PaNOSC WP8 Summerschool 2022
No short description available.
Resource type: Moodle course, e-learning
PaNOSC WP8 Summerschool 2022
https://pan-learning.org/moodle/course/view.php?id=108
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-learning.org/moodle/course/view.php?id=107
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-learning.org/moodle/course/view.php?id=106
https://pan-training.eu/materials/the-structure-and-dynamics-of-materials-studied-with-x-rays-and-neutrons
No short description available.
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-learning.org/moodle/course/view.php?id=105
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.
Photosynthesis and Energy 2025
No short description available.
Resource type: Moodle course, e-learning
Photosynthesis and Energy 2025
https://pan-learning.org/moodle/course/view.php?id=103
https://pan-training.eu/materials/photosynthesis-and-energy-2022
No short description available.
McStas and McXtrace intro
No short description available.
Resource type: Moodle course, e-learning
McStas and McXtrace intro
https://pan-learning.org/moodle/course/view.php?id=104
https://pan-training.eu/materials/introduction-to-mcstas
No short description available.
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...
Keywords: io/en/latest/include/introduction
Resource type: Moodle course, e-learning
SimEx (Simulating Experiments): Examples
https://pan-learning.org/moodle/course/view.php?id=101
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](https://simex.readthedocs.io/en/latest/include/introduction.html)
Github: [https://github.com/PaNOSC-ViNYL/SimEx
](https://github.com/PaNOSC-ViNYL/SimEx)
Here you can have a go at using SimEx without local installation:
1. Launch **[JupyterHub](https://pan-learning.org/moodle/mod/lti/view.php?id=2152 "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**
io/en/latest/include/introduction
Simulation of boron carbide diffraction with D2B
**Running wget inside notebook in JupyterHub.**
It doesn't matter which working directory you start in (jovyan or jovyan/gitrepo\_simulation2b/wl\_scan\_on\_CB\_with\_D2B),
wget fails to connect with github when command is run from the notebook:
```
Connecting to github.com...
Keywords: running wget inside notebook
Resource type: Moodle course, e-learning
Simulation of boron carbide diffraction with D2B
https://pan-learning.org/moodle/course/view.php?id=100
https://pan-training.eu/materials/simulation-of-boron-carbide-diffraction-with-d2b
**Running wget inside notebook in JupyterHub.**
It doesn't matter which working directory you start in (jovyan or jovyan/gitrepo\_simulation2b/wl\_scan\_on\_CB\_with\_D2B),
wget fails to connect with github when command is run from the notebook:
```
Connecting to github.com (github.com)|140.82.121.3|:443... failed: No route to host.
```
If however you open a terminal window and run the same command, there is no issue.
You can then run the remaining commands including 'make' from within the notebook with no problems.
If I run the same notebook in the same docker container on my computer however there are no issues.
running wget inside notebook
Simulating LoKi with McStas
No short description available.
Resource type: Moodle course, e-learning
Simulating LoKi with McStas
https://pan-learning.org/moodle/course/view.php?id=102
https://pan-training.eu/materials/simulating-loki-with-mcstas
No short description available.
Introduction to Neutron Reflectometry Fitting
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.
The full course can be read as a online book at:...
Keywords: isis virtual reflectometry training
Resource type: Moodle course, e-learning
Introduction to Neutron Reflectometry Fitting
https://pan-learning.org/moodle/course/view.php?id=96
https://pan-training.eu/materials/introduction-to-neutron-reflectometry-fitting
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.
The 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)
The files can found on GitHub at [**https://github.com/reflectivity/isis\_school**](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 training
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...
Keywords: hercules 2022 oasys tutorial written, manuel sanchez del rio, mac os windows os linux os dockerthis
Resource type: Moodle course, e-learning
Introduction to Oasys (Hercules 2022)
https://pan-learning.org/moodle/course/view.php?id=99
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
Before going to the content, it is important to explain that you can use OASYS in two ways:
1. Install Oasys on your own laptop. Follow the instructions in the following links:
[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
](https://github.com/oasys-kit/oasys-installation-scripts/wiki/Use-Docker-Oasys-container)
This 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).
2. Login and get an account in: [https://vuo.elettra.eu](https://vuo.elettra.eu)
Once 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).
When your session is open, open OASYS as shown below:
**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.
hercules 2022 oasys tutorial written, manuel sanchez del rio, mac os windows os linux os dockerthis
Introduction to Crispy
Crispy is a modern interface for calculating core-level spectra.
It uses [Quanty](http://quanty.org/) 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...
Keywords: fr/computing/scientific/crispy/github page
Resource type: Moodle course, e-learning
Introduction to Crispy
https://pan-learning.org/moodle/course/view.php?id=97
https://pan-training.eu/materials/introduction-to-crispy
Crispy is a modern interface for calculating core-level spectra.
It uses [Quanty](http://quanty.org/) 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/](https://www.esrf.fr/computing/scientific/crispy/)
GitHub Page: [https://github.com/mretegan/crispy](https://github.com/mretegan/crispy)
fr/computing/scientific/crispy/github page
McStas Simulation of SANS2D
No short description available.
Resource type: Moodle course, e-learning
McStas Simulation of SANS2D
https://pan-learning.org/moodle/course/view.php?id=98
https://pan-training.eu/materials/mcstas-simulation-of-sans2d
No short description available.
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...
Keywords: data analysis library pandas, -ikon/tree/master/notebooks
Resource type: Moodle course, e-learning
Python Workshop (IKON21)
https://pan-learning.org/moodle/course/view.php?id=89
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](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, -ikon/tree/master/notebooks
Muons in Semiconductors
No short description available.
Resource type: Moodle course, e-learning
Muons in Semiconductors
https://pan-learning.org/moodle/course/view.php?id=87
https://pan-training.eu/materials/muons-in-semiconductors
No short description available.
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'...
Resource type: Moodle course, e-learning
Creating your own course
https://pan-learning.org/moodle/course/view.php?id=90
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.
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.
Resource type: Moodle course, e-learning
Introduction to Neutron Reflectometry
https://pan-learning.org/moodle/course/view.php?id=95
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.
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-learning.org/moodle/course/view.php?id=81
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
Course image taken by Andrew Brookes.
Course created by **Amanda Martinez Rodriguez**
We 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),...
Keywords: extract key length scales
Resource type: Moodle course, e-learning
Muons in Superconductivity
https://pan-learning.org/moodle/course/view.php?id=79
https://pan-training.eu/materials/muons-in-superconductivity
Course image taken by Andrew Brookes.
Course created by **Amanda Martinez Rodriguez**
We 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.
extract key length scales
Collection of photon science slides
No short description available.
Resource type: Moodle course, e-learning
Collection of photon science slides
https://pan-learning.org/moodle/course/view.php?id=82
https://pan-training.eu/materials/collection-of-photon-science-slides
No short description available.
Muons in Magnetism
No short description available.
Resource type: Moodle course, e-learning
Muons in Magnetism
https://pan-learning.org/moodle/course/view.php?id=86
https://pan-training.eu/materials/muons-in-magnetism
No short description available.
Highness JupyterHub
No short description available.
Resource type: Moodle course, e-learning
Highness JupyterHub
https://pan-learning.org/moodle/course/view.php?id=75
https://pan-training.eu/materials/highness-jupyterhub
No short description available.
Introduction to small angle scattering
**Link to SasView moodle course on PaN-learning.org**
[https://pan-learning.org/moodle/course/view.php?id=19](https://pan-learning.org/moodle/course/view.php?id=19)
**SANS simulation tool with McStas**
[https://sim.e-neutrons.esss.dk/instrument-menu/intro-ns ...
Keywords: id=19
sans simulation tool, sanssimplespheres
pan-learning wiki pagehttps, _a_small_angle_neutron_scattering_instrument
ill youtube videowww, uwe keiderling - berlin neutron scattering schoolmartin müller - hercules 2016frank gabel - hercules 2016marianne liebi - hercules 2016, paolo mariani - sisn 2015francesco spinozzi - sisn 2015leonardo chiappisi - bilbao neutron scattering school 2019adel len - cets 2019g, pépy - cets 2019wim bouwman - erice 2017, markus strobl - erice 2017
Resource type: Moodle course, e-learning
Introduction to small angle scattering
https://pan-learning.org/moodle/course/view.php?id=71
https://pan-training.eu/materials/introduction-to-small-angle-scattering
**Link to SasView moodle course on PaN-learning.org**
[https://pan-learning.org/moodle/course/view.php?id=19](https://pan-learning.org/moodle/course/view.php?id=19)
**SANS simulation tool with McStas**
[https://sim.e-neutrons.esss.dk/instrument-menu/intro-ns
](https://sim.e-neutrons.esss.dk/instrument-menu/intro-ns)Use the same login details as for pan-learning.org. [
](https://sim.e-neutrons.esss.dk/instrument-menu/intro-ns)There are currently two instruments: SANSsimple and SANSsimpleSpheres
**PaN-learning wiki page**
[https://pan-learning.org/wiki/index.php/Small\_angle\_neutron\_scattering,\_SANS
](https://pan-learning.org/wiki/index.php/Small_angle_neutron_scattering,_SANS)[https://pan-learning.org/wiki/index.php/Page\_of\_all\_exercises#Exercises\_in\_Small\_angle\_neutron\_scattering](https://pan-learning.org/wiki/index.php/Page_of_all_exercises#Exercises_in_Small_angle_neutron_scattering)
[https://pan-learning.org/wiki/index.php/Simulation\_project\_SANS-2:\_A\_small\_angle\_neutron\_scattering\_instrument](https://pan-learning.org/wiki/index.php/Simulation_project_SANS-2:_A_small_angle_neutron_scattering_instrument)
**ILL youtube video**
[www.youtube.com/watch?v=doovK7DBuEM](https://pan-learning.org/moodle/www.youtube.com/watch?v=doovK7DBuEM)
There are also a set of animations for part of a SANS instrument, one of which is
[www.youtube.com/watch?v=xxYj9VLlBKI](https://pan-learning.org/moodle/www.youtube.com/watch?v=xxYj9VLlBKI)
**Slides from lectures by:**
Uwe Keiderling - Berlin neutron scattering school
Martin Müller - Hercules 2016
Frank Gabel - Hercules 2016
Marianne Liebi - Hercules 2016 (SAXS)
Paolo Mariani - SISN 2015
Francesco Spinozzi - SISN 2015
Leonardo Chiappisi - Bilbao neutron scattering school 2019
Adel Len - CETS 2019
G. Pépy - CETS 2019
Wim Bouwman - Erice 2017 (SESANS)
Markus Strobl - Erice 2017 (SEMSANS)
The following sections were pulled from existing courses on PaN-learning.org
id=19
sans simulation tool, sanssimplespheres
pan-learning wiki pagehttps, _a_small_angle_neutron_scattering_instrument
ill youtube videowww, uwe keiderling - berlin neutron scattering schoolmartin müller - hercules 2016frank gabel - hercules 2016marianne liebi - hercules 2016, paolo mariani - sisn 2015francesco spinozzi - sisn 2015leonardo chiappisi - bilbao neutron scattering school 2019adel len - cets 2019g, pépy - cets 2019wim bouwman - erice 2017, markus strobl - erice 2017
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 ...
Keywords: sans
case study, sans wiki simulation project, mcstas simulation tool
Resource type: Moodle course, e-learning
Introduction to SANS
https://pan-learning.org/moodle/course/view.php?id=76
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) Use the same login details as for pan-learning.org. There are currently two instruments: SANSsimple and SANSsimpleSpheres
Course photo courtesy of CERIC-EIRC
sans
case study, sans wiki simulation project, mcstas simulation tool
SasView: Analysis of SAS Data
Teacher: **Wojciech Potrzebowski**
This course will demonstrate how to approach small-angle scattering (SAS) data analysis.
In **Section 1** you will familiarise yourself with the basic use of SasView.
In **Section 2** , you will **analyse SAS test data** with SasView software and see the...
Keywords: analyse sas test data, - polydispersity - resolution - interparticle interaction
Resource type: Moodle course, e-learning
SasView: Analysis of SAS Data
https://pan-learning.org/moodle/course/view.php?id=78
https://pan-training.eu/materials/sasview-analysis-of-sas-data
Teacher: **Wojciech Potrzebowski**
This course will demonstrate how to approach small-angle scattering (SAS) data analysis.
In **Section 1** you will familiarise yourself with the basic use of SasView.
In **Section 2** , you will **analyse SAS test data** with SasView software and see the effects of:
- Polydispersity
- Resolution
- Interparticle interaction.
**Section 3 and 4** are optional and will lead you through simultaneous fitting and \[P(r) \] analysis.
Software for this session: **SasView 5.0.5.**
General introduction to SasView: [https://youtu.be/Sbzf\_wdlPnQ](https://youtu.be/Sbzf_wdlPnQ)
analyse sas test data, - polydispersity - resolution - interparticle interaction
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...
Keywords: recommend open broadcasting software, video editing software
Resource type: Moodle course, e-learning
Creating a Video Mini-Lecture
https://pan-learning.org/moodle/course/view.php?id=69
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** and how it can be used.
2. Tips for good **video layout** (this is useful regardless of whether you chose to use OBS).
3. Links to **OBS download instructions** for Mac, Windows & Linux.
4. How you could **include live annotations** or a blackboard style presentation with OBS
Photos by [Jeremy Yap](https://unsplash.com/@jeremyyappy) and [Science in HD](https://unsplash.com/@scienceinhd) on [Unsplash](https://unsplash.com/s/photos/blackboard?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)
recommend open broadcasting software, video editing software
Erik Knudsen's Course
Course on X-ray scattering at the DanMAX beamline of MAX IV.
Resource type: Moodle course, e-learning
Erik Knudsen's Course
https://pan-learning.org/moodle/course/view.php?id=56
https://pan-training.eu/materials/erik-knudsen-s-course
Course on X-ray scattering at the DanMAX beamline of MAX IV.
SasView for new contributors
Welcome to the course for new contributors to SasView!
Before 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
Resource type: Moodle course, e-learning
SasView for new contributors
https://pan-learning.org/moodle/course/view.php?id=52
https://pan-training.eu/materials/sasview-for-developers-and-new-contributors
Welcome to the course for new contributors to SasView!
Before 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
Including Jupyter Notebooks in your Course
Course image by [GustavoAckles](https://pixabay.com/users/gustavoackles-6863234/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=4869815) from...
Keywords: analyse experimental data, virtually explore large scale facility instruments, - teach students data modelling, include common scientific python modules
Resource type: Moodle course, e-learning
Including Jupyter Notebooks in your Course
https://pan-learning.org/moodle/course/view.php?id=70
https://pan-training.eu/materials/including-jupyter-notebooks-in-your-course
Course image by [GustavoAckles](https://pixabay.com/users/gustavoackles-6863234/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=4869815) from [Pixabay](https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=4869815).
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.
analyse experimental data, virtually explore large scale facility instruments, - teach students data modelling, include common scientific python modules
Quasi-Elastic Neutron Scattering
Course created by **Sanghamitra Mukhopadhyay**.
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.
Estimated Completion Time: **1 Hour**
Resource type: Moodle course, e-learning
Quasi-Elastic Neutron Scattering
https://pan-learning.org/moodle/course/view.php?id=35
https://pan-training.eu/materials/quasi-elastic-neutron-scattering
Course created by **Sanghamitra Mukhopadhyay**.
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.
Estimated Completion Time: **1 Hour**
