Here we describe the various scripts we are using for the NGC 1333 project. Most of them will be based on the Miriad package, but we will also be using DS9, KARMA and NEMO.
MIS (Miriad Interferometry Singledish) toolkit
This is our CVS based module to organize all our reduction scripts and store the parameters important for them as well. We separate these in a script independant way, so we allow anybody to use csh, sh, python, fortran, C, C++, Java, ......
If you want to grab a copy of MIS, for now use our CVS repository version:
cvs -d :pserver:$USER@cvs.astro.umd.edu:/home/cvsroot checkout mis
where $USER is your given username in CVS (or use anonymous.
If you have never used CVS before, get your introduction from our CARMA pages here. If you need an account, you will need to email Peter your preferred username, and the hashed output of the password generator (details in that link) via the command
perl -e 'print crypt("my_password","b6"), "\n";'
and he better not get the response b60j72OwWnjlk from you!!!
Once you have obtained MIS, get it read for installation:
cd mis ./configure source mis_start.csh
and you are in principle ready to use the MIS scripts. There are some additional powerful options to construct automated pipelines, but that is for another chapter.
Occasionally there will be updates. If you are not a developer, and just want to update MIS from what others have done, this should work in most cases:
is simply a shortcut to committing all your MIS changes back to CVS for others to pick up.
Not all scripts have been properly MIS-pipelined yet! Keywords followed by = means they can be input in this script, keywords preceded by = means they are set by this script
- getdata: project= rawdata= ary= track= =cvis
- map_inttime: source= =np
- reduceSD.csh: example of single dish data reduction (using sinbad/sinpoly/varmaps) - MPW
A simple non-pipelined session could be as follows:
mkdir data10 pipepar -c rawdata=/home/teuben/carma/work/n1333/rawdata getdata project=cx323.1E_89NGC133.17 getdata track=22 ary=E report map_inttime
A more advanced session making the inttime map would be to first construct a pipeline consisting of getdata and map_inttime for all projects, and then use the piperun command to execute this.
piperun -c n1333.lis 'pipeline 2 getdata map_inttime > Pipefile; pipepar -c project=%s; pipe all'
In each project directory you will then have a xyt.tab file for the next stage. For example to get a listing of how many pointings each track had, use
piperun n1333.lis pipepar -v project -v np