Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (22/22 displayed)

  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.22.0citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.3citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.22.2citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.1citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.0citations
  • 2019ASKAP Science Data Processor software - ASKAPsoft Version 0.23.2citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.19.6citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.1citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.0citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.3citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.21.0citations
  • 2018ASKAP Science Data Processor software - ASKAPsoft Version 0.20.2citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.2citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.0citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.2citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.0citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.5citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.3citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.17.0citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.1citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.18.3citations
  • 2017ASKAP Science Data Processor software - ASKAPsoft Version 0.19.4citations

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Chart of shared publication
Mitchell, Daniel
22 / 24 shared
Bastholm, Eric
22 / 22 shared
Ord, Stephen
22 / 24 shared
Lenc, Emil
22 / 23 shared
Van Diepen, Ger
22 / 22 shared
Whiting, Matthew
22 / 23 shared
Khoo, Jonathan
22 / 22 shared
Collins, Daniel
22 / 22 shared
Wu, Xinyu
22 / 22 shared
Marquarding, Malte
22 / 22 shared
Bannister, Keith
22 / 22 shared
Maher, Tony
22 / 22 shared
Voronkov, Max
22 / 22 shared
Guzman, Juan
22 / 22 shared
Chart of publication period
2019
2018
2017

Co-Authors (by relevance)

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

document

ASKAP Science Data Processor software - ASKAPsoft Version 0.19.6

  • 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.----- Pipelines:* The default imager has been changed *for all imaging jobs* to be thenew imager task.* Image-based continuum subtraction script made compatible with ACESscript changes. Needs to be used with ACES revision number 47195 or later.* The bandpass solutions can now be applied to calibrator themselves, producingcalibrated MSs.* Reference antenna for bandpass calibration specified via the new parameterBANDPASS_REFANTENNA.* Self-calibration with cmodel can now avoid using components belowsome nominated signal-to-noise level. It can also be forced to usePSF-shaped components for the calibration.* The first stage of mosaicking now uses the weighttype=Combinedoption (see below), which should give a better reflection of thedata in the event different beams have different weights.* Some bug fixes (see CHANGES file)Processing software:* Cflag:- Fixed bug where the StokesV flagger would crash with asegmentation fault on occasions where it was presented with aspectrum or time-series that was entirely flagged.* Imager:- The imager is now more robust against small changes in thefrequency labels of channels, with an optional toleranceparameter available.* Selavy:- A few bugs were fixed that were preventing Selavy working forspectral-line cubes, where it was trying to read in the entirecube on all processing cores (leading to an out-of-memoryerror).- Moment-0 maps now have a valid mask applied to them.- Selavy can now measure the spectral index & curvature from acontinuum cube, instead of fitting to Taylor-term images.- Duchamp version 1.6.2 has been included in the askapsoftcodebase.- The deconvolved position angle of components is now forced to liebetween 0 & 2pi, and its error is limited to be no more than 2pi.* Linmos:- Fixed a bug that meant (in some cases) only a single input imagewas included in the mosaic. Happened when the input images hadmasks attached to them (for instance, combination of mosaics).- New option of "weighttype=Combined" for linmos-mpi, that usesboth the weight images and the primary beam model to create theoutput weights.

Topics
  • impedance spectroscopy
  • mass spectrometry
  • atom probe tomography