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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977 Locations available

693.932 PEOPLE
693.932 People People

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Show results for 693.932 people that are selected by your search filters.

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Naji, M.
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Mitchell, Daniel

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MRC Cognition and Brain Sciences Unit

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (24/24 displayed)

  • 2021A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials82citations
  • 2020The Functional Convergence and Heterogeneity of Social, Episodic, and Self-Referential Thought in the Default Mode Network77citations
  • 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
Bucknall, David
1 / 4 shared
Blanche, Jamie
1 / 3 shared
Harper, Sam
1 / 1 shared
Baines, Lee
1 / 2 shared
Tang, Wenshuo
1 / 1 shared
Flynn, David
1 / 25 shared
Gupta, Ranjeetkumar
1 / 21 shared
Pancholi, Ketan
1 / 30 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
Lahur, Paulus
22 / 22 shared
Maher, Tony
22 / 22 shared
Voronkov, Max
22 / 22 shared
Guzman, Juan
22 / 22 shared
Chart of publication period
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Co-Authors (by relevance)

  • Bucknall, David
  • Blanche, Jamie
  • Harper, Sam
  • Baines, Lee
  • Tang, Wenshuo
  • Flynn, David
  • Gupta, Ranjeetkumar
  • Pancholi, Ketan
  • 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
OrganizationsLocationPeople

document

ASKAP Science Data Processor software - ASKAPsoft Version 0.19.5

  • 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.----- The Selavy code has been updated to add to the catalogue specifications for the continuum island & component catalogues:* The component catalogue now has error columns for the deconvolvedsizes, as well as for the alpha & beta values.* The 3rd flag column now indicates where the alpha &beta values are measured from - true indicates they come fromTaylor-term images.* The island catalogue now has:- An error column for the integrated flux density- Columns describing the background level, both the mean backgroundacross the island, and the average background noise level.- Statistics for the residual after subtracting the island's fittedGaussian components - columns for the max, mean, min, standarddeviation and rms.- Columns indicating the solid angle of the island, and of theimage restoring beam.* Occasional errors in converting the major/minor axis sizes to thecorrect units have also been fixed.The pipelines have been updated with new functionality and options:* The new ingest mode of recording one measurement set per beam isnow able to be processed. The MS metadata is recorded from one ofthe measurement sets, and the splitting is done from theappropriate beam.* Stokes-V flagging is available for all flagging steps. This isperformed in the same job as the dynamic amplitude flagging, and isparameterised by its own parameters - consult the documentation forthe full list (essentially the same as FLAG_DYNAMIC parameters withSTOKESV replacing DYNAMIC or DYNAMIC_AMPLITUDE).* Selection of specific spectral channels in the flagging tasks isnow possible with CHANNEL_FLAG_1934, CHANNEL_FLAG_SCIENCE, andCHANNEL_FLAG_SCIENCE_AV.* A bug that meant the continuum source-finding job would fail toconvert higher-order Taylor terms or continuum cubes to FITS formathas been fixed.* A fix has been made to the bandpass-smoothing casa script call,adding in a --agg command-line flag to the casa arguments. Thisallows the plotting to be run correctly on the compute nodes.* Scripting errors in the flagging scripts that showed up whensplitting was not being done have been rectified.

Topics
  • density
  • impedance spectroscopy
  • mass spectrometry
  • atom probe tomography