mac .
pwd

# Run the RAT
rat -o ar39_test1.root ar39.mac

mkdir -p ../outputfile

cd ../outputfile
ln -s ../$tmpDir/*.root .