Concept

Méthode de Monte-Carlo par chaînes de Markov

Publications associées (449)

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes

Nuclear thermal-hydraulics (TH) system codes use several parametrized physical or empirical models to describe complex two-phase flow phenomena. The reliability of their predictions is as such primarily affected by the uncertainty associated with the param ...

EPFL2018

Accretion Disk Size Measurement and Time Delays in the Lensed Quasar WFI 2033-4723

Frédéric Courbin, Vivien François Bonvin

We present 13 seasons of R-band photometry of the quadruply lensed quasarWFI 2033-4723 from the 1.3m SMARTS telescope at CTIO and the 1.2m Euler Swiss Telescope at La Silla, in which we detect microlensing variability of similar to 0.2mag on a timescale of ...

IOP PUBLISHING LTD2018

Flat-Histogram Monte Carlo as an Efficient Tool To Evaluate Adsorption Processes Involving Rigid and Deformable Molecules

Berend Smit, Matthew David Witman

Monte Carlo simulations are the foundational technique for predicting thermodynamic properties of open systems where the process of interest involves the exchange of particles. Thus, they have been used extensively to computationally evaluate the adsorptio ...

2018

VDM-based UAV Attitude Determination in Absence of IMU Data

Jan Skaloud, Mehran Khaghani

The capability of a previously proposed VDM (vehicle dynamic model) based navigation method for UAVs is assessed in attitude determination without IMU data. This method utilizes the VDM as main process model within the navigation filter and treats data fro ...

IEEE2018

Accelerating path integral evaluation of equilibrium and kinetic isotope effects

Konstantin Karandashev

Investigating the effect of isotope substitution on equilibrium and kinetic properties of molecules has become an important tool for estimating the importance of nuclear quantum effects. In this work, we discuss calculating both equilibrium and kinetic iso ...

EPFL2018

System Level simulation framework for the ASICs development of a novel particle physics detector

Yusuf Leblebici, Alessandro Caratelli, Davide Ceresa, Simone Scarfì

The simulation of the passage of particles through matter using Monte Carlo methods is broadly used in the development of particle detectors for high energy physics experiments. To develop the readout electronics for the Compact Muon Solenoid (CMS) experim ...

IEEE2018

The Horizontal Metropolis

Paola Viganò

June 12 invited for a Talk at Comparing Habitat PhD Seminar (Swiss Universities) EPFL ...

2017

Efficient inference for genetic association studies with multiple outcomes

Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux

Combined inference for heterogeneous high-dimensional data is critical in modern biology, where clinical and various kinds of molecular data may be available from a single study. Classical genetic association studies regress a single clinical outcome on ma ...

Oxford University Press2017

On uncertainty quantification in hydrogeology and hydrogeophysics

Fabio Nobile, David Ginsbourger

Recent advances in sensor technologies, field methodologies, numerical modeling, and inversion approaches have contributed to unprecedented imaging of hydrogeological properties and detailed predictions at multiple temporal and spatial scales. Nevertheless ...

Elsevier2017

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

Andreas Pautz, Mathieu Hursin, Daniel Jerôme Siefman

This paper describes the application of data assimilation methods to CASMO-5 simulations of a Proteus research reactor experiment. Its focus is a comparison and evaluation of three prominent data assimilation methods: generalized linear least squares, MOCA ...

2017

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