Contributor Camp

16 Jan 2024, 09:00 → 22 Jan 2024, 18:00 America/New_York

University of Delaware campus

Welcome to the registration portal for the SasView Contributor Camp!

For more information and timetable please visit: https://github.com/SasView/sasview/wiki/ContributorCampXII

PRIVACY_STATEMENT_SasViewContributorCamp.pdf

Wednesday 17 January ¶

Tour of NBI¶

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

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

02:30 Coffee

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

04:00 Lunch

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

06:30 Coffee

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

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

Thursday 18 January ¶

MAX IV Tour¶

02:00 Transfer to ESS and Coffee

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

04:30 Lunch

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.

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

ESS Tour¶

Friday 19 January ¶

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

02:00 Coffee

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

04:00 Lunch

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

07:00 Coffee

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

AI Games Night¶

Saturday 20 January ¶

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

02:30 Coffee

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

04:00 Lunch

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

07:00 Coffee

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

Conference Dinner: Summer School Dinner¶

Sunday 21 January ¶

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

02:30 Coffee

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

Close and Lunch¶