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ASKAP Science Data Processor software - ASKAPsoft Version 0.19.4

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Title ASKAP Science Data Processor software - ASKAPsoft Version 0.19.4
 
Creator Juan Guzman
 
Subject Astronomical and Space Sciences not elsewhere classified
 
Description ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including:

* Calibration
* Spectral line imaging
* Continuum imaging
* Source detection and generation of source catalogs
* Transient detection

ASKAPsoft is developed as a part of the CSIRO Australian Square Kilometre Array Pathfinder (ASKAP) Science Data Processor component. ASKAPsoft is a key component in the ASKAP system. It is the primary software for storing and processing raw data, and initiating the archiving of resulting science data products into the data archive (CASDA).

The processing pipelines within ASKAPsoft are largely written in C++ built on top of casacore and other third party libraries. The software is designed to be parallelised, where possible, for performance.

ASKAPsoft is designed to be built and executed in a standard Unix/Linux environment and core dependencies must be fulfilled by the platform. These include, but are not limited to, a C/C++/Fortran compiler, Make, Python 2.7, Java 7 and MPI. More specific dependencies are downloaded by the ASKAPsoft build system and are installed within the ASKAPsoft development tree. Specific to the Debian platform, after a standard installation of Debian Wheezy (7.x) the following packages will need to be installed with apt-get:

* g++
* gfortran
* openjdk-7-jdk
* python-dev
* flex
* bison
* openmpi-bin
* libopenmpi-dev
* libfreetype6-dev
* libpng12-dev

More information regarding the building, installation and running of the software can be found in the README file in the root of the file structure that forms this collection.

Source code can be accessed via the links in Related Materials section.

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A patch release covering the pipeline scripts and the processing
software. The following bugs are fixed:

* The pipeline configuration parameter FOOTPRINT_PA_REFERENCE will
now over-ride the value of footprint.rotation in the scheduling
block parset. Additionally, the scheduling block summary metadata
files (created in the pipeline working directory) are now not
regenerated if they already exist.
* The metadata collection in the pipeline now does not fail if a
FIELD in the measurement set has 'RA' in its name.
* There was a memory leak in Selavy, causing an error to be thrown
when dealing with fitted components, specifically when the
numGaussFromGuess flag was set to false and a fit failed. The code
now falls back to whatever the initial estimate for components was,
even if that has fewer than the maximum number indicated by
maxNumGauss.
* There was a half-pixel offset enforced in the location of the
fitted Gaussian when fitting to the restoring beam when
imaging. This was resulting in a slightly incorrect restoring
beam.
* If there are multiple MSs in the SB directory, one can be processed
by giving MS_INPUT_SCIENCE its full path, setting the SB_SCIENCE
parameter appropriately, and putting DIR_SB="".
 
Publisher CSIRO
 
Contributor Matthew Whiting
Max Voronkov
Daniel Mitchell
Stephen Ord
Daniel Collins
Malte Marquarding
Paulus Lahur
Tony Maher
Ger Van Diepen
Keith Bannister
Xinyu Wu
Emil Lenc
Jonathan Khoo
Eric Bastholm
 
Date 2017-11-14
 
Type —
 
Format —
 
Identifier csiro:26933
 
Language —
 
Coverage —
 
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