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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023The CAMELS Project: Expanding the Galaxy Formation Model Space with New ASTRID and 28-parameter TNG and SIMBA Suites28citations
  • 2003An analytical model for the history of cosmic star formation201citations

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Chart of shared publication
Villaescusa-Navarro, Francisco Antonio
1 / 2 shared
Gebhardt, Matthew
1 / 1 shared
Pandey, Shivam
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Bird, Simeon
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Shao, Helen
1 / 1 shared
Croft, Rupert
1 / 1 shared
Chen, Nianyi
1 / 1 shared
Dave, Romeel
1 / 1 shared
Springel, Volker
1 / 2 shared
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2023
2003

Co-Authors (by relevance)

  • Villaescusa-Navarro, Francisco Antonio
  • Gebhardt, Matthew
  • Pandey, Shivam
  • Bird, Simeon
  • Shao, Helen
  • Croft, Rupert
  • Chen, Nianyi
  • Dave, Romeel
  • Springel, Volker
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article

An analytical model for the history of cosmic star formation

  • Hernquist, Lars
  • Springel, Volker
Abstract

We use simple analytic reasoning to identify physical processes that drive the evolution of the cosmic star formation rate, , in cold dark matter universes. Based on our analysis, we formulate a model to characterize the redshift dependence of and compare it with results obtained from a set of hydrodynamic simulations that include star formation and feedback. We find that the cosmic star formation rate is described by two regimes. At early times, densities are sufficiently high and cooling times sufficiently short that abundant quantities of star-forming gas are present in all dark matter haloes that can cool by atomic processes. Consequently, generically rises exponentially as z decreases, independent of the details of the physical model for star formation, but dependent on the normalization and shape of the cosmological power spectrum. This part of the evolution is dominated by gravitationally driven growth of the halo mass function. At low redshifts, densities decline as the universe expands to the point that cooling is inhibited, limiting the amount of star-forming gas available. We find that in this regime the star formation rate scales approximately as , in proportion to the cooling rate within haloes. We demonstrate that the existence of these two regimes leads to a peak in the star formation rate at an intermediate redshift z=z<SUB>peak</SUB>. We discuss how the location of this peak depends on our model parameters, and show that the peak cannot occur above a limiting redshift of z~ 8.7. For the star formation efficiency adopted in our numerical simulations, z<SUB>peak</SUB>~ 5-6, with half of all stars forming at redshifts larger than z~= 2.2. We derive analytic expressions for the full star formation history and show that they match our simulation results to better than ~=10 per cent. Using various approximations, we reduce the expressions to a simple analytic fitting function for that can be used to compute global cosmological quantities that are directly related to the star formation history. As examples, we consider the integrated stellar density, the supernova and gamma-ray burst rates observable on Earth, the metal enrichment history of the Universe, and the density of compact objects. We also briefly discuss the expected dependence of the star formation history on cosmological parameters and the physics of the gas....

Topics
  • density
  • impedance spectroscopy
  • simulation
  • forming