{"data":[{"id":"257","type":"materials","attributes":{"title":"Training Workflow on Terahertz Spectroscopy at TELBE","url":"https://pan-training.eu/workflows/telbe","short-description":"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.\r\n\r\nIn 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:\r\n\r\n* The open accessible dataset\r\n* The software\r\n* Services to execute the analysis","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["terahertz","Higgs","dataset","data analysis","spectroscopy","FAIR","training","TELBE","photon","metadata","TELBE"],"licence":"CC-BY-NC-4.0","difficulty-level":"medium","bcontributors":[{"id":79,"firstname":"Oliver","lastname":"Knodel","orcid":"0000-0001-8174-7795","contribtype":"Other"}],"bauthors":[{"id":277,"firstname":"Thomas","lastname":"Gruber","orcid":"0000-0001-6940-2065"},{"id":278,"firstname":"Jan-Christoph ","lastname":"Deinert ","orcid":"0000-0001-6211-0158"}],"target-audience":["PaN Community","beamline users","graduate students"],"scientific-topics":[{"preferred-label":"spectroscopy","uri":"http://purl.org/pan-science/PaNET/PaNET01125"},{"preferred-label":"THz photon probe","uri":"http://purl.org/pan-science/PaNET/PaNET01006"}],"external-resources":[{"title":"Training workflow","url":"https://pan-training.eu/workflows/telbe","created-at":"2022-11-28T09:20:58.208Z","updated-at":"2022-11-28T09:20:58.208Z","api-url":null,"type":"other"}],"created-at":"2022-11-28T09:20:58.206Z","updated-at":"2022-12-06T13:15:09.677Z"},"relationships":{"user":{"data":{"id":"2","type":"users"}},"content-provider":{"data":{"id":"1","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/terahertz-spectroscopy-workflow"}},{"id":"256","type":"materials","attributes":{"title":"NOBUGS 2022","url":"https://www.youtube.com/channel/UC7SUAP5KT6c5g-BaJR718BQ/videos","short-description":"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.\r\n\r\nProgram Themes:\r\n\r\n- Data acquisition systems\r\n- Data reduction\r\n- User interfaces\r\n- Data catalogs/Electronic Notebooks\r\n- Data Streaming\r\n- Use of (commercial) Cloud Systems\r\n- Web Tools\r\n- Workflow Engines \u0026amp; Tools\r\n- Other Relevant Topics","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["NOBUGS","scientific software"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[{"title":"NOBUGS 2022 indico (slides)","url":"https://indico.psi.ch/event/12738/timetable/#20220919","created-at":"2022-10-10T11:09:43.413Z","updated-at":"2022-10-10T11:11:17.681Z","api-url":null,"type":"other"}],"created-at":"2022-10-10T11:09:43.411Z","updated-at":"2022-10-10T11:10:41.562Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":null},"nodes":{"data":[]}},"links":{"self":"/materials/nobugs-2022"}},{"id":"255","type":"materials","attributes":{"title":"Virtual Infrastructure for Scientific Analysis (VISA) Workshop","url":"https://expands.eu/presentations/#VISAWorkshop","short-description":"We invite you to view our workshop – hosted jointly by ExPaNDS and PaNOSC!\r\n\r\nVISA 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.\r\n\r\nVISA 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.\r\n\r\nThe 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.\r\n\r\nThe 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.  \r\n\r\nVideo recording (direct link to vimeo) will be available soon.","doi":"10.5281/zenodo.7108457","remote-updated-date":null,"remote-created-date":null,"keywords":["VISA","expands","PaNOSC","remote data analysis services"],"licence":"CC-BY-4.0","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":269,"firstname":"Jean Francois","lastname":"Perrin","orcid":""},{"id":270,"firstname":"Fabio","lastname":"Dall'Antonia","orcid":""},{"id":271,"firstname":"Silvan","lastname":"Schoen","orcid":""},{"id":272,"firstname":"Eric","lastname":"Moge","orcid":"0000-0002-7967-2007"},{"id":273,"firstname":"Tim","lastname":"Wetzel","orcid":""},{"id":274,"firstname":" Enric","lastname":"Querol Baladia","orcid":""},{"id":275,"firstname":"Andrea","lastname":"Manzi","orcid":"0000-0001-7949-2199"},{"id":276,"firstname":"Ludovic","lastname":"Leroux","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[{"title":"Slides","url":"https://zenodo.org/record/7108457#.Y0BQn3bMJaQ","created-at":"2023-01-13T10:56:35.868Z","updated-at":"2023-01-13T10:56:35.868Z","api-url":null,"type":"other"}],"created-at":"2022-10-10T10:53:28.069Z","updated-at":"2023-01-13T10:56:35.851Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"5","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/virtual-infrastructure-for-scientific-analysis-visa-workshop"}},{"id":"254","type":"materials","attributes":{"title":"Final recommendations for FAIR Photon and Neutron Data Management","url":"https://zenodo.org/record/6821676#.YwiWdnHP02w","short-description":"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.","doi":"https://doi.org/10.5281/zenodo.6821676","remote-updated-date":null,"remote-created-date":null,"keywords":["expands","wp2-ExPaNDS","FAIR","data 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Community"],"scientific-topics":[],"external-resources":[],"created-at":"2022-08-26T10:16:31.530Z","updated-at":"2022-08-26T10:16:31.530Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"5","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/final-recommendations-for-fair-photon-and-neutron-data-management"}},{"id":"253","type":"materials","attributes":{"title":"ILL's PhD talks","url":"https://www.youtube.com/playlist?list=PLA2s_idZ6bwFdB-HUrmKllBq7Uhsl3gpX","short-description":"This YouTube playlist displays the ILL PhD seminars, recorded in winter and spring 2021.\r\nWe thank all the speakers who have agreed to have their presentation shared in this collection, curated by Valerie Duchasténier and Steph Monfront.","doi":"","remote-updated-date":null,"remote-created-date":null,"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"],"licence":"notspecified","difficulty-level":"medium","bcontributors":[],"bauthors":[],"target-audience":["PhD students"],"scientific-topics":[{"preferred-label":"neutron scattering","uri":"http://purl.org/pan-science/PaNET/PaNET01242"},{"preferred-label":"small angle neutron scattering","uri":"http://purl.org/pan-science/PaNET/PaNET01189"},{"preferred-label":"time-of-flight spectrometry","uri":"http://purl.org/pan-science/PaNET/PaNET01244"},{"preferred-label":"magnetism technique","uri":"http://purl.org/pan-science/PaNET/PaNET00207"},{"preferred-label":"neutron time of flight technique","uri":"http://purl.org/pan-science/PaNET/PaNET01001"}],"external-resources":[],"created-at":"2022-07-14T07:30:04.512Z","updated-at":"2022-07-14T08:16:01.806Z"},"relationships":{"user":{"data":{"id":"2","type":"users"}},"content-provider":{"data":{"id":"20","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/ill-s-phd-talks"}},{"id":"252","type":"materials","attributes":{"title":"PaNOSC WP8 Summerschool 2022","url":"https://pan-learning.org/moodle/course/view.php?id=108","short-description":"No short description available.","doi":null,"remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-07-11T10:30:57.885Z","updated-at":"2022-07-21T10:31:00.493Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/panosc-wp8-summerschool-2022"}},{"id":"250","type":"materials","attributes":{"title":"Muons in Chemistry","url":"https://pan-learning.org/moodle/course/view.php?id=107","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-06-20T10:31:02.461Z","updated-at":"2025-07-01T10:31:20.440Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/muons-in-chemistry"}},{"id":"249","type":"materials","attributes":{"title":"Offline data analysis tutorial","url":"https://indico.desy.de/event/33127/contributions/117081/","short-description":"Tutorial on European XFEL offline data analysis as per example of MID instrument data","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["Extra-data","Extra-geom","pyFAI","data 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on Machine Learning, originally presented at the 2022 European XFEL user meeting.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"knowledge-dependent","bcontributors":[],"bauthors":[{"id":257,"firstname":"Danilo Enoque","lastname":"Ferreira de Lima","orcid":"0000-0002-6606-3595"}],"target-audience":["research data scientist","PhD students","masters students"],"scientific-topics":[],"external-resources":[],"created-at":"2022-06-18T18:11:43.895Z","updated-at":"2022-06-18T18:11:43.895Z"},"relationships":{"user":{"data":{"id":"37","type":"users"}},"content-provider":{"data":{"id":"19","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/jupyter-notebooks-on-machine-learning-for-scientific-data-analysis"}},{"id":"246","type":"materials","attributes":{"title":"DTU course  / X-ray and Neutron Experiments at International Research Facilities","url":"https://pan-learning.org/moodle/course/view.php?id=106","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-06-18T10:31:00.790Z","updated-at":"2022-12-22T11:31:23.676Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/the-structure-and-dynamics-of-materials-studied-with-x-rays-and-neutrons"}},{"id":"242","type":"materials","attributes":{"title":"European Photon and Neutron Open Data Search Portal","url":"https://data.panosc.eu/","short-description":"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:\r\n\r\n- European Spallation Source\r\n- Institut Laue Langevin\r\n- MAX IV\r\n\r\nAdditional 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.\r\n\r\nThe 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.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["FAIR","federated search engine","open data","EOSC"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-25T08:14:49.388Z","updated-at":"2022-05-25T08:15:30.296Z"},"relationships":{"user":{"data":{"id":"10","type":"users"}},"content-provider":{"data":{"id":"21","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/european-photon-and-neutron-open-data-search-portal"}},{"id":"241","type":"materials","attributes":{"title":"DMSC - Instrument Scientists workshop (2022)","url":"https://pan-learning.org/moodle/course/view.php?id=105","short-description":"**If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub**\n\nAccess the course by clicking on the  **JupyterHub**  link (bellow).  \nClick  **Start My Server ** \\\u0026gt;  **Start ** and your container will launch.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:56.504Z","updated-at":"2025-07-01T10:31:19.945Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/dmsc-instrument-scientists-workshop-2022"}},{"id":"240","type":"materials","attributes":{"title":"McStas and McXtrace intro","url":"https://pan-learning.org/moodle/course/view.php?id=104","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:56.286Z","updated-at":"2025-07-01T10:31:19.311Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-mcstas"}},{"id":"239","type":"materials","attributes":{"title":"Photosynthesis and Energy 2025","url":"https://pan-learning.org/moodle/course/view.php?id=103","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:56.055Z","updated-at":"2025-07-01T10:31:18.797Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/photosynthesis-and-energy-2022"}},{"id":"238","type":"materials","attributes":{"title":"Simulating LoKi with McStas","url":"https://pan-learning.org/moodle/course/view.php?id=102","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:55.720Z","updated-at":"2025-07-01T10:31:18.326Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/simulating-loki-with-mcstas"}},{"id":"237","type":"materials","attributes":{"title":"SimEx (Simulating Experiments): Examples","url":"https://pan-learning.org/moodle/course/view.php?id=101","short-description":"SimEx is a program for simulating experiments at advanced laser and x-ray light sources. All aspects of a typical experiment can be modeled.   \nThis includes the photon source, light transport through optics, interaction with a target or sample, scattering from the latter, photon detection, and data analysis.   \nA simulation can contain, one, several, or all of these parts.\n\nDocumentation: [https://simex.readthedocs.io/en/latest/include/introduction.html](https://simex.readthedocs.io/en/latest/include/introduction.html)  \nGithub: [https://github.com/PaNOSC-ViNYL/SimEx  \n  \n](https://github.com/PaNOSC-ViNYL/SimEx)\n\nHere you can have a go at using SimEx without local installation:   \n1. Launch **[JupyterHub](https://pan-learning.org/moodle/mod/lti/view.php?id=2152 \"JupyterHub\")**  \n2. Click **Start my server**  \n3. Select a notebook.   \n  \nHere is a list of notebooks available:\n\n**crl\\_focus** - currently not working!   \n**edge**   \n**EuXFEL\\_SASE1\\_SPB\\_KBfocus** - currently not working!   \n**propagation\\_example\\_01**  \n**propagation\\_example\\_02** - currently not working!   \n**spheres** - currently not working!   \n**wire**","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["io/en/latest/include/introduction"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:55.498Z","updated-at":"2025-07-01T10:31:17.726Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/simex-simulating-experiments-examples"}},{"id":"236","type":"materials","attributes":{"title":"Simulation of boron carbide diffraction with D2B","url":"https://pan-learning.org/moodle/course/view.php?id=100","short-description":"**Running wget inside notebook in JupyterHub.**   \nIt doesn't matter which working directory you start in (jovyan or jovyan/gitrepo\\_simulation2b/wl\\_scan\\_on\\_CB\\_with\\_D2B),  \nwget fails to connect with github when command is run from the notebook:\n\n```\nConnecting to github.com (github.com)|140.82.121.3|:443... failed: No route to host.\n```\n\n![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5302/course/section/670/image%20%281%29.png)  \n  \nIf however you open a terminal window and run the same command, there is no issue.   \nYou can then run the remaining commands including 'make' from within the notebook with no problems.\n\n![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5302/course/section/670/image.png)  \n  \nIf I run the same notebook in the same docker container on my computer however there are no issues.\n\n![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5302/course/section/670/image%20%282%29.png)","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["running wget inside notebook"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:55.211Z","updated-at":"2025-07-01T10:31:17.149Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/simulation-of-boron-carbide-diffraction-with-d2b"}},{"id":"235","type":"materials","attributes":{"title":"Introduction to Oasys (Hercules 2022)","url":"https://pan-learning.org/moodle/course/view.php?id=99","short-description":"![oasys_logo](https://e-learning.pan-training.eu/webservice/pluginfile.php/5289/course/section/661/oasys_logo.png)  \n\nWelcome to the Hercules 2022 Oasys tutorial written by Manuel Sanchez del Rio and Juan Reyes Herrera.\n\n  \n\nThe aim of this course is to learn the following:\n\n- Calculate main characteristics of synchrotron source (Bending magnets and Insertion devices).\n- \nCalculate the heat-load on different beamline components.\n- \nSimulating beamline optics by ray-tracing to obtain main parameters of the beam, e. g., size and divergence, energy resolution, intensity/flux.\n- \nUnderstand basic principles of X-ray optics: Mirrors and Crystals.\n- \nBasic concepts about coherence.\n\nAnd it is split into four sections:   \n1. Introduction  \n2. Power Transport  \n3. Photon Transport  \n4. Coherence Transport\n\n  \n\nBefore going to the content, it is important to explain that you can use OASYS in two ways:\n\n  \n\n1. Install Oasys on your own laptop. Follow the instructions in the following links:   \n [Mac OS](https://github.com/oasys-kit/oasys-installation-scripts/wiki/Install-Oasys-in-MacOS) **      ** [Windows OS](https://github.com/oasys-kit/oasys-installation-scripts/wiki/Install-Oasys-in-Windows-10) **      ** [Linux OS](https://github.com/oasys-kit/oasys-installation-scripts/wiki/Install-Oasys-in-Linux) **      ** [Docker  \n\n  \n\n](https://github.com/oasys-kit/oasys-installation-scripts/wiki/Use-Docker-Oasys-container)\nThis course needs the installation of the ESRF add-on in OASYS. Open OASYS and follow the \"install as user\" instructions[](https://github.com/oasys-kit/oasys-installation-scripts/wiki/Use-Docker-Oasys-container)[here](https://github.com/oasys-esrf-kit/OASYS1-ESRF-Extensions/blob/master/README.md).\n  \n2. Login and get an account in: [https://vuo.elettra.eu](https://vuo.elettra.eu)  \nOnce logged in (please use Chrome), you have to go to **Virtual Laboratory** and click on **My applications** , then click on [Start] of _ **SCITOOLBOX** _ application, and then click [next] and wait a few minutes (only the first time).  \nWhen your session is open, open OASYS as shown below:  \n ![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5289/course/section/661/image.png)  \n\n**It is very important** to let us know if you want to use this second option in order to give you the necessary permissions to use the app.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["hercules 2022 oasys tutorial written","manuel sanchez del rio","  mac os      windows os      linux os      dockerthis"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":253,"firstname":"Manuel","lastname":"Sanchez del Rio","orcid":""},{"id":254,"firstname":"Juan","lastname":"Reyes Herrera","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:54.918Z","updated-at":"2025-07-01T10:31:16.547Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-oasys-hercules-2022"}},{"id":"234","type":"materials","attributes":{"title":"McStas Simulation of SANS2D","url":"https://pan-learning.org/moodle/course/view.php?id=98","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:54.696Z","updated-at":"2025-07-01T10:31:15.916Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/mcstas-simulation-of-sans2d"}},{"id":"233","type":"materials","attributes":{"title":"Introduction to Crispy","url":"https://pan-learning.org/moodle/course/view.php?id=97","short-description":"Crispy is a modern interface for calculating core-level spectra.   \nIt uses [Quanty](http://quanty.org/) for calculations and is written in python.   \nIts primary use is as a sleek GUI that runs on your computer.   \nHowever it can also be used like a python module within a Jupyter notebook.\n\nHere you can have a go at using Crispy without local installation:   \n1. Launch **JupyterHub**  \n2. Click **Start my server**  \n3. Select **0-first\\_calculation.ipynb**\n\nCrispy Documentation: [https://www.esrf.fr/computing/scientific/crispy/](https://www.esrf.fr/computing/scientific/crispy/)  \nGitHub Page: [https://github.com/mretegan/crispy](https://github.com/mretegan/crispy)","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["fr/computing/scientific/crispy/github page"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:54.466Z","updated-at":"2025-07-01T10:31:15.255Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-crispy"}},{"id":"232","type":"materials","attributes":{"title":"Introduction to Neutron Reflectometry Fitting","url":"https://pan-learning.org/moodle/course/view.php?id=96","short-description":"This course was originally developed by **[Andrew McCluskey](mailto:andrew.mccluskey@ess.eu)** from the **[European Spallation Source](https://europeanspallationsource.se/)** for the ISIS Virtual Reflectometry Training Course.  \nThe full course can be read as a online book at: [**https://www.reflectometry.org/isis\\_school/intro.html**](https://www.reflectometry.org/isis_school/intro.html)  \nThe files can found on GitHub at [**https://github.com/reflectivity/isis\\_school**](https://github.com/reflectivity/isis_school)\n\nTo run the course as interactive Jupyter notebooks here, click on the  **JupyterHub ** link and then **Start My Server  \nIf you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub.**","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["isis virtual reflectometry training"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":247,"firstname":"Andrew","lastname":"McCluskey","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:54.197Z","updated-at":"2025-07-01T10:31:14.750Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-neutron-reflectometry-fitting"}},{"id":"231","type":"materials","attributes":{"title":"Introduction to Neutron Reflectometry","url":"https://pan-learning.org/moodle/course/view.php?id=95","short-description":"An introductory course to Neutrons and their properties, as a foundational pre-requisite for Neutron Scattering and Reflectometry experimentation and theory. ","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.931Z","updated-at":"2025-07-01T10:31:14.193Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-neutron-reflectometry"}},{"id":"230","type":"materials","attributes":{"title":"Creating your own course","url":"https://pan-learning.org/moodle/course/view.php?id=90","short-description":"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.\n\nIf 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.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.701Z","updated-at":"2025-07-01T10:31:13.596Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/creating-your-own-course"}},{"id":"229","type":"materials","attributes":{"title":"Python Workshop (IKON21)","url":"https://pan-learning.org/moodle/course/view.php?id=89","short-description":"**If you have self enrolled onto the course please wait 5 minutes before launching the JupyterHub**\n\nAccess the course by clicking on the **JupyterHub** link.  \n Click **Start My Server** \\\u0026gt; **Start** and your container will launch.  \n In the folder called **Notebooks** you will find the following:\n\n  1. **Jupyter basics: ** Jupyter notebook introduction.\n\n  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.\n\n  3. **Using external Libraries:  ** Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing.\n\n  4. **Molecular visualization:  ** Visualization tutorial,  Atomistic simulation environment.\n\n  5. **McStas script**\n\n  6. **SCIPP**\n\nYou can find a copy of the notebooks at [https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks](https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks)\n\n_This course was created by the Data Reduction, Analysis and Modelling group of the ESS.  \nThis version of the course was specifically created for IKON21 in September 2021._","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["  data analysis library pandas","-ikon/tree/master/notebooks"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.451Z","updated-at":"2025-07-01T10:31:12.444Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/python-workshop-ikon21"}},{"id":"228","type":"materials","attributes":{"title":"Muons in Semiconductors","url":"https://pan-learning.org/moodle/course/view.php?id=87","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":251,"firstname":"James","lastname":"Lord","orcid":""},{"id":252,"firstname":"Rui","lastname":"Vilao","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.193Z","updated-at":"2025-07-01T10:31:11.804Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/muons-in-semiconductors"}},{"id":"227","type":"materials","attributes":{"title":"Muons in Magnetism","url":"https://pan-learning.org/moodle/course/view.php?id=86","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":246,"firstname":"Tom","lastname":"Lancaster","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:52.924Z","updated-at":"2025-07-01T10:31:11.274Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/muons-in-magnetism"}},{"id":"226","type":"materials","attributes":{"title":"Collection of photon science slides","url":"https://pan-learning.org/moodle/course/view.php?id=82","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:52.583Z","updated-at":"2025-07-01T10:31:10.747Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/collection-of-photon-science-slides"}},{"id":"225","type":"materials","attributes":{"title":"Illumidesk: Python Course","url":"https://pan-learning.org/moodle/course/view.php?id=81","short-description":"This course has the notebooks from the first four chapters of the IKON python course:\r\n\r\n1. Jupyter basics: Jupyter notebook introduction.\r\n2. Python basics:  Basic language principles,  Sequence data types,  Control structures,  Working with functions,  Using modules,  Input and output,  Python 2 vs 3,  Python classes.\r\n3. Using external Libraries:  Scientific libraries numpy,  Plotting with matplotlib,  Ipywidgets,  Fitting scipy,  Data analysis library pandas,  Testing.\r\n4. Molecular visualization:  Visualization tutorial,  Atomistic simulation environment.\r\n\r\nTo access click on Illumidesk →Start My Server → Assignments →pythoncourse (drop down menu) → fetch\r\nAny notebooks you fetch will be visible on your illumidesk files tab.\r\nDo not submit the notebooks for feedback.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["  sequence data types","  data analysis library pandas"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:52.346Z","updated-at":"2024-09-18T10:31:53.221Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/illumidesk-python-course"}},{"id":"224","type":"materials","attributes":{"title":"Muons in Superconductivity","url":"https://pan-learning.org/moodle/course/view.php?id=79","short-description":"Course image taken by Andrew Brookes.   \nCourse created by **Amanda Martinez Rodriguez**\n\nWe will learn with Pabitra Biswas what a [superconductor](https://en.wikipedia.org/wiki/Superconductivity) is, how we measure [magnetic fields](https://en.wikipedia.org/wiki/London_penetration_depth), extract key length scales ([vortex lattice](http://hyperphysics.phy-astr.gsu.edu/hbase/Solids/lattice.html)), see how the measurement works, what kind of data you get, and gain an overview of how to understand the new physics.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["extract key length scales"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":245,"firstname":"Amanda","lastname":"Martinez Rodriguez","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:52.120Z","updated-at":"2025-07-01T10:31:10.067Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/muons-in-superconductivity"}}]}