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Showing results for: [ Astronomical and Space Sciences not elsewhere classified ]
We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. T... morehe main science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to find glitches, characterise timing noise, investigate dispersion and rotation measure variability, and enhance our knowledge of single pulse phenomenology. To date, we are (co-)authors on 50 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Stanford, Swinburne and Oxford.less
Australia Telescope National Facility - P574 - Pulsar timing and the GLAST mission - Published 20 Sep 2017
Australia Telescope National Facility - P574 - Pulsar timing and the GLAST mission - Published 13 Sep 2017
Australia Telescope National Facility - P574 - Pulsar timing and the GLAST mission - Published 14 Sep 2017
Australia Telescope National Facility - P574 - Pulsar timing and the GLAST mission - Published 18 Sep 2017
Australia Telescope National Facility - P574 - Pulsar timing and the GLAST mission - Published 11 Sep 2017
SUPERBx is an extension to the SUPERB survey which looks at the highest Galactic latitudes in a search for fast radio bursts (FRBs). We will focus our efforts at high Galactic latitudes where our prev... moreious work has shown FRB detectability to be as much as 4 times higher than in the plane. SUPERBx uses optimised GPU codes to search for pulsars and fast radio bursts (FRBs), making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. The FRBs discovered (we have already discovered four FRBs in this project) will have much more associated information than all previous detections. Firstly our discovery lag is ~1 second, rather than months/years. The Parkes observations will be shadowed by other radio telescopes (in particular the refurbished Molonglo which has now reached a level of performance where it has independently discovered 3 FRBs in 2016) to allow localisation of the discovered FRBs, and a host of optical and high-energy telescopes will then be triggered as appropriate. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.less
Australia Telescope National Facility - P892 - SUPERBx - The SUrvey for Pulsars & Extragalactic Radio Bursts Extension - Published 23 Sep 2017
Australia Telescope National Facility - P892 - SUPERBx - The SUrvey for Pulsars & Extragalactic Radio Bursts Extension - Published 22 Sep 2017
Australia Telescope National Facility - P892 - SUPERBx - The SUrvey for Pulsars & Extragalactic Radio Bursts Extension - Published 21 Sep 2017
Australia Telescope National Facility - P892 - SUPERBx - The SUrvey for Pulsars & Extragalactic Radio Bursts Extension - Published 20 Sep 2017
ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: * Calibration * Spectral line imaging * Continuum imaging * Source detection and generation of source c... moreatalogs * 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 just covering the pipeline scripts. The following bugs are fixed: * The number of writers used in the spectral-line imaging when the askap_imager is used (DO_ALT_IMAGER=true) is now better described. The input parameter NUM_SPECTRAL_CUBES is now NUM_SPECTRAL_WRITERS, and the pipeline is better able to handle a single output (FITS) cube written by multiple writers. * The running of the validation script after continuum source-finding now has the $ACES environment variable set correctly. The validation script requires it to be set, and when it was not set within a user's environment the script could crash. * The image-based continuum subtraction script has had two fixes: - The cube name was being incorrectly set when the single-writer FITS option was used - The working directory was the same for all sub-bands for a given beam. This could cause issues with casa's ipython log file, resulting in jobs crashing with obscure errors.less
1067 ATNF Operations ASKAP Computing - ASKAPsoft Development - Published 12 Sep 2017
Fast Radio Bursts (FRBs) are bright, millisecond-duration radio pulses hypothesized to originate at cosmological distances. To date, one FRB has been seen to repeat but their origins remain a puzzling... more mystery. Some have proposed FRBs come from Crab-like pulsar giant pulses or periods of high activity of distant magnetars. Both mechanisms would generate observable subsequent FRB-like events. In this proposal we directly test this hypothesis by monitoring the fields of two known FRBs to search for repeating pulses that may explain their progenitors. We target two sources with existing multi-wavelength archival images of the field and small DM-derived distances.less
Australia Telescope National Facility - P871 - A follow-up campaign for fast radio bursts - Published 04 Sep 2017
ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: * Calibration * Spectral line imaging * Continuum imaging * Source detection and generation of source c... moreatalogs * 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 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 was caused by incorrect handling of the ".fits" suffix (it was being added for CASA images, not FITS image). * It was possible for the pipeline to attempt to flag an averaged MS even if the averaged MS was not being created. The pipeline is now more 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 and timestamp of pipeline. This can be turned off by setting VALIDATION_ARCHIVE_DIR to "". * The spectral imaging jobs were capable of asking for more writers than there were cores in the job. The pipeline scripts are now careful to check the number of writers, and ensure it is no more than the number of workers. The default number of writers has been changed to one. * The handling of FITS files by the inter-field mosaicking tasks was error-prone - files would either not be copied (in the case of a single field) or would not be identified correctly (for the spectral-line case). Pipeline improvements: * The image size (number of pixels) and cellsize (in arcsec) for the continuum cubes can now be given explicitly, and so be allowed to differ from the continuum images. * Some default cleaning parameters for continuum cube imaging have been 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 (in particular 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, and producing the same catalogue for all fit types. Additionally, there was the possibility of errors if different fit types yielded different numbers of components for a given island. less
1067 ATNF Operations ASKAP Computing - ASKAPsoft Development - Published 01 Sep 2017
This proposal aims to extend our survey observations of the Magellanic Clouds already reported by (Ridley et al.~2013) which are primarily motivated by the promise of probing their millisecond pulsar ... morepopulation. From observations of the Large Magellanic Cloud so far, which cover about 20\% of its spatial extent, we have discovered and obtained preliminary timing solutions for 8 normal pulsars. In this coming semester, we wish to complete the timing of these pulsars, and bring the survey coverage to 50\%. Based on our results so far, we anticipate the discovery of around 10 new normal pulsars and possibly a few millisecond pulsars. For the first time, we would be able to definitively probe the relative populations of normal and millisecond pulsars in an external galaxy which has a significantly different star formation history to the Milky Way. These observations pave the way for future surveys of the Magellanic Clouds with MeerKAT.less
Australia Telescope National Facility - P743 - A high time resolution survey of the Large Magellanic Cloud - Published 02 Sep 2017
Australia Telescope National Facility - P743 - A high time resolution survey of the Large Magellanic Cloud - Published 01 Sep 2017
Australia Telescope National Facility - P743 - A high time resolution survey of the Large Magellanic Cloud - Published 05 Sep 2017
Australia Telescope National Facility - P892 - SUPERBx - The SUrvey for Pulsars & Extragalactic Radio Bursts Extension - Published 12 Sep 2017
Australia Telescope National Facility - P892 - SUPERBx - The SUrvey for Pulsars & Extragalactic Radio Bursts Extension - Published 08 Sep 2017
Full polarimetry data for 600 pulsars taken with the Parkes telescope at 1.4 GHz over the period 2003-2016.
CASS Astrophysics Program Operations - Pulsar Polarimetry - Published 17 Aug 2017
ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: * Calibration * Spectral line imaging * Continuum imaging * Source detection and generation of source c... moreatalogs * 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. ----- User documentation changes only. No code changes.less
1067 ATNF Operations ASKAP Computing - ASKAPsoft Development - Published 13 Aug 2017
ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: * Calibration * Spectral line imaging * Continuum imaging * Source detection and generation of source c... moreatalogs * 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. ----- New Features: * linmos now produces mosaicks with correct masking of pixels in in both CASA and FITS formats. * linmos can also remove the contribution of the primary beam frequency dependence to the Taylor term images. This only applies to Gaussian primary beam models. * Added Selavy support for FITS outputs * Addition of ACES-OPS module to facilitate controlled dependency between ASKAPsoft and ACES Tools. * Parallelised the RM Synthesis module in Selavy. * New Selavy output - a map of the residual emission not covered by the fitted Gaussians in a continuum image. * Developed patch for casacore's poor handling of the lanczos interpolation method. * Added support for casdaupload to handle spectral-line catalogues. * CASDA related Support for new image types. * Ensure calibration tables are uploaded to CASDA. * Added support for continuum validation script and results including CASDA upload. * Improvements to Selavy spectral-line parameterisation. * Selavy sets spectral index & curvature to a flag-value if not calculated rather than leaving as zero. Bug Fixes * linmos, reduced memory footprint. A bug was found that was causing a complete image cube to accessed, when only the image shape was required. This has been fixed. * Selavy catalogues occasionally fail CASDA validation due to wide columns - fixed. * Fixed bug where restore.beam.cutoff value not read from parset when present. * Added missing beam log output to new imager. * Improved handling of failed processing and the effect of that on executing final diagnostics/FITSconversion/thumbnails jobs at end of pipeline. * Use number of beams in footprint rather than assume 36. * Minor bug fixesless
ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: * Calibration * Spectral line imaging * Continuum imaging * Source detection and generation of source c... moreatalogs * 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. ----- 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 the alternative imager. * Ensuring the image-based continuum-subtracted cubes are converted to FITS and handled by the CASDA upload. Also that this task is able to see cubes directly written to FITS by the spectral imagers. * Fixing handling of directory names so that extracted artefacts are found correctly for FITS conversion. * Removal of extraneous inverted commas in the continuum imaging jobscript. 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=0.5less
ASKAPsoft, the ASKAP Science Data Processor, provides data processing functionality, including: * Calibration * Spectral line imaging * Continuum imaging * Source detection and generation of source c... moreatalogs * 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. ----- This patch release sees a few bug-fixes to the pipeline scripts: * The ntasks-per-node parameter for the continuum subtraction could still be more than ntasks for certain parameter settings. * When using a subset of the spectral channels, the new imager jobs were not configured properly, with some elements trying to use the full number of channels. * Mosaicking of the image-based-continuum-subtracted cubes was not waiting for the completion of the continuum subtraction jobs, so would invariably fail to run correctly. * The image-based continuum-subtraction jobs are now run from separate directories, so that ipython logs can not conflict. * The spectral source-finding job had an error in the image name in the parset. * Mosaicking of the continuum-cubes now creates separate weights cubes for each type of image product. * Continuum imaging with the new imager has been improved, fixing inconsistencies in the names of images. * The PNG thumbnails were not being propagated to the CASDA directory. 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.less
Parkes multibeam high-latitude pulsar survey
Australia Telescope National Facility - P366 - Parkes multibeam high-latitude pulsar survey - Published 11 Aug 2017
Parkes multibeam high-latitude survey
Australia Telescope National Facility - P366 - Parkes multibeam high-latitude pulsar survey - Published 12 Aug 2017
