{"data":[{"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 from the European Spallation Source for the ISIS Virtual Reflectometry Training Course.\r\nThe full course can be read as a online book at: https://www.reflectometry.org/isis_school/intro.html\r\nThe files can found on GitHub at https://github.com/reflectivity/isis_school\r\n\r\nTo run the course as interactive Jupyter notebooks here, click on the JupyterHub link and then Start My Server\r\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"],"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":"2024-12-21T11:31:07.897Z"},"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":["neutron"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.931Z","updated-at":"2024-12-21T11:31:07.231Z"},"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":["moodle"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.701Z","updated-at":"2024-12-21T11:31:06.505Z"},"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\r\n\r\nAccess the course by clicking on the JupyterHub link. \r\nClick Start My Server \u0026gt; Start and your container will launch.\r\nIn the folder called Notebooks you will find the following:\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\n5. McStas script        \r\n6. SCIPP\r\n           \r\nYou can find a copy of the notebooks at https://github.com/ess-dmsc-dram/python-course-ikon/tree/master/notebooks\r\nThis course was created by the Data Reduction, Analysis and Modelling group of the ESS.\r\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","jupyter","Python","numpy","matplotlib","Ipywidgets","scipy","mcstas script"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:53.451Z","updated-at":"2024-12-21T11:31:05.777Z"},"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":"We will learn with James Lord about semiconductors, muonium spectroscopy, molecular radical states at different temperatures, energy levels and spin polarization.\r\n\r\nRui Vilao will introduce us to muons in Semiconductors.\r\n\r\nRui Vilao continues the discussion on using µSR on semiconductors.","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":"2024-12-21T11:31:05.085Z"},"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":["muons","magnetism"],"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":"2024-12-21T11:31:04.405Z"},"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":"2024-12-21T11:31:03.645Z"},"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":"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.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["extract key length scales","muons","superconductivity"],"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":"2024-12-21T11:31:02.937Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/muons-in-superconductivity"}},{"id":"223","type":"materials","attributes":{"title":"SasView: Analysis of SAS Data","url":"https://pan-learning.org/moodle/course/view.php?id=78","short-description":"This course will demonstrate how to approach small-angle scattering (SAS) data analysis.\r\n\r\nIn Section 1 you will familiarise yourself with: \r\n- The format of reduced data \r\n- How to use standard plots to extract information from experimental data \r\n- How to calculate scattering length densities (SLD).\r\n\r\nIn Section 2 you will familiarise yourself with the basic use of SasView.\r\n\r\nIn Section 3, you will  analyse SAS test data with SasView software and see the effects of: \r\n- Polydispersity \r\n- Resolution \r\n- Interparticle interaction. \r\n\r\nSection 4 and 5 are optional and will lead you through simultaneous fitting and P(r) analysis.\r\n\r\nSoftware for this session: SasView 5.0.4.\r\nGeneral introduction to SasView from Linxs webinar: Video - Small Angle Scattering Data Analysis with SasView.\r\n\r\nAgenda: \r\n\r\n9:00 – 9:10 Introduction to Lab Session\r\n9:10 – 9:20 Introduction to Section 1\r\n9:20 – 11:30 Work on Sections 1, 2 and 3  - break-out rooms\r\n11:30 – 13:30 Lunch break/catch up\r\n13:30 – 15:30: Sections 4 and 5/Own data/AtSAS/Other problems - break-out rooms if needed\r\n15:30 – Wrap-up","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["small-angle scattering","reduced data","scattering length densities","SasView","polydispersity","SAS","data analysis","SLD","interparticle interaction"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":242,"firstname":"Adrian","lastname":"Sanchez-Fernandez","orcid":""},{"id":243,"firstname":"Judith","lastname":"Houston","orcid":""},{"id":244,"firstname":"Wojciech","lastname":"Potrzebowski","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:51.857Z","updated-at":"2024-12-21T11:31:02.248Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/sasview-analysis-of-sas-data"}},{"id":"222","type":"materials","attributes":{"title":"Introduction to SANS","url":"https://pan-learning.org/moodle/course/view.php?id=76","short-description":"This course is split into two sections:\r\n\r\nTheoretical background to SANS\r\nCase study of nanodisks using the LOKI instrument\r\n\r\n\r\nUseful links:\r\n[SasView course](https://pan-learning.org/moodle/course/view.php?id=19)\r\n[Wiki page on SANS](https://pan-learning.org/wiki/index.php/Small_angle_neutron_scattering,_SANS)\r\n[Wiki problems (exercises with solutions) on SANS](https://pan-learning.org/wiki/index.php/Page_of_all_exercises#Exercises_in_Small_angle_neutron_scattering)\r\n[Wiki simulation project (based on SANS-2 at PSI)](https://pan-learning.org/wiki/index.php/Simulation_project_SANS-2:_A_small_angle_neutron_scattering_instrument)\r\n[McStas Simulation Tool](https://sim.e-neutrons.esss.dk/instrument-menu/intro-ns)","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["SANS","nanodisks","LoKi"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:51.637Z","updated-at":"2024-12-21T11:31:01.523Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-sans"}},{"id":"221","type":"materials","attributes":{"title":"Highness JupyterHub","url":"https://pan-learning.org/moodle/course/view.php?id=75","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":"2022-05-03T15:03:51.419Z","updated-at":"2024-09-18T10:31:50.609Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/highness-jupyterhub"}},{"id":"220","type":"materials","attributes":{"title":"Introduction to small angle scattering","url":"https://pan-learning.org/moodle/course/view.php?id=71","short-description":"Introduction to small angle scattering.\r\nList of resources.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["small angle scattering ","SAS"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:51.133Z","updated-at":"2024-12-21T11:31:00.838Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-small-angle-scattering"}},{"id":"219","type":"materials","attributes":{"title":"Including Jupyter Notebooks in your Course","url":"https://pan-learning.org/moodle/course/view.php?id=70","short-description":"As a teacher, you can link a JupyterHub instance to your course that runs on our e-learning servers.The JupyterHub instance runs as a docker container that is launched when a student clicks on the link. The container will clone your chosen github repository where you can edit and store Jupyter notebooks.Students will be able to open these Jupyter notebooks and execute them remotely.\r\n\r\nCrucially students do not require Jupyter to be installed on their computers or have prior knowledge of python. Examples where this might be useful:\r\n- Show students how to reduce and analyse experimental data themselves using python. \r\n- Introduce students to python modules or software used in data reduction and analysis.\r\n- Allow students to virtually explore large scale facility instruments. For example by using McStas (neutron instrument simulator).\r\n- Teach students data modelling and simulation techniques that use python. \r\n\r\nRequirements:\r\nWhat the student will interact with must be in the form of a Jupyter notebook. \r\nYour notebooks must be on a public github repository.\r\n\r\nNote that the entire repository you provide will be cloned not just selected notebooks. However it does not have to be the master branch. \r\n\r\nOur containers already include common scientific python modules such as numpy, matplotlib and ipython. In addition we have containers with the following software installed:\r\n1. McStas, McXtrace, SCIPP, SasVIew\r\n2. Crispy\r\n3. SimEx\r\n\r\nIf you require a container with other software to be installed it is possible to have a custom container created. Please email admin@pan-learning.org for help. \r\n\r\nUseful Links:\r\n- [Jupyter notebooks](https://jupyter.org/)\r\n- [What is a docker container](https://www.docker.com/resources/what-container)? (and the [wiki page](https://en.wikipedia.org/wiki/Docker_(software)))\r\n- [Docker and Jupyterhub](https://hub.docker.com/r/jupyterhub/jupyterhub/#help-and-resources)\r\n\r\nIf you wish to include a link to a Jupyterhub container for your course. \r\nPlease fill the form: Information to set up your container\r\n\r\nOnce you have filled in the form you will receive an email to let you know the JupyterHub link is being set up and any further instructions that are required. \r\nPlease note it may take a few days to be up and running.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["jupyter notebooks","docker container","moodle","e-teaching"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:50.909Z","updated-at":"2024-12-21T11:31:00.099Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/including-jupyter-notebooks-in-your-course"}},{"id":"218","type":"materials","attributes":{"title":"Creating a Video Mini-Lecture","url":"https://pan-learning.org/moodle/course/view.php?id=69","short-description":"We recommend Open Broadcasting Software (OBS) as a great way to record yourself giving a presentation or lecture. It has more flexibility and results in a higher quality video than simply recording your screen on zoom/skype. It is easy to install and much easier to use than any video editing software. \r\n\r\nUse the following four resources to help you: \r\n\r\n1. [Introduction to OBS](https://e-learning.pan-training.eu/moodle/mod/resource/view.php?id=1754) and how it can be used. \r\n2. Tips for good [video layout](https://e-learning.pan-training.eu/moodle/mod/resource/view.php?id=1753) (this is useful regardless of whether you chose to use OBS). \r\n3. Links to [OBS download instructions](https://e-learning.pan-training.eu/moodle/mod/page/view.php?id=1738) for Mac, Windows and Linux.\r\n4. How you could include [live annotations](https://e-learning.pan-training.eu/moodle/mod/page/view.php?id=1739) or a blackboard style presentation with OBS","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["open broadcasting software","video editing software"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:50.677Z","updated-at":"2024-12-21T11:30:59.287Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/creating-a-video-mini-lecture"}},{"id":"217","type":"materials","attributes":{"title":"Erik Knudsen's Course","url":"https://pan-learning.org/moodle/course/view.php?id=56","short-description":"Course on X-ray scattering at the DanMAX beamline of MAX IV.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["DanMAX","MAX IV"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":239,"firstname":"Erik","lastname":"Knudsen","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:50.335Z","updated-at":"2024-12-21T11:30:58.514Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/erik-knudsen-s-course"}},{"id":"216","type":"materials","attributes":{"title":"SasView for new contributors","url":"https://pan-learning.org/moodle/course/view.php?id=52","short-description":"Welcome to the course for new contributors to SasView!   \nBefore we divide into the details about setting up developers' environment and code architecture, there are sections providing more information about the general setup of the project","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["SasView"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:50.112Z","updated-at":"2024-12-21T11:30:57.807Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/sasview-for-developers-and-new-contributors"}},{"id":"215","type":"materials","attributes":{"title":"Introduction to X-ray Spectroscopy Calculations","url":"https://pan-learning.org/moodle/course/view.php?id=51","short-description":"In this module, you will learn about calculations of X-ray spectra using various flavours of multiplet theory.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["multiplet theory"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:49.902Z","updated-at":"2024-12-21T11:30:57.100Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-x-ray-spectroscopy-calculations"}},{"id":"214","type":"materials","attributes":{"title":"Introduction to X-ray fluorescence (XRF)","url":"https://pan-learning.org/moodle/course/view.php?id=47","short-description":"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).\r\nCourse duration is approximately 45 min.\r\nThe 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:\r\n\r\nBasic theoretical background is presented\r\nKey components to liquid NMR sample preparation (isotopic labeling, solvent exchange, size)\r\nInteractive work on 1D spectra of various compounds (e. g.CH3COOH , C2H4O2)\r\nDetermining the empirical chemical formula from measured spectra\r\n\r\nKey resources:\r\n\r\nhttps://www.nmrdb.org/new_predictor/index.shtml?v=v2.121.0","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["small molecule liquid nmr analysis","liquid nmr sample preparation","NMR analysis"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":240,"firstname":"Primož","lastname":"Šket","orcid":""},{"id":241,"firstname":"Aljoša","lastname":"Hafner","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:49.609Z","updated-at":"2024-12-21T11:30:56.414Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-nmr-analysis"}},{"id":"213","type":"materials","attributes":{"title":"Python Workshop (IKON20)","url":"https://pan-learning.org/moodle/course/view.php?id=36","short-description":"THIS IS THE PREVIOUS IKON PYTHON COURSE FROM MARCH 2021 - The new one can be found [here](https://pan-learning.org/moodle/course/view.php?id=89)\r\nAS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON\r\n\r\nThis course has something for all levels of python and is split into 7 sections. \r\nThe first four contain a set of jupyter notebooks that are designed to be worked through individually. You are encouraged to pick and choose which sections you are interested in.\r\nThe other three contain notebooks to help you learn how to use python based McStas script and SCIPP along with an extra module with an example of Covid data anlysis. \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\n5. McStas script\r\n6. Extras\r\n7. SCIPP\r\n\r\n\r\nThe notebooks can accessed and run via the Jupyter hub link. A new window will open, which will ask you to Start My Server.\r\nYou can then chose which environment you would like to use (Basic Jupyter with McStas or Jupyter with SCIPP). Note that both include all the notebooks.\r\nTo access the notebooks please navigate to python-course-ikon \u0026gt; notebooks.\r\n\r\nThis course was created by the Data Reduction, Analysis and Modelling Group of the ESS. This version of the course was specifically created for IKON20 in March 2021.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["data analysis library pandas","jupyter","Python","numpy","matplotlib","Ipywidgets","scipy","mcstas script"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:49.303Z","updated-at":"2024-12-21T11:30:55.659Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/python-workshop-ikon20"}},{"id":"212","type":"materials","attributes":{"title":"Quasi-Elastic Neutron Scattering","url":"https://pan-learning.org/moodle/course/view.php?id=35","short-description":"This module is divided into 10 sections. First nine will teach you about QENS instruments and theory. A case study is presented in the last section.\r\nEstimated Completion Time: 1 Hour","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":248,"firstname":"Sanghamitra","lastname":"Mukhopadhyay","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:49.087Z","updated-at":"2024-12-21T11:30:54.866Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/quasi-elastic-neutron-scattering"}},{"id":"211","type":"materials","attributes":{"title":"Quasielastic Neutron Scattering Course (1st iteration)","url":"https://pan-learning.org/moodle/course/view.php?id=32","short-description":"No short description available.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["QENS","neutron"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:48.788Z","updated-at":"2024-09-18T10:31:43.790Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/quasielastic-neutron-scattering-course-1st-iteration"}},{"id":"209","type":"materials","attributes":{"title":"MDANSE 2021","url":"https://pan-learning.org/moodle/course/view.php?id=30","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":"2022-05-03T15:03:48.361Z","updated-at":"2024-12-21T11:30:54.140Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/mdanse-2021"}},{"id":"208","type":"materials","attributes":{"title":"Materials science in the virtual neutron facility","url":"https://pan-learning.org/moodle/course/view.php?id=24","short-description":"This short course allows you to investigate the properties of a rehargeable battery by neutron experiments at a virtual neutron faclity. Specifically you will investigate the various component of the battery by imaging, diffraction and quasi-elastic neutron scattering through  a learning game.The game was developed as a collaboration between Labster and  the group of Linda Udby at Niels Bohr Institite, University of Copenhagen. The development of the game was made possible by a grant in the Education 2016 project of University of Copenhagen.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["virtual neutron facility","material science","rechargeable battery","imaging","diffraction","quasi-elastic neutron scattering","neutron experiments"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:48.083Z","updated-at":"2024-12-21T11:30:53.394Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/materials-science-in-the-virtual-neutron-facility"}},{"id":"207","type":"materials","attributes":{"title":"Neutrons, X-rays and Positrons for studying microscopic structures and dynamics","url":"https://pan-learning.org/moodle/course/view.php?id=127","short-description":"In this course you will learn about the basic techniques used to perform experiments in neutron scattering. Neutron scattering requires large scale facilities, and beam time is expensive. The overall aim of this introductory course is to put you in a better position to work with and make decisions pertaining to experiments at large scale facilities.\r\n\r\nThe contents of this course is targeted for master level physics students and can be used as a fully online self-study course.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["neutron scattering"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:47.842Z","updated-at":"2024-12-21T11:31:16.416Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/neutrons-x-rays-and-positrons-for-studying-microscopic-structures-and-dynamics"}},{"id":"206","type":"materials","attributes":{"title":"Quiz Taster","url":"https://pan-learning.org/moodle/course/view.php?id=22","short-description":"This quiz has 5 questions on the basics of neutron science.","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":"2022-05-03T15:03:47.635Z","updated-at":"2024-12-21T11:30:52.661Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/quiz-taster"}},{"id":"205","type":"materials","attributes":{"title":"Introduction to Muon Spin Spectroscopy","url":"https://pan-learning.org/moodle/course/view.php?id=21","short-description":"Welcome to the course on muon spin spectroscopy. This course is made up of ten modules: ‘Cosmic Ray Muons’, ‘Different Types of μSR’, ‘Analysis Methods of μSR’, 'Studying Diffusion with Muon Spin Relaxation', ‘Muon Data Analysis using Mantid Workbench’, ‘Muon Data Analysis Using MantidPlot’, ‘Muesr’, ‘Using Maximum Entropy Analysis in Mantid’, ‘Analysing ALC Data in Mantid’ and ‘Muon Data Analysis Using WiMDA’.\r\nWithin the Cosmic Ray Muons module you will learn the fundamentals of muons and their applications within a simple experiment. The Different Types of μSR module covers the principles and applications of the six variations of μSR, and Analysis Methods of μSR goes through the various ways the data from these experiments can be analysed. Within the Muon Data Analysis modules, you will learn basic data analysis of real experimental data using either the MantidPlot or WiMDA software.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["muon spin spectroscopy","cosmic ray muons","muon spin relaxation","muon data analysis","data analysis"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":238,"firstname":"Peter","lastname":"Baker","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:47.367Z","updated-at":"2024-12-21T11:30:51.989Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/introduction-to-muon-spin-spectroscopy"}},{"id":"204","type":"materials","attributes":{"title":"Neutron Scattering - KU 2020","url":"https://pan-learning.org/moodle/course/view.php?id=20","short-description":"In this course you will learn about the basic techniques used to perfrom experiments in neutron scattering. Neutron scattering requires large scale facilities, and beam time is expensive. The overall aim of this introductory course is to put you in a better position to work with and make decisions pertaining to experiments at large scale facilities.\r\n\r\nThe contents of this course is targeted for master level physics students and can be used as a fully online self-study course.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["neutron scattering"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:47.161Z","updated-at":"2022-12-22T11:31:04.991Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/neutron-scattering-ku-2020"}},{"id":"203","type":"materials","attributes":{"title":"Small Angle Scattering Data Analysis using SasView","url":"https://pan-learning.org/moodle/course/view.php?id=19","short-description":"Small Angle Scattering Data Analysis using SasView","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":[],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[{"id":249,"firstname":"Paul","lastname":"Butler","orcid":""},{"id":250,"firstname":"Wojciech","lastname":"Potrzebowski","orcid":""}],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:46.937Z","updated-at":"2024-12-21T11:30:51.319Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/small-angle-scattering-data-analysis-using-sasview"}},{"id":"202","type":"materials","attributes":{"title":"e-neutrons for teachers","url":"https://pan-learning.org/moodle/course/view.php?id=18","short-description":"This set of manuals is intended to help developers/teachers on the e-neutrons portal make and improve online material that can be used for learning about neutron scattering. \r\n\r\nIn sum, they represent both some of the experiences we have had with making online learning material for the e-neutrons portal and the choices we have made regarding how to make an e-learning portal. Many of these choices differ from choices made when conducting massive open online courses (MOOCs).\r\n \r\n Our design choices are based on educational research, and we pay a lot of attention to what the goals for the portal and for each learning activity are. In particular, we have used research literature on digital learning, on assessment for learning, and on intended learning outcomes. We seek to align our online activities and the way we assess them with intended learning outcomes. Since the goal for the portal is not to provide users with a formal set of papers on how well they have performed, we have chosen not to provide students with traditional summative assessment such as grading or other performance evaluators. Rather, we have chosen to focus on providing high quality feedback to facilitate that students engage as much as possible with the learning material. \r\n\r\nThe e-neutrons portal itself is an object of ongoing e-learning. Thus, we actively use student interactions with the portal to investigate more broadly how this type of e-learning works.","doi":"","remote-updated-date":null,"remote-created-date":null,"keywords":["improve online material","making online learning material","digital learning","intended learning outcomes","assessment for learning"],"licence":"notspecified","difficulty-level":"notspecified","bcontributors":[],"bauthors":[],"target-audience":[],"scientific-topics":[],"external-resources":[],"created-at":"2022-05-03T15:03:46.685Z","updated-at":"2024-12-21T11:30:50.594Z"},"relationships":{"user":{"data":{"id":"21","type":"users"}},"content-provider":{"data":{"id":"27","type":"content-providers"}},"nodes":{"data":[]}},"links":{"self":"/materials/e-neutrons-for-teachers"}}]}