Initial instructions for 2010: Difference between revisions

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In the terminal window, <tt>cd</tt> into the directory <tt>/nrao</tt>, which is where the relevant data files and calibration models are stored.  A directory listing, using <tt>ls -R</tt> should show the following:
In the terminal window, <tt>cd</tt> into the directory <tt>/nrao</tt>, which is where the relevant data files and calibration models are stored.  A directory listing, using <tt>ls -R</tt> should show the following:
<pre>
<pre>
% ls -R
bash-3.2$ ls
ContiuumMosaic_Friday_EVLA_3C391:
AdvancedTopicsLine_Tuesday_EVLA_3C391 
casapy-stable-30.2.11705-001-64b      MMLineMosaic_Tuesday_CARMA_M99
ContiuumMosaic_Friday_EVLA_3C391       SpectralLine_Friday_EVLA_IRC10216
data                                  summerschool_data
 
% ls ContiuumMosaic_Friday_EVLA_3C391
3c391_ctm_mosaic_10s_spw0.ms
3c391_ctm_mosaic_10s_spw0.ms


AdvancedTopicsLine_Tuesday_EVLA_3C391:
% ls AdvancedTopicsLine_Tuesday_EVLA_3C391
3c391_line_10s_summerschool.ms
3c391_line_10s_summerschool.ms


SpectralLine_Friday_EVLA_IRC10216:
% ls SpectralLine_Friday_EVLA_IRC10216
day2_TDEM0003_10s_norx
day2_TDEM0003_10s_norx


MMLineMosaic_Tuesday_CARMA_M99:
%ls MMLineMosaic_Tuesday_CARMA_M99
M99_CARMA.fits
fits
</pre>
</pre>


Change directories (<tt>cd</tt>) into the directory relevant for your tutorial.  Start CASA with <tt>casapy</tt> and begin the relevant tutorial.
Change directories (<tt>cd</tt>) into the directory relevant for your tutorial.  Start CASA with <tt>casapy</tt> and begin the relevant tutorial.


== DSOC ==
== DSOC ==
Line 58: Line 62:
In the terminal window, <tt>cd</tt> into the directory <tt>/nrao</tt>, which is where the relevant data files and calibration models are stored.  A directory listing, using <tt>ls -R</tt> should show the following:
In the terminal window, <tt>cd</tt> into the directory <tt>/nrao</tt>, which is where the relevant data files and calibration models are stored.  A directory listing, using <tt>ls -R</tt> should show the following:
<pre>
<pre>
% ls -R
% ls
ContiuumMosaic_Friday_EVLA_3C391:
AdvancedTopicsLine_Tuesday_EVLA_3C391  Desktop
casapy-stable-30.2.11705-001-64b      MMLineMosaic_Tuesday_CARMA_M99
ContiuumMosaic_Friday_EVLA_3C391      SpectralLine_Friday_EVLA_IRC10216
data                                  summerschool_data
 
% ls ContiuumMosaic_Friday_EVLA_3C391
3c391_ctm_mosaic_10s_spw0.ms
3c391_ctm_mosaic_10s_spw0.ms


AdvancedTopicsLine_Tuesday_EVLA_3C391:
% ls AdvancedTopicsLine_Tuesday_EVLA_3C391
3c391_line_10s_summerschool.ms
3c391_line_10s_summerschool.ms


SpectralLine_Friday_EVLA_IRC10216:
% ls SpectralLine_Friday_EVLA_IRC10216
day2_TDEM0003_10s_norx
day2_TDEM0003_10s_norx


MMLineMosaic_Tuesday_CARMA_M99:
% ls MMLineMosaic_Tuesday_CARMA_M99
M99_CARMA.fits
fits
</pre>
</pre>


Change directories (<tt>cd</tt>) into the directory relevant for your tutorial.  Start CASA with <tt>casapy</tt> and begin the relevant tutorial.
Change directories (<tt>cd</tt>) into the directory relevant for your tutorial.  Start CASA with <tt>casapy</tt> and begin the relevant tutorial.
1:[[EVLA Tutorials]]<br>
2:[[EVLA Tutorials |EVLA Tutorials]]<br>

Latest revision as of 18:39, 10 June 2010

The data reduction tutorials will be taking place across the NMT campus, specifically in Weir Hall (Rm. 128 and 209), the Martin Speare Building (Rm 23), and the Array Operations Center/Dominici Science Operations Center. There are slight differences in installations between the various buildings. This document describes how to use CASA in the various buildings.

Weir Hall and Speare Bldg.

Gaining Access

The data reduction tutorials will use the imaging account. If the machine you will be using is not already logged into this account, do so. The tutorial leads will provide the password.

The home directory for the imaging account is common to all machines. Do not modify any files in the home directory.

First Steps

Each machine has a local installation of CASA and a local copy of the relevant data files and calibration models.

Do not use the Firefox browser. If you attempt to do so, you'll most likely be met with error messages.

Second Step

In the terminal window, cd into the directory /nrao, which is where the relevant data files and calibration models are stored. A directory listing, using ls -R should show the following:

bash-3.2$ ls
AdvancedTopicsLine_Tuesday_EVLA_3C391  
casapy-stable-30.2.11705-001-64b       MMLineMosaic_Tuesday_CARMA_M99
ContiuumMosaic_Friday_EVLA_3C391       SpectralLine_Friday_EVLA_IRC10216
data                                   summerschool_data

% ls ContiuumMosaic_Friday_EVLA_3C391
3c391_ctm_mosaic_10s_spw0.ms

% ls AdvancedTopicsLine_Tuesday_EVLA_3C391
3c391_line_10s_summerschool.ms

% ls SpectralLine_Friday_EVLA_IRC10216
day2_TDEM0003_10s_norx

%ls MMLineMosaic_Tuesday_CARMA_M99
fits

Change directories (cd) into the directory relevant for your tutorial. Start CASA with casapy and begin the relevant tutorial.

DSOC

Gaining Access

The data reduction tutorials will use the synimgwk account. If the machine you will be using is not already logged into this account, do so. The tutorial leads will provide the password.

First Steps

Each machine has a local installation of CASA and a local copy of the relevant data files and calibration models.

Second Step

In the terminal window, cd into the directory /nrao, which is where the relevant data files and calibration models are stored. A directory listing, using ls -R should show the following:

% ls
AdvancedTopicsLine_Tuesday_EVLA_3C391  Desktop
casapy-stable-30.2.11705-001-64b       MMLineMosaic_Tuesday_CARMA_M99
ContiuumMosaic_Friday_EVLA_3C391       SpectralLine_Friday_EVLA_IRC10216
data                                   summerschool_data

% ls ContiuumMosaic_Friday_EVLA_3C391
3c391_ctm_mosaic_10s_spw0.ms

% ls AdvancedTopicsLine_Tuesday_EVLA_3C391
3c391_line_10s_summerschool.ms

% ls SpectralLine_Friday_EVLA_IRC10216
day2_TDEM0003_10s_norx

% ls MMLineMosaic_Tuesday_CARMA_M99
fits

Change directories (cd) into the directory relevant for your tutorial. Start CASA with casapy and begin the relevant tutorial.