755 research outputs found
Model Independent Constraints at Future Colliders}
Model independent constraints on the mass of extra neutral gauge bosons and
their couplings to charged leptons are given for LEP~II and a 500\,GeV
collider. Analytical exclusion limits are derived in the Born approximation.
The limits obtained with radiative corrections are always worse than those
calculated at the Born level. Polarized beams are only useful for degrees of
polarization essentially larger than 50\%. Known discovery limits on extra
bosons predicted by popular models are reproduced as special cases. The
constraints are compared to those predicted by four fermion contact
interactions.Comment: 10 Latex pages, uses epsf.sty, 5 uuencoded figures obtainable via
anonymous ftp from convex.ifh.de in /pub/preprint/ as file desy93-154.uu,
DESY 93-15
Experimental Constraints on the Scale of New Physics in Top Condensate Models
We obtain mass limits on the extra neutral gauge boson which is predicted in
a model with hidden gauge symmetry and dynamical breaking of the electroweak
symmetry by a top quark condensate. For typical model assumptions, present LEP
data exclude masses below 3\,TeV. With LEP200 or an electron-positron collider
of a c.m. energy of 500 GeV masses below 15\,TeV or 50\,TeV could be excluded,
respectively. Such high mass limits allow the calculation of the observables
used in the analysis in the context of the Nambu-Jona-Lasinio model.Comment: 7 pages, 2 figures(appended as PS files), DESY 93-111, LMU-04/9
Production Mechanisms for Mesons in Photon--Photon Collisions
Using photon-photon collisions as a particularly transparent study case we
investigate the production mechanisms for mesons. In nonrelativistic
approximation and to it is shown that recombination of
- and -quarks dominates by far over and
fragmentation. This dominance persists up to the highest accessible transverse
momenta and leads to distributions in energy which differ completely from the
spectra expected on the basis of the fragmentation functions. For processes in
which a -pair is radiated from a primary -quark, the
fragmentation description is found to be inadequate. We anticipate important
implications of these results for hadronic production of heavy quark
resonances. Using realistic photon spectra we predict two-photon production
rates for and at present and future -machines.Comment: 10 pages Latex, 6 postscript figures (included by epsf
Universal Reinforcement Learning Algorithms: Survey and Experiments
Many state-of-the-art reinforcement learning (RL) algorithms typically assume
that the environment is an ergodic Markov Decision Process (MDP). In contrast,
the field of universal reinforcement learning (URL) is concerned with
algorithms that make as few assumptions as possible about the environment. The
universal Bayesian agent AIXI and a family of related URL algorithms have been
developed in this setting. While numerous theoretical optimality results have
been proven for these agents, there has been no empirical investigation of
their behavior to date. We present a short and accessible survey of these URL
algorithms under a unified notation and framework, along with results of some
experiments that qualitatively illustrate some properties of the resulting
policies, and their relative performance on partially-observable gridworld
environments. We also present an open-source reference implementation of the
algorithms which we hope will facilitate further understanding of, and
experimentation with, these ideas.Comment: 8 pages, 6 figures, Twenty-sixth International Joint Conference on
Artificial Intelligence (IJCAI-17
Towards information optimal simulation of partial differential equations
Most simulation schemes for partial differential equations (PDEs) focus on
minimizing a simple error norm of a discretized version of a field. This paper
takes a fundamentally different approach; the discretized field is interpreted
as data providing information about a real physical field that is unknown. This
information is sought to be conserved by the scheme as the field evolves in
time. Such an information theoretic approach to simulation was pursued before
by information field dynamics (IFD). In this paper we work out the theory of
IFD for nonlinear PDEs in a noiseless Gaussian approximation. The result is an
action that can be minimized to obtain an informationally optimal simulation
scheme. It can be brought into a closed form using field operators to calculate
the appearing Gaussian integrals. The resulting simulation schemes are tested
numerically in two instances for the Burgers equation. Their accuracy surpasses
finite-difference schemes on the same resolution. The IFD scheme, however, has
to be correctly informed on the subgrid correlation structure. In certain
limiting cases we recover well-known simulation schemes like spectral Fourier
Galerkin methods. We discuss implications of the approximations made
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