A methodology to select the experimental plant instrumentation based on an a priori analysis of measurement errors and instrumentation cost

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As a follow-up to the CEA-EPFL PETALE experimental program on stainless steel nuclear data, the EPFL initiated an open-loop pile-oscillation experimental program in the CROCUS reactor: BLOOM. A reproduction of the critical experiments of PETALE, the progra ...

Measuring the size of cellulose nanomaterials can be challenging, especially in the case of branched and entangled cellulose nanofibrils (CNFs). The International Organization for Standardization, Technical Committee 6, Task Group 1-Cellulosic Nanomaterial ...

In laser based powder-bed fusion of metals (PBF-LB/M), parts are fabricated by melting layers of powder using a high-intensity laser beam. During this process, the material is exposed to rapid cooling rates and intense thermal gradients, which are the unde ...

Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

We consider the problem of estimating the autocorrelation operator of an autoregressive Hilbertian process. By means of a Tikhonov approach, we establish a general result that yields the convergence rate of the estimated autocorrelation operator as a funct ...

An analytical expression to estimate the uncertainty on the frequency shift in ϕ-OTDR systems is established and confirmed by actual data. ...

Direct air capture using solid adsorbents is a proven technology critical to reducing our net greenhouse gas emissions to zero and beyond. Currently, academic research into the technology mainly focuses on the devel-opment of new adsorbents. However, there ...

Despite the rise in services generating learning analytics, there is a lack of standard models and guidelines for data integration and aggregation to inform the design choices of applications supporting learning analytics. We propose a bottom-up, user-driv ...

We analyze the clustering of galaxies using the z = 1.006 snapshot of the CosmoDC2 simulation, a high-fidelity synthetic galaxy catalog designed to validate analysis methods for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). We prese ...

Despite the importance of learning analytics in digital education, there is limited support for researchers in education to generate, access, and share experimental data while complying with ethical and privacy legislation. We propose a set of related tool ...

We propose nonparametric estimators for the second-order central moments of possibly anisotropic spherical random fields, within a functional data analysis context. We consider a measurement framework where each random field among an identically distribute ...

This dataset contains measurement and simulation data. The measurements characterize the standard meteorology, turbulence, and snow transport at the S17 site near Syowa Station in East Antarctica during an expedition in austral summer 2018/2019. Large-eddy ...

Power-to-gas plants have recently gained more attraction as these storage systems can be deployed in the European energy grid to ease the integration of renewable energy sources. Most studies in this field address several aspects, from their technical perf ...

In most studies of dam's displacement prediction based on monitoring data, emphasis was given on improving the prediction accuracy, while the model stability was merely considered. This study proposed a numerical-statistical combined model which aims to im ...

Emergence of products that feature functional surfaces with complex geometries, such as freeform optics in consumer electronics and augmented reality and virtual reality, requires high-accuracy non-contact surface measurement. However, large discrepancies ...

A measurement of the Xi cc++ candidates are reconstructed via the decay modes Xi cc++->?c+K-pi+pi+ and Xi cc++->Xi c+pi+. The result, 3621.55 +/- 0.23 (stat) +/- 0.30 (syst) MeV/c(2), is the most precise measurement of the Xi cc++ mass to date. ...

In quantum mechanics, the Heisenberg uncertainty principle places a fundamental limit in the measurement precision for certain pairs of physical quantities, such as position and momentum, time and energy or amplitude and phase. Due to the Heisenberg uncert ...

Biochemical methane potential (BMP) tests used to determine the ultimate methane yield of organic substrates are not sufficiently standardized to ensure reproducibility among laboratories. In this contribution, a standardized BMP protocol was tested in a l ...

This work proposes a method to measure the photon polarisation in

B^+ \rightarrow K^+ \pi^- \pi^+ \gamma

decays and prepares the necessary elements for this measurement using the data sets collected by the LHCb experiment at CERN in

2011

2012

, $2016 ...

The effects of operational and geometrical uncertainties on Tip Leakage Vortex (TLV) characteristics are investigated in the current research. Geometrical uncertainties are comprised of manufacturing tolerances or gradual geometry degradation over the time ...

A methodology to select the experimental plant instrumentation based on an a priori analysis of measurement errors and instrumentation cost

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Design of an Open-Loop Pile-Oscillation Program in the CROCUS Reactor

Setting priorities in CNF particle size measurement: What is needed vs. what is feasible

Advancing efficiency and reliability in thermal analysis of laser powder-bed fusion

Timing and spatial selection bias in rapid extreme event attribution

On the rate of convergence for the autocorrelation operator in functional autoregression

Analytical prediction of the final error due to noise in a ϕ-OTDR system

Process-informed adsorbent design guidelines for direct air capture

An Integrated Approach to Learning Analytics

Perturbation theory models for LSST-era galaxy clustering: Tests with subpercent mock catalog measurements in Fourier and configuration space

An End-to-End Data Pipeline for Managing Learning Analytics

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Meteorology and snow transport at S17 near Syowa, Antarctica, in austral summer 2018/2019

Application of data reconciliation methods for performance monitoring of power-to-gas plants

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Lens aberration compensation in interference microscopy

Precision measurement of the Xi(++)(cc) mass

Quantum Measurement of Mechanical Motion close to the Standard Quantum Limit

Improving Inter-Laboratory Reproducibility in Measurement of Biochemical Methane Potential (BMP)

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

On the numerical simulation of a confined cavitating tip leakage vortex under geometrical and operational uncertainties