5,338 research outputs found
Searches at LEP2 latest results
Searches for the Higgs boson of the Standard Model and supersymmetric models have been performed by the four LEP experiments in the data collected over almost 12 years (August/1989 until November/2000) at centre-of-mass energies varying from 91.2 GeV to 209 GeV. An excess of candidates for the process e/sup +/e/sup -/ to Z* to Z/sup 0/H/sup 0/ was found for Higgs masses near 114 GeV. (9 refs)
BIO-ENERGY FROM WINERY BY-PRODUCTS: A NEW MULTIFUNCTIONAL TOOL FOR THE ITALIAN WINE DISTRICTS
This paper aims to investigate if the legislation will allow the production of energy from winery by-products and how this can contribute to multifunctionality of the wine makers’ income. A medium size winery was selected and an anaerobic digestor process was simulated using the company’s data. The main methods of financial evaluation were studied to create information to see if the project concepts were valid. The results highlight the positive level of earnings that the project will generate due to the high level of methane included in the pressings that could be transformed in energy, the short period needed for obtaining methane and the recent substantial level of government support both in Green Certificates and financing of the initial cost of the investments.Biomass, winery by-products, multifunctionality, energy, wine district, Agribusiness, Community/Rural/Urban Development, Resource /Energy Economics and Policy,
Physics-related epistemic uncertainties in proton depth dose simulation
A set of physics models and parameters pertaining to the simulation of proton
energy deposition in matter are evaluated in the energy range up to
approximately 65 MeV, based on their implementations in the Geant4 toolkit. The
analysis assesses several features of the models and the impact of their
associated epistemic uncertainties, i.e. uncertainties due to lack of
knowledge, on the simulation results. Possible systematic effects deriving from
uncertainties of this kind are highlighted; their relevance in relation to the
application environment and different experimental requirements are discussed,
with emphasis on the simulation of radiotherapy set-ups. By documenting
quantitatively the features of a wide set of simulation models and the related
intrinsic uncertainties affecting the simulation results, this analysis
provides guidance regarding the use of the concerned simulation tools in
experimental applications; it also provides indications for further
experimental measurements addressing the sources of such uncertainties.Comment: To be published in IEEE Trans. Nucl. Sc
Quantifying the unknown: issues in simulation validation and their experimental impact
The assessment of the reliability of Monte Carlo simulations is discussed,
with emphasis on uncertainty quantification and the related impact on
experimental results. Methods and techniques to account for epistemic
uncertainties, i.e. for intrinsic knowledge gaps in physics modeling, are
discussed with the support of applications to concrete experimental scenarios.
Ongoing projects regarding the investigation of epistemic uncertainties in the
Geant4 simulation toolkit are reported.Comment: To be published in the Proceedings of the 13th ICATPP Conference on
Astroparticle, Particle, Space Physics and Detectors for Physics
Applications, Villa Olmo, Como, 3-7 October 201
Refactoring, reengineering and evolution: paths to Geant4 uncertainty quantification and performance improvement
Ongoing investigations for the improvement of Geant4 accuracy and
computational performance resulting by refactoring and reengineering parts of
the code are discussed. Issues in refactoring that are specific to the domain
of physics simulation are identified and their impact is elucidated.
Preliminary quantitative results are reported.Comment: To be published in the Proc. CHEP (Computing in High Energy Physics)
201
Geant4-related R&D for new particle transport methods
A R&D project has been launched in 2009 to address fundamental methods in
radiation transport simulation and revisit Geant4 kernel design to cope with
new experimental requirements. The project focuses on simulation at different
scales in the same experimental environment: this set of problems requires new
methods across the current boundaries of condensed-random-walk and discrete
transport schemes. An exploration is also foreseen about exploiting and
extending already existing Geant4 features to apply Monte Carlo and
deterministic transport methods in the same simulation environment. An overview
of this new R&D associated with Geant4 is presented, together with the first
developments in progress.Comment: 4 pages, to appear in proceedings of the Nuclear Science Symposium
and Medical Imaging Conference 2009, Orland
Research in Geant4 electromagnetic physics design, and its effects on computational performance and quality assurance
The Geant4 toolkit offers a rich variety of electromagnetic physics models;
so far the evaluation of this Geant4 domain has been mostly focused on its
physics functionality, while the features of its design and their impact on
simulation accuracy, computational performance and facilities for verification
and validation have not been the object of comparable attention yet, despite
the critical role they play in many experimental applications. A new project is
in progress to study the application of new design concepts and software
techniques in Geant4 electromagnetic physics, and to evaluate how they can
improve on the current simulation capabilities. The application of a
policy-based class design is investigated as a means to achieve the objective
of granular decomposition of processes; this design technique offers various
advantages in terms of flexibility of configuration and computational
performance. The current Geant4 physics models have been re-implemented
according to the new design as a pilot project. The main features of the new
design and first results of performance improvement and testing simplification
are presented; they are relevant to many Geant4 applications, where
computational speed and the containment of resources invested in simulation
production and quality assurance play a critical role.Comment: 4 pages, 4 figures and images, to appear in proceedings of the
Nuclear Science Symposium and Medical Imaging Conference 2009, Orland
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