Activity log

antoine antoine updated Muons in Magnetism at 2022-05-06 12:49:04 UTC.
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changed Language to: English
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changed Keywords to: ["muons", "magnetism"]
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antoine antoine updated Collection of photon science slides at 2022-05-06 12:47:46 UTC.
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changed Language to: English
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changed Resource type to: ["Moodle course", "e-learning", "slides"]
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antoine antoine updated Muons in Superconductivity at 2022-05-06 12:47:09 UTC.
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changed Keywords to: ["extract key length scales", "muons", "superconductivity"]
antoine antoine updated Muons in Superconductivity at 2022-05-06 12:45:08 UTC.
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changed Language to: English
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changed Short description to: We will learn with Pabitra Biswas what a superconductor is, how we measure magnetic fields, extract key length scales (vortex lattice), see how the measurement works, what kind of data you get, and gain an overview of how to understand the new physics.
antoine antoine updated Introduction to Neutron Reflectometry at 2022-05-06 12:44:14 UTC.
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changed Language to: English
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changed Keywords to: ["neutron"]
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antoine antoine updated Creating your own course at 2022-05-06 12:40:38 UTC.
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changed Language to: English
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changed Keywords to: ["moodle"]
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antoine antoine updated McStas Simulation of SANS2D at 2022-05-06 12:38:51 UTC.
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changed Language to: English
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changed Keywords to: ["McStas", "mcstas simulation tool", "SANS2D"]
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antoine antoine updated Simulating LoKi with McStas at 2022-05-06 12:38:02 UTC.
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changed Language to: English
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changed Keywords to: ["McStas", "mcstas simulation tool", "LoKi"]
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antoine antoine updated McStas and McXtrace intro at 2022-05-06 12:37:23 UTC.
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changed Language to: English
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changed Keywords to: ["McStas", "mcstas simulation tool"]
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antoine antoine updated Photosynthesis and Energy 2025 at 2022-05-06 12:35:36 UTC.
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changed Keywords to: ["photosynthesis ", "energy"]
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antoine antoine updated SasView: Analysis of SAS Data at 2022-05-06 12:33:28 UTC.
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changed Language to: English
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changed Keywords to: ["small-angle scattering", "reduced data", "scattering length densities", "SasView", "polydispersity", "SAS", "data analysis", "SLD", "interparticle interaction"]
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changed Short description to: This course will demonstrate how to approach small-angle scattering (SAS) data analysis. In Section 1 you will familiarise yourself with:  - The format of reduced data  - How to use standard plots to extract information from experimental data  - How to calculate scattering length densities (SLD). In Section 2 you will familiarise yourself with the basic use of SasView. In Section 3, you will  analyse SAS test data with SasView software and see the effects of:  - Polydispersity  - Resolution  - Interparticle interaction. Section 4 and 5 are optional and will lead you through simultaneous fitting and P(r) analysis. Software for this session: SasView 5.0.4. General introduction to SasView from Linxs webinar: Video - Small Angle Scattering Data Analysis with SasView. Agenda: 9:00 – 9:10 Introduction to Lab Session 9:10 – 9:20 Introduction to Section 1 9:20 – 11:30 Work on Sections 1, 2 and 3  - break-out rooms 11:30 – 13:30 Lunch break/catch up 13:30 – 15:30: Sections 4 and 5/Own data/AtSAS/Other problems - break-out rooms if needed 15:30 – Wrap-up
antoine antoine updated Introduction to X-ray fluorescence (XRF) at 2022-05-06 12:25:39 UTC.
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changed Target audience to: ["masters students", "bachelors students"]
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changed Language to: English
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changed Keywords to: ["small molecule liquid nmr analysis", "liquid nmr sample preparation", "NMR analysis"]
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changed Short description to: Introduction to NMR analysis is a short introductory course intended for Bachelor's and Master's students of chemistry. It has been designed and is curated by Primož Šket (National Institute of Chemistry, Slovenia) and Aljoša Hafner (CERIC-ERIC, Italy). Course duration is approximately 45 min. The main goal of the course is to gain knowledge on how to perform small molecule liquid NMR analysis 1H and 13C, going from the experiment to the empirical chemical formula. The following competences will be achieved: Basic theoretical background is presented Key components to liquid NMR sample preparation (isotopic labeling, solvent exchange, size) Interactive work on 1D spectra of various compounds (e. g.CH3COOH , C2H4O2) Determining the empirical chemical formula from measured spectra Key resources: https://www.nmrdb.org/new_predictor/index.shtml?v=v2.121.0
antoine antoine updated Python Workshop (IKON20) at 2022-05-06 12:10:50 UTC.