Results 71 to 80 of about 846,838 (328)
Boosted Decision Trees as an Alternative to Artificial Neural Networks for Particle Identification
The efficacy of particle identification is compared using artificial neutral networks and boosted decision trees. The comparison is performed in the context of the MiniBooNE, an experiment at Fermilab searching for neutrino oscillations. Based on studies
Aguilar +11 more
core +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Robust Two-Stage Least Squares: Some Monte Carlo Experiments [PDF]
The Two-Stage Least Squares (2-SLS) is a well known econometric technique used to estimate the parameters of a multi-equation (or simultaneous equations) econometric model when errors across the equations are not correlated and the equation(s) concerned is (are) over-identified or exactly identified. However, in presence of outliers in the data matrix,
openaire +2 more sources
The Effect of Amino Acids on the Formation of Amorphous Calcium Carbonate Nanoparticles
Biomineral formation often proceeds via the assembly of amorphous calcium carbonate (ACC) nanoparticles with narrow size distributions. Using in situ SAXS coupled to a stopped‐flow device, we follow synthetic ACC formation with a 10 ms time resolution and show that amino acids narrow the size distribution at low supersaturation, highlighting their key ...
Lucas Kuhrts +10 more
wiley +1 more source
Demonstration of the event identification capabilities of the NEXT-White detector
In experiments searching for neutrinoless double-beta decay, the possibility of identifying the two emitted electrons is a powerful tool in rejecting background events and therefore improving the overall sensitivity of the experiment.
The NEXT collaboration +90 more
doaj +1 more source
A Guide to Monte Carlo Simulations in Statistical Physics
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics.
David P Landau, Kurt Binder
semanticscholar +1 more source
Electron–Matter Interactions During Electron Beam Nanopatterning
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source
The control rod worth sensitivity to the neutron detector position in the rod drop experiment is studied by the time-dependent Monte Carlo (TDMC) neutron transport calculations for AGN-201K educational reactor and the Kyoto University Critical Assembly ...
Jong Min Park +2 more
doaj +1 more source
Towards muon-electron scattering at NNLO
The recently proposed MUonE experiment at CERN aims at providing a novel determination of the leading order hadronic contribution to the muon anomalous magnetic moment through the study of elastic muon-electron scattering at relatively small momentum ...
Carlo M. Carloni Calame +5 more
doaj +1 more source
The corrected cross section of the e^+e^-\to\pi^+\pi^- process measured in the SND experiment at the VEPP-2M e^+e^- collider is presented. The update is necessary due to a flaw in the e^+e^-\to\pi^+\pi^- and e^+e^-\to\mu^+\mu^- Monte Carlo events ...
A. A. Korol +32 more
core +1 more source

