Record Details

ASKAP Science Data Processor software - ASKAPsoft Version 0.23.2

CSIRO RDS Repository

View Archive Info
 
 
Field Value
 
Title ASKAP Science Data Processor software - ASKAPsoft Version 0.23.2
 
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.

-----
A patch release, fixing an issue with imager and a couple of minor pipeline issues:

* The imager in spectral-imaging mode was not respecting the clean
thresholds correctly. This could lead to over-cleaning, and the
insertion of spurious clean components at noise peaks (particularly
in continuum-subtracted spectral data).

* A change has been made to the module setup, avoiding "module swap"
in favour of "module unload / module load" - this addresses an
occasional issue seen where the module environment can get
corrupted by the swap command.

* A fix has been made to the flagging parsets, solving a problem
where the autocorrelation flagging and the time-range flagging were
assigned to the same rule. If both were used, the time range was
only flagged in the autocorrelations. They now appear as separate
rules and so will be independent.
 
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 2019-05-02
 
Type —
 
Format —
 
Identifier csiro:38660
 
Language —
 
Coverage —
 
Rights —