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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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

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

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Pooley, D. E.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Tomographic reconstruction with Mantid Imaging3citations
  • 2023Development of a Digitising Data Acquisition Pipeline for Next Generation Pulsed Muon Spectrometers1citations

Places of action

Chart of shared publication
Bradley, J.
1 / 4 shared
Allen, J.
1 / 3 shared
Kockelmann, W.
1 / 14 shared
Gigg, M.
1 / 1 shared
Burca, G.
1 / 3 shared
Jones, S.
1 / 12 shared
Nixon, D.
2 / 3 shared
Fedrigo, A.
1 / 2 shared
Tygier, S.
1 / 1 shared
Akello-Egwel, D.
1 / 1 shared
Tasev, D.
1 / 1 shared
Baust, R.
1 / 1 shared
Richards, S.
1 / 4 shared
Evans, C.
1 / 5 shared
Templeman, D.
1 / 1 shared
Schooneveld, E. M.
1 / 2 shared
Rhodes, N. J.
1 / 2 shared
Abba, A.
1 / 3 shared
Boston, A.
1 / 1 shared
Caponio, F.
1 / 1 shared
Brooks, Annabelle
1 / 1 shared
Baker, P. J.
1 / 4 shared
Pastori, L.
1 / 1 shared
Macwaters, C.
1 / 1 shared
Franklin, S.
1 / 1 shared
Akeroyd, F. A.
1 / 3 shared
Cottrell, S. P.
1 / 2 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Bradley, J.
  • Allen, J.
  • Kockelmann, W.
  • Gigg, M.
  • Burca, G.
  • Jones, S.
  • Nixon, D.
  • Fedrigo, A.
  • Tygier, S.
  • Akello-Egwel, D.
  • Tasev, D.
  • Baust, R.
  • Richards, S.
  • Evans, C.
  • Templeman, D.
  • Schooneveld, E. M.
  • Rhodes, N. J.
  • Abba, A.
  • Boston, A.
  • Caponio, F.
  • Brooks, Annabelle
  • Baker, P. J.
  • Pastori, L.
  • Macwaters, C.
  • Franklin, S.
  • Akeroyd, F. A.
  • Cottrell, S. P.
OrganizationsLocationPeople

article

Development of a Digitising Data Acquisition Pipeline for Next Generation Pulsed Muon Spectrometers

  • Richards, S.
  • Evans, C.
  • Templeman, D.
  • Schooneveld, E. M.
  • Rhodes, N. J.
  • Nixon, D.
  • Abba, A.
  • Boston, A.
  • Caponio, F.
  • Brooks, Annabelle
  • Baker, P. J.
  • Pastori, L.
  • Pooley, D. E.
  • Macwaters, C.
  • Franklin, S.
  • Akeroyd, F. A.
  • Cottrell, S. P.
Abstract

<jats:title>Abstract</jats:title><jats:p>The next generation of muon spin spectrometers at the ISIS pulsed source are being developed to make efficient use of the increased source intensity. They will provide a transformational improvement in counting rates: ‘Super-MuSR’ will be the first of these instruments, capable of counting at ≈1 G·event·hr<jats:sup>−1</jats:sup>. Key to delivering this capability is the development of highly pixelated, high density detector arrays that cover an appreciable solid angle, with each detector element optimised for counting at very high data rates. A series of ‘firsts’ are planned to optimise individual element count rate capability, where analogue waveforms recorded from SiPMs are fully digitised and processed using digital signal processing (DSP) methods at either software or firmware level. Full raw-signal digitisation will be achieved using the Xilinx Zynq<jats:sup>®</jats:sup> UltraScale+<jats:sup>TM</jats:sup> series of ‘system on a chip’ operating with ADCs capable of 1 GHz sampling, data handling using event streaming technology, and DSP to provide novel data correction techniques. We will discuss our concept and present preliminary results. Our prototype digitising data acquisition system, which is key to implementing a ‘digital data pipeline’ (DDP) is presented.</jats:p>

Topics
  • density
  • impedance spectroscopy