• 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.-----A patch release that fixes bugs in both the pipeline scripts and Selavy, as well as a minor one in casdaupload.Pipeline fixes:* The 'contsub' spectral cubes were not being mosaicked. This wascaused by incorrect handling of the ".fits" suffix (it was beingadded for CASA images, not FITS image).* It was possible for the pipeline to attempt to flag an averaged MSeven if the averaged MS was not being created. The pipeline is nowmore careful about setting its switches to cover this scenario.* The continuum validation reports are now automatically (by default)copied to a standard location, tagged with the user's ID andtimestamp of pipeline. This can be turned off by settingVALIDATION_ARCHIVE_DIR to "".* The spectral imaging jobs were capable of asking for more writersthan there were cores in the job. The pipeline scripts are nowcareful to check the number of writers, and ensure it is no morethan the number of workers. The default number of writers has beenchanged to one.* The handling of FITS files by the inter-field mosaicking tasks waserror-prone - files would either not be copied (in the case of asingle field) or would not be identified correctly (for thespectral-line case).Pipeline improvements:* The image size (number of pixels) and cellsize (in arcsec) for thecontinuum cubes can now be given explicitly, and so be allowed todiffer from the continuum images.* Some default cleaning parameters for continuum cube imaging havebeen changed as well.The following bugs in Selavy have been fixed:* There was an issue with the weight-normalisation option in Selavy,where the incorrect normalisation was applied if a subsection (inparticular the first subsection) had no valid pixels present(ie. all were masked). The masking is now correctly accounted for.* There were bugs that caused memory errors in the spectral-line (HI)parameterisation of sources. This code has been improved.* The 'fitResults' files were reporting the catalogue twice, andproducing the same catalogue for all fit types. Additionally, therewas the possibility of errors if different fit types yieldeddifferent numbers of components for a given island.

Topics

• impedance spectroscopy
• mass spectrometry
• atom probe tomography