Last updated: 2019.11.5

Youngjoo Yun ( yjyun(at)kasi.re.kr )

Download: kvnpipe_line.zip

PDF: kvn_pipeline_maser.pdf

This pipeline is a set of the python scripts for data reduction of the KVN multi-frequency, single polarization observations toward the stellar maser sources.

1. AIPS

2. Obit and ParselTongue

• Installation instructions for AIPS can be found here.
• Installation instructions for Obit and ParselTongue can be found here.

3. Check the installed ParselTongue scripts (e.g. files in ~/local/parseltongue-2.3/bin/).

• ~/local/parseltongue-2.3/bin/ParselTongue
• ~/local/parseltongue-2.3/bin/ParselFileServer
• ~/local/parseltongue-2.3/bin/ParselTongueServer
• ~/local/parseltongue-2.3/bin/TVServer
• Make sure Python can find the installed ParselTongue modules by checking the contents of the above files.

1. Extract kvnpipe_line.zip .

• KVN pipeline for maser consists of seven files.
  • kvntask.py
  • crfuncs.py
  • p16sc04a.py
  • input.txt
  • fring.input

2. Copy the each file into the proper locations as below.

• Pipeline path (e.g. ~/pipeline)
  • ~/pipeline/kvntask.py
  • ~/pipeline/crfuncs.py
• Work path (e.g. ~/reduction/p16sc04a)
  • ~/reduction/p16sc04a/p16sc04a.py
  • ~/reduction/p16sc04a/input.txt
  • ~/reduction/p16sc04a/fring.input

3. Edit your shell environment (e.g. ~/.bashrc)

• Add the pipeline directory to “PYTHONPATH” system environment.
• e.g. export PYTHONPATH=“~/pipeline:$PYTHONPATH”

4. Edit input.txt and fring.input.

• The contents of these files correspond to the setup parameters of the target observation.

5. Edit p16sc04a.py.

• Append the ParselTongue path in the first line.
• e.g. #!~/local/parseltongue-2.3/bin/ParselTongue

6. Run script in your work path.

cd ~/reduction/p16sc04a/
chmod u+x p16sc04a.py
./p16sc04a.py input.txt

Any questions and suggestions are welcome.

yjyun(at)kasi.re.kr