9,449 research outputs found
Jet grooming through reinforcement learning
We introduce a novel implementation of a reinforcement learning (RL)
algorithm which is designed to find an optimal jet grooming strategy, a
critical tool for collider experiments. The RL agent is trained with a reward
function constructed to optimize the resulting jet properties, using both
signal and background samples in a simultaneous multi-level training. We show
that the grooming algorithm derived from the deep RL agent can match
state-of-the-art techniques used at the Large Hadron Collider, resulting in
improved mass resolution for boosted objects. Given a suitable reward function,
the agent learns how to train a policy which optimally removes soft wide-angle
radiation, allowing for a modular grooming technique that can be applied in a
wide range of contexts. These results are accessible through the corresponding
GroomRL framework.Comment: 11 pages, 10 figures, code available at
https://github.com/JetsGame/GroomRL, updated to match published versio
Fully differential Vector-Boson Fusion Higgs Pair Production at Next-to-Next-to-Leading Order
We calculate the fully differential next-to-next-to-leading order (NNLO) QCD
corrections to vector-boson fusion (VBF) Higgs pair production. This
calculation is achieved in the limit in which there is no colored cross-talk
between the colliding protons, using the projection-to-Born method. We present
differential cross sections of key observables, showing corrections of up to
3-4% at this order after typical VBF cuts, with the total cross section
receiving contributions of about 2%. In contrast to single Higgs VBF
production, we find that the NNLO corrections are for the most part within the
next-to-leading order scale uncertainty bands.Comment: 5 pages, 3 figures, updated to match published versio
North Slope Borough water study: a background for planning
The Planning and Research Section of Alaska Dept. of Natural
Resources initiated this pilot water study with the North Slope Borough
and the University of Alaska's Arctic Environmental Information and Data
Center and Institute of Water Resources. Traditional and present water
uses in the eight North Slope Borough villages are examined to assist in
evaluating and planning for present and future water use, treatment, and
disposal requirements.Prepared for
Alaska Department of Natural Resources
Planning and Research Sectio
Step-Indexed Logical Relations for Probability (long version)
It is well-known that constructing models of higher-order probabilistic
programming languages is challenging. We show how to construct step-indexed
logical relations for a probabilistic extension of a higher-order programming
language with impredicative polymorphism and recursive types. We show that the
resulting logical relation is sound and complete with respect to the contextual
preorder and, moreover, that it is convenient for reasoning about concrete
program equivalences. Finally, we extend the language with dynamically
allocated first-order references and show how to extend the logical relation to
this language. We show that the resulting relation remains useful for reasoning
about examples involving both state and probabilistic choice.Comment: Extended version with appendix of a FoSSaCS'15 pape
On selection criteria for problems with moving inhomogeneities
We study mechanical problems with multiple solutions and introduce a
thermodynamic framework to formulate two different selection criteria in terms
of macroscopic energy productions and fluxes. Studying simple examples for
lattice motion we then compare the implications for both resting and moving
inhomogeneities.Comment: revised version contains new introduction, numerical simulations of
Riemann problems, and a more detailed discussion of the causality principle;
18 pages, several figure
Inclusive jet spectrum for small-radius jets
Following on our earlier work on leading-logarithmic (LLR) resummations for
the properties of jets with a small radius, R, we here examine the
phenomenological considerations for the inclusive jet spectrum. We discuss how
to match the NLO predictions with small-R resummation. As part of the study we
propose a new, physically-inspired prescription for fixed-order predictions and
their uncertainties. We investigate the R-dependent part of the
next-to-next-to-leading order (NNLO) corrections, which is found to be
substantial, and comment on the implications for scale choices in inclusive jet
calculations. We also examine hadronisation corrections, identifying potential
limitations of earlier analytical work with regards to their -dependence.
Finally we assemble these different elements in order to compare matched
(N)NLO+LLR predictions to data from ALICE and ATLAS, finding improved
consistency for the R-dependence of the results relative to NLO predictions.Comment: 42 pages, 24 figures, additional material at
http://microjets.hepforge.org/, updated to match published versio
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