14,467 research outputs found
Detecting chaos in particle accelerators through the frequency map analysis method
The motion of beams in particle accelerators is dominated by a plethora of
non-linear effects which can enhance chaotic motion and limit their
performance. The application of advanced non-linear dynamics methods for
detecting and correcting these effects and thereby increasing the region of
beam stability plays an essential role during the accelerator design phase but
also their operation. After describing the nature of non-linear effects and
their impact on performance parameters of different particle accelerator
categories, the theory of non-linear particle motion is outlined. The recent
developments on the methods employed for the analysis of chaotic beam motion
are detailed. In particular, the ability of the frequency map analysis method
to detect chaotic motion and guide the correction of non-linear effects is
demonstrated in particle tracking simulations but also experimental data.Comment: Submitted for publication in Chaos, Focus Issue: Chaos Detection
Methods and Predictabilit
Review of Linac-Ring Type Collider Proposals
There are three possibly types of particle colliders schemes: familiar (well
known) ring-ring colliders, less familiar however sufficiently advanced linear
colliders and less familiar and less advanced linac-ring type colliders. The
aim of this paper is two-fold: to present possibly complete list of papers on
linac-ring type collider proposals and to emphasize the role of linac-ring type
machines for future HEP research.Comment: quality of figures is improved, some misprints are correcte
The Heliosphere---Blowing in the Interstellar Wind
Measurements of the velocity of interstellar HeI inside of the heliosphere
have been conducted over the past forty years. These historical data suggest
that the ecliptic longitude of the direction of the interstellar flow has
increased at an average rate of about 0.19 degrees per year over time. Possible
astronomical explanations for these short-term variations in the interstellar
gas entering the heliosphere are presented.Comment: Accepted for the proceedings of Solar Wind 1
Probe of anomalous quartic couplings in the photon-photon collisions
In this paper, we examine the potentials of the processes and at the CLIC with
and TeV to investigate anomalous quartic
couplings by two different CP-violating and CP-conserving effective
Lagrangians. We find confidence level limits on the anomalous coupling
parameters at the three CLIC energies and various integrated luminosities. The
best limits obtained from the process
on the anomalous ,
and couplings
defined by CP-conserving effective Lagrangians are GeV, and GeV, while coupling
determined by CP-violating effective Lagrangians is obtained as GeV. In addition, the best limits derived on
, and
and from the
process are obtained as
GeV, GeV, and GeV, respectively.Comment: 33 pages, 27 figures, 4 tables, version to appear in JHE
Statistical Modeling of Spatial Extremes
The areal modeling of the extremes of a natural process such as rainfall or
temperature is important in environmental statistics; for example,
understanding extreme areal rainfall is crucial in flood protection. This
article reviews recent progress in the statistical modeling of spatial
extremes, starting with sketches of the necessary elements of extreme value
statistics and geostatistics. The main types of statistical models thus far
proposed, based on latent variables, on copulas and on spatial max-stable
processes, are described and then are compared by application to a data set on
rainfall in Switzerland. Whereas latent variable modeling allows a better fit
to marginal distributions, it fits the joint distributions of extremes poorly,
so appropriately-chosen copula or max-stable models seem essential for
successful spatial modeling of extremes.Comment: Published in at http://dx.doi.org/10.1214/11-STS376 the Statistical
Science (http://www.imstat.org/sts/) by the Institute of Mathematical
Statistics (http://www.imstat.org
Summary of ICHEP 2004
Aspects of ICHEP 2004 are summarized from a theoretical point of view. QCD
works, new NNLO calculations are becoming available and new string
calculational tools are emerging, but no conclusions can yet be drawn about the
discovery of the quark-gluon plasma or pentaquarks. The small upward shift in
the experimental value of m_t raises somewhat the central value of the Higgs
mass extracted from a global electroweak fit, and the CKM model describes well
the data from the B factories. The Super-Kamiokande, KamLAND and K2K
experiments have evidence for oscillation dips in their neutrino data. Little
Higgs models are interesting alternatives to low-energy supersymmetry for
stabilizing the electroweak scale. Convincing experimental evidence for dark
matter particles is still lacking. The LHC is on its way, the technology choice
clarifies the roadmap for the ILC, and a multi-TeV CLIC would also have rich
physics agenda.Comment: 19 pages LaTeX, 12 eps figures, Summary of the International
Conference on High-Energy Physics, Beijing, China, August 200
Constraining the Higgs self couplings at colliders
We study the sensitivity to the shape of the Higgs potential of single,
double, and triple Higgs production at future colliders. Physics
beyond the Standard Model is parameterised through the inclusion of
higher-dimensional operators
with , which allows a consistent treatment of independent deviations of
the cubic and quartic self couplings beyond the tree level. We calculate the
effects induced by a modified potential up to one loop in single and double
Higgs production and at the tree level in triple Higgs production, for both
boson associated and boson fusion production mechanisms. We consider two
different scenarios. First, the dimension six operator provides the dominant
contribution (as expected, for instance, in a linear
effective-field-theory(EFT)); we find in this case that the corresponding
Wilson coefficient can be determined at accuracy by just
combining accurate measurements of single Higgs cross sections at 240-250 GeV and double Higgs production in boson fusion at higher
energies. Second, both operators of dimension six and eight can give effects of
similar order, i.e., independent quartic self coupling deviations are present.
Constraints on Wilson coefficients can be best tested by combining measurements
from single, double and triple Higgs production. Given that the sensitivity of
single Higgs production to the dimension eight operator is presently unknown,
we consider double and triple Higgs production and show that combining their
information colliders at higher energies will provide first coarse constraints
on the corresponding Wilson coefficient.Comment: minor changes, version accepted for publication in JHE
Spatial modeling of extreme snow depth
The spatial modeling of extreme snow is important for adequate risk
management in Alpine and high altitude countries. A natural approach to such
modeling is through the theory of max-stable processes, an infinite-dimensional
extension of multivariate extreme value theory. In this paper we describe the
application of such processes in modeling the spatial dependence of extreme
snow depth in Switzerland, based on data for the winters 1966--2008 at 101
stations. The models we propose rely on a climate transformation that allows us
to account for the presence of climate regions and for directional effects,
resulting from synoptic weather patterns. Estimation is performed through
pairwise likelihood inference and the models are compared using penalized
likelihood criteria. The max-stable models provide a much better fit to the
joint behavior of the extremes than do independence or full dependence models.Comment: Published in at http://dx.doi.org/10.1214/11-AOAS464 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Establishing the Isolated Standard Model
The goal of this article is to initiate a discussion on what it takes to
claim "there is no new physics at the weak scale," namely that the Standard
Model (SM) is "isolated." The lack of discovery of beyond the SM (BSM) physics
suggests that this may be the case. But to truly establish this statement
requires proving all "connected" BSM theories are false, which presents a
significant challenge. We propose a general approach to quantitatively assess
the current status and future prospects of establishing the isolated SM (ISM),
which we give a reasonable definition of. We consider broad elements of BSM
theories, and show many examples where current experimental results are not
sufficient to verify the ISM. In some cases, there is a clear roadmap for the
future experimental program, which we outline, while in other cases, further
efforts -- both theoretical and experimental -- are needed in order to robustly
claim the establishment of the ISM in the absence of new physics discoveries.Comment: 10 pages, 2 figures, 1 tabl
A two-step approach to model precipitation extremes in California based on max-stable and marginal point processes
In modeling spatial extremes, the dependence structure is classically
inferred by assuming that block maxima derive from max-stable processes.
Weather stations provide daily records rather than just block maxima. The point
process approach for univariate extreme value analysis, which uses more
historical data and is preferred by some practitioners, does not adapt easily
to the spatial setting. We propose a two-step approach with a composite
likelihood that utilizes site-wise daily records in addition to block maxima.
The procedure separates the estimation of marginal parameters and dependence
parameters into two steps. The first step estimates the marginal parameters
with an independence likelihood from the point process approach using daily
records. Given the marginal parameter estimates, the second step estimates the
dependence parameters with a pairwise likelihood using block maxima. In a
simulation study, the two-step approach was found to be more efficient than the
pairwise likelihood approach using only block maxima. The method was applied to
study the effect of El Ni\~{n}o-Southern Oscillation on extreme precipitation
in California with maximum daily winter precipitation from 35 sites over 55
years. Using site-specific generalized extreme value models, the two-step
approach led to more sites detected with the El Ni\~{n}o effect, narrower
confidence intervals for return levels and tighter confidence regions for risk
measures of jointly defined events.Comment: Published at http://dx.doi.org/10.1214/14-AOAS804 in the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
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