119386675
Regge phenomenology of inclusive spectra in the central region
Abstract In the light of new data from the ISR, initial steps are taken towards the Regge analysis of inclusive spectra in the central region. It is shown that some features in the data necessitate the introduction of a further singularity in addition to the Pomeron and the meson trajectories ϱ - f - ω - A 2 . The resulting model yields many predictions via duality and factorisation which can easily be tested at ISR and Batavia energies.
124906083
Geometrical description of hadronic collisions
121110858
BACKWARD-SCATTERING EXTRAPOLATIONS AND BARYON COUPLINGS.
Extrapolation of an asymptotic cross section to a baryon pole cannot uniquely determine the coupling constant. The only asymptotic quantities capable of doing this are the R and A parameters. The notorious discrepancy between extrapolation of dσ(πp)/du and the known Δ width is shown to be purely illusory.
120158411
Structure of two-body correlations in high energy hadron production
Abstract Experimental information on diffraction is used to estimate long range effects in multiparticle production. Diffractively produced secondaries are found to produce a plateau in the central region. Diffraction accounts for 30% of the observed correlations and the remainder, consistent with being short range, corresponds to a cluster size of 2.4 charged particles.
118941079
Regge phenomenology of inclusive reactions
120502863
Hadronic Production with a Drell-Yan Trigger
The ratio of cross sections for producing fast ${\ensuremath{\pi}}^{+}'\mathrm{s}$ and ${\ensuremath{\pi}}^{\ensuremath{-}}'\mathrm{s}$ in association with a massive dilepton should be a strongly varying function of the mass of the pair, reducing at small mass to its value in the absence of a pair. For $\frac{{{M}_{\ensuremath{\mu}\ensuremath{\mu}}}^{2}}{s}g0.1$, the $\frac{{\ensuremath{\pi}}^{+}}{{\ensuremath{\pi}}^{\ensuremath{-}}}$ ratio should fall by a factor of 1.7 in the reactions $p+\overline{p}\ensuremath{\rightarrow}\ensuremath{\pi}+({\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}})+X$ and $p+{\ensuremath{\pi}}^{\ensuremath{-}}\ensuremath{\rightarrow}\ensuremath{\pi}+({\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}})+X$, rise by a factor of 2.6 in $p+{\ensuremath{\pi}}^{+}\ensuremath{\rightarrow}\ensuremath{\pi}+({\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}})+X$, and fall by about 25% in $p+p\ensuremath{\rightarrow}\ensuremath{\pi}+({\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}})+X$.
122809176
Measurement of the single-jet invariant cross section at Fermilab
Abstract In an experiment performed at Fermilab we have studied the production of high p t hadron jets from 400 GeV/ c pp interactions. A large solid-angle, towered calorimeter was used to trigger and reconstruct the jet events. We report results for inclusive single-jet production and compare those results with QCD predictions and results obtained at the ISR and the SPS Collider.
125525593
HADRON JETS IN 400-GeV p p COLLISIONS
120282404
A new multivariate technique for top quark search
Abstract We present a new multivariate event classifier, the PDE classifier, which can be used to identify rare signals in the presence of large backgrounds. The classifier is based on a discriminant function which uses kernel density estimates of the signal and background event densities. The PDE method offers the flexibility of a neural network but is conceptually simpler, theoretically better understood, and easier to optimize in practice. The technique is tested on Monte Carlo data using processes t t → e + E t + jets as signal and W + jets → e + Et + jets as background. The performance of the PDE classifier is similar to that of a neural network. Both methods outperform conventional analysis.
18633734
alphaPDE: A New multivariate technique for parameter estimation
Abstract We present α → PDE, a new multivariate analysis technique for parameter estimation. The method is based on a direct construction of joint probability densities of known variables and the parameters to be estimated. We show how posterior densities and best-value estimates are then obtained for the parameters of interest by a straightforward manipulation of these densities. The method is essentially non-parametric and allows for an intuitive graphical interpretation. We illustrate the method by outlining how it can be used to estimate the mass of the top quark, and we explain how the method is applied to an ensemble of events containing background.
12119345
Event Selection Using Adaptive Gaussian Kernels
The invention relates to polymorphic markers (two tetranucleotide, one dinucleotide repeat polymorphisms, 27 markers characterized by primer pairs 1A-27A, and eleven markers characterized by primer pairs 1B-11B that are useful for human individualization. Applications are in forensic medicine and for paternity and prenatal screening as well as genetic mapping. These markers are characterized by sets of oligonucleotide primers according to the invention useful in PCR amplification and DNA segment resolution. The invention further relates to an assay for measuring the subtle differences in genetic material regarding an added or omitted set of dinucleotide or tetranucleotide repeat polymorphisms which comprises obtaining an amount of nucleotide segments effective for testing, amplifying the segments by the PCR procedure using at least one primer nucleotide sequence according to the present invention, resolving the amplified segments using gel electrophoresis, and comparing the resolved segments by autoradiography to observe the differences in migration patterns due to structural differences. The assay according to the invention is easy to perform and results can be obtained within 24 hours. It is not uncommon for results to be available within 3-4 hours. Accordingly, the invention also relates to an improved PCR procedure and a PCR assay kit which comprise nucleotides according to the invention.