SACLA2016A8015

Data analysis repository for SACLA experiment between June 23-26, 2016 (proposal number: 2016A8015)

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DataConvert

• VPN into your SACLA account using CISCO:

  hpc.spring8.or.jp

• Login to one of the analysis nodes at SACLA:

  ssh -X fperakis@xhpcfep

  qsub -I -vDISPLAY

• Run MakeTagList to extract tag numbers from data:

  MakeTagList -b 3 -r 219560 -inp condition0001.txt -out tag_number0001.list

• Run DataConvert4 to extract the data to HDF5 format:

  DataConvert4 -f test0001.conf -l tag_number0001.list -dir ./ -o test0001.h5

• Run DataCompress3.py using Python 2.7 to produce averages for each scan position:

  python2.7 dataCompress3.py -f 259782.h5 -c run259782_out.csv -a

Information

• Check run status in experiment spreadsheet on Google Drive

  Data sheet shows login information

  Runs sheet shows run information

• Check experiment run log on Google Drive

• Check data analysis information at HPC