Activity log

Someone
changed Start to: 2025-02-06 09:00:12 UTC
pan-training pan-training updated Bad Honnef Seminar 2025, Bad Honnef, Deutschland at 2025-02-05 11:30:03 UTC.
Someone
changed End to: 2025-02-05 00:00:15 UTC
Someone
changed Start to: 2025-02-05 09:00:12 UTC
pan-training pan-training updated Bad Honnef Seminar 2025, Bad Honnef, Deutschland at 2025-02-04 11:30:03 UTC.
Someone
changed End to: 2025-02-04 00:00:15 UTC
Someone
changed Start to: 2025-02-04 09:00:12 UTC
pan-training pan-training updated Bad Honnef Seminar 2025, Bad Honnef, Deutschland at 2025-02-03 11:30:03 UTC.
Someone
changed End to: 2025-02-03 00:00:15 UTC
Someone
changed Start to: 2025-02-03 09:00:12 UTC
pan-training pan-training updated Bad Honnef Seminar 2025, Bad Honnef, Deutschland at 2025-02-02 11:30:03 UTC.
Someone
changed End to: 2025-02-02 00:00:15 UTC
Someone
changed Start to: 2025-02-02 09:00:12 UTC
pan-training pan-training updated Neutrons, X-rays and Positrons for studying microscopic structures and dynamics at 2025-02-01 11:31:13 UTC.
Someone
changed Keywords to: ["neutron scattering requires large scale facilities", "large scale facilities", "master level physics students"]
Someone
changed Short description to: 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. The contents of this course is targeted for master level physics students and can be used as a fully online self-study course.
pan-training pan-training updated DMSC - Instrument Scientists workshop (2022) at 2025-02-01 11:31:11 UTC.
Someone
changed Short description to: **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.
pan-training pan-training updated McStas and McXtrace intro at 2025-02-01 11:31:11 UTC.
Someone
changed Keywords to: []
pan-training pan-training updated Photosynthesis and Energy 2025 at 2025-02-01 11:31:10 UTC.
Someone
changed Keywords to: []
pan-training pan-training updated Simulating LoKi with McStas at 2025-02-01 11:31:09 UTC.
Someone
changed Keywords to: []
pan-training pan-training updated SimEx (Simulating Experiments): Examples at 2025-02-01 11:31:09 UTC.
Someone
changed Keywords to: ["io/en/latest/include/introduction"]
Someone
changed Short description to: 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**
pan-training pan-training updated Simulation of boron carbide diffraction with D2B at 2025-02-01 11:31:08 UTC.
Someone
changed Keywords to: ["running wget inside notebook"]
Someone
changed Short description to: **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. ``` ![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5302/course/section/670/image%20%281%29.png) 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. ![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5302/course/section/670/image.png) If I run the same notebook in the same docker container on my computer however there are no issues. ![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5302/course/section/670/image%20%282%29.png)
pan-training pan-training updated Introduction to Oasys (Hercules 2022) at 2025-02-01 11:31:07 UTC.
Someone
changed Keywords to: ["hercules 2022 oasys tutorial written", "manuel sanchez del rio", "  mac os      windows os      linux os      dockerthis"]
Someone
changed Short description to: ![oasys_logo](https://e-learning.pan-training.eu/webservice/pluginfile.php/5289/course/section/661/oasys_logo.png) 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: ![](https://e-learning.pan-training.eu/webservice/pluginfile.php/5289/course/section/661/image.png) **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.
pan-training pan-training updated McStas Simulation of SANS2D at 2025-02-01 11:31:07 UTC.
Someone
changed Keywords to: []
pan-training pan-training updated Introduction to Crispy at 2025-02-01 11:31:06 UTC.
Someone
changed Keywords to: ["fr/computing/scientific/crispy/github page"]
Someone
changed Short description to: 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)
pan-training pan-training updated Introduction to Neutron Reflectometry Fitting at 2025-02-01 11:31:06 UTC.
Someone
changed Keywords to: ["isis virtual reflectometry training"]
Someone
changed Short description to: 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.**
pan-training pan-training updated Introduction to Neutron Reflectometry at 2025-02-01 11:31:05 UTC.
Someone
changed Keywords to: []
pan-training pan-training updated Creating your own course at 2025-02-01 11:31:04 UTC.
Someone
changed Keywords to: []
pan-training pan-training updated Python Workshop (IKON21) at 2025-02-01 11:31:04 UTC.
Someone
changed Keywords to: ["  data analysis library pandas", "-ikon/tree/master/notebooks"]
Someone
changed Short description to: **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._
pan-training pan-training updated Muons in Semiconductors at 2025-02-01 11:31:03 UTC.
Someone
changed Short description to: No short description available.