17,256 research outputs found
Photon-Photon and Electron-Photon Colliders with Energies Below a TeV
We investigate the potential for detecting and studying Higgs bosons in
and collisions at future linear colliders with
energies below a TeV. Our study incorporates realistic spectra
based on available laser technology, and NLC and CLIC acceleration techniques.
Results include detector simulations. We study the cases of: a) a SM-like Higgs
boson based on a devoted low energy machine with GeV; b)
the heavy MSSM Higgs bosons; and c) charged Higgs bosons in
collisions.Comment: 29 pages, 13 figures, contributed to Snowmass 200
Exploring Complex Phases of the MSSM at Future Colliders
Once Supersymmetry is discovered, exploring the phases of supersymmetric
parameters will be one of the most important tasks of future colliders. We
analyze the possibilities of investigating the phases of the cMSSM via their
effects on the Higgs sector through radiative corrections. Within two benchmark
scenarios we compare the capabilities of the LHC, the ILC and a future gamma
gamma collider.Comment: 6 pages, 10 figures. Talk given by S. Heinemeyer at the 2005
International Linear Collider Workshop, Stanford Ca (LCWS05
Edgeworth Expansions for Spectral Density Estimates and Studentized Sample Mean - (Now published in Economic Theory, 17 (2001), pp.497-539.
We establish valid Edgeworth expansions for the distribution of smoothed nonparametric spectral estimates, and of studentized versions of linear statistics such as the same mean, where the studentization employs such a nonparametric spectral estimate. Particular attention is paid to the spectral estimate at zero frequency and, correspondingly, the studentized sample mean, to reflect econometric interest in autocorrelation-consistent or long-run variance estimation. Our main focus is on stationary Gaussian series, though we discuss relaxation of the Gaussianity assumption. Only smoothness conditions on the spectral density that are local to the frequency of interest are imposed. We deduce empirical expansions from our Edgeworth expansions designed to improve on the normal approximation in practice, and also a feasible rule of bandwidth choice.Edgeworth expansions, nonparametric spectral estimates, stationary Gaussian series, studentized sample mean, bandwidth choice.
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