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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024Unveiling lens light complexity with a novel multi-Gaussian expansion approach for strong gravitational lensing7citations

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Chart of shared publication
Lange, Samuel C.
1 / 1 shared
Li, Ran
1 / 3 shared
Massey, Richard
1 / 1 shared
Nightingale, James
1 / 1 shared
Amvrosiadis, Aris
1 / 1 shared
Cole, Shaun
1 / 1 shared
Frenk, Carlos S.
1 / 1 shared
He, Qiuhan
1 / 1 shared
França, João Paulo
1 / 1 shared
Chart of publication period
2024

Co-Authors (by relevance)

  • Lange, Samuel C.
  • Li, Ran
  • Massey, Richard
  • Nightingale, James
  • Amvrosiadis, Aris
  • Cole, Shaun
  • Frenk, Carlos S.
  • He, Qiuhan
  • França, João Paulo
OrganizationsLocationPeople

article

Unveiling lens light complexity with a novel multi-Gaussian expansion approach for strong gravitational lensing

  • Lange, Samuel C.
  • Li, Ran
  • Massey, Richard
  • Nightingale, James
  • Amvrosiadis, Aris
  • Cole, Shaun
  • Frenk, Carlos S.
  • He, Qiuhan
  • França, João Paulo
  • Cao, Xiaoyue
Abstract

<jats:title>ABSTRACT</jats:title><jats:p>In a strong gravitational lensing system, the distorted light from a source is analysed to infer the properties of the lens. However, light emitted by the lens itself can contaminate the image of the source, introducing systematic errors in the analysis. We present a simple and efficient lens light model based on the well-tested multi-Gaussian expansion (MGE) method for representing galaxy surface brightness profiles, which we combine with a semi-linear inversion scheme for pixelized source modelling. Testing it against realistic mock lensing images, we show that our scheme can fit the lensed images to the noise level, with relative differences between the true input and best-fitting lens light model remaining below 5 per cent. We apply the MGE lens light model to 38 lenses from the HST SLACS sample. We find that the new scheme provides a good fit for the majority of the sample with only 3 exceptions – these show clear asymmetric residuals in the lens light. We examine the radial dependence of the ellipticity and position angles and confirm that it is common for a typical lens galaxy to exhibit twisting non-elliptical isophotes and boxy / disky isophotes. Our MGE lens light model will be a valuable tool for understanding the hidden complexity of the lens mass distribution.</jats:p>

Topics
  • impedance spectroscopy
  • surface