1,953 research outputs found
Stochastic simulations for the time evolution of systems which obey generalized statistics: Fractional exclusion statistics and Gentile's statistics
We present a stochastic method for the simulation of the time evolution in
systems which obey generalized statistics, namely fractional exclusion
statistics and Gentile's statistics. The transition rates are derived in the
framework of canonical ensembles. This approach introduces a tool for
describing interacting fermionic and bosonic systems in non-equilibrium as
ideal FES systems, in a computationally efficient manner. The two types of
statistics are analyzed comparatively, indicating their intrinsic thermodynamic
differences and revealing key aspects related to the species size.Comment: 14 pages, 5 figures, IOP forma
Second order resonant Raman scattering in single layer tungsten disulfide (WS)
Resonant Raman spectra of single layer WS flakes are presented. A
second order Raman peak (2LA) appears under resonant excitation with a
separation from the E mode of only cm. Depending on the
intensity ratio and the respective line widths of these two peaks, any analysis
which neglects the presence of the 2LA mode can lead to an inaccurate
estimation of the position of the E mode, leading to a potentially
incorrect assignment for the number of layers. Our results show that the
intensity of the 2LA mode strongly depends on the angle between the linear
polarization of the excitation and detection, a parameter which is neglected in
many Raman studies.Comment: 6 pages, 4 figure
Competition in Social Networks: Emergence of a Scale-free Leadership Structure and Collective Efficiency
Using the minority game as a model for competition dynamics, we investigate
the effects of inter-agent communications on the global evolution of the
dynamics of a society characterized by competition for limited resources. The
agents communicate across a social network with small-world character that
forms the static substrate of a second network, the influence network, which is
dynamically coupled to the evolution of the game. The influence network is a
directed network, defined by the inter-agent communication links on the
substrate along which communicated information is acted upon. We show that the
influence network spontaneously develops hubs with a broad distribution of
in-degrees, defining a robust leadership structure that is scale-free.
Furthermore, in realistic parameter ranges, facilitated by information exchange
on the network, agents can generate a high degree of cooperation making the
collective almost maximally efficient.Comment: 4 pages, 2 postscript figures include
Integer Partitions and Exclusion Statistics
We provide a combinatorial description of exclusion statistics in terms of
minimal difference partitions. We compute the probability distribution of
the number of parts in a random minimal partition. It is shown that the
bosonic point is a repulsive fixed point for which the limiting
distribution has a Gumbel form. For all positive the distribution is shown
to be Gaussian.Comment: 16 pages, 4 .eps figures include
Expression of Interest: The Atmospheric Neutrino Neutron Interaction Experiment (ANNIE)
Submitted for the January 2014 Fermilab Physics Advisory Committee meetingSubmitted for the January 2014 Fermilab Physics Advisory Committee meetingSubmitted for the January 2014 Fermilab Physics Advisory Committee meetingSubmitted for the January 2014 Fermilab Physics Advisory Committee meetingNeutron tagging in Gadolinium-doped water may play a significant role in reducing backgrounds from atmospheric neutrinos in next generation proton-decay searches using megaton-scale Water Cherenkov detectors. Similar techniques might also be useful in the detection of supernova neutrinos. Accurate determination of neutron tagging efficiencies will require a detailed understanding of the number of neutrons produced by neutrino interactions in water as a function of momentum transferred. We propose the Atmospheric Neutrino Neutron Interaction Experiment (ANNIE), designed to measure the neutron yield of atmospheric neutrino interactions in gadolinium-doped water. An innovative aspect of the ANNIE design is the use of precision timing to localize interaction vertices in the small fiducial volume of the detector. We propose to achieve this by using early production of LAPPDs (Large Area Picosecond Photodetectors). This experiment will be a first application of these devices demonstrating their feasibility for Water Cherenkov neutrino detectors
- …