2019 Neutrino Data Workshop & Student Presentations
July 24-26, 2019
Wilson Hall, One East
Tiny URL for this page: https://tinyurl.com/fnalqn2019
Objectives for Neutrino Data Workshop
Participating teachers will:
- Apply classical physics principles to reduce or explain the observations in data investigations.
- Identify and describe ways that data are organized for determining any patterns that may exist in the data.
- Create, organize and interpret data plots; make claims based on evidence and provide explanations; identify data limitations.
- Develop a plan for taking students from their current level of data use to subsequent levels using activities and/or ideas from the workshop.
We will also provide opportunities to engage in critical dialogue among teaching colleagues about what they learn in the workshop.
Times and specific activities are subject to adjustment.
Wednesday, July 24
09:00 Welcome, Introductions, Overview
09:45 Fermilab Scientist Talk: Marco mambelli, Computing at Fermilab
10:30 Student Presentation::
11:15 Tour: Grid Computing Clusters
13:00 Fermilab Scientist Talk: Adam Lyon, Quantum Computing
13:45 Student Presentation: Machine Learning to identify strong lensing LSST, Hailey Hurd, The Latin School, Brian Nord, Mentor
14:30 Tour: NuMI underground, (MINOS, MINERvA, NOvA)
16:00 QuarkNet "houskeeping" & Reflection
16:30 End of day
Thursday, July 25
Friday, July 26
09:00 Recap & Reflection
09:30 Data Activities:
10:45 Begin MINERvA
13:00 Continue MINERvA Masterclass
14:15 Implementation Plans
15:15 End of workshop reflection, Q&A
15:30 Teacher Survey
16:00 End of workshop