12,120,447 research outputs found
Photon Multiplicity Measurements : From SPS to RHIC and LHC
Results from the photon multiplicity measurements using a fine granularity
preshower photon multiplicity detector (PMD) at CERN SPS are discussed. These
include study of pseudo-rapidity distributions of photons, scaling of photon
multiplicity with number of participating nucleons, centrality dependence of
mean transverse momentum of photons, event-by-event fluctuations in photon
multiplicity and localised charged-neutral fluctuations. Basic features of the
PMD to be used in STAR experiment at RHIC and in ALICE experiment at LHC are
also discussed.Comment: 12 pages, Invited talk at the 4th International Conference on the
Physcis and Astrophysics of the Quark-Gluon-Plasma, November 2001, Jaipur,
India, to appear in Praman
On the linear increase of the flux tube thickness near the deconfinement transition
We study the flux tube thickness of a generic Lattice Gauge Theory near the
deconfining phase transition. It is well known that the effective string model
predicts a logarithmic increase of the flux tube thickness as a function of the
interquark distance for any confining LGT at zero temperature. It is perhaps
less known that this same model predicts a linear increase in the vicinity of
the deconfinement transition. We present a precise derivation of this result
and compare it with a set of high precision simulations in the case of the 3d
gauge Ising model.Comment: 20 pages, 4 figures, minor changes. Accepted for publication in JHE
The xSAP Safety Analysis Platform
This paper describes the xSAP safety analysis platform. xSAP provides several
model-based safety analysis features for finite- and infinite-state synchronous
transition systems. In particular, it supports library-based definition of
fault modes, an automatic model extension facility, generation of safety
analysis artifacts such as Dynamic Fault Trees (DFTs) and Failure Mode and
Effects Analysis (FMEA) tables. Moreover, it supports probabilistic evaluation
of Fault Trees, failure propagation analysis using Timed Failure Propagation
Graphs (TFPGs), and Common Cause Analysis (CCA). xSAP has been used in several
industrial projects as verification back-end, and is currently being evaluated
in a joint R&D Project involving FBK and The Boeing Company
Finding Exponential Product Formulas of Higher Orders
In the present article, we review a continual effort on generalization of the
Trotter formula to higher-order exponential product formulas. The exponential
product formula is a good and useful approximant, particularly because it
conserves important symmetries of the system dynamics. We focuse on two
algorithms of constructing higher-order exponential product formulas. The first
is the fractal decomposition, where we construct higher-order formulas
recursively. The second is to make use of the quantum analysis, where we
compute higher-order correction terms directly. As interludes, we also have
described the decomposition of symplectic integrators, the approximation of
time-ordered exponentials, and the perturbational composition.Comment: 22 pages, 9 figures. To be published in the conference proceedings
''Quantum Annealing and Other Optimization Methods," eds. B.K.Chakrabarti and
A.Das (Springer, Heidelberg
Photon Neutrino Scattering in Non-Commutative Space
We extend the non-commutative standard model based on the minimal
gauge group to include the interaction of photon
with neutrino. We show that, in the gauge invariant manner, only the right
handed neutrino can directly couple to the photon. Consequently, we obtain the
Feynman rule for the -vertex which does not exist in the
minimal extension of non-commutative standard model (mNCSM). We calculate the
amplitude for in both the nonminimal non-commutative
standard model (nmNCSM) and the extended version of mNCSM. The obtained cross
section grows in the center of mass frame, respectively, as
and which can exceed the
cross section for and in
the high energy limit in the commutative space.Comment: 12 pages, 3 figures, to appear in Phys. Rev.
The Elusive p-air Cross Section
For the \pbar p and systems, we have used all of the extensive data of
the Particle Data Group[K. Hagiwara {\em et al.} (Particle Data Group), Phys.
Rev. D 66, 010001 (2002).]. We then subject these data to a screening process,
the ``Sieve'' algorithm[M. M. Block, physics/0506010.], in order to eliminate
``outliers'' that can skew a fit. With the ``Sieve'' algorithm, a
robust fit using a Lorentzian distribution is first made to all of the data to
sieve out abnormally high \delchi, the individual i point's
contribution to the total . The fits are then made to the
sieved data. We demonstrate that we cleanly discriminate between asymptotic
and behavior of total hadronic cross sections when we require
that these amplitudes {\em also} describe, on average, low energy data
dominated by resonances. We simultaneously fit real analytic amplitudes to the
``sieved'' high energy measurements of and total cross sections
and -values for GeV, while requiring that their asymptotic
fits smoothly join the the and total cross
sections at 4.0 GeV--again {\em both} in magnitude and slope. Our
results strongly favor a high energy fit, basically excluding a fit. Finally, we make a screened Glauber fit for the p-air cross section,
using as input our precisely-determined cross sections at cosmic ray
energies.Comment: 15 pages, 6 figures, 2 table,Paper delivered at c2cr2005 Conference,
Prague, September 7-13, 2005. Fig. 2 was missing from V1. V3 fixes all
figure
A New MCMC Sampling Based Segment Model for Radar Target Recognition
One of the main tools in radar target recognition is high resolution range profile (HRRP)â. âHoweverâ, âit is very sensitive to the aspect angleâ. âOne solution to this problem is to assume the consecutive samples of HRRP identically independently distributed (IID) in small frames of aspect anglesâ, âan assumption which is not true in realityâ. âHowever, bââased on this assumptionâ, âsome models have been developed to characterize the sequential information contained in the multi-aspect radar echoesâ. âThereforeâ, âthey only consider the short dependency between consecutive samplesâ. âHereâ, âwe propose an alternative modelâ, âthe segment modelâ, âto address the shortcomings of these assumptionsâ. âIn additionâ, âusing a Markov chain Monte-Carlo (MCMC) based Gibbs sampler as an iterative approach to estimate the parameters of the segment modelâ, âwe will show that the proposed method is able to estimate the parameters with quite satisfying accuracy and computational loadâ
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