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

01:00 → 01:30 Tour of NBI

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

01:30 → 02:30 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

02:30 → 02:45 Coffee

02:45 → 04:00 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

04:00 → 05:00 Lunch

05:00 → 06:30 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

06:30 → 06:45 Coffee

06:45 → 08:00 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

08:00 → 09:00 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

Thursday, 18 January

01:00 → 02:00 MAX IV Tour

02:00 → 02:30 Transfer to ESS and Coffee

02:30 → 04:30 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

04:30 → 05:30 Lunch

05:30 → 06:30 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.

06:30 → 07:30 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

07:30 → 09:30 ESS Tour

Friday, 19 January

01:00 → 02:00 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

02:00 → 02:15 Coffee

02:15 → 04:00 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

04:00 → 05:00 Lunch

05:00 → 07:00 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

07:00 → 07:15 Coffee

07:15 → 09:00 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 → 14:00 AI Games Night

Saturday, 20 January

01:00 → 02:30 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

02:30 → 02:45 Coffee

02:45 → 04:00 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

04:00 → 05:00 Lunch

05:00 → 07:00 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

07:00 → 07:15 Coffee

07:15 → 09:00 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

10:00 → 14:00 Conference Dinner: Summer School Dinner

Sunday, 21 January

01:00 → 02:30 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

02:30 → 02:45 Coffee

02:45 → 04:30 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

04:30 → 05:30 Close and Lunch