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[[KAGRA/Subgroups/CAL/GstLAL/tutorials/step0|Next (step 0)]]
[[KAGRA/Subgroups/CAL/GstLAL/tutorials|Tutorials]]
 * [[KAGRA/Subgroups/CAL/GstLAL/tutorials/step0|Next (step 0)]]
 * [[KAGRA/Subgroups/CAL/GstLAL/tutorials|Tutorials]]

Preparation

  • The python script in these tutorials are available at KAGRA cal git repository

> git clone USER@HOST:/opt/cal/git/kagra-cal.git
Cloning into 'kagra-cal'...
Warning: untrusted X11 forwarding setup failed: xauth key data not generated
remote: Counting objects: 45, done.
remote: Compressing objects: 100% (37/37), done.
remote: Total 45 (delta 10), reused 0 (delta 0)
Receiving objects: 100% (45/45), 20.38 KiB | 6.79 MiB/s, done.
Resolving deltas: 100% (10/10), done.

> ls kagra-cal/Observation/Phase1/tutorials/
README          bode.py         filt            gentd.py        trf
adder           demod           flag            lcache
asd             extr            genfl           lines
  • Please ask to Yokozawa-san to get the git user account and hostname
  • You need a machine where LAL, LDAStools and GstLAL are installed
  • It is recommended to use one of the KAGRA machines where all the softwares are installed

  • You should activate LAL and GstLAL environmental variables

setenv LAL_PREFIX [YOUR_LAL_INSTALLATION_DIR] 
setenv GSTLAL_PREFIX [YOUR_GSTLAL_INSTALLATION_DIR]
source $LAL_PREFIX/etc/etc/lal-user-env.csh
setenv GST_PLUGIN_PATH $GSTLAL_PREFIX/lib/gstreamer-1.0
setenv PYTHONPATH ${PYTHONPATH}:$GSTLAL_PREFIX/lib64/python2.7/site-packages

KAGRA/Subgroups/CAL/GstLAL/tutorials/prep (last edited 2018-08-07 23:49:35 by SadakazuHaino)