Training Workflow on Terahertz Spectroscopy at TELBE
The radiation source ELBE (Electron Linac for beams with high Brilliance and low Emittance) at the Helmholtz Centre Dresden Rossendorf (HZDR) can produce several kinds of secondary radiations. THz radiation is one of them and can be used with a typical pulse frequency of 100 kHz as a stimulation...
Scientific topics: spectroscopy, THz photon probe
Keywords: terahertz, Higgs, dataset, data analysis, spectroscopy, FAIR, training, TELBE, photon, metadata, TELBE
Resource type: lesson, workflow, training
Training Workflow on Terahertz Spectroscopy at TELBE
https://pan-training.eu/workflows/telbe
https://pan-training.eu/materials/terahertz-spectroscopy-workflow
The radiation source ELBE (Electron Linac for beams with high Brilliance and low Emittance) at the Helmholtz Centre Dresden Rossendorf (HZDR) can produce several kinds of secondary radiations. THz radiation is one of them and can be used with a typical pulse frequency of 100 kHz as a stimulation source for elementary low-energy degrees of freedom in matter.
In this training workflow brings together background information of the experiment, the facility used, as well as the processing techniques and steps to understand the data generated by the experiment:
* The open accessible dataset
* The software
* Services to execute the analysis
spectroscopy
THz photon probe
terahertz, Higgs, dataset, data analysis, spectroscopy, FAIR, training, TELBE, photon, metadata, TELBE
PaN Community
beamline users
graduate students
NOBUGS 2022
The 13th NOBUGS Conference was held at Paul Scherrer Institute, Villigen, Switzerland on September 19-22, 2022. The goal of the NOBUGS (New Opportunities for Better User Group Software) Conference Series is to foster collaboration and exchange between scientists and IT professionals working on...
Keywords: NOBUGS, scientific software
Resource type: video, slides
NOBUGS 2022
https://www.youtube.com/channel/UC7SUAP5KT6c5g-BaJR718BQ/videos
https://pan-training.eu/materials/nobugs-2022
The 13th NOBUGS Conference was held at Paul Scherrer Institute, Villigen, Switzerland on September 19-22, 2022. The goal of the NOBUGS (New Opportunities for Better User Group Software) Conference Series is to foster collaboration and exchange between scientists and IT professionals working on software for X-ray, neutron and muon sources from around the world.
Program Themes:
- Data acquisition systems
- Data reduction
- User interfaces
- Data catalogs/Electronic Notebooks
- Data Streaming
- Use of (commercial) Cloud Systems
- Web Tools
- Workflow Engines & Tools
- Other Relevant Topics
NOBUGS, scientific software
Virtual Infrastructure for Scientific Analysis (VISA) Workshop
We invite you to view our workshop – hosted jointly by ExPaNDS and PaNOSC!
VISA provides remote data analysis services giving access to experimental data, analysis software, compute infrastructure and expert-user support (IT and Scientific). The online half-day Workshop is open to all external...
Keywords: VISA, expands, PaNOSC, remote data analysis services
Resource type: slides
Virtual Infrastructure for Scientific Analysis (VISA) Workshop
https://expands.eu/presentations/#VISAWorkshop
https://pan-training.eu/materials/virtual-infrastructure-for-scientific-analysis-visa-workshop
We invite you to view our workshop – hosted jointly by ExPaNDS and PaNOSC!
VISA provides remote data analysis services giving access to experimental data, analysis software, compute infrastructure and expert-user support (IT and Scientific). The online half-day Workshop is open to all external stakeholders (especially scientists and IT staff but not limited to). We aim to demonstrate to beamline scientists the possibilities offered by VISA for data analysis and gathering IT staff around the table to discuss about the development and further deployment of the platform.
VISA has been developed at a critical time (during the COVID-19 crisis) to answer data analysis needs and allowing remote instrument control. It provides simplified access for scientists to data analysis tools, offers remote support to users from experts and allows them to remotely control their experiments with the assistance of on-site instrument scientists. VISA allows a user to use the Remote Desktop as if they were sitting in front a data treatment workstation at the host institute and embeds JupyterLab directly accessible from the same platform interface. Initially developed at the Institut Laue-Langevin (ILL) in Grenoble, France and further deployed in the context of PaNOSC, VISA enables the PaN research infrastructures (PaN RIs) to work together on further scientific collaborations to solve 21st century challenges.
The first session of the workshop showcases the implementation of VISA at the PaN RIs through ExPaNDS and PaNOSC partner’ demos and illustrate its use for scientific users and others.
The second session in the afternoon focuses on presentations on VISA development and deployment (on OpenStack and other infrastructures), paving the way for a roundtable discussion on the future of VISA: sustainability and future collaborations.
Video recording (direct link to vimeo) will be available soon.
VISA, expands, PaNOSC, remote data analysis services
Final recommendations for FAIR Photon and Neutron Data Management
The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a common metadata framework for FAIR data generated in Photon and Neutron (PaN) facilities. The modalities of implementation of this framework across facilities are examined and current practices and...
Keywords: expands, wp2-ExPaNDS, FAIR, data management
Resource type: Document
Final recommendations for FAIR Photon and Neutron Data Management
https://zenodo.org/record/6821676#.YwiWdnHP02w
https://pan-training.eu/materials/final-recommendations-for-fair-photon-and-neutron-data-management
The present deliverable pursues the work initiated in ExPaNDS deliverable 2.2, which established a common metadata framework for FAIR data generated in Photon and Neutron (PaN) facilities. The modalities of implementation of this framework across facilities are examined and current practices and tools for metadata capture, storage and exposure are highlighted. This work is also the occasion to examine the commonalities of the framework with other initiatives developed inside and outside ExPaNDS such as the common search API, the data catalogues (ExPaNDS WP3), the EOSC discovery platforms B2FIND and OpenAire as well as the NeXus data format. It also provides the reader with guidelines on current tools and schemata available to record provenance and digital preservation information. The essence of these discussions is summarised as a list of practical recommendations at the end.
expands, wp2-ExPaNDS, FAIR, data management
PaN Community
ILL's PhD talks
This YouTube playlist displays the ILL PhD seminars, recorded in winter and spring 2021.
We thank all the speakers who have agreed to have their presentation shared in this collection, curated by Valerie Duchasténier and Steph Monfront.
Scientific topics: neutron scattering, small angle neutron scattering, time-of-flight spectrometry, magnetism technique, neutron time of flight technique
Keywords: neutron scattering theorie, neutron transport , monochromization, polarized neutrons, multi grid detectors, guide fields and solenoids, quasi-elastic neutron scattering, Small Angle Neutron Scattering, time-of-flight, magnetism and neutrons, ultra cold neutrons, Nuclear Physics
Resource type: video
ILL's PhD talks
https://www.youtube.com/playlist?list=PLA2s_idZ6bwFdB-HUrmKllBq7Uhsl3gpX
https://pan-training.eu/materials/ill-s-phd-talks
This YouTube playlist displays the ILL PhD seminars, recorded in winter and spring 2021.
We thank all the speakers who have agreed to have their presentation shared in this collection, curated by Valerie Duchasténier and Steph Monfront.
neutron scattering
small angle neutron scattering
time-of-flight spectrometry
magnetism technique
neutron time of flight technique
neutron scattering theorie, neutron transport , monochromization, polarized neutrons, multi grid detectors, guide fields and solenoids, quasi-elastic neutron scattering, Small Angle Neutron Scattering, time-of-flight, magnetism and neutrons, ultra cold neutrons, Nuclear Physics
PhD students
PaNOSC WP8 Summerschool 2022
No short description available.
Resource type: Moodle course, e-learning
PaNOSC WP8 Summerschool 2022
https://pan-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.
Offline data analysis tutorial
Tutorial on European XFEL offline data analysis as per example of MID instrument data
Scientific topics: small angle x-ray scattering
Keywords: Extra-data, Extra-geom, pyFAI, data analysis
Resource type: jupyter notebook
Offline data analysis tutorial
https://indico.desy.de/event/33127/contributions/117081/
https://pan-training.eu/materials/offline-analysis-tutorial
Tutorial on European XFEL offline data analysis as per example of MID instrument data
small angle x-ray scattering
Extra-data, Extra-geom, pyFAI, data analysis
PaN users
beamline users
research data scientist
A deep dive into the mathematics of Machine Learning
Crash course on Machine Learning
Keywords: machine learning
Resource type: slides
A deep dive into the mathematics of Machine Learning
https://indico.desy.de/event/33127/contributions/117087/attachments/71317/91043/user_meeting_ml_intro_jan_2022.pdf
https://pan-training.eu/materials/a-deep-dive-into-the-mathematics-of-machine-learning
Crash course on Machine Learning
machine learning
research data scientist
masters students
PhD students
Jupyter notebooks on Machine Learning for scientific data analysis
Jupyter Notebooks serving as supplementary material for a tutorial on Machine Learning, originally presented at the 2022 European XFEL user meeting.
Resource type: jupyter notebook
Jupyter notebooks on Machine Learning for scientific data analysis
https://git.xfel.eu/danilo/ml-tutorial
https://pan-training.eu/materials/jupyter-notebooks-on-machine-learning-for-scientific-data-analysis
Jupyter Notebooks serving as supplementary material for a tutorial on Machine Learning, originally presented at the 2022 European XFEL user meeting.
research data scientist
PhD students
masters students
DTU course / X-ray and Neutron Experiments at International Research Facilities
No short description available.
Resource type: Moodle course, e-learning
DTU course / X-ray and Neutron Experiments at International Research Facilities
https://pan-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.
European Photon and Neutron Open Data Search Portal
The European Photon and Neutron sources are working together in the PaNOSC and ExPaNDS projects financed by the European Commission to build the European Open Science Cloud. One of the main objectives of the EOSC is to make Open Data from these facilities FAIR. This portal implements the...
Keywords: FAIR, federated search engine, open data, EOSC
Resource type: tool
European Photon and Neutron Open Data Search Portal
https://data.panosc.eu/
https://pan-training.eu/materials/european-photon-and-neutron-open-data-search-portal
The European Photon and Neutron sources are working together in the PaNOSC and ExPaNDS projects financed by the European Commission to build the European Open Science Cloud. One of the main objectives of the EOSC is to make Open Data from these facilities FAIR. This portal implements the F(indable) part of FAIR via a **federated search engine** from the following facilities:
- European Spallation Source
- Institut Laue Langevin
- MAX IV
Additional facilities will be included in the federated search as their search engines come online locally. The goal is to include all photon and neutron facilites who provide open data by the end of the two projects PaNOSC and ExPaNDS.
The mission of the PaN data search portal is to contribute to the realization of a data commons for Neutron and Photon science. The search results provide a link to the landing page of the data DOIs through which the other data services provided by PaNOSC and ExPaNDS for data downloading, analysis, notebooks and simulation can be accessed. The aim of the portal is to facilitate using data from photon and neutron sources for the many scientists from existing and future disciplines. To achieve this aim, the exchange of know-how and experiences is crucial to driving a change in culture by embracing Open Science among the targeted scientific communities. This is why the project works closely with the national photon and neutron sources in Europe to develop common policies, strategies and solutions in the area of FAIR data policy, data management and data services.
FAIR, federated search engine, open data, EOSC
Photosynthesis and Energy 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.
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.
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 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.
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
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.
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
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
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.
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.