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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Naji, M.
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Piro, L.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2015Accessing the population of high-redshift Gamma Ray Bursts43citations
  • 2004Absorption in Gamma-Ray Burst Afterglows118citations

Places of action

Chart of shared publication
Osborne, J. P.
1 / 5 shared
Mereghetti, S.
1 / 4 shared
Burlon, D.
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Campana, S.
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Covino, S.
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Frontera, F.
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Davanzo, P.
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Amati, L.
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Bernardini, M. G.
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Tanvir, N.
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Vergani, S. D.
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Willingale, D.
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Tagliaferri, G.
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Melandri, Andrea
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Nava, L.
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Obrien, P.
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Salvaterra, R.
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Ghirlanda, G.
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Basa, S.
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Fiore, F.
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De Pasquale, M.
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Stratta, G.
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Antonelli, Lucio Angelo
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Chart of publication period
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Co-Authors (by relevance)

  • Osborne, J. P.
  • Mereghetti, S.
  • Burlon, D.
  • Campana, S.
  • Covino, S.
  • Frontera, F.
  • Davanzo, P.
  • Amati, L.
  • Bernardini, M. G.
  • Tanvir, N.
  • Vergani, S. D.
  • Willingale, D.
  • Tagliaferri, G.
  • Melandri, Andrea
  • Götz, D.
  • Nava, L.
  • Ghisellini, G.
  • Obrien, P.
  • Salvaterra, R.
  • Ghirlanda, G.
  • Basa, S.
  • Fiore, F.
  • De Pasquale, M.
  • Stratta, G.
  • Antonelli, Lucio Angelo
OrganizationsLocationPeople

article

Absorption in Gamma-Ray Burst Afterglows

  • Fiore, F.
  • De Pasquale, M.
  • Piro, L.
  • Stratta, G.
  • Antonelli, Lucio Angelo
Abstract

We studied the X-ray and optical absorption properties of 13 gamma-ray burst (GRB) afterglows observed by BeppoSAX. We found that X-ray absorption in addition to the Galactic one along the line of sight is highly statistically significant in the two cases with the best statistics (probability &gt;99.9%). In three other cases the presence of X-ray absorption is marginally significant (probability ~97%). Measured rest-frame equivalent column densities of hydrogen, N<SUB>H</SUB>, range from 0.1×10<SUP>22</SUP> to 10.0×10<SUP>22</SUP> cm<SUP>-2</SUP> (at 90% confidence level) assuming a solar metal abundance. X-ray absorption may be common, although the quality of present data does not allow us to reach a firm conclusion. We found that the rest-frame column densities derived from XMM and Chandra data as quoted in the literature are in good agreement with the BeppoSAX estimated rest-frame N<SUB>H</SUB> range, supporting our result. For the same GRB afterglow sample we evaluated the rest-frame visual extinction A<SUB>Vr</SUB>. We fitted the optical-NIR afterglow photometry with a power-law model corrected at short wavelengths by four different extinction curves. By comparing X-ray absorptions and optical extinction, we found that if a Galactic-like dust grain size distribution is assumed, a dust-to-gas ratio lower than the one observed in the Galaxy is required by the data. A dust-to-gas ratio ~1/10 that of the Galactic one, as in the Small Magellanic Cloud (SMC) environment, has been tested using the SMC extinction curve, which produces good agreement between the best-fit N<SUB>H</SUB> and A<SUB>Vr</SUB>. We note, however, that the best-fit N<SUB>H</SUB> values have been obtained by assuming solar metal abundances, while the metallicity of the SMC ISM is ~1/8 the solar one (Pei 1992). If such low metallicity were assumed, the best-fit N<SUB>H</SUB> values would be higher by a factor of ~7, providing a significant increase of the χ<SUP>2</SUP>. Alternative scenarios to explain simultaneously the optical and X-ray data involve dust with grain size distributions biased toward large grains. Possible mechanisms that can bring about such a grain size distribution are discussed....

Topics
  • impedance spectroscopy
  • grain
  • grain size
  • Hydrogen