2,031 research outputs found
New feature of low charm quark hadronization in collisions at TeV
Treating the light-flavor constituent quarks and antiquarks that can well
describe the data of light-flavor hadrons in collisions at
TeV as the underlying source of chromatically neutralizing the charm quarks of
low transverse momenta (), we show that the experimental data of
spectra of single-charm hadrons , ,
and at mid-rapidity in the low range
( GeV/) in collisions at TeV can
be well understood by the equal-velocity combination of perturbatively-created
charm quarks and those light-flavor constituent quarks and antiquarks. This
suggests a possible new scenario of low charm quark hadronization, in
contrast to the traditional fragmentation mechanism, in collisions at LHC
energies. This is also another support for the exhibition of the effective
constituent quark degrees of freedom for the small parton system created in
collisions at LHC energies.Comment: 7 pages, 5 figure
Enforcement and equilibrium in the permit markets when firms are risk averse
This paper explores the role of uncertainty, in the form of measurement error, in pollution regulation under a tradable permit system. In particular, we showed the neutrality between the penalty and the audit frequency does not hold when agents (firms) are risk averse. Firms respond to the weight change between penalty and monitoring effort by adjusting their demand for pollution permits, as well as their production/pollution decisions. We studied two forms of the measurement error when observing the emissions: additive and multiplicative. While there are some analytical results for a model with additive error, the same cannot be said when the error is multiplicative to the real emission. We then used numerical methods to simulate firms behavior and the industry equilibrium with multiplicative error, and to identify the best policy for the government
Simplicial Message Passing for Chemical Property Prediction
Recently, message-passing Neural networks (MPNN) provide a promising tool for
dealing with molecular graphs and have achieved remarkable success in
facilitating the discovery and materials design with desired properties.
However, the classical MPNN methods also suffer from a limitation in capturing
the strong topological information hidden in molecular structures, such as
nonisomorphic graphs. To address this problem, this work proposes a Simplicial
Message Passing (SMP) framework to better capture the topological information
from molecules, which can break through the limitation within the vanilla
message-passing paradigm. In SMP, a generalized message-passing framework is
established for aggregating the information from arbitrary-order simplicial
complex, and a hierarchical structure is elaborated to allow information
exchange between different order simplices. We apply the SMP framework within
deep learning architectures for quantum-chemical properties prediction and
achieve state-of-the-art results. The results show that compared to traditional
MPNN, involving higher-order simplex can better capture the complex structure
of molecules and substantially enhance the performance of tasks. The SMP-based
model can provide a generalized framework for GNNs and aid in the discovery and
design of materials with tailored properties for various applications
Production of single-charm hadrons by quark combination mechanism in -Pb collisions at TeV
If QGP-like medium is created in -Pb collisions at extremely high
collision energies, charm quarks that move in the medium can hadronize by
capturing the co-moving light quark(s) or anti-quark(s) to form the charm
hadrons. Using light quark spectra extracted from the experimental data
of light hadrons and a charm quark spectrum that is consistent with
perturbative QCD calculations, the central-rapidity data of spectra and
the spectrum ratios for mesons in the low range (
GeV) in minimum-bias -Pb collisions at TeV are well
described by quark combination mechanism in equal-velocity combination
approximation. The ratio in quark combination mechanism
exhibits the typical increase-peak-decrease behavior as the function of
, and the shape of the ratio for GeV is in agreement
with the preliminary data of ALICE collaboration in central rapidity region
and those of LHCb collaboration in forward rapidity region
. The global production of single-charm baryons is quantified using
the preliminary data and the possible enhancement (relative to light flavor
baryons) is discussed. The spectra of ,
in minimum-bias events and those of single-charm hadrons in high-multiplicity
event classes are predicted, which serves as the further test of the possible
change of the hadronization characteristic for low charm quarks in the
small system created in -Pb collisions at LHC energies.Comment: 13 pages, 8 figure
Plasma Modeling for Ultrashort Laser Ablation of Dielectrics
In ultrashort pulse (\u3c10 ps) laser ablation of dielectrics, affected materials are first transformed into absorbing plasma with metallic properties and, then, the subsequent laser-plasma interaction causes material removals. For ultrashort-pulse laser ablation of dielectrics, this study proposes a model using the Fokker-Planck equation for electron density distribution, a plasma model for the optical properties of ionized dielectrics, and quantum treatments for electron heating and relaxation time. The free electron density distribution of the plasma within the pulse duration is then used to determine the ablation crater shape. The predicted threshold fluences and ablation depths for barium aluminum borosilicate and fused silica are in agreement with published experimental data. It is found that the significantly varying optical properties in time and space are the key factors determining the ablation crater shape. The effects of fluence and pulse duration are also studied
A Plasma Model Combined with an Improved Two-Temperature Equation for Ultrafast Laser Ablation of Dielectrics
It remains a big challenge to theoretically predict the material removal mechanism in femtosecond laser ablation. To bypass this unresolved problem, many calculations of femtosecond laser ablation of nonmetals have been based on the free electron density distribution without the actual consideration of the phase change mechanism. However, this widely used key assumption needs further theoretical and experimental confirmation. by combining the plasma model and improved two-temperature model developed by the authors, this study focuses on investigating ablation threshold fluence, depth, and shape during femtosecond laser ablation of dielectrics through nonthermal processes (the Coulomb explosion and electrostatic ablation). The predicted ablation depths and shapes in fused silica, by using (1) the plasma model only and (2) the plasma model plus the two-temperature equation, are both in agreement with published experimental data. The widely used assumptions for threshold fluence, ablation depth, and shape in the plasma model based on free electron density are validated by the comparison study and experimental data
Repeatable Nanostructures in Dielectrics by Femtosecond Laser Pulse Trains
Using the plasma model recent developed by the authors, this study predicts the existence of a constant ablation-depth zone with respect to fluence in femtosecond laser ablation of dielectrics, which has also been observed experimentally. It is found that the value of the constant ablation depth is significantly decreased by the pulse train technology. Repeatable nanostructures can be achieved with the parameters in the constant ablation-depth zone of a femtosecond pulse train, even when the laser system is subject to fluctuations in fluences
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