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Active DMPs for Photon and Neutron RIs

This deliverable envisions an integrated aDMP system which supports the (semi-) automated generation of DMPs by maximising reuse of information generated during the research life-cycle and also aiming to support the scientists and other stakeholders by supporting information transfer....

Keywords: expands, wp2-ExPaNDS, DMP, data management plan, data management

Resource type: Document

Active DMPs for Photon and Neutron RIs https://pan-training.eu/materials/active-dmps-for-photon-and-neutron-ris This deliverable envisions an integrated aDMP system which supports the (semi-) automated generation of DMPs by maximising reuse of information generated during the research life-cycle and also aiming to support the scientists and other stakeholders by supporting information transfer. Therefore, a data model for aDMPs focusing on the integration of information that exists before a proposal is submitted and its life-cycle integration is introduced. It relates the data model also to the template created in PaNOSC. expands, wp2-ExPaNDS, DMP, data management plan, data management PaN Community
Self-evaluation Photon and Neutron RIs for FAIR data certification

This ExPaNDS project deliverable describes a FAIR self-assessment undertaken by the ten ExPaNDS partner Photon and Neutron Research Infrastructures (PaN RIs) over the three-month period July – September 2022. After reviewing selected examples of existing FAIR evaluation frameworks designed to...

Keywords: FAIR, metadata, expands, European Photon and Neutron facilities , wp2-ExPaNDS

Resource type: Document

Self-evaluation Photon and Neutron RIs for FAIR data certification https://pan-training.eu/materials/self-evaluation-photon-and-neutron-ris-for-fair-data-certification This ExPaNDS project deliverable describes a FAIR self-assessment undertaken by the ten ExPaNDS partner Photon and Neutron Research Infrastructures (PaN RIs) over the three-month period July – September 2022. After reviewing selected examples of existing FAIR evaluation frameworks designed to enable assessment at different levels (dataset, repository, and organisation), the report describes the evaluation approach adopted for the ExPaNDS FAIR self-assessment. As no existing framework met our specific need to focus on FAIR workflows and processes in PaN RIs, it was necessary to select, combine, and adapt existing frameworks. Supported by four underlying guiding principles, our approach drew heavily on the FAIR Principles, the RDA FAIR Data Maturity Model, and FAIRsFAIR’s CoreTrustSeal+FAIRenabling framework. Post-evaluation feedback from ExPaNDS partners indicated that they found the FAIR self-assessment a useful and valuable exercise for understanding current levels of FAIRness at their facilities and for articulating what implementations they have in progress or planned to support FAIR in future. A key output of the ExPaNDS FAIR evaluation is the collected self-assessment reports from the ten partner facilities. These reports are published openly and in full as part of the deliverable. In addition, the self-assessments are supplemented with some high-level observations on the state of the FAIR journey across the ExPaNDS facilities. FAIR, metadata, expands, European Photon and Neutron facilities , wp2-ExPaNDS PaN Community
PaNOSC + ExPaNDS outcomes boosting Interoerability Data and Services for Photon and Neutron (PaN) Science / EOSC Symposium 2022 plenary

EOSC Symposium 2022 presentation by Andy Gotz: PaNOSC + ExPaNDS outcomes boosting Interoerability Data and Services for Photon and Neutron (PaN) Science.

Keywords: expands, PaNOSC

Resource type: video

PaNOSC + ExPaNDS outcomes boosting Interoerability Data and Services for Photon and Neutron (PaN) Science / EOSC Symposium 2022 plenary https://pan-training.eu/materials/panosc-expands-outcomes-boosting-interoerability-data-and-services-for-photon-and-neutron-pan-science-eosc-symposium-2022-plenary EOSC Symposium 2022 presentation by Andy Gotz: PaNOSC + ExPaNDS outcomes boosting Interoerability Data and Services for Photon and Neutron (PaN) Science. expands, PaNOSC PaN Community
Joint Public Session ExPaNDS/PaNOSC on metadata catalogues (SciCat implementation) and future perspectives

Presentations from public joint WP3 Meeting for ExPaNDS and PaNOSC, which took place in hybrid format from SOLEIL (France) and via Zoom on the 3rd November 2022. A recording of the event can be found on the ExPaNDS website: https://expands.eu/presentations/ Video recording (direct link to...

Keywords: expands, PaNOSC, open data, wp3-ExPaNDS

Resource type: slides

Joint Public Session ExPaNDS/PaNOSC on metadata catalogues (SciCat implementation) and future perspectives https://pan-training.eu/materials/work-package-3-public-meeting Presentations from public joint WP3 Meeting for ExPaNDS and PaNOSC, which took place in hybrid format from SOLEIL (France) and via Zoom on the 3rd November 2022. A recording of the event can be found on the ExPaNDS website: https://expands.eu/presentations/ Video recording (direct link to vimeo) will be available soon. expands, PaNOSC, open data, wp3-ExPaNDS data managers
Full-field Tomography at PSI

This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data. If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the...

Keywords: synchrotron, imaging, Jupyter notebooks, Python, Pulmonary arterial hypertension

Resource type: workflow

Full-field Tomography at PSI https://pan-training.eu/materials/full-field-tomography-at-psi This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data. If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the Pulmonary arterial hypertension research workflow. Full-field Tomography at PSI Tomography datasets often present large volumes (100 GBs - few TBs) difficult to compress and transfer. The tomographic reconstruction is highly demanding on compute (GPU) and storage resources for the intermediate and/or final result. In addition, the optional image segmentation step may be demanding on computer memory. The offline analysis (after experiment) could be performed remotely by users at home making it attractive for deployment as a cloud-like use case. Finally, this technique is applied at many facilities and in different scientific domains - therefore a portable result is more useful. This entire process is illustrated with a typical experiment. synchrotron, imaging, Jupyter notebooks, Python, Pulmonary arterial hypertension research data scientist life scientists
Training Workflow on Terahertz Spectroscopy at TELBE

The radiation source ELBE (Electron Linac for beams with high Brilliance and low Emittance) at the Helmholtz Centre Dresden Rossendorf (HZDR) can produce several kinds of secondary radiations. THz radiation is one of them and can be used with a typical pulse frequency of 100 kHz as a stimulation...

Scientific topics: spectroscopy, THz photon probe

Keywords: terahertz, Higgs, dataset, data analysis, spectroscopy, FAIR, training, TELBE, photon, metadata, TELBE

Resource type: lesson, workflow, training

Training Workflow on Terahertz Spectroscopy at TELBE https://pan-training.eu/materials/terahertz-spectroscopy-workflow The radiation source ELBE (Electron Linac for beams with high Brilliance and low Emittance) at the Helmholtz Centre Dresden Rossendorf (HZDR) can produce several kinds of secondary radiations. THz radiation is one of them and can be used with a typical pulse frequency of 100 kHz as a stimulation source for elementary low-energy degrees of freedom in matter. In this training workflow brings together background information of the experiment, the facility used, as well as the processing techniques and steps to understand the data generated by the experiment: * The open accessible dataset * The software * Services to execute the analysis spectroscopy THz photon probe terahertz, Higgs, dataset, data analysis, spectroscopy, FAIR, training, TELBE, photon, metadata, TELBE PaN Community beamline users graduate students
NOBUGS 2022

The 13th NOBUGS Conference was held at Paul Scherrer Institute, Villigen, Switzerland on September 19-22, 2022. The goal of the NOBUGS (New Opportunities for Better User Group Software) Conference Series is to foster collaboration and exchange between scientists and IT professionals working on...

Keywords: NOBUGS, scientific software

Resource type: video, slides

NOBUGS 2022 https://pan-training.eu/materials/nobugs-2022 The 13th NOBUGS Conference was held at Paul Scherrer Institute, Villigen, Switzerland on September 19-22, 2022. The goal of the NOBUGS (New Opportunities for Better User Group Software) Conference Series is to foster collaboration and exchange between scientists and IT professionals working on software for X-ray, neutron and muon sources from around the world. Program Themes: - Data acquisition systems - Data reduction - User interfaces - Data catalogs/Electronic Notebooks - Data Streaming - Use of (commercial) Cloud Systems - Web Tools - Workflow Engines & Tools - Other Relevant Topics NOBUGS, scientific software
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
Final recommendations for FAIR Photon and Neutron Data Management

The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a common metadata framework for FAIR data generated in Photon and Neutron (PaN) facilities. The modalities of implementation of this framework across facilities are examined and current practices and...

Keywords: expands, wp2-ExPaNDS, FAIR, data management

Resource type: Document

Final recommendations for FAIR Photon and Neutron Data Management https://pan-training.eu/materials/final-recommendations-for-fair-photon-and-neutron-data-management The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a common metadata framework for FAIR data generated in Photon and Neutron (PaN) facilities. The modalities of implementation of this framework across facilities are examined and current practices and tools for metadata capture, storage and exposure are highlighted. This work is also the occasion to examine the commonalities of the framework with other initiatives developed inside and outside ExPaNDS such as the common search API, the data catalogues (ExPaNDS WP3), the EOSC discovery platforms B2FIND and OpenAire as well as the NeXus data format. It also provides the reader with guidelines on current tools and schemata available to record provenance and digital preservation information. The essence of these discussions is summarised as a list of practical recommendations at the end. expands, wp2-ExPaNDS, FAIR, data management PaN Community
ILL's PhD talks

This YouTube playlist displays the ILL PhD seminars, recorded in winter and spring 2021. We thank all the speakers who have agreed to have their presentation shared in this collection, curated by Valerie Duchasténier and Steph Monfront.

Scientific topics: neutron scattering, small angle neutron scattering, time-of-flight spectrometry, magnetism technique, neutron time of flight technique

Keywords: neutron scattering theorie, neutron transport , monochromization, polarized neutrons, multi grid detectors, guide fields and solenoids, quasi-elastic neutron scattering, Small Angle Neutron Scattering, time-of-flight, magnetism and neutrons, ultra cold neutrons, Nuclear Physics

Resource type: video

ILL's PhD talks https://pan-training.eu/materials/ill-s-phd-talks This YouTube playlist displays the ILL PhD seminars, recorded in winter and spring 2021. We thank all the speakers who have agreed to have their presentation shared in this collection, curated by Valerie Duchasténier and Steph Monfront. neutron scattering small angle neutron scattering time-of-flight spectrometry magnetism technique neutron time of flight technique neutron scattering theorie, neutron transport , monochromization, polarized neutrons, multi grid detectors, guide fields and solenoids, quasi-elastic neutron scattering, Small Angle Neutron Scattering, time-of-flight, magnetism and neutrons, ultra cold neutrons, Nuclear Physics PhD students
PaNOSC WP8 Summerschool 2022

No short description available.

Resource type: Moodle course, e-learning

PaNOSC WP8 Summerschool 2022 https://pan-training.eu/materials/panosc-wp8-summerschool-2022 No short description available.
Muons in Chemistry

No short description available.

Resource type: Moodle course, e-learning

Muons in Chemistry https://pan-training.eu/materials/muons-in-chemistry No short description available.
Offline data analysis tutorial

Tutorial on European XFEL offline data analysis as per example of MID instrument data

Scientific topics: small angle x-ray scattering

Keywords: Extra-data, Extra-geom, pyFAI, data analysis

Resource type: jupyter notebook

Offline data analysis tutorial https://pan-training.eu/materials/offline-analysis-tutorial Tutorial on European XFEL offline data analysis as per example of MID instrument data small angle x-ray scattering Extra-data, Extra-geom, pyFAI, data analysis PaN users beamline users research data scientist
A deep dive into the mathematics of Machine Learning

Crash course on Machine Learning

Keywords: machine learning

Resource type: slides

A deep dive into the mathematics of Machine Learning https://pan-training.eu/materials/a-deep-dive-into-the-mathematics-of-machine-learning Crash course on Machine Learning machine learning research data scientist masters students PhD students
Jupyter notebooks on Machine Learning for scientific data analysis

Jupyter Notebooks serving as supplementary material for a tutorial on Machine Learning, originally presented at the 2022 European XFEL user meeting.

Resource type: jupyter notebook

Jupyter notebooks on Machine Learning for scientific data analysis https://pan-training.eu/materials/jupyter-notebooks-on-machine-learning-for-scientific-data-analysis Jupyter Notebooks serving as supplementary material for a tutorial on Machine Learning, originally presented at the 2022 European XFEL user meeting. research data scientist PhD students masters students
DTU course / X-ray and Neutron Experiments at International Research Facilities

No short description available.

Resource type: Moodle course, e-learning

DTU course / X-ray and Neutron Experiments at International Research Facilities https://pan-training.eu/materials/the-structure-and-dynamics-of-materials-studied-with-x-rays-and-neutrons No short description available.
European Photon and Neutron Open Data Search Portal

The European Photon and Neutron sources are working together in the PaNOSC and ExPaNDS projects financed by the European Commission to build the European Open Science Cloud. One of the main objectives of the EOSC is to make Open Data from these facilities FAIR. This portal implements the...

Keywords: FAIR, federated search engine, open data, EOSC

Resource type: tool

European Photon and Neutron Open Data Search Portal https://pan-training.eu/materials/european-photon-and-neutron-open-data-search-portal The European Photon and Neutron sources are working together in the PaNOSC and ExPaNDS projects financed by the European Commission to build the European Open Science Cloud. One of the main objectives of the EOSC is to make Open Data from these facilities FAIR. This portal implements the F(indable) part of FAIR via a **federated search engine** from the following facilities: - European Spallation Source - Institut Laue Langevin - MAX IV Additional facilities will be included in the federated search as their search engines come online locally. The goal is to include all photon and neutron facilites who provide open data by the end of the two projects PaNOSC and ExPaNDS. The mission of the PaN data search portal is to contribute to the realization of a data commons for Neutron and Photon science. The search results provide a link to the landing page of the data DOIs through which the other data services provided by PaNOSC and ExPaNDS for data downloading, analysis, notebooks and simulation can be accessed. The aim of the portal is to facilitate using data from photon and neutron sources for the many scientists from existing and future disciplines. To achieve this aim, the exchange of know-how and experiences is crucial to driving a change in culture by embracing Open Science among the targeted scientific communities. This is why the project works closely with the national photon and neutron sources in Europe to develop common policies, strategies and solutions in the area of FAIR data policy, data management and data services. FAIR, federated search engine, open data, EOSC
Photosynthesis and Energy 2024

No short description available.

Keywords: photosynthesis , energy

Resource type: Moodle course, e-learning

Photosynthesis and Energy 2024 https://pan-training.eu/materials/photosynthesis-and-energy-2022 No short description available. photosynthesis , energy
Introduction to McStas

No short description available.

Keywords: McStas, mcstas simulation tool

Resource type: Moodle course, e-learning

Introduction to McStas https://pan-training.eu/materials/introduction-to-mcstas No short description available. McStas, mcstas simulation tool
DMSC - Instrument Scientists workshop (2022)

If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub Access the course by clicking on the JupyterHub link (bellow). Click Start My Server > Start and your container will launch.

Resource type: Moodle course, e-learning

DMSC - Instrument Scientists workshop (2022) https://pan-training.eu/materials/dmsc-instrument-scientists-workshop-2022 If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub Access the course by clicking on the JupyterHub link (bellow). Click Start My Server > Start and your container will launch.
SimEx (Simulating Experiments): Examples

SimEx is a program for simulating experiments at advanced laser and x-ray light sources. All aspects of a typical experiment can be modeled. This includes the photon source, light transport through optics, interaction with a target or sample, scattering from the latter, photon detection, and data...

Keywords: simulation, SimEx

Resource type: Moodle course, e-learning

SimEx (Simulating Experiments): Examples https://pan-training.eu/materials/simex-simulating-experiments-examples SimEx is a program for simulating experiments at advanced laser and x-ray light sources. All aspects of a typical experiment can be modeled. This includes the photon source, light transport through optics, interaction with a target or sample, scattering from the latter, photon detection, and data analysis. A simulation can contain, one, several, or all of these parts. Documentation: https://simex.readthedocs.io/en/latest/include/introduction.html Github: https://github.com/PaNOSC-ViNYL/SimEx Here you can have a go at using SimEx without local installation: 1. Launch JupyterHub 2. Click Start my server 3. Select a notebook. Here is a list of notebooks available: crl\_focus - currently not working! edge EuXFEL\_SASE1\_SPB\_KBfocus - currently not working! propagation\_example\_01 propagation\_example\_02 - currently not working! spheres - currently not working! wire simulation, SimEx
Simulation of boron carbide diffraction with D2B

Simulation of boron carbide diffraction with D2B

Keywords: simulation, boron carbide diffraction, D2B

Resource type: Moodle course, e-learning

Simulation of boron carbide diffraction with D2B https://pan-training.eu/materials/simulation-of-boron-carbide-diffraction-with-d2b Simulation of boron carbide diffraction with D2B simulation, boron carbide diffraction, D2B
Simulating LoKi with McStas

No short description available.

Keywords: McStas, mcstas simulation tool, LoKi

Resource type: Moodle course, e-learning

Simulating LoKi with McStas https://pan-training.eu/materials/simulating-loki-with-mcstas No short description available. McStas, mcstas simulation tool, LoKi
Introduction to Neutron Reflectometry Fitting

This course was originally developed by Andrew McCluskey from the European Spallation Source for the ISIS Virtual Reflectometry Training Course. The full course can be read as a online book at: https://www.reflectometry.org/isis_school/intro.html The files can found on GitHub at...

Keywords: isis virtual reflectometry

Resource type: Moodle course, e-learning

Introduction to Neutron Reflectometry Fitting https://pan-training.eu/materials/introduction-to-neutron-reflectometry-fitting This course was originally developed by Andrew McCluskey from the European Spallation Source for the ISIS Virtual Reflectometry Training Course. The full course can be read as a online book at: https://www.reflectometry.org/isis_school/intro.html The files can found on GitHub at https://github.com/reflectivity/isis_school To run the course as interactive Jupyter notebooks here, click on the JupyterHub link and then Start My Server If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub. isis virtual reflectometry
Introduction to Crispy

Crispy is a modern interface for calculating core-level spectra. It uses Quanty for calculations and is written in python. Its primary use is as a sleek GUI that runs on your computer. However it can also be used like a python module within a Jupyter notebook. Here you can have a go at...

Keywords: crispy, core-level spectra

Resource type: Moodle course, e-learning

Introduction to Crispy https://pan-training.eu/materials/introduction-to-crispy Crispy is a modern interface for calculating core-level spectra. It uses Quanty for calculations and is written in python. Its primary use is as a sleek GUI that runs on your computer. However it can also be used like a python module within a Jupyter notebook. Here you can have a go at using Crispy without local installation: 1. Launch JupyterHub 2. Click Start my server 3. Select 0-first_calculation.ipynb Crispy Documentation: https://www.esrf.fr/computing/scientific/crispy/ GitHub Page: https://github.com/mretegan/crispy crispy, core-level spectra
McStas Simulation of SANS2D

No short description available.

Keywords: McStas, mcstas simulation tool, SANS2D

Resource type: Moodle course, e-learning

McStas Simulation of SANS2D https://pan-training.eu/materials/mcstas-simulation-of-sans2d No short description available. McStas, mcstas simulation tool, SANS2D
Introduction to Oasys (Hercules 2022)

Welcome to the Hercules 2022 Oasys tutorial written by Manuel Sanchez del Rio and Juan Reyes Herrera. The aim of this course is to learn the following: Calculate main characteristics of synchrotron source (Bending magnets and Insertion devices). Calculate the heat-load on different beamline...

Keywords: calculating source characteristics, calculating heat-load, simulation beamline optics, coherence

Resource type: Moodle course, e-learning

Introduction to Oasys (Hercules 2022) https://pan-training.eu/materials/introduction-to-oasys-hercules-2022 Welcome to the Hercules 2022 Oasys tutorial written by Manuel Sanchez del Rio and Juan Reyes Herrera. The aim of this course is to learn the following: Calculate main characteristics of synchrotron source (Bending magnets and Insertion devices). Calculate the heat-load on different beamline components. Simulating beamline optics by ray-tracing to obtain main parameters of the beam, e. g., size and divergence, energy resolution, intensity/flux. Understand basic principles of X-ray optics: Mirrors and Crystals. Basic concepts about coherence. And it is split into four sections:  1. Introduction 2. Power Transport 3. Photon Transport 4. Coherence Transport calculating source characteristics, calculating heat-load, simulation beamline optics, coherence
Muons in Semiconductors

We will learn with James Lord about semiconductors, muonium spectroscopy, molecular radical states at different temperatures, energy levels and spin polarization. Rui Vilao will introduce us to muons in Semiconductors. Rui Vilao continues the discussion on using µSR on semiconductors.

Resource type: Moodle course, e-learning

Muons in Semiconductors https://pan-training.eu/materials/muons-in-semiconductors We will learn with James Lord about semiconductors, muonium spectroscopy, molecular radical states at different temperatures, energy levels and spin polarization. Rui Vilao will introduce us to muons in Semiconductors. Rui Vilao continues the discussion on using µSR on semiconductors.
Python Workshop (IKON21)

If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub Access the course by clicking on the JupyterHub link. Click Start My Server > Start and your container will launch. In the folder called Notebooks you will find the following: 1. Jupyter...

Keywords: data analysis library pandas, jupyter, Python, numpy, matplotlib, Ipywidgets, scipy, mcstas script

Resource type: Moodle course, e-learning

Python Workshop (IKON21) https://pan-training.eu/materials/python-workshop-ikon21 If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub Access the course by clicking on the JupyterHub link. Click Start My Server > Start and your container will launch. In the folder called Notebooks you will find the following: 1. Jupyter basics: Jupyter notebook introduction. 2. Python basics:  Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes. 3. Using external Libraries:  Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing. 4. Molecular visualization:  Visualization tutorial,  Atomistic simulation environment. 5. McStas script 6. SCIPP You can find a copy of the notebooks at https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks This course was created by the Data Reduction, Analysis and Modelling group of the ESS. This version of the course was specifically created for IKON21 in September 2021. data analysis library pandas, jupyter, Python, numpy, matplotlib, Ipywidgets, scipy, mcstas script
Creating your own course

If you only wish to create one course please email admin@pan-learning.org and we will create a blank course for you. We will assign you as teacher so you can have full control from there on. If you would like to be able to create your own blank courses you need to have 'Course Creator'...

Keywords: moodle

Resource type: Moodle course, e-learning

Creating your own course https://pan-training.eu/materials/creating-your-own-course If you only wish to create one course please email admin@pan-learning.org and we will create a blank course for you. We will assign you as teacher so you can have full control from there on. If you would like to be able to create your own blank courses you need to have 'Course Creator' privelages on pan-learning.org. Please email admin@pan-learning.org and we will upgrade your account. moodle