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This is done on hex2. Below, post-processing of AUST10 is shown as an aexample
Binary files (
snratio) are in
Make sure the directory 1234 for AUST10 is in
$ cd /data/AUSTRAL/aust10/1234 $ aedit -f alist.ed.out > edit dup SNR > psfile 1234.psfile_rf give full path to 1234.ovex file $ qcodes
when prompted, enter “aust10 1234”
This will create the file
1234.qcodes. Note qcodes expects to find the psfile in
/data/AUSTRAL/aust10/1234/1234.psfile_rf so check path is correct and change name of aust?? directory to lower case if needed. Alternatively, you can use “AUST10 1234” at the prompt in which case it will look in
You need the a priori SNR values which sked can generate. Currently sked is only running on a virtual machine on Jim's Mac! A-priori SNRs for AUST10 to AUST16 have been done. To do this, on the virtual machine:$ cd ~/schedules $ ./snrlist.sh aust11.skd $ ./snrlist.sh aust12.skd $ ./snrlist.sh aust13.skd $ ./snrlist.sh aust14.skd $ ./snrlist.sh aust15.skd $ ./snrlist.sh aust16.skd
All output files copied to
Back on hex2:
$ cd /data/AUSTRAL/aust10 $ mkdir SNR $ cd SNR
Copy the final alist file,
aust10_snr.apriori to the SNR directory.
You can get
stations.m from a previous experiment. Make sure the single letter codes match the two letter codes as defined earlier in the processing. Check by looking in a scan sub-directory (e.g.
../1234/185-0700/<source>.wzpetk) and edit the
stations.m file if necessary.
In the case of aust10:
Ke=i Hb=L Ht=g Yg=x
To avoid memory stack problems in snratio:
$ ulimit -s 102400 $ ~/bin/snratio aust10_snr.apriori alist.ed.out
This produced an error message:
“Could not match S baseline Lg from alist”
Lg = Hb-Ht, but the apriori file has this baseline as Ht-Hb (i.e. gL), so edit line 2 of the apriori file and change both instances of Ht-Hb to Hb-Ht. OK now
/data/AUSTRAL/Stations_Codes_CR.txt agrees with coding used for experiment
Create a file called
/data/AUSTRAL/aust10/1234/aust10.txt with some header information (see previous experiments for examples)
Put vex and v2d files from Curtin (name them
For the correlation dates use the Curtin data release date as the end and one day previous as the start.
Output file is called
Edit the file and add any correlator or station notes by hand. Note the database entry is currently blank.
If you are producing a tarball to send to Washington, you can considerably reduce the size of the file by removing the baseband data before using tar. To do this, go to the
1234 directory and run
find . -name '*..*' -delete
This will reduce the size of the gzipped tarball from ~1.6 GB to ~100 MB.