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49 materials found

Resource type: e-learning 

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.
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.
Photosynthesis and Energy 2022

No short description available.

Keywords: photosynthesis , energy

Resource type: Moodle course, e-learning

Photosynthesis and Energy 2022 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
Introduction to Neutron Reflectometry

An introductory course to Neutrons and their properties, as a foundational pre-requisite for Neutron Scattering and Reflectometry experimentation and theory. 

Keywords: neutron

Resource type: Moodle course, e-learning

Introduction to Neutron Reflectometry https://pan-training.eu/materials/introduction-to-neutron-reflectometry An introductory course to Neutrons and their properties, as a foundational pre-requisite for Neutron Scattering and Reflectometry experimentation and theory.  neutron
Illumidesk: Python Course

This course has the notebooks from the first four chapters of the IKON python course: 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...

Keywords:   sequence data types,   data analysis library pandas

Resource type: Moodle course, e-learning

Illumidesk: Python Course https://pan-training.eu/materials/illumidesk-python-course This course has the notebooks from the first four chapters of the IKON python course: 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. To access click on Illumidesk →Start My Server → Assignments →pythoncourse (drop down menu) → fetch Any notebooks you fetch will be visible on your illumidesk files tab. Do not submit the notebooks for feedback.   sequence data types,   data analysis library pandas
Muons in Superconductivity

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.

Keywords: extract key length scales, muons, superconductivity

Resource type: Moodle course, e-learning

Muons in Superconductivity https://pan-training.eu/materials/muons-in-superconductivity 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. extract key length scales, muons, superconductivity
Muons in Magnetism

No short description available.

Keywords: muons, magnetism

Resource type: Moodle course, e-learning

Muons in Magnetism https://pan-training.eu/materials/muons-in-magnetism No short description available. muons, magnetism
Collection of photon science slides

No short description available.

Resource type: Moodle course, e-learning, slides

Collection of photon science slides https://pan-training.eu/materials/collection-of-photon-science-slides No short description available.
Introduction to SANS

This course is split into two sections: Theoretical background to SANS Case study of nanodisks using the LOKI instrument Useful links: [SasView course](https://pan-learning.org/moodle/course/view.php?id=19) [Wiki page on...

Keywords: SANS, nanodisks, LoKi

Resource type: Moodle course, e-learning

Introduction to SANS https://pan-training.eu/materials/introduction-to-sans This course is split into two sections: Theoretical background to SANS Case study of nanodisks using the LOKI instrument Useful links: [SasView course](https://pan-learning.org/moodle/course/view.php?id=19) [Wiki page on SANS](https://pan-learning.org/wiki/index.php/Small_angle_neutron_scattering,_SANS) [Wiki problems (exercises with solutions) on SANS](https://pan-learning.org/wiki/index.php/Page_of_all_exercises#Exercises_in_Small_angle_neutron_scattering) [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) [McStas Simulation Tool](https://sim.e-neutrons.esss.dk/instrument-menu/intro-ns) SANS, nanodisks, LoKi
Introduction to small angle scattering

Introduction to small angle scattering. List of resources.

Keywords: small angle scattering , SAS

Resource type: Moodle course, e-learning

Introduction to small angle scattering https://pan-training.eu/materials/introduction-to-small-angle-scattering Introduction to small angle scattering. List of resources. small angle scattering , SAS
Highness JupyterHub

No short description available.

Resource type: Moodle course, e-learning

Highness JupyterHub https://pan-training.eu/materials/highness-jupyterhub No short description available.
SasView: Analysis of SAS Data

This course will demonstrate how to approach small-angle scattering (SAS) data analysis. In Section 1 you will familiarise yourself with:  - The format of reduced data  - How to use standard plots to extract information from experimental data  - How to calculate scattering length densities...

Keywords: small-angle scattering, reduced data, scattering length densities, SasView, polydispersity, SAS, data analysis, SLD, interparticle interaction

Resource type: Moodle course, e-learning

SasView: Analysis of SAS Data https://pan-training.eu/materials/sasview-analysis-of-sas-data This course will demonstrate how to approach small-angle scattering (SAS) data analysis. In Section 1 you will familiarise yourself with:  - The format of reduced data  - How to use standard plots to extract information from experimental data  - How to calculate scattering length densities (SLD). In Section 2 you will familiarise yourself with the basic use of SasView. In Section 3, you will  analyse SAS test data with SasView software and see the effects of:  - Polydispersity  - Resolution  - Interparticle interaction. Section 4 and 5 are optional and will lead you through simultaneous fitting and P(r) analysis. Software for this session: SasView 5.0.4. General introduction to SasView from Linxs webinar: Video - Small Angle Scattering Data Analysis with SasView. Agenda: 9:00 – 9:10 Introduction to Lab Session 9:10 – 9:20 Introduction to Section 1 9:20 – 11:30 Work on Sections 1, 2 and 3  - break-out rooms 11:30 – 13:30 Lunch break/catch up 13:30 – 15:30: Sections 4 and 5/Own data/AtSAS/Other problems - break-out rooms if needed 15:30 – Wrap-up small-angle scattering, reduced data, scattering length densities, SasView, polydispersity, SAS, data analysis, SLD, interparticle interaction
SasView for new contributors

No short description available.

Keywords: SasView

Resource type: Moodle course, e-learning

SasView for new contributors https://pan-training.eu/materials/sasview-for-developers-and-new-contributors No short description available. SasView
Including Jupyter Notebooks in your Course

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...

Keywords: jupyter notebooks, docker container, moodle, e-teaching

Resource type: Moodle course, e-learning

Including Jupyter Notebooks in your Course https://pan-training.eu/materials/including-jupyter-notebooks-in-your-course 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. Crucially students do not require Jupyter to be installed on their computers or have prior knowledge of python. Examples where this might be useful: - Show students how to reduce and analyse experimental data themselves using python. - Introduce students to python modules or software used in data reduction and analysis. - Allow students to virtually explore large scale facility instruments. For example by using McStas (neutron instrument simulator). - Teach students data modelling and simulation techniques that use python. Requirements: What the student will interact with must be in the form of a Jupyter notebook. Your notebooks must be on a public github repository. Note that the entire repository you provide will be cloned not just selected notebooks. However it does not have to be the master branch. Our containers already include common scientific python modules such as numpy, matplotlib and ipython. In addition we have containers with the following software installed: 1. McStas, McXtrace, SCIPP, SasVIew 2. Crispy 3. SimEx If 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.  Useful Links: - [Jupyter notebooks](https://jupyter.org/) - [What is a docker container](https://www.docker.com/resources/what-container)? (and the [wiki page](https://en.wikipedia.org/wiki/Docker_(software))) - [Docker and Jupyterhub](https://hub.docker.com/r/jupyterhub/jupyterhub/#help-and-resources) If you wish to include a link to a Jupyterhub container for your course. Please fill the form: Information to set up your container Once 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. Please note it may take a few days to be up and running. jupyter notebooks, docker container, moodle, e-teaching
Creating a Video Mini-Lecture

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...

Keywords: open broadcasting software, video editing software

Resource type: Moodle course, e-learning

Creating a Video Mini-Lecture https://pan-training.eu/materials/creating-a-video-mini-lecture 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. Use the following four resources to help you: 1. [Introduction to OBS](https://e-learning.pan-training.eu/moodle/mod/resource/view.php?id=1754) and how it can be used.  2. 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). 3. Links to [OBS download instructions](https://e-learning.pan-training.eu/moodle/mod/page/view.php?id=1738) for Mac, Windows and Linux. 4. 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 open broadcasting software, video editing software
Erik Knudsen's Course

Course on X-ray scattering at the DanMAX beamline of MAX IV.

Keywords: DanMAX, MAX IV

Resource type: Moodle course, e-learning

Erik Knudsen's Course https://pan-training.eu/materials/erik-knudsen-s-course Course on X-ray scattering at the DanMAX beamline of MAX IV. DanMAX, MAX IV
Python Workshop (IKON20)

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) AS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON This course has something for all levels of python and is split into 7...

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

Resource type: Moodle course, e-learning

Python Workshop (IKON20) https://pan-training.eu/materials/python-workshop-ikon20 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) AS OF 16/09/2021 THERE IS AN ISSUE WITH THE LINK - THIS WILL BE FIXED SOON This course has something for all levels of python and is split into 7 sections. The 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. The 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.  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. Extras 7. SCIPP The notebooks can accessed and run via the Jupyter hub link. A new window will open, which will ask you to Start My Server. You 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. To access the notebooks please navigate to python-course-ikon > 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 IKON20 in March 2021. data analysis library pandas, jupyter, Python, numpy, matplotlib, Ipywidgets, scipy, mcstas script