Description
Instrument Design II, Component Contributions, AI/ML
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11/07/2025, 15:00
The ICONE (Innovative COmpact NEutrons facility) is a project of a French High-Intensity Compact Accelerator-driven Neutron Source (HiCANS) aimed at delivering an instrument suite for the French scientific community at the 2035 horizon. ICONE will produce neutrons by accelerating protons to an energy 25 MeV and impacting them on a Beryllium target. The resulting neutrons will then be moderated...
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11/07/2025, 15:20
Neutron lenses can greatly benefit various experimental techniques, such as small-angle neutron scattering (SANS) and neutron imaging. In the past, diffractive neutron optics have been demonstrated, but to date, they have been underutilized1. A Fresnel zone plate (FZP) has the intrinsic advantage compared to a compound refractive lens (CRL) that it has negligible absorption, lower chromatic...
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11/07/2025, 15:40
McStas plays an important part in the development and optimization of neutron instrumentation. In the McStas package there is a specific need for a component that simulates bent single crystals. These crystals grant a high resolution and high peak reflectivity in specific focusing conditions, at the cost of lower integrated reflectivity, and a heavy dependence on the diffraction geometry....
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11/07/2025, 16:00
A new class of McStas components records the details of each neutron interaction with guide surfaces. The resulting data can be refined using large-scale data analysis tools (e.g. python’s pandas package). This enables a detailed study of e.g. the reflectivity of the guide coating required on each surface of each segment for ideal neutron transport of guide designs, especially of those...
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11/07/2025, 16:20
Current software for Monte Carlo particle tracing allow to read Monte Carlo Particle Lists (MCPL) generated by other software, usually a neutronics simulator. Currently, it is possible to perform statistical estimates of the multivariate distribution of the phase-space variables of neutrons from a MCPL file. In this work, we propose an alternative that learns the multivariate probability...
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