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Institution

Frankfurt Institute for Advanced Studies

FacilityFrankfurt am Main, Germany
About: Frankfurt Institute for Advanced Studies is a facility organization based out in Frankfurt am Main, Germany. It is known for research contribution in the topics: Baryon & Quark–gluon plasma. The organization has 798 authors who have published 2733 publications receiving 82799 citations. The organization is also known as: FIAS.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors investigate the production of hadrons in nuclear collisions within the framework of the thermal (or statistical hadronization) model and provide predictions for the LHC energy.
Abstract: We investigate the production of hadrons in nuclear collisions within the framework of the thermal (or statistical hadronization) model. We discuss the light-quark hadrons as well as charmonium and provide predictions for the LHC energy. Even as its exact magnitude is dependent on the charm production cross section, not yet measured in Pb–Pb collisions, we can confidently predict that at the LHC the nuclear modification factor of charmonium as a function of centrality is larger than that observed at RHIC and compare the experimental results to these predictions.

165 citations

Journal ArticleDOI
TL;DR: Using a (3+1)D viscous hydrodynamic model with fluctuating initial conditions from a multiphase transport (AMPT) model, two vortical structures are revealed: a right-handed toroidal structure around each beam direction for transverse vorticity and pairing of longitudinal vortices with opposite signs in the transverse plane.
Abstract: Fermions become polarized in a vortical fluid due to spin-vorticity coupling, and the polarization density is proportional to the local fluid vorticity. The radial expansion converts spatial vortical structures in the transverse plane to spin correlations in the azimuthal angle of final Λ hyperons' transverse momentum in high-energy heavy-ion collisions. Using a (3+1)D viscous hydrodynamic model with fluctuating initial conditions from a multiphase transport (AMPT) model, we reveal two vortical structures that are common in many fluid dynamic systems: a right-handed toroidal structure around each beam direction for transverse vorticity and pairing of longitudinal vortices with opposite signs in the transverse plane. The calculated azimuthal correlation of the transverse spin is shown to have a cosine form plus an offset due to the toroidal structure of the transverse vorticity around the beam direction and the global spin polarization. The longitudinal spin correlation in the azimuthal angle shows an oscillatory structure due to multiple vorticity pairs in the transverse plane. Mechanisms of these vortical structures, physical implications of hyperon spin correlations, dependence on colliding energy, rapidity, centrality, and sensitivity to the shear viscosity are also investigated.

163 citations

Journal ArticleDOI
TL;DR: The brain has a one-back memory for visual stimuli and neural responses to an image contain as much information about the current image as it does about another image presented immediately before.
Abstract: It is currently not known how distributed neuronal responses in early visual areas carry stimulus-related information. We made multielectrode recordings from cat primary visual cortex and applied methods from machine learning in order to analyze the temporal evolution of stimulus-related information in the spiking activity of large ensembles of around 100 neurons. We used sequences of up to three different visual stimuli (letters of the alphabet) presented for 100 ms and with intervals of 100 ms or larger. Most of the information about visual stimuli extractable by sophisticated methods of machine learning, i.e., support vector machines with nonlinear kernel functions, was also extractable by simple linear classification such as can be achieved by individual neurons. New stimuli did not erase information about previous stimuli. The responses to the most recent stimulus contained about equal amounts of information about both this and the preceding stimulus. This information was encoded both in the discharge rates (response amplitudes) of the ensemble of neurons and, when using short time constants for integration (e.g., 20 ms), in the precise timing of individual spikes (#,20 ms), and persisted for several 100 ms beyond the offset of stimuli. The results indicate that the network from which we recorded is endowed with fading memory and is capable of performing online computations utilizing information about temporally sequential stimuli. This result challenges models assuming frame-by-frame analyses of sequential inputs.

163 citations

Journal ArticleDOI
TL;DR: The Ratip program has been developed as a scalar Fortran 90/95 code and provides a simple make feature which help port the code to different platforms and architectures and makes available a major part of the code for public use.

163 citations

Journal ArticleDOI
TL;DR: In this paper, the authors performed full general-relativistic simulations of binary neutron-star mergers employing three different nuclear-physics equations of state (EOSs), considering both equal-and unequal-mass configurations, and adopting a leakage scheme to account for neutrino radiative losses.
Abstract: When binary systems of neutron stars merge, a very small fraction of their rest mass is ejected, either dynamically or secularly. This material is neutron-rich and its nucleosynthesis provides the astrophysical site for the production of heavy elements in the Universe, together with a kilonova signal confirming neutron-star mergers as the origin of short gamma-ray bursts. We perform full general-relativistic simulations of binary neutron-star mergers employing three different nuclear-physics equations of state (EOSs), considering both equal- and unequal-mass configurations, and adopting a leakage scheme to account for neutrino radiative losses. Using a combination of techniques, we carry out an extensive and systematic study of the hydrodynamical, thermodynamical, and geometrical properties of the matter ejected dynamically, employing the WinNet nuclear-reaction network to recover the relative abundances of heavy elements produced by each configurations. Among the results obtained, three are particularly important. First, we find that, within the sample considered here, both the properties of the dynamical ejecta and the nucleosynthesis yields are robust against variations of the EOS and masses. Second, using a conservative but robust criterion for unbound matter, we find that the amount of ejected mass is $\ensuremath{\lesssim}{10}^{\ensuremath{-}3}\text{ }\text{ }{M}_{\ensuremath{\bigodot}}$, hence at least one order of magnitude smaller than what normally assumed in modelling kilonova signals. Finally, using a simplified and gray-opacity model we assess the observability of the infrared kilonova emission finding, that for all binaries the luminosity peaks around $\ensuremath{\sim}1/2$ day in the $H$-band, reaching a maximum magnitude of $\ensuremath{-}13$, and decreasing rapidly after one day.

162 citations


Authors

Showing all 809 results

NameH-indexPapersCitations
Wolf Singer12458072591
Peter Braun-Munzinger10052734108
R. Stock9642934877
G. Kozlov9033936161
Luciano Rezzolla9039426159
Walter Greiner84128251857
Igor Pshenichnov8336222699
Xiaofeng Zhu80106228158
Mikolaj Krzewicki7728418908
Ivan Kisel7538918330
David Edmund Johannes Linden7436118787
David Michael Rohr7121715111
Sergey Gorbunov7125815638
M. Bach7112314661
Miklos Gyulassy6935819140
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202224
2021172
2020155
2019172
2018219