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Author: Eric Moge  or Emmanuel Farhi 


Virtual Infrastructure for Scientific Analysis (VISA) Workshop

We invite you to view our workshop – hosted jointly by ExPaNDS and PaNOSC! VISA provides remote data analysis services giving access to experimental data, analysis software, compute infrastructure and expert-user support (IT and Scientific). The online half-day Workshop is open to all external...

Keywords: VISA, expands, PaNOSC, remote data analysis services

Resource type: slides

Virtual Infrastructure for Scientific Analysis (VISA) Workshop https://pan-training.eu/materials/virtual-infrastructure-for-scientific-analysis-visa-workshop We invite you to view our workshop – hosted jointly by ExPaNDS and PaNOSC! VISA provides remote data analysis services giving access to experimental data, analysis software, compute infrastructure and expert-user support (IT and Scientific). The online half-day Workshop is open to all external stakeholders (especially scientists and IT staff but not limited to). We aim to demonstrate to beamline scientists the possibilities offered by VISA for data analysis and gathering IT staff around the table to discuss about the development and further deployment of the platform. VISA has been developed at a critical time (during the COVID-19 crisis) to answer data analysis needs and allowing remote instrument control. It provides simplified access for scientists to data analysis tools, offers remote support to users from experts and allows them to remotely control their experiments with the assistance of on-site instrument scientists. VISA allows a user to use the Remote Desktop as if they were sitting in front a data treatment workstation at the host institute and embeds JupyterLab directly accessible from the same platform interface. Initially developed at the Institut Laue-Langevin (ILL) in Grenoble, France and further deployed in the context of PaNOSC, VISA enables the PaN research infrastructures (PaN RIs) to work together on further scientific collaborations to solve 21st century challenges. The first session of the workshop showcases the implementation of VISA at the PaN RIs through ExPaNDS and PaNOSC partner’ demos and illustrate its use for scientific users and others. The second session in the afternoon focuses on presentations on VISA development and deployment (on OpenStack and other infrastructures), paving the way for a roundtable discussion on the future of VISA: sustainability and future collaborations. Video recording (direct link to vimeo) will be available soon. VISA, expands, PaNOSC, remote data analysis services
cif2hkl

A program that computes structure factors |F^2| for neutrons, x-rays, and electrons. *cif2hkl* - CrysFML based utility for generating .lau/.laz files for e.g. McStas. *Purpose* : Reads a CIF/CFL/SHX/PCR crystallographic description and generates a HKL F^2 reflection list.

Keywords: McStas, McXtrace, CrysFML, structure factor

Resource type: Git

cif2hkl https://pan-training.eu/materials/cif2hkl A program that computes structure factors |F^2| for neutrons, x-rays, and electrons. *cif2hkl* - CrysFML based utility for generating .lau/.laz files for e.g. McStas. *Purpose* : Reads a CIF/CFL/SHX/PCR crystallographic description and generates a HKL F^2 reflection list. McStas, McXtrace, CrysFML, structure factor
iFit: a simple library to analyze data

The iFit library (pronounce [eye-fit]) is a set of methods to load, analyze, plot, fit and optimize scientific data sets and models, and export results. iFit is based on Matlab, but can also be launched without Matlab license (stand-alone version).Matlab The library focuses on doing the math...

Keywords: McStas, DFT, phonons, matlab

Resource type: Git, tool

iFit: a simple library to analyze data https://pan-training.eu/materials/ifit-a-simple-library-to-analyze-data The iFit library (pronounce [eye-fit]) is a set of methods to load, analyze, plot, fit and optimize scientific data sets and models, and export results. iFit is based on Matlab, but can also be launched without Matlab license (stand-alone version).Matlab The library focuses on doing the math right. Any text file can be imported straight away, and a large set of binary files are supported. Any data dimensionality can be handled, including event based data sets (even though not all methods do work for these). Any model can be assembled for fitting data sets. McStas, DFT, phonons, matlab