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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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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University of Trieste

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2020Dust evolution in zoom-in cosmological simulations of galaxy formationcitations
  • 2018Dust evolution in galaxy cluster simulations48citations

Places of action

Chart of shared publication
Granato, Gian Luigi
2 / 3 shared
Murante, Giuseppe
2 / 2 shared
Tornatore, Luca
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Silva, Laura
1 / 2 shared
Taverna, Antonela
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Valentini, Milena
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Monaco, Pierluigi
1 / 1 shared
Ragone-Figueroa, Cinthia
2 / 2 shared
Gjergo, Eda
1 / 1 shared
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2020
2018

Co-Authors (by relevance)

  • Granato, Gian Luigi
  • Murante, Giuseppe
  • Tornatore, Luca
  • Silva, Laura
  • Taverna, Antonela
  • Valentini, Milena
  • Monaco, Pierluigi
  • Ragone-Figueroa, Cinthia
  • Gjergo, Eda
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article

Dust evolution in galaxy cluster simulations

  • Granato, Gian Luigi
  • Murante, Giuseppe
  • Tornatore, Luca
  • Gjergo, Eda
  • Borgani, Stefano
  • Ragone-Figueroa, Cinthia
Abstract

We implement a state-of-the-art treatment of the processes affecting the production and Interstellar Medium (ISM) evolution of carbonaceous and silicate dust grains within SPH simulations. We trace the dust grain size distribution by means of a two-size approximation. We test our method on zoom-in simulations of four massive (M_{200} ≥ 3 × 10^{14} M_{☉ }) galaxy clusters. We predict that during the early stages of assembly of the cluster at z ≳ 3, where the star formation activity is at its maximum in our simulations, the proto-cluster regions are rich in dusty gas. Compared to the case in which only dust production in stellar ejecta is active, if we include processes occurring in the cold ISM, the dust content is enhanced by a factor 2-3. However, the dust properties in this stage turn out to be significantly different from those observationally derived for the average Milky Way dust, and commonly adopted in calculations of dust reprocessing. We show that these differences may have a strong impact on the predicted spectral energy distributions. At low redshift in star-forming regions our model reproduces reasonably well the trend of dust abundances over metallicity as observed in local galaxies. However we underproduce by a factor of 2-3 the total dust content of clusters estimated observationally at low redshift, z ≲ 0.5 using IRAS, Planck, and Herschel satellites data. This discrepancy does not subsist by assuming a lower sputtering efficiency, which erodes dust grains in the hot intracluster medium. <P />...

Topics
  • impedance spectroscopy
  • cluster
  • grain
  • grain size
  • simulation
  • forming