Difference between revisions of "ADMIT Products and Usage"
(Created page with "== Intro/What is ADMIT? == The ALMA Data-Mining Toolkit (ADMIT) is an execution environment and set of tools for analyzing image data cubes. ADMIT is based on python and desi...")
Revision as of 17:05, 18 October 2019
Intro/What is ADMIT?
The ALMA Data-Mining Toolkit (ADMIT) is an execution environment and set of tools for analyzing image data cubes. ADMIT is based on python and designed to be fully compliant with CASA and to utilize CASA routines where possible. ADMIT has a flow-oriented approach, executing a series of ADMIT Tasks (AT) in a sequence to produce a sequence of outputs. For the beginner, ADMIT can be driven by simple scripts that can be run at the Unix level or from inside of CASA. ADMIT provides a simple browser interface for looking at the data products, and all major data products are on disk as CASA images and graphics files. For the advanced user, ADMIT is a python environment for data analysis and for creating new tools for analyzing data.
For a detailed quick-look at ALMA images, standardized ADMIT “recipes” can be run which produce various products depending on the image type. For continuum images, ADMIT simply finds some of the basic image properties (RMS, peak flux, etc) and produces a moment map. For cube images, ADMIT will analyze the cube, attempt to identify spectral features, and create moment maps of each identified spectral line.
ADMIT does not interact with u,v data or create images from u,v data; CASA should be used to create images. ADMIT provides a number of ways to inspect your image cubes. The astronomer can then decide whether the ALMA image cubes need to be improved, which requires running standard CASA routines to re-image the u,v data. If new images are made, the ADMIT flow can be run on these new image cubes to produce new set of ADMIT products.
Obtaining ADMIT and data for this guide
For this CASA Guide, we will go through creating an ADMIT product of some science verification data and then inspect the output. You’ll of course need CASA installed (http://casa.nrao.edu/casa_obtaining.shtml) as well as ADMIT. To install ADMIT from scratch, you’ll need to clone the source code using git:
git clone https://github.com/astroumd/admit
If this method doesn't work for whatever reason, you can also use wget and then untar the file:
wget http://admit.astro.umd.edu/admit.tar.gz tar zxf admit.tar.gz
Then execute the configure step to create the necessary environment replacing "X" with the necessary software versions.
ls cd admit_1.X.X ./configure --with-casa-root=/path/to/casa-release-X.X.X
Once you have run the configure script, simply source the admit_start.sh script before executing any ADMIT commands.
If you want to check that ADMIT is set up, you can type
In your terminal after sourcing the start script and you should see the directory paths and versions of ADMIT. For more details, please see:
For this guide, we’ll be using the data from the Antennae Band 7 CASA Guide. We’ll just need the reference images, Antennae_Band7_ReferenceImages.tgz, which are available here:
Untar the package in your working area.