80,791 research outputs found
Ionospheric Corrections via PIM and Real-Time Data
We describe a method for removing ionospheric effects from single-frequency
radio data a posteriori. This method is based on a theoretical climatological
model developed by the USAF, which returns electron density as a function of
position and time along the line of sight to the source. Together with a model
of the earth's magnetic field, ionospheric delays and Faraday rotation values
ensue. If contemoraneous ionospheric data -- GPS TEC observations or ionosonde
profiles -- exist, they can be incorporated to update the modeled electron
densities.Comment: 6 pages, 2 fiugres; LaTeX2e (96/12/01); uses elsart.cls (2.15,
98/07/15); to appear in New Astronomy Review
MCFM for the Tevatron and the LHC
A summary is given of the current status of the next-to-leading order (NLO)
parton-level integrator MCFM. Some details are given about the Higgs + 2-jet
process and the production and decay of , both of which have
recently been added to the code. Using MCFM, comparisons between the Tevatron
running at ~TeV and the LHC running at ~TeV are made
for standard model process including the production of Higgs bosons. The case
for running the Tevatron until 16fb are accumulated by both detectors is
sketched.Comment: Talk presented by R.K Ellis at Loops and Legs in Quantum Field Theory
2010, Woerlitz, Germany, April 25-30, 2010, (6 pages and 4 figures
Hadronic production of a Higgs boson and two jets at next-to-leading order
We perform an update of the next-to-leading order calculation of the rate for
Higgs boson production in association with two jets. Our new calculation
incorporates the full analytic result for the one-loop virtual amplitude. This
new theoretical information allows us to construct a code including the decay
of the Higgs boson without incurring a prohibitive penalty in computer running
time. Results are presented for the Tevatron, where implications for the Higgs
search are sketched, and also for a range of scenarios at the LHC.Comment: 16 pages, 4 figure
QCD corrections to the hadronic production of a heavy quark pair and a W-boson including decay correlations
We perform an analytic calculation of the one-loop amplitude for the W-boson
mediated process 0 \to d u-bar Q Q-bar l-bar l, retaining the mass for the
quark Q. The momentum of each of the massive quarks is expressed as the sum of
two massless momenta and the corresponding heavy quark spinor is expressed as a
sum of two massless spinors. Using a special choice for the heavy quark spinors
we obtain analytic expressions for the one-loop amplitudes which are amenable
to fast numerical evaluation. The full next-to-leading order (NLO) calculation
of hadron+hadron \to W(\to e nu) b b-bar with massive b-quarks is included in
the program MCFM. A comparison is performed with previous published work.Comment: 45 pages, 17 figure
The latent process decomposition of cDNA microarray data sets
We present a new computational technique (a software implementation, data sets, and supplementary information are available at http://www.enm.bris.ac.uk/lpd/) which enables the probabilistic analysis of cDNA microarray data and we demonstrate its effectiveness in identifying features of biomedical importance. A hierarchical Bayesian model, called latent process decomposition (LPD), is introduced in which each sample in the data set is represented as a combinatorial mixture over a finite set of latent processes, which are expected to correspond to biological processes. Parameters in the model are estimated using efficient variational methods. This type of probabilistic model is most appropriate for the interpretation of measurement data generated by cDNA microarray technology. For determining informative substructure in such data sets, the proposed model has several important advantages over the standard use of dendrograms. First, the ability to objectively assess the optimal number of sample clusters. Second, the ability to represent samples and gene expression levels using a common set of latent variables (dendrograms cluster samples and gene expression values separately which amounts to two distinct reduced space representations). Third, in contrast to standard cluster models, observations are not assigned to a single cluster and, thus, for example, gene expression levels are modeled via combinations of the latent processes identified by the algorithm. We show this new method compares favorably with alternative cluster analysis methods. To illustrate its potential, we apply the proposed technique to several microarray data sets for cancer. For these data sets it successfully decomposes the data into known subtypes and indicates possible further taxonomic subdivision in addition to highlighting, in a wholly unsupervised manner, the importance of certain genes which are known to be medically significant. To illustrate its wider applicability, we also illustrate its performance on a microarray data set for yeast
Activities of the RTG Radiation Test Laboratory Progress report, 1 Jul. - 31 Dec. 1969
Safety, gamma ray spectrum, and data analysis of SNAP fuel capsule
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