11,208 research outputs found
Cut locus and heat kernel at Grushin points of 2 dimensional almost Riemannian metrics
This article deals with 2d almost Riemannian structures, which are
generalized Riemannian structures on manifolds of dimension 2. Such
sub-Riemannian structures can be locally defined by a pair of vector fields
(X,Y), playing the role of orthonormal frame, that may become colinear on some
subset. We denote D = span(X,Y). After a short introduction, I first give a
description of the local cut and conjugate loci at a Grushin point q (where Dq
has dimension 1 and Dq = TqM) that makes appear that the cut locus may have an
angle at q. In a second time I describe the local cut and conjugate loci at a
Riemannian point x in a neighborhood of a Grushin point q. Finally, applying
results of [6], I give the asymptotics in small time of the heat kernel
p_t(x,y) for y in the same neighborhood of q
Electron/Photon identification in ATLAS and CMS
Recent studies in ATLAS and CMS experiments for the reconstruction and
identification of electrons and photons using full Monte Carlo and testbeam
data are reportedComment: Talk given at the Hadron Collider Physic Symposium 2006 (HCP2006),
Durham, NC on behalf of ATLAS and CMS collaboration
Higgs search in HZZ/WW decay channels with the CMS detector
A prospective analysis for the search of the Standard Model Higgs boson
decaying in vector boson pairs is presented with the CMS experiment in the
context of the initial luminosity at the CERN LHC pp collider. Monte Carlo data
corresponding to an integrated luminosity of up to 1 fb are analysed and
the expected significance for a Standard Model-like Higgs boson in these
channels is established.Comment: 4 pages, 4 figures, proceedings of the Lake Louise Winter Institute
2009, 16th-21st February 2009, Alberta, Canad
A simple model to interpret the ultraviolet, optical and infrared SEDs of galaxies
We present a simple, largely empirical but physically motivated model, which
is designed to interpret consistently multi-wavelength observations from large
samples of galaxies in terms of physical parameters, such as star formation
rate, stellar mass and dust content. Our model is both simple and versatile
enough to allow the derivation of statistical constraints on the star formation
histories and dust contents of large samples of galaxies using a wide range of
ultraviolet, optical and infrared observations. We illustrate this by deriving
median-likelihood estimates of a set of physical parameters describing the
stellar and dust contents of local star-forming galaxies from the Spitzer
Infrared Nearby Galaxy Sample (SINGS) and from a newly-matched sample of SDSS
galaxies observed with GALEX, 2MASS, and IRAS. The model reproduces well the
observed spectral energy distributions of these galaxies across the entire
wavelength range from the far-ultraviolet to the far-infrared. We find
important correlations between the physical parameters of galaxies which are
useful to investigate the star formation activity and dust properties of
galaxies. Our model can be straightforwardly applied to interpret observed
ultraviolet-to-infrared spectral energy distributions (SEDs) from any galaxy
sample.Comment: 4 pages, 3 figures, to appear in the Conference Proceedings of IAU
Symposium No. 262: Stellar Populations - Planning for the Next Decade, G.
Bruzual & S. Charlot ed
The K-band luminosity function at z=1: a powerful constraint on galaxy formation theory
There are two major approaches to modelling galaxy evolution. The traditional
view is that the most massive galaxies were assembled early and have evolved
with steeply declining star formation rates since a redshift of 2 or higher.
According to hierarchical theories, massive galaxies were assembled much more
recently from mergers of smaller subunits. Here we present a simple
observational test designed to differentiate between the two. The observed
K-band flux from a galaxy is a good measure of its stellar mass even at high
redshift. It is probably only weakly affected by dust extinction. We compute
the evolution of the observed K-band luminosity function for traditional, pure
luminosity evolution (PLE) models and for hierarchical models. At z=0, both
models can fit the observed local K-band luminosity function. By redshift 1,
they differ greatly in the predicted abundance of bright galaxies. We calculate
the redshift distributions of K-band selected galaxies and compare these with
available data. We show that the number of K<19 galaxies with redshifts greater
than 1 is well below the numbers predicted by the PLE models. In the Songaila
et al (1994) redshift sample of 118 galaxies with 16<K<18, 33 galaxies are
predicted to lie at z>1. Only 2 are observed. In the Cowie et al. (1996)
redshift sample of 52 galaxies with 18<K<19, 28 galaxies are predicted to lie
at at z>1. Only 5 are observed. Both these samples are more than 90% complete.
We conclude that there is already strong evidence that the abundance of massive
galaxies at z=1 is well below the local value. This is inconsistent with the
traditional model, but similar to the expectations of hierarchical models.Comment: 13 pages, Latex, 4 figures included in text, submitted to MNRAS pink
page
Twelve Ways to Build CMS Crossings from ROOT Files
The simulation of CMS raw data requires the random selection of one hundred
and fifty pileup events from a very large set of files, to be superimposed in
memory to the signal event. The use of ROOT I/O for that purpose is quite
unusual: the events are not read sequentially but pseudo-randomly, they are not
processed one by one in memory but by bunches, and they do not contain orthodox
ROOT objects but many foreign objects and templates. In this context, we have
compared the performance of ROOT containers versus the STL vectors, and the use
of trees versus a direct storage of containers. The strategy with best
performances is by far the one using clones within trees, but it stays hard to
tune and very dependant on the exact use-case. The use of STL vectors could
bring more easily similar performances in a future ROOT release.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, USA, March 2003, 8 pages, LaTeX, 1 eps figures. PSN
TUKT00
OVAL: the CMS Testing Robot
Oval is a testing tool which help developers to detect unexpected changes in
the behavior of their software. It is able to automatically compile some test
programs, to prepare on the fly the needed configuration files, to run the
tests within a specified Unix environment, and finally to analyze the output
and check expectations. Oval does not provide utility code to help writing the
tests, therefore it is quite independant of the programming/scripting language
of the software to be tested. It can be seen as a kind of robot which apply the
tests and warn about any unexpected change in the output. Oval was developed by
the LLR laboratory for the needs of the CMS experiment, and it is now
recommended by the CERN LCG project.Comment: Talk from the 2003 Computing in High Energy and Nuclear Physics
(CHEP03), La Jolla, Ca, USA, March 2003, 5 pages, LaTeX, 0 eps figures. PSN
MOJT00
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