• Mitchell, Daniel
• Bastholm, Eric
• Ord, Stephen
• Lenc, Emil
• Van Diepen, Ger
• Whiting, Matthew
• Khoo, Jonathan
• Collins, Daniel
• Wu, Xinyu
• Marquarding, Malte
• Bannister, Keith
• Lahur, Paulus
• Maher, Tony
• Voronkov, Max
• Guzman, Juan

Abstract

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 detectionASKAPsoft 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-devMore 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.-----This patch release sees a few bug-fixes to the pipeline scripts:* The ntasks-per-node parameter for the continuum subtraction couldstill be more than ntasks for certain parameter settings.* When using a subset of the spectral channels, the new imager jobswere not configured properly, with some elements trying to use thefull number of channels.* Mosaicking of the image-based-continuum-subtracted cubes was notwaiting for the completion of the continuum subtraction jobs, sowould invariably fail to run correctly.* The image-based continuum-subtraction jobs are now run fromseparate directories, so that ipython logs can not conflict.* The spectral source-finding job had an error in the image name inthe parset.* Mosaicking of the continuum-cubes now creates separate weightscubes for each type of image product.* Continuum imaging with the new imager has been improved, fixinginconsistencies in the names of images.* The PNG thumbnails were not being propagated to the CASDAdirectory.The noise map produced by Selavy is now included in the set of artefacts converted to FITS and sent to CASDA.Additionally, the ability to impose a position shift to the model used in self-calibration has been added, with the aim of supporting on-going commissioning work.

Topics

• impedance spectroscopy
• atom probe tomography