Tutorials

Technical information for tutorials

Login

Each computer monitor has a label indicating the account to use, e.g. demo2, demo68, please only use the account that is on your monitor. If the computer is not already logged in, please login using the account on the monitor and the password on the whiteboard. If you find your computer is running Windows instead of Linux, simply reboot the computer. It will default to booting into Linux.

Software

The necessary software is installed on each computer and will already be in your path. There are icons for the Firefox web browser and Linux Terminal on the desktop.

CASA
- To start casa: type casa
AIPS
- To start AIPS: type aips tv=local
ALMA OT
- To start the ALMA OT type: ALMA-OT.sh
VLA OPT
- To start the OPT: open a web browser and go to...

Data

Every demo account has the following symlinks/directories in their home area:

alma - For NMT machines, this area will be pre-staged with the necessary
         data sets.  For AOC machines, users will need to copy data sets
         from ~/data/alma

         e.g. 
         cd ~/alma
         cp -r ~/data/alma/M100 .

  vla - For NMT machines, this area will be pre-staged with the necessary
         data sets.  For AOC machines, users will need to copy data sets
         from ~/data/vla

         e.g. 
         cd ~/vla
         cp -r ~/data/vla/G192_6s.ms .

  vlba - For NMT machines, this area will be pre-staged with the necessary
         data sets.  For AOC machines, users will need to copy data sets
         from ~/data/vlba

         e.g. 
         cd ~/vlba
         cp -r ~/data/vlba/* .

Logout

To logout of the computers on the NMT campus, click on the "Menu" icon in the bottom left of your screen and select the green logout icon.

To logout of the computers in the NRAO building, click on the red hat icon in the bottom left of your screen, then click on the "Leave" icon.

Issues

You may be asked to choose a password for a new "gnome keyring". If so, please click the "Continue/Cancel" button.

Make sure your username does not have a space (" ") in front of it when logging in.

Data Reduction Tutorials

Day 1 - Afternoons of June 3/6

ALMA General Data Reduction (CASA)

Short introductory lectures on CASA and basic ALMA calibration and imaging will be presented. The students will perform calibration and imaging steps using example scripts based on long-baselines observations of the SDP 81 lensed galaxy.

Time permits, a tutorial on self-calibration and the corresponding tutorial, based on observations of the TW Hya protoplanetary disk, will also be offered.

All the corresponding data and scripts are staged in the student's workstations (~/alma/SDP81 and ~/alma/selfcal_tutorial)

VLA General Data Reduction (CASA)

We will begin with a general introduction to VLA data reduction and CASA. Participants can choose any of the 4.5 CASAGuides :

Day 2 - June 8

ALMA Advanced Data Reduction (CASA)

Each students can choose to go through one or several of the following tutorials:

Demonstration of combining 12m-array, 7m-array, and Total Power data for barred spiral galaxy M100: https://casaguides.nrao.edu/index.php/M100_Band3_Combine_4.5 Data is staged in ~/alma/M100
Mosaic of the protostellar cluster IRAS16293-2422 at Band 9: https://casaguides.nrao.edu/index.php/IRAS16293_Band9_-_Imaging_for_CASA_4.5 Data is staged in ~/alma/IRAS16293
Multiscale imaging of Long Baseline Campaign observations of the HL Tau protoplanetary disk: https://casaguides.nrao.edu/images/1/1a/HLTau_Band6_Cont_Imaging.py https://casaguides.nrao.edu/images/f/fb/HLTau_Band7_Cont_Imaging.py Data is staged in ~/alma/HLTau
Self-calibration imaging tutorial based on observations of the TW Hya protoplanetary disk. This material may have been covered during the basic ALMA tutorial. Data and scripts are staged in ~/alma/selfcal_tutorial

VLA General Data Reduction (CASA)

Will begin with a general introduction to VLA data reduction and CASA. Participants can choose any of the 4.5 CASAGuides:

LWA Data Reduction (LWA Software Library)

Participants will learn how to reduce Long Wavelength Array (LWA) data. This will include imaging, beam forming and pulsar searching.

VLBA Spectral Line Astrometry (AIPS)

The participants will reduce VLBA phase-referenced data set and will perform the geodetic-like calibration to improve the astrometry and general quality of the image.