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    • Jürg Diemand
    • Jürg Diemand

      Jürg Diemand

      Institute for Computational Science, University of Zürich, CH-8057 Zürich, Switzerland | Institute for Computational Science, University of Zürich, 8057 Zürich, Switzerland. | ...

       

       

      KOL Resume for Jürg Diemand

      Year
      2017

      Institute for Computational Science, University of Zürich, CH-8057 Zürich, Switzerland

      2016

      Institute for Computational Science, University of Zurich, 8057 Zurich, Switzerland.

      2014

      Institute for Computational Sciences, University of Zurich, 8057 Zürich, Switzerland.

      2013

      Institute for Theoretical Physics, University of Zurich, 8057, Zurich, Switzerland

      2012

      Institute for Theoretical Physics, University of Zürich, CH‐8057 Zürich, Switzerland

      2011

      Institute for Theoretical Physics, University of Zurich, 8057 Zurich, Switzerland

      2010

      Institute for Theoretical Physics, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland

      University of California, Department of Astronomy and Astrophysics, 1156 High Street, Santa Cruz CA 95064, USA

      2009

      Hubble Fellow.

      Department of Astronomy & Astrophysics, University of California, Santa Cruz, CA 95064, USA

      2008

      Department of Astronomy & Astrophysics, University of California Santa Cruz, Santa Cruz, CA, 95064, USA

      2007

      Department of Astronomy and Astrophysics, UC Santa Cruz, 1156 High Street, Santa Cruz, CA

      2006

      Institute for Theoretical Physics, University of Zürich, Winterthurerstrasse 190, CH‐8057 Zürich, Switzerland

      Department of Astronomy & Astrophysics, University of California, 1150 High Street, Santa Cruz, CA 95064, USA

      2005

      Department of Astronomy and Astrophysics, University of California, 1156 High Street, 95064, Santa Cruz, California, USA

      Institute for Theoretical Physics, University of Zurich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland

      2004

      Institute for Theoretical Physics, University of Zürich, CH-8057 Zurich, Switzerland, e-mail:,

       

       

      Jürg Diemand: Influence Statistics

      Sample of concepts for which Jürg Diemand is among the top experts in the world.
      Concept World rank
      cnt predictions #1
      current virial radius #1
      early supersymmetric #1
      180 temperature range #1
      equilibrium vapor densities #1
      threshold method comparison #1
      planar coexistence simulations #1
      conventional finders #1
      tidal stream disruption #1
      diemand angélil #1
      diemand #1
      lennardjones hale #1
      gas equilibrium density #1
      critical bubbles sizes #1
      disrupted streams #1
      sky streams #1
      halo mass definitions #1
      1280 streams #1
      1 8 × #1
      median mass increase #1
      bubble gas densities #1
      rayleighplesset description #1
      large sizes gap #1
      ∼10005000 molecules #1
      halos substructure #1
      vaportosolid transitions #1
      magnitude underpredicting rates #1
      path streams #1
      1958pfldas0031 #1
      t≃05ɛ #1
      multistep homogeneous #1
      postcritical clusters #1
      cluster central densities #1
      properties liquid clusters #1
      bubblegrowth agreement #1
      thanexpected surface areas #1
      liquidvapor bubble interface #1
      underpredicting rates factor #1
      cluster growth rates #1
      1915×106 molecules #1
      apocentre passages #1
      efficiencies cluster temperatures #1
      underpredicting rates #1
      argon bubble nucleation #1
      nve t≃05ɛ #1
      prefactor nucleation #1

       

      Prominent publications by Jürg Diemand

      KOL-Index: 7785

      We present results from large-scale molecular dynamics (MD) simulations of homogeneous vapor-to-liquid nucleation. The simulations contain between 1 × 10(9) and 8 × 10(9) Lennard-Jones (LJ) atoms, covering up to 1.2 μs (56 × 10(6) time-steps). They cover a wide range of supersaturation ratios, S ≃ 1.55-10(4), and temperatures from kT = 0.3 to 1.0ε (where ε is the depth of the LJ potential, and k is the Boltzmann constant). We have resolved nucleation rates as low as 10(17) cm(-3) s(-1) ...

      Known for Homogeneous Nucleation | Molecular Dynamics | Low Temperatures | Md Simulations | Classical Theory
      KOL-Index: 7483

      We analyse the number density and radial distribution of substructures and satellite galaxies using cosmological simulations that follow the gas dynamics of a baryonic component, including shock heating, radiative cooling and star formation within the hierarchical concordance Lambda cold dark matter model. We find that the dissipation of the baryons greatly enhances the survival of subhaloes, especially in the galaxy core, resulting in a radial distribution of satellite galaxies that ...

      Known for Satellite Galaxies | Radial Distribution | Hydrodynamical Simulations | Star Formation | Dark Matter
      KOL-Index: 6229

      We use cosmological smoothed particle hydrodynamic simulations to study the kinematic signatures of cool gas accretion onto a pair of well-resolved galaxy halos. We find that cold-flow streams and gas-rich mergers produce a circumgalactic component of cool gas that generally orbits with high angular momentum about the galaxy halo before falling in to build the disk. This signature of cosmological accretion should be observable using background-object absorption-line studies as features ...

      Known for Circumgalactic Gas | Cold Accretion | Angular Momentum | Galactic Halos | Galaxy Halo
      KOL-Index: 6099

      Make the rough with the smoothThe early Universe was almost completely smooth and homogeneous. But tiny fluctuations were hidden in the matter distribution, and 20 million years after the Big Bang these began to undergo gravitational collapse. Key to what happened next is the nature of the dark matter that makes up the bulk of the Universe. New supercomputer calculations, based on the assumption that a hypothetical particle known as the neutralino is the main component of the dark ...

      Known for Early Universe | Dark Matter | Big Bang | Gravitational Collapse | Size Solar
      KOL-Index: 5776

      The PAMELA, ATIC, and Fermi collaborations have recently reported an excess in the cosmic ray positron and electron fluxes. These lepton anomalies might be related to cold dark matter particles annihilating within a nearby dark matter clump. We outline regions of the parameter space for both the dark matter subhalo and particle model, where data from the different experiments are reproduced. We then confront this interpretation of the data with the results of the cosmological N-body ...

      Known for Cosmic Ray | Lepton Anomalies | Pamela Excess | Dark Matter | Atic Bump
      KOL-Index: 5482

      We present a statistical study of substructure within a sample of Λ cold dark matter (ΛCDM) clusters and galaxies simulated with up to 25 × 106 particles. With thousands of subhaloes per object we can accurately measure their spatial clustering and velocity distribution functions and compare these with observational data. The substructure properties of galactic haloes closely resemble those of galaxy clusters with a small scatter in the mass and circular velocity functions. The velocity ...

      Known for Cluster Galaxies | Dark Matter | Subhalo Distribution | Virial Radius | Galactic Haloes
      KOL-Index: 5404

      We use a particle tagging technique to dynamically populate the N-body Via Lactea II high-resolution simulation with stars. The method is calibrated using the observed luminosity function of Milky Way (MW) satellites and the concentration of their stellar populations, and self-consistently follows the accretion and disruption of progenitor dwarfs and the buildup of the stellar halo in a cosmological "live host." Simple prescriptions for assigning stellar populations to collisionless ...

      Known for Stellar Mass | Milky Dwarf | Spatial Distribution | 106 ☉ | Satellites Velocity
      KOL-Index: 5198

      The coalescence of a massive black hole (MBH) binary leads to the gravitational-wave recoil of the system and its ejection from the galaxy core. We have carried out N-body simulations of the motion of a M BH = 3.7 × 106 M ☉ MBH remnant in the "Via Lactea I" simulation, a Milky Way-sized dark matter halo. The black hole receives a recoil velocity of V kick = 80, 120, 200, 300, and 400 km s–1 at redshift 1.5, and its orbit is followed for over 1 Gyr within a "live" host halo, subject only ...

      Known for Black Hole | Recoiling Massive | Dynamical Friction | Gas Drag | Dark Matter
      KOL-Index: 5146

      If the dark matter particle is a neutralino, then the first structures to form are cuspy cold dark matter (CDM) haloes collapsing after redshifts z≈ 100 in the mass range 10−6–10−3 M⊙. We carry out a detailed study of the survival of these microhaloes in the Galaxy as they experience tidal encounters with stars, molecular clouds, and other dark matter substructures. We test the validity of analytic impulsive heating calculations using high-resolution N-body simulations. A major ...

      Known for Direct Detection Experiments | Dark Matter | Galactic Substructure | Phase Space | Mass Range
      KOL-Index: 5117

      We present results from direct, large-scale molecular dynamics simulations of homogeneous bubble (liquid-to-vapor) nucleation. The simulations contain half a billion Lennard-Jones atoms and cover up to 56 million time steps. The unprecedented size of the simulated volumes allows us to resolve the nucleation and growth of many bubbles per run in simple direct micro-canonical simulations while the ambient pressure and temperature remain almost perfectly constant. We find bubble nucleation ...

      Known for Bubble Nucleation | Low Temperatures | Theory Cnt | Liquid Vapor | Average Temperature
      KOL-Index: 5021

      We show that the hierarchical assembly of cold dark matter haloes preserves the memory of the initial conditions. Using N-body cosmological simulations, we demonstrate that the present-day spatial distribution and kinematics of objects that formed within early(z≳ 10) protogalactic systems (old stars, satellite galaxies, globular clusters, massive black holes, etc.) depends mostly on the rarity of the peak of the primordial density field to which they originally belonged. Only for objects ...

      Known for Stellar Populations | Globular Clusters | Halo Stars | Satellite Galaxies | Hierarchical Assembly
      KOL-Index: 4995

      We have performed large-scale Lennard-Jones molecular dynamics simulations of homogeneous vapor-to-liquid nucleation, with 10(9) atoms. This large number allows us to resolve extremely low nucleation rates, and also provides excellent statistics for cluster properties over a wide range of cluster sizes. The nucleation rates, cluster growth rates, and size distributions are presented in Diemand et al. [J. Chem. Phys. 139, 74309 (2013)], while this paper analyses the properties of the ...

      Known for Nucleation Rates | Liquid Clusters | Molecular Dynamics | Cluster Sizes | Latent Heat
      KOL-Index: 4769

      Over the last decade, warm dark matter (WDM) has been repeatedly proposed as an alternative scenario to the standard cold dark matter (CDM) one, potentially resolving several disagreements between the CDM model and observations on small scales. Here, we reconsider the most important CDM small-scale discrepancies in the light of recent observational constraints on WDM. As a result, we find that a conventional thermal (or thermal-like) WDM cosmology with a particle mass in agreement with ...

      Known for Warm Dark Matter | Cold Dark | Small Scales | Particle Mass | Cdm Model
      KOL-Index: 4763

      We use the recently completed one billion particle Via Lactea IIΛ cold dark matter simulation to investigate local properties like density, mean velocity, velocity dispersion, anisotropy, orientation and shape of the velocity dispersion ellipsoid, as well as the structure in velocity space of dark matter haloes. We show that at the same radial distance from the halo centre, these properties can deviate by orders of magnitude from the canonical, spherically averaged values, a variation ...

      Known for Dark Matter Haloes | Velocity Dispersion | Outer Halo | Phase Space | Matter Distribution
      KOL-Index: 4664

      Merging compact binaries are the most viable and best-studied candidates for gravitational-wave (GW) detection by the fully operational network of ground-based observatories. In anticipation of the first detections, the expected distribution of GW sources in the local universe is of considerable interest. Here we investigate the full phase-space distribution of coalescing compact binaries at z = 0 using dark matter simulations of structure formation. The fact that these binary systems ...

      Known for Compact Binaries | Local Universe | Wave Observations | Host Galaxy | Kick Velocity

      Key People For Dark Matter

      Top KOLs in the world
      #1
      David N Spergel
      atacama cosmology telescope dark matter cosmic microwave background
      #2
      Carlos Silvestre Frenk
      galaxy formation dark matter satellite galaxies
      #3
      Simon David Manton White
      dark matter star formation stellar mass
      #4
      Dan Hooper
      dark matter galactic center gamma rays
      #5
      Marc Kamionkowski
      dark matter cosmic microwave background gravitational waves
      #6
      Joseph I Silk
      dark matter star formation galactic center

      Jürg Diemand:Expert Impact

      Concepts for whichJürg Diemandhas direct influence:Dark matter,  Bubble nucleation,  Local universe,  Matter halos,  Dark matter halos,  Compact binaries,  Radial distribution,  Molecular dynamics simulations.

      Jürg Diemand:KOL impact

      Concepts related to the work of other authors for whichfor which Jürg Diemand has influence:Dark matter,  Dwarf galaxies,  Star formation,  Galaxy clusters,  Angular momentum,  Galactic center,  Cosmological simulations.


       

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      Institute for Computational Science, University of Zürich, CH-8057 Zürich, Switzerland | Institute for Computational Science, University of Zürich, 8057 Zürich, Switzerland. | Institute for Computational Science, University of Zurich, 8057 Zurich, Sw

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