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
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2014The Whipple Mission: Exploring the Kuiper Belt and the Oort Cloudcitations
  • 2005Fast identification of transits from light-curves33citations

Places of action

Chart of shared publication
Payne, Matthew
1 / 1 shared
Trangsrud, Amy
1 / 1 shared
Schlichting, Hilke
1 / 1 shared
Werner, Michael
1 / 6 shared
Nulsen, Paul
1 / 3 shared
Brown, Michael
1 / 2 shared
Gauron, Tom
1 / 1 shared
Kraft, Ralph
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Kenter, Almus
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Holman, Matthew
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Heneghan, Cate
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Murray-Clay, Ruth
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Murray, Stephen
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Livingston, John
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Vrtilek, Jan
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Protopapas, Pavlos
1 / 1 shared
Chart of publication period
2014
2005

Co-Authors (by relevance)

  • Payne, Matthew
  • Trangsrud, Amy
  • Schlichting, Hilke
  • Werner, Michael
  • Nulsen, Paul
  • Brown, Michael
  • Gauron, Tom
  • Kraft, Ralph
  • Kenter, Almus
  • Holman, Matthew
  • Heneghan, Cate
  • Murray-Clay, Ruth
  • Murray, Stephen
  • Livingston, John
  • Vrtilek, Jan
  • Protopapas, Pavlos
OrganizationsLocationPeople

article

Fast identification of transits from light-curves

  • Alcock, Charles
  • Protopapas, Pavlos
Abstract

We present an algorithm that allows fast and efficient detection of transits, including planetary transits, from light-curves. The method is based on building an ensemble of fiducial models and compressing the data using the MOPED algorithm. We describe the method and demonstrate its efficiency by finding planet-like transits in simulated Pan-STARRS light-curves. We show that that our method is independent of the size of the search space of transit parameters. In large sets of light-curves, we achieve speed up factors of order of $10^{8}$ times over the fullsearch. We discuss how the algorithm can be used in forthcoming large surveys like Pan-STARRS and LSST and how it may be optimized for future space missions like Kepler and COROT where most of the processing must be done on

Topics
  • impedance spectroscopy