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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Collins, Daniel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.22.0
- 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.3
- 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.22.2
- 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.1
- 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.0
- 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.2
- 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.19.6
- 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.1
- 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.0
- 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.3
- 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.21.0
- 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.2
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.2
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.0
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.2
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.0
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.5
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.3
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.17.0
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.1
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.3
- 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.4
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document
ASKAP Science Data Processor software - ASKAPsoft Version 0.18.3
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:* Incorrect indexing of some self-calibration array parameters* Better handling of logic in determining the usage of thealternative imager.* Ensuring the image-based continuum-subtracted cubes are convertedto FITS and handled by the CASDA upload. Also that this task isable to see cubes directly written to FITS by the spectralimagers.* Fixing handling of directory names so that extracted artefacts arefound correctly for FITS conversion.* Removal of extraneous inverted commas in the continuum imagingjobscript.Additionally, there is a new parameter USE_CLI, which defaults to true but allows the user to turn off use of the online services, should they not be available.Finally, a number of the default parameters used by the bandpass calibration and the continuum imaging have been updated, following extensive commissioning work with the 12-antenna early science datasets. Here is a list of the changed parameters:* NCYCLES_BANDPASS_CAL=50* NUM_CPUS_CBPCAL=216* BANDPASS_MINUV=200* BANDPASS_SMOOTH_FIT=0* BANDPASS_SMOOTH_THRESHOLD=3.0* NUM_TAYLOR_TERMS=1* NUM_PIXELS_CONT=3200* CELLSIZE_CONT=4* RESTORING_BEAM_CUTOFF_CONT=0.5* GRIDDER_OVERSAMPLE=5* CLEAN_MINORCYCLE_NITER=4000* CLEAN_PSFWIDTH=1600* CLEAN_SCALES="[0]"* CLEAN_THRESHOLD_MINORCYCLE="[40%, 1.8mJy]"* CLEAN_NUM_MAJORCYCLES="[1,8,10]"* CLEAN_THRESHOLD_MAJORCYCLE="[10mJy,4mJy,2mJy]"* PRECONDITIONER_LIST="[Wiener]"* PRECONDITIONER_GAUSS_TAPER="[10arcsec, 10arcsec, 0deg]"* PRECONDITIONER_WIENER_ROBUSTNESS=-0.5* RESTORE_PRECONDITIONER_LIST="[Wiener]"* RESTORE_PRECONDITIONER_GAUSS_TAPER="[10arcsec, 10arcsec, 0deg]"* RESTORE_PRECONDITIONER_WIENER_ROBUSTNESS=-2* SELFCAL_NUM_LOOPS=2* SELFCAL_INTERVAL="[57600,57600,1]"* SELFCAL_SELAVY_THRESHOLD=8* RESTORING_BEAM_CUTOFF_CONTCUBE=0.5* RESTORING_BEAM_CUTOFF_SPECTRAL=0.5