Taming systematic uncertainties at the LHC with the central limit theorem
Nuclear Physics B, 2016 We study the simplifications occurring in any likelihood function in the presence of a large number of small systematic uncertainties. We find that the marginalisation of these uncertainties can be done analytically by means of second-order error ...
Sylvain Fichet
doaj +1 more source
Using Bayesian Optimization to Increase the Efficiency of III‐V Multijunction Solar Cells
Advanced Theory and Simulations, EarlyView.Technology Computer Aided Design (TCAD) modeling is crucial for designing complex optoelectronic devices like III‐V multijunction solar cells. Bayesian optimization is proposed as a robust method to address challenges in optimizing costly black‐box TCAD solvers.
Pablo F. Palacios, Carlos Algora
wiley +1 more source
On the Asymptotic Behavior in Random Fields: The Central Limit Theorem
Journal of Statistical Theory and Applications (JSTA), 2019 The aim of this paper is to provide an applicable version of Central Limit Theorem for strictly stationary m-dependent random fields on a lattice. The type of sampling is considered increasing domain sampling.
Mohammad Mehdi Saber +2 more
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Lindeberg’s central limit theorems for martingale like sequences under sub-linear expectations [PDF]
, 2020 Li-Xin Zhang
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Designing High Performance Organic Donor Molecules for Photovoltaics
Advanced Theory and Simulations, EarlyView.Systematically tuning the fusion pattern and length of the π$\pi$‐bridge, along with adjusting the electron‐withdrawing (EW) strength of the terminal groups in small‐molecule donor A-π-Core-π$\text{A-}\pi \text{-Core-}\pi$‐A architectures, enables predictable modulation of the system's opto‐electronic properties.
Fabian Bauch +2 more
wiley +1 more source
Understanding the Central Limit Theorem the Easy Way: A Simulation Experiment
Proceedings, 2018 Using a simulation approach, and with collaboration among peers, this paper is intended to improve the understanding of sampling distributions (SD) and the Central Limit Theorem (CLT) as the main concepts behind inferential statistics.
Monica E. Brussolo
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Wave‐Partition‐Governed Dual‐Site Spallation in Single Crystals
Advanced Science, EarlyView.Crystalline anisotropy shapes shock‐wave propagation and the resulting damage evolution in single crystals. Large‐scale molecular dynamics and damage modeling uncover a dual‐spallation mechanism driven by anisotropic elasticplastic wave separation, which mitigates damage accumulation.
Youlin Zhu +6 more
wiley +1 more source
A central limit theorem for pulled fronts in a random medium
Networks and Heterogeneous Media, 2011 We consider solutions to a nonlinear reaction diffusion equation when the reaction term varies randomly with respect to the spatial coordinate. The nonlinearity is the KPP type nonlinearity.
James Nolen
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Imperfection in Semiconductors Leading to High Performance Devices
Advanced Science, EarlyView.Crystalline perfection is typically pursued in semiconductors to enhance device performance. However, through modeling and experimental work, we show that defects can be strategically employed in a specific detection regime to increase sensitivity to extreme values. GaN diodes are demonstrated to effectively detect high‐energy proton beams at fluxes as
Jean‐Yves Duboz +8 more
wiley +1 more source
Scalable probabilistic truss decomposition using central limit theorem and H-index. [PDF]
Distrib Parallel Databases, 2022 Esfahani F +4 more
europepmc +1 more source