DMSC Summer School 2023

3 Sept 2023, 17:00 → 8 Sept 2023, 18:00 Europe/Copenhagen

Welcome to ESS Data Management and Software Centre (DMSC) Summer School 2023!

The school will be held in Copenhagen from the 4th to the 8th of September 2023, with on-site registration and welcome event on the afternoon of the 3rd (see more in Programme). 

This summer school is being organised by the European Spallation Source using the historic Niels Bohr Institute Auditorium A provided by the University of Copenhagen. We invite applications for participation to learn about the role of your data, from proposal to publication.

The role of data in neutron scattering is changing, with greater importance being placed on data reduction and analysis, as well as FAIR (findable, accessible, interoperable, and reusable) and open data. Therefore, neutron scattering scientists must be trained to understand fully the role that data has in their experiments and how to harness the tools that maximise the value of their data. This summer school will provide that training, covering the full ESS Data Pipeline. 

There will be lectures/workshops on subjects including: 

• Using Python for scientific computing
• Data management and the role of data in the beamtime proposal
• Simulating neutron scattering experiments
• Modern reduction and analysis of data
• The importance of scientific metadata and reproducibility

There will also be a tour of the ESS and MAX IV facilities, as well as a poster session. Therefore, we ask that you include a poster abstract with your application. To ensure a low student-to-teacher ratio, the number of places is limited. 

Application closes: 10th July

Thanks to generous support by DanScatt and the Carlsberg Foundation, participation in the school and field trip is free of charge. Accommodation is included, but you will need to be prepared to pay travel and some evening meal costs. 

DMSC_SS_2023_Abstract_Template.docx

PRIVACY STATEMENT FOR ESS DMSC Summer school.pdf

Monday, 4 September

09:00 → 09:30 Tour of NBI

A guided tour of the historic Niels Bohr Institute, including Niels Bohr's office.

09:30 → 10:30 Python Training

This session will introduce more advanced aspects of the Python programming language that the students will take advantage of during the summer school.

Teachers:
- Andrew McCluskey
- Jan-Lukas Wynen
- Neil Vaytet
- Sunyoung Yoo
- Mads Bertelsen

10:30 → 10:45 Coffee

10:45 → 12:00 Python Training

This session will introduce more advanced aspects of the Python programming language that the students will take advantage of during the summer school.

Teachers:
- Andrew McCluskey
- Jan-Lukas Wynen
- Neil Vaytet
- Sunyoung Yoo
- Mads Bertelsen

12:00 → 13:00 Lunch

13:00 → 14:30 Python Training

This session will introduce more advanced aspects of the Python programming language that the students will take advantage of during the summer school.

Teachers:
- Andrew McCluskey
- Jan-Lukas Wynen
- Neil Vaytet
- Sunyoung Yoo
- Mads Bertelsen

14:30 → 14:45 Coffee

14:45 → 16:00 Python Training

This session will introduce more advanced aspects of the Python programming language that the students will take advantage of during the summer school.

Teachers:
- Andrew McCluskey
- Jan-Lukas Wynen
- Neil Vaytet
- Sunyoung Yoo
- Mads Bertelsen

16:00 → 17:00 Proposals, DMPs, and FAIR

The role that data has in your beamtime proposals is changing. This lecture will introduce this new role alongside data management plans. Finally, the important of FAIR data will be discussed.

Teachers:
- Frederik Bolmsten

Tuesday, 5 September

09:00 → 10:00 MAX IV Tour

10:00 → 10:30 Transfer to ESS and Coffee

10:30 → 12:30 McStas Simulations

McStas allows "virtual experiments" to be performed. This allows us to get a grip on what our data might look like before we attend the experiment.

Teachers:
- Mads Bertelsen
- Peter Willendrup
- Andrew McCluskey

12:30 → 13:30 Lunch

13:30 → 14:30 Poster Session and Coffee

This is a chance to talk to your colleagues about the research that you are conducting at your home institutions and why you are interested in data.

14:30 → 15:30 McStas Simulations

McStas allows "virtual experiments" to be performed. This allows us to get a grip on what our data might look like before we attend the experiment.

Teachers:
- Mads Bertelsen
- Peter Willendrup
- Andrew McCluskey

15:30 → 17:30 ESS Tour

Wednesday, 6 September

09:00 → 10:00 File formats, data reduction and the scipp library

The NeXus file format will be the standard for raw data at the European Spallation Source. In this session, the file format will be introduced and how raw data is reduced, using the scipp library, will be shown.

Teachers:
- Neil Vaytet
- Jan-Lukas Wynen
- Sunyoung Yoo
- Andrew McCluskey

10:00 → 10:15 Coffee

10:15 → 12:00 File formats, data reduction and the scipp library

The NeXus file format will be the standard for raw data at the European Spallation Source. In this session, the file format will be introduced and how raw data is reduced, using the scipp library, will be shown.

Teachers:
- Neil Vaytet
- Jan-Lukas Wynen
- Sunyoung Yoo
- Andrew McCluskey

12:00 → 13:00 Lunch

13:00 → 15:00 File formats, data reduction and the scipp library

The NeXus file format will be the standard for raw data at the European Spallation Source. In this session, the file format will be introduced and how raw data is reduced, using the scipp library, will be shown.

Teachers:
- Neil Vaytet
- Jan-Lukas Wynen
- Sunyoung Yoo
- Andrew McCluskey

15:00 → 15:15 Coffee

15:15 → 17:00 File formats, data reduction and the scipp library

The NeXus file format will be the standard for raw data at the European Spallation Source. In this session, the file format will be introduced and how raw data is reduced, using the scipp library, will be shown.

Teachers:
- Neil Vaytet
- Jan-Lukas Wynen
- Sunyoung Yoo
- Andrew McCluskey

18:00 → 22:00 AI Games Night

Thursday, 7 September

09:00 → 10:30 Model dependent analysis with EasyCore

Neutron scattering experiments are typically analysed with model-dependent approaches. This session will cover the theory of these approaches and how functional forms can be fit with EasyCore. Before going on to look at more complex analysis processes, such as Bayesian inference.

Teachers:
- Andrew McCluskey

10:30 → 10:45 Coffee

10:45 → 12:00 Model dependent analysis with EasyCore

Neutron scattering experiments are typically analysed with model-dependent approaches. This session will cover the theory of these approaches and how functional forms can be fit with EasyCore. Before going on to look at more complex analysis processes, such as Bayesian inference.

Teachers:
- Andrew McCluskey

12:00 → 13:00 Lunch

13:00 → 15:00 Model dependent analysis with EasyCore

Neutron scattering experiments are typically analysed with model-dependent approaches. This session will cover the theory of these approaches and how functional forms can be fit with EasyCore. Before going on to look at more complex analysis processes, such as Bayesian inference.

Teachers:
- Andrew McCluskey

15:00 → 15:15 Coffee

15:15 → 17:00 Model dependent analysis with EasyCore

Neutron scattering experiments are typically analysed with model-dependent approaches. This session will cover the theory of these approaches and how functional forms can be fit with EasyCore. Before going on to look at more complex analysis processes, such as Bayesian inference.

Teachers:
- Andrew McCluskey

18:00 → 22:00 Conference Dinner: Summer School Dinner

Friday, 8 September

09:00 → 10:30 SciCat and Scientific Metadata

Metadata is fundamental to producing FAIR data. In this session, you will encounter the SciCat data catalogue and learn how to access it from Python code.

Teachers:
- Max Novelli
- Jan-Lukas Wynen
- Andrew McCluskey

10:30 → 10:45 Coffee

10:45 → 12:30 SciCat and Scientific Metadata

Metadata is fundamental to producing FAIR data. In this session, you will encounter the SciCat data catalogue and learn how to access it from Python code.

Teachers:
- Max Novelli
- Jan-Lukas Wynen
- Andrew McCluskey

12:30 → 13:30 Close and Lunch