• 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.-----New features and updates:* Scheduling block state changes, in conjunction with a new TOS release, tointroduce a new OBSERVED state. Scheduling blocks will now transition fromEXECUTING to OBSERVED and then through to PROCESSING. * Python library updates:- numpy, scipy, matplotlib, pywcs, pytz, and APLpy. The current astropy packagehas been added, and pyfits removed.- New script Analysis/evaluation/makeThumbnailImage.py, that producesgrey-scale plots of continuum images, and has the capability to add weightscontours and/or continuum components.* Calibration & Imaging changes:- Residual image is now the residual at the end of the lastmajor cycle. (was the residual at the beginning ofthe last major cycle.)- The residual images now have units of Jy/beam notJy/pixel, and have the restoring beam written to the header.- When the "restore preconditioner" option is used in imaging, theresidual and psf.image are also written out for thispreconditioner. * Pipeline updates:- There is a new pipeline parameter, CCALIBRATOR_MINUV, that allowsthe bandpass calibration to exclude baseline below some value.- Minor errors and inconsistencies in some catalogue specificationshave been fixed, with the polarisation catalogue being updated tov0.7.- The spectral-line catalogue has been added to the CASDA upload partof the pipeline, and has been renamed to incorporate the image name(in the line of other data products).- There are new pipeline parameters SELFCAL_REF_ANTENNA &SELFCAL_REF_GAINS that allow the self-calibration to use areference antenna and/or gain solution.- A weights cutoff for Selavy can now be specified via the configfile using the new parameters SELAVY_WEIGHTS_CUTOFF &SELAVY_SPEC_WEIGHTS_CUTOFF (rather than using the linmos cutoffvalue).- The new imager is better integrated into the pipeline, withDO_ALT_IMAGER parameters for CONT, CONTCUBE & SPECTRAL.- It is possible to make use of the direct FITS output in thepipeline, by using IMAGETYPE_ parameters for CONT, CONTCUBE &SPECTRAL. Note that this is still somewhat of awork-in-progress.Various bug fixes - See the CHANGES file for details.

Topics

• impedance spectroscopy
• atom probe tomography