International Collaboration on Advanced Neutron Sources

Session

Software

1 Nov 2023, 11:05

V7, the 4th floor

Conveners

Software

• Xiaoxiao Cai ()

Contribution list Timetable

201. TBD (Invited)

JUNRONG ZHANG (CSNS)

01/11/2023, 11:05

62. Refining magnetic structures using representational theory and SARAh - learning from simplicity and serendipity (Inivted)

Andrew Wills (University College London)

01/11/2023, 11:30

224. Dysurf: A program for simulating four-dimensional dynamical structure factor for inelastic neutron scattering measurement

Jiawang Hong (Beijing Institute of Technology)

Oral presentation

Inelastic neutron scattering is a powerful technology to measure the lattice dynamics of materials, which is essential to understand the thermal transport properties and other phonon-related properties. The realization of obtaining a sufficient amount of effective data within a limited time is a major demand facing the development of the current inelastic scattering technology. Here, we...

61. McStas 25 years, project status and future

Peter Willendrup (European Spallation Source (ESS) and Technical University of Denmark (DTU))

39. Scientific computing and data management for the users of the European Spallation Source ERIC

Thomas Rod (European Spallation Source ERIC)

Oral presentation

The importance of scientific computing and data management for harnessing the full potential of the European Spallation Source (ESS) was recognized early on in the ESS’s design phase. The ESS Data Management and Software Centre (DMSC) was therefore already established at the foundation of ESS and charged with providing the scientific computing tools and services that users need from proposal...

63. Scientific computing and data management for the users of the European Spallation Source ERIC (Invited)

Thomas Rod (European Spallation Source ERIC)

226. Simulating single-crystal inelastic scattering in full phase-space

Xiaoxiao Cai

Oral presentation

To simulate inelastic neutron scattering in a single crystal, the algorithm needs to sample a high dimensional distribution. The numerical difficulties are twofold. To start with, the memory footprint of such distribution is typically challenging for mainstream computers to handle. Secondly, the energy and momentum resolutions of the sampled results may not optimised, if the distribution is...

165. TBD

JUNRONG ZHANG (CSNS)

164. TBD

Xiaoxiao Cai

225. Unveiling local magnetic correlations: the development of magnetic pair distribution function at CSNS

Long Yang (Tongji University)

Oral presentation

The magnetic pair distribution function (mPDF) analysis of neutron total scattering data has recently emerged as a powerful method for investigating the local magnetic correlations in materials. Similar to the atomic pair distribution function (PDF) method, the mPDF utilizes the Fourier transform of the magnetic neutron scattering cross section to obtain information about magnetic structures...