Important locations

Copying files to your local computer

Example data analysis procedure (Version A)

  1. Go to the FACET elog: http://physics-elog.slac.stanford.edu/facetelog/
  2. Find the shift summary with information about the data sets taken, e.g., http://physics-elog.slac.stanford.edu/facetelog/show.jsp?dir=/2021/32/13.08&pos=2021-08-13T06:00:00
  3. Determine which run we want to analyze, e.g., http://physics-elog.slac.stanford.edu/facetelog/show.jsp?dir=/2021/32/13.08&pos=2021-08-13T04:50:00
  4. (Log into facet-srv20 (you need permission, see FACET Computing): ssh fphysics@facet-srv20 -Y): only needed if the data analysis should be done on the cluster
  5. Optional: verify, that you can access the path shown in the elog entry
  6. Log into a general SLAC computing note from your own computer, e.g., ssh smeuren@rhel6-64.slac.stanford.edu
  7. Get your personal home folder via pwd, e.g., /afs/slac.stanford.edu/u/gu/smeuren
  8. Log into mcclogin, e.g., ssh smeuren@mcclogin -Y
  9. smeuren@mcclogin $ scp -r fphysics@facet-srv20:/nas/nas-li20-pm00/E305/2021/20210813/E305_00292 /afs/slac/u/gu/smeuren/


Example data analysis procedure (Version B)

Here is how to copy data using the fastx3 webinterface:

Copy the data from fastx3 to your personal computer:

Nodes with access to the internet

  1. Log into mcclogin, e.g., ssh smeuren@mcclogin -Y
  2. Log into, e.g., ssh smeuren@rhel6-64.slac.stanford.edu -Y
  3. start firefox (slow due to x-forwarding)

Read the metadata (matlab) files from python

  1. Get access to python (e.g., on facet-srv01): source $PACKAGE_TOP/anaconda/envs/python3.7env/bin/activate On rhel: source /afs/slac/g/lcls/package/anaconda/envs/python3.7env/bin/activate (one might need to explicitly start a bash shell)
  2. run python3