Activity log
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changed Short description
to: 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.
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to: English
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to: ["neutron"]
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to: English
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to: ["moodle"]
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to:
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to: English
Someone
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to: ["McStas", "mcstas simulation tool", "SANS2D"]
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to:
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to: English
Someone
changed Keywords
to: ["McStas", "mcstas simulation tool", "LoKi"]
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to:
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to: English
Someone
changed Keywords
to: ["McStas", "mcstas simulation tool"]
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to:
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to: English
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changed Keywords
to: ["photosynthesis ", "energy"]
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to:
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to: English
Someone
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to: ["small-angle scattering", "reduced data", "scattering length densities", "SasView", "polydispersity", "SAS", "data analysis", "SLD", "interparticle interaction"]
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to:
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changed Short description
to: 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
Someone
changed Target audience
to: ["masters students", "bachelors students"]
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to: English
Someone
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to: ["small molecule liquid nmr analysis", "liquid nmr sample preparation", "NMR analysis"]
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to:
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changed Short description
to: Introduction to NMR analysis is a short introductory course intended for Bachelor's and Master's students of chemistry. It has been designed and is curated by Primož Šket (National Institute of Chemistry, Slovenia) and Aljoša Hafner (CERIC-ERIC, Italy).
Course duration is approximately 45 min.
The main goal of the course is to gain knowledge on how to perform small molecule liquid NMR analysis 1H and 13C, going from the experiment to the empirical chemical formula. The following competences will be achieved:
Basic theoretical background is presented
Key components to liquid NMR sample preparation (isotopic labeling, solvent exchange, size)
Interactive work on 1D spectra of various compounds (e. g.CH3COOH , C2H4O2)
Determining the empirical chemical formula from measured spectra
Key resources:
https://www.nmrdb.org/new_predictor/index.shtml?v=v2.121.0
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to: English
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to: ["data analysis library pandas", "jupyter", "Python", "numpy", "matplotlib", "Ipywidgets", "scipy", "mcstas script"]
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to: 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.
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changed Short description
to: 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
Someone
changed Short description
to: 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
Someone
changed Language
to: English
Someone
changed Keywords
to: ["open broadcasting software", "video editing software"]
Someone
changed Doi
to:
Someone
changed Short description
to: 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 & 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