587 research outputs found
Measurement of electric fields in the ionosphere Final report, Aug. 1966 - Sep. 1969
Measurement of electric fields in environmen
Generalized thermodynamic uncertainty relations
We analyze ensemble in which energy (E), temperature (T) and multiplicity (N)
can all fluctuate and with the help of nonextensive statistics we propose a
relation connecting all fluctuating variables. It generalizes Lindhard's
thermodynamic uncertainty relations known in literature.Comment: 13 pages, 2 figures, version to occur in Physica A (2011);
doi:10.1016/j.physa.2011.05.00
Multiplicity Distributions in Canonical and Microcanonical Statistical Ensembles
The aim of this paper is to introduce a new technique for calculation of
observables, in particular multiplicity distributions, in various statistical
ensembles at finite volume. The method is based on Fourier analysis of the
grand canonical partition function. Taylor expansion of the generating function
is used to separate contributions to the partition function in their power in
volume. We employ Laplace's asymptotic expansion to show that any equilibrium
distribution of multiplicity, charge, energy, etc. tends to a multivariate
normal distribution in the thermodynamic limit. Gram-Charlier expansion allows
additionally for calculation of finite volume corrections. Analytical formulas
are presented for inclusion of resonance decay and finite acceptance effects
directly into the system partition function. This paper consolidates and
extends previously published results of current investigation into properties
of statistical ensembles.Comment: 53 pages, 7 figure
Multiplicity Fluctuations in Hadron-Resonance Gas
The charged hadron multiplicity fluctuations are considered in the canonical
ensemble. The microscopic correlator method is extended to include three
conserved charges: baryon number, electric charge and strangeness. The
analytical formulae are presented that allow to include resonance decay
contributions to correlations and fluctuations. We make the predictions for the
scaled variances of negative, positive and all charged hadrons in the most
central Pb+Pb (Au+Au) collisions for different collision energies from SIS and
AGS to SPS and RHIC.Comment: 19 pages, 4 figure
Strongly Intensive Measures for Multiplicity Fluctuations
The recently proposed two families of strongly intensive measures of
fluctuations and correlations are studied within Hadron-String-Dynamics (HSD)
transport approach to nucleus-nucleus collisions. We consider the measures
and for kaon and pion multiplicities in Au+Au
collisions in a wide range of collision energies and centralities. These
strongly intensive measures appear to cancel the participant number
fluctuations. This allows to enlarge the centrality window in the analysis of
event-by-event fluctuations up to at least of 10% most central collisions. We
also present a comparison of the HSD results with the data of NA49 and STAR
collaborations. The HSD describes reasonably well. However, the
HSD results depend monotonously on collision energy and do not reproduce the
bump-deep structure of observed from the NA49 data in the
region of the center of mass energy of nucleon pair
GeV. This fact deserves further studies. The origin of this `structure' is not
connected with simple geometrical or limited acceptance effects, as these
effects are taken into account in the HSD simulations
Genome of Drosophila suzukii, the spotted wing drosophila.
Drosophila suzukii Matsumura (spotted wing drosophila) has recently become a serious pest of a wide variety of fruit crops in the United States as well as in Europe, leading to substantial yearly crop losses. To enable basic and applied research of this important pest, we sequenced the D. suzukii genome to obtain a high-quality reference sequence. Here, we discuss the basic properties of the genome and transcriptome and describe patterns of genome evolution in D. suzukii and its close relatives. Our analyses and genome annotations are presented in a web portal, SpottedWingFlyBase, to facilitate public access
Resonances and fluctuations at SPS and RHIC
We perform an analysis of preliminary data on hadron yields and fluctuations
within the Statistical hadronization ansatz. We describe the theoretical
disagreements between different statistical models currently on the market, and
show how the simultaneous analysis of yields and fluctuations can be used to
determine if one of them can be connected to underlying physics. We perform
such an analysis on preliminary RHIC and SPS A-A data that includes particle
yields, ratios and event by event fluctuations. We show that the equilibrium
statistical model can not describe the fluctuation measured at RHIC and
SPS, unless an unrealistically small volume is assumed. Such small volume then
makes it impossible to describe the total particle multiplicity. The
non-equilibrium model,on the other hand, describes both the fluctuation
and yields acceptably due to the extra boost to the fluctuation provided
by the high pion chemical potential. We show, however, that both models
significantly over-estimate the fluctuation measured at the SPS, and
speculate for the reason behind this.Comment: Presented at Hot Quarks, 2006 In press, European Physical Journal
Thermodynamic Derivation of the Tsallis and R\'enyi Entropy Formulas and the Temperature of Quark-Gluon Plasma
We derive Tsallis entropy, Sq, from universal thermostat independence and
obtain the functional form of the corresponding generalized entropy-probability
relation. Our result for finite thermostats interprets thermodynamically the
subsystem temperature, T1, and the index q in terms of the temperature, T,
entropy, S, and heat capacity, C of the reservoir as T1 = T exp(-S/C) and q = 1
- 1/C. In the infinite C limit, irrespective to the value of S, the
Boltzmann-Gibbs approach is fully recovered. We apply this framework for the
experimental determination of the original temperature of a finite thermostat,
T, from the analysis of hadron spectra produced in high energy collisions, by
analyzing frequently considered simple models of the quark-gluon plasma.Comment: 4 pages 1 Figure PRL style, revised presentatio
Adaptive Gene Expression Divergence Inferred from Population Genomics
Detailed studies of individual genes have shown that gene expression divergence often results from adaptive evolution of regulatory sequence. Genome-wide analyses, however, have yet to unite patterns of gene expression with polymorphism and divergence to infer population genetic mechanisms underlying expression evolution. Here, we combined genomic expression data—analyzed in a phylogenetic context—with whole genome light-shotgun sequence data from six Drosophila simulans lines and reference sequences from D. melanogaster and D. yakuba. These data allowed us to use molecular population genetics to test for neutral versus adaptive gene expression divergence on a genomic scale. We identified recent and recurrent adaptive evolution along the D. simulans lineage by contrasting sequence polymorphism within D. simulans to divergence from D. melanogaster and D. yakuba. Genes that evolved higher levels of expression in D. simulans have experienced adaptive evolution of the associated 3′ flanking and amino acid sequence. Concomitantly, these genes are also decelerating in their rates of protein evolution, which is in agreement with the finding that highly expressed genes evolve slowly. Interestingly, adaptive evolution in 5′ cis-regulatory regions did not correspond strongly with expression evolution. Our results provide a genomic view of the intimate link between selection acting on a phenotype and associated genic evolution
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