11,174 research outputs found
A fresh look at diffractive photoproduction at HERA, with predictions for THERA
We quantify perturbative and non-perturbative QCD effects in the exclusive
-photoproduction cross section, and in the shrinkage of the
differential cross section with respect to momentum transfer, . We predict
that in the high energy THERA region there will always be a significant
contribution to this process that rises quickly with energy. This implies that
the taming of the rise of the cross section with energy, due to both the
expansion of spatially-small fluctuations in the photon and to higher twist
effects, is rather gradual.Comment: Published version, 29 pages, 16 figures, uses JHEP.cls. Substantially
rewritten to better emphasize the generality of the results in response to
the referee's comments. Predictions for MRST LO partons added, calculations
and discussion of the real part of the amplitude and of alpha prime improved.
Five of the original figures modified. Two new plots, of the dipole cross
section for two different values of parameter lambda, and of energy
dependence of alpha prime, added. Three additional references include
Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data
Recurrent neural networks (RNNs) are nonlinear dynamical models commonly used
in the machine learning and dynamical systems literature to represent complex
dynamical or sequential relationships between variables. More recently, as deep
learning models have become more common, RNNs have been used to forecast
increasingly complicated systems. Dynamical spatio-temporal processes represent
a class of complex systems that can potentially benefit from these types of
models. Although the RNN literature is expansive and highly developed,
uncertainty quantification is often ignored. Even when considered, the
uncertainty is generally quantified without the use of a rigorous framework,
such as a fully Bayesian setting. Here we attempt to quantify uncertainty in a
more formal framework while maintaining the forecast accuracy that makes these
models appealing, by presenting a Bayesian RNN model for nonlinear
spatio-temporal forecasting. Additionally, we make simple modifications to the
basic RNN to help accommodate the unique nature of nonlinear spatio-temporal
data. The proposed model is applied to a Lorenz simulation and two real-world
nonlinear spatio-temporal forecasting applications
Optimal payload rate limit algorithm for zero-G manipulators
An algorithm for continuously computing safe maximum relative velocities for two bodies joined by a manipulator is discussed. The maximum velocities are such that if the brakes are applied at that instant, the ensuing travel between the bodies will be less than or equal to a predetermined amount. An improvement in the way this limit is computed for space manipulators is shown. The new method is explained, test cases are posed, and the results of these tests are displayed and discussed
Revealing the black-body regime of small-x deep-inelastic scattering through final-state signals
We derive the major characteristics of inclusive and diffractive final states
in deep-inelastic scattering off heavy nuclei for the-high energy (small-x)
kinematics in which the limit of complete absorption is reached for the
dominant hadronic fluctuations in the virtual photon (the black-body limit of
the process). Both the longitudinal and transverse distributions of the leading
hadrons are found to be strikingly different from the corresponding ones within
the leading-twist approximation, and hence provide unambiguous signals for the
onset of the black-body limit.Comment: 12 pages, 1 figure, final version published in PR
Unitarity and the QCD-improved dipole picture
As a consequence of QCD factorization theorems, a wide variety of inclusive
and exclusive cross sections may be formulated in terms of a universal colour
dipole cross section at small . It is well known that for small transverse
size dipoles this cross section is related to the leading-log gluon density.
Using the measured pion-proton cross section as a guide, we suggest a
reasonable extrapolation of the dipole cross section to the large transverse
size region. We point out that the observed magnitude and small rise of the
gluon density from conventional fits implies that the DGLAP approximation has a
restricted region of applicability. We found that `higher twist' or unitarity
corrections are required in, or close to, the HERA kinematic region, even for
small `perturbative' dipoles for scattering at central impact parameters. This
means that the usual perturbative leading twist description, for moderate
virtualities, GeV, has rather large `higher twist'
corrections at small . In addition, for these virtualities, we also find
sizeable contributions from large non-perturbative dipoles (b \gsim 0.4 fm)
to , and also to . This also leads to deviations from the standard
leading twist DGLAP results, at small and moderate . Our model also
describes the low data very well without any further tuning. We
generalize the Gribov unitarity limit for the structure functions of a hadron
target to account for the blackening of the interaction at central impact
parameters and to include scattering at peripheral impact parameters which
dominate at extremely large energies.Comment: Final version, 38 pages, 16 figures, 1 table. A successful comparison
to all low Q^2 HERA data is included. The discussion has been completely
rewritten and extended to include both a detailed comparison with other
models for the dipole cross section and also a new section on the approach to
the black limit in DIS, including various new predictions. 23 new references
have been added and several figures change
- …