2,142,765 research outputs found
Overlap Fluctuations from Random Overlap Structures
We investigate overlap fluctuations of the Sherrington-Kirkpatrick mean field
spin glass model in the framework of the Random Over- lap Structure (ROSt). The
concept of ROSt has been introduced recently by Aizenman and coworkers, who
developed a variational approach to the Sherrington-Kirkpatrick model. We
propose here an iterative procedure to show that, in the so-called Boltzmann
ROSt, Aizenman-Contucci (AC) polynomials naturally arise for almost all values
of the inverse temperature (not in average over some interval only). The same
results can be obtained in any ROSt, including therefore the Parisi structure.
The AC polynomials impose restric- tions on the overlap fluctuations in
agreement with Parisi theory.Comment: 18 page
The Overlap Package
Camera traps - cameras linked to detectors so that they fire when an animal is present - are a major source of information on the abundance and habitat preferences of rare or shy forest animals. Modern cameras record the time of the photo, and the use of this to investigate diel activity patterns was immediately recognised (Gri?ffiths and van Schaik, 1993). Initially this resulted in broad classfication of taxa as diurnal, nocturnal, crepuscular, or cathemeral (van Schaik and Gri?ths, 1996). More recently, researchers have compared activity
patterns among species to see how overlapping patterns may relate to competition or predation (Linkie and Ridout, 2011; Carver et al., 2011; Ramesh et al., 2012; Carter et al., 2012; Kamler et al., 2012; Ross et al., 2013).
Ridout and Linkie (2009) presented methods to fit kernel density functions to times of observations of animals and to estimate the coe?cient of overlapping, a quantitative measure ranging from 0 (no overlap) to 1 (identical activity patterns). The code they used forms the basis of the overlap package. Although motivated by the analysis of camera trap data, overlap could be applied to data from other sources such as data loggers, provided data collection is carried out around the clock. Nor is it limited to diel cycles: tidal cycles or seasonal cycles, such as plant flowering or fruiting or animal breeding seasons could also be investigated
Truncated Overlap Fermions
In this talk I propose a new computational scheme with overlap fermions and a
fast algorithm to invert the corresponding Dirac operator.Comment: LATTICE99(algorithms
Metric for attractor overlap
We present the first general metric for attractor overlap (MAO) facilitating
an unsupervised comparison of flow data sets. The starting point is two or more
attractors, i.e., ensembles of states representing different operating
conditions. The proposed metric generalizes the standard Hilbert-space distance
between two snapshots to snapshot ensembles of two attractors. A reduced-order
analysis for big data and many attractors is enabled by coarse-graining the
snapshots into representative clusters with corresponding centroids and
population probabilities. For a large number of attractors, MAO is augmented by
proximity maps for the snapshots, the centroids, and the attractors, giving
scientifically interpretable visual access to the closeness of the states. The
coherent structures belonging to the overlap and disjoint states between these
attractors are distilled by few representative centroids. We employ MAO for two
quite different actuated flow configurations: (1) a two-dimensional wake of the
fluidic pinball with vortices in a narrow frequency range and (2)
three-dimensional wall turbulence with broadband frequency spectrum manipulated
by spanwise traveling transversal surface waves. MAO compares and classifies
these actuated flows in agreement with physical intuition. For instance, the
first feature coordinate of the attractor proximity map correlates with drag
for the fluidic pinball and for the turbulent boundary layer. MAO has a large
spectrum of potential applications ranging from a quantitative comparison
between numerical simulations and experimental particle-image velocimetry data
to the analysis of simulations representing a myriad of different operating
conditions.Comment: 33 pages, 20 figure
Packing ellipsoids with overlap
The problem of packing ellipsoids of different sizes and shapes into an
ellipsoidal container so as to minimize a measure of overlap between ellipsoids
is considered. A bilevel optimization formulation is given, together with an
algorithm for the general case and a simpler algorithm for the special case in
which all ellipsoids are in fact spheres. Convergence results are proved and
computational experience is described and illustrated. The motivating
application - chromosome organization in the human cell nucleus - is discussed
briefly, and some illustrative results are presented
Anomalous transport with overlap fermions
Anomalous correlators of vector and axial currents which enter the Kubo
formulae for the chiral magnetic and the chiral separation conductivities are
explicitly calculated for free overlap fermions on the lattice. The results are
confronted with continuum calculations in the finite-temperature
regularization, and a subtle point of such regularization for chiral magnetic
conductivity related to the correct counting of the chiral states is
highlighted. In agreement with some previous claims in the literature, we find
that in a lattice regularization which respects gauge invariance, the chiral
magnetic conductivity vanishes. We point out that the relation of anomalous
transport coefficients to axial anomaly is nontrivial due to the
non-commutativity of their infrared limit and the Taylor expansion in baryon or
chiral chemical potential. In particular, we argue that the vector and axial
Ward identities fix the asymptotic behavior of anomalous current-current
correlators in the limit of large momenta. Basing on the work of Knecht et al.
on the perturbative non-renormalization of the transverse part of the
correlator of two vector and one axial currents, we demonstrate that the
relation of the anomalous vector-vector correlator to axial anomaly holds
perturbatively in massless QCD but might be subject to non-perturbative
corrections. Finally, we identify kinematical regimes in which the anomalous
transport coefficients can be extracted from lattice measurements.Comment: 25 pages RevTex, 7 figures; v2: published version, discussion of CME
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