UNCERTAINTY QUANTIFICATION IN THE CONSTITUTIVE BEHAVIOR OF HDRBs

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Context. Imaging in radio interferometry requires solving an ill-posed noisy inverse problem, for which the most adopted algorithm is the original CLEAN algorithm and its variants. Alternative explicit optimization methods have gained increasing attention, ...

The first observation of the

{{{{\varXi } ^0_{b}} \!\rightarrow {{J \hspace{-1.66656pt}/\hspace{-1.111pt}\psi }} {{\varXi } ^-} {{\pi } ^+} }}

decay and the most precise measurement of the branching fraction of the ${{{\varLambda } ^0_{b}} !\rightarrow ...

Measurements are presented of inclusive and differential cross sections for Z boson associated production of top quark pairs (t (t) over barZ) and single top quarks (tZq or tWZ). The data were recorded in proton-proton collisions at a center-of-mass energy ...

Global water models allow us to explore the terrestrial water cycle in earth-sized digital laboratories to support science and guide policy. However, these models are still subject to considerable but also reducible uncertainties that can be attributed to ...

Most codes of practice adopt a semi probabilistic design approach for the dimensioning and assessment of structures. Accordingly, structural safety is ensured by performing limit state verifications using design values determined with adequately calibrated ...

The thesis explores the issue of fairness in the real-time (RT) control of battery energy storage systems (BESSs) hosted in active distribution networks (ADNs) in the presence of uncertainties by proposing and experimentally validating appropriate control ...

In robotic throwing, the release phase involves complex dynamic interactions due to object deformation and limited gripper opening speed, often resulting in inaccurate and nonrepeatable throws. While data-driven methods can be employed to compensate for th ...

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

In this work, we explore the use of an iterative Bayesian Monte Carlo (iBMC) method for nuclear data evaluation within a TALYS Evaluated Nuclear Data Library (TENDL) framework. The goal is to probe the model and parameter space of the TALYS code system to ...

The researchers used a machine-learning classification approach to better understand neurological features associated with periods of wayfinding uncertainty. The participants (n = 30) were asked to complete wayfinding tasks of varying difficulty in a virtu ...

Modelling and analysis of biological systems is crucial in order to quantitatively explain and predict their behaviour. The importance of modelling in systems biology becomes even more evident when tackling complex, large systems. Approaches that rely on ...

The first observation of the suppressed semileptonic B-s(0) -> K-mu(+)nu(mu) decay is reported. Using a data sample recorded in pp collisions in 2012 with the LHCb detector, corresponding to an integrated luminosity of 2 fb(-1), the branching fraction B(B- ...

Households represent a large share of flexibility on the demand side for assisting the smooth operation of the highly renewable grid. The stochastic nature of activities and various appliance usage patterns of household occupants affects the flexibility po ...

Recent cosmic shear studies have reported discrepancies of up to 1 sigma on the parameter S-8 = sigma(8) root Omega(m)/0.3 between the analysis of shear power spectra and two-point correlation functions, derived from the same shear catalogues. It is not a ...

The CKM angle gamma is measured for the first time from mixing-induced CP violation between Bs0 -> Ds -/+ K pi +/- pi -/+ and Bs0 -> Ds +/- K -/+ pi -/+ pi +/- decays reconstructed in proton-proton collision data corresponding to an in ...

The impact of nuclear data uncertainties is studied for the reactor power and the reactivity during control rod withdrawal transients with reactivity insertions of 0.5

and 0.97

, respectively, for a PWR mini-core model. Multi-group cross sections, the mul ...

Charmed hadron spectroscopy is a quickly progressing field that has enjoyed a growing interest in recent years from both theorist and experimentalists. Open-charmed hadrons consist of a heavy

c

quark bound to a light quark (

u

d

s

quarks). These p ...

Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given ...

The large-scale deployment of photovoltaics (PV) on building rooftops can play a significant role in the transition to a low-carbon energy system. To date, the lack of high-resolution building and environmental data and the large uncertainties related to e ...

Nuclear data, especially fission yields, create uncertainties in the predicted concentrations of fission products in spent fuel which can exceed engineering target accuracies. Herein, we present a new framework that extends data assimilation methods to bur ...

UNCERTAINTY QUANTIFICATION IN THE CONSTITUTIVE BEHAVIOR OF HDRBs

Chattez avec Graph Search

PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry

Observation of the ${{{\varLambda } ^0_{b}} \!\rightarrow {{J \hspace{-1.66656pt}/\hspace{-1.111pt}\psi }} {{\varXi } ^-} {{K} ^+} }$ and ${{{{\varXi } ^0_{b}} \!\rightarrow {{J \hspace{-1.66656pt}/\hspace{-1.111pt}\psi }} {{\varXi } ^-} {{\pi } ^+} }}$ decays

Measurements of Inclusive and Differential Cross Sections for Top Quark Production in Association with a Z Boson in Proton-proton Collisions at √s=13 Tev

Uncertainties as a Guide for Global Water Model Advancement

Influence of model uncertainty and long term deformations in action effects calculation in reinforced concrete structures

Fair real-time control of energy storage systems in active distribution networks in the presence of uncertainties

Tube Acceleration: Robust Dexterous Throwing Against Release Uncertainty

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Iterative Bayesian Monte Carlo for nuclear data evaluation

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

First Observation of the Decay B-s(0) -> K-mu(+)nu(mu) and a Measurement of vertical bar V-ub vertical bar/vertical bar V-cb vertical bar

Uncertainty modeling of household appliance loads for smart energy management

Consistency of cosmic shear analyses in harmonic and real space

Measurement of the CKM angle gamma and Bs0-Bs0 mixing frequency with Bs0 -> Ds -/+h +/-pi +/-pi-/+ decays

Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits

Measurement of the branching fractions for B+ -> D+ D- K+, B+ -> D- D+ K+, and B0 -> D*- D0 K+ decays

On Gaussian Process Based Koopman Operators

Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty

Data assimilation of post-irradiation examination data for fission yields from GEF