22,812 research outputs found
The Fine-Tuning Problem of the Electroweak Symmetry Breaking Mechanism in Minimal SUSY Models
We calculate the region of the MSSM parameter space (i.e. , ,
, \ldots) compatible with a correct electroweak breaking and a realistic
top-quark mass. To do so we have included {\em all} the one-loop corrections to
the effective potential and checked their importance in order to obtain
consistent results. We also consider the fine-tuning problem due to the
enormous dependence of on (the top Yukawa coupling), which is
substantially reduced when the one-loop effects are taken into account. We also
explore the reliability of the so-called "standard" criterion to estimate the
degree of fine-tuning. As a consequence, we obtain a new set of upper bounds on
the MSSM parameters or, equivalently, on the supersymmetric masses perfectly
consistent with the present experimental bounds.Comment: talk given at the XVI Kazimierz Meeting on Elementary Particle
Physics, Kazimierz (Poland) 24-28 May 1993, 4 pages in standard LATEX + 2
figures (not included but available upon request), CERN-TH.7024/9
SUSY Soft Breaking Terms from String Scenarios
The general SUSY soft breaking terms for a large class of phenomenologically
relevant string scenarios (symmetric orbifolds) are given. They show a certain
lack of universality, but not dangerous for flavor changing neutral currents.
To get more quantitative results a specific SUSY breaking mechanism has to be
considered, namely gaugino condensation in the hidden sector. Then, it turns
out that squark and slepton masses tend to be much larger than scalar masses
(), which probably is a quite general fact. Experimental
bounds and the requirement of a successful electroweak breaking without fine
tuning impose further restrictions on the soft breaking terms. As a consequence
the gluino and chargino masses should be quite close to their present
experimental limits, whereas squark and slepton masses should be much higher (>
1 TeV).Comment: (Talk presented at the SUSY-93 Conference, Boston, March 29 - April
2, 1993), 11 pages, CERN--TH.6922/9
Comparative Enumeration Gene Expression
This paper is about differential gene expression measured by transcript counting methods such as SAGE or MPSS. It introduces two significance tests for detection of differential expressed tags: frequentist and Bayesian. Under the frequentist view, it is proposed a test that computes the critical level as a function of each tag total frequency. Under the Bayesian view the Full Bayesian Significance Test is used considering the logistic normal distribution. The two proposed significance levels, the frequentist and the Bayesian, are compared for a data set with four libraries. The linking function between them is a Beta distribution function with mean 0.39 and standard deviation 0.30
Bayesian Analysis of Simple Random Densities
A tractable nonparametric prior over densities is introduced which is closed
under sampling and exhibits proper posterior asymptotics.Comment: 19 pages; 6 figure
Predictive analysis of microarray data
Microarray gene expression data are analyzed by means of a Bayesian
nonparametric model, with emphasis on prediction of future observables,
yielding a method for selection of differentially expressed genes and a
classifier
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