Name: Bootcamp: Computational tools for physics
Start: 2025-03-19T09:00:00-05:00
End: 2025-03-21T15:00:00-05:00
Location: Malott Hall

Bootcamp: Computational tools for physics

from Wednesday, 19 March 2025 (09:00) to Friday, 21 March 2025 (15:00)

Monday, 17 March 2025
Tuesday, 18 March 2025
Wednesday, 19 March 2025

09:30 Check in and setup: Check in and system setup
Check in and system setup
09:30 - 10:00
Room: 2048
10:00 Overview lecture: Day 1 lecture - Github, shell scripting and code structuring
Day 1 lecture - Github, shell scripting and code structuring
10:00 - 11:15
Room: 2048
Contributions

10:00 Version Control, Shell Scripting and Remote Computing for Academic Research - Pramil Paudel (University of Kansas)
11:15 Invited talks: Day 1
Day 1
11:15 - 12:15
Room: 2048
Contributions

11:15 Interferometric Reconstruction - Aishwarya Vijai

11:35 Statistical Tools for Neutrino Signal Search - Pawan Giri (University of Nebraska Lincoln)

11:55 Source Modeling in Large Astronomical Imaging Surveys - Viraj Manwadkar (Stanford University)
12:15 Lunch
Lunch
12:15 - 13:00
Room: 3005

13:00 Practice session: Day 1 workshop
Day 1 workshop
13:00 - 14:30
Room: 2048
Thursday, 20 March 2025

09:30 Check in and setup: Day 2 - setup and questions from prev day
Day 2 - setup and questions from prev day
09:30 - 10:00
Room: 2048
10:00 Overview lecture: Day 2 - Data Sceince lecture
Day 2 - Data Sceince lecture
10:00 - 11:15
Room: 2048
Contributions

10:00 Modeling Data: Fitting, Inference, and Machine Learning - Christopher Rogan (The University of Kansas (US))
11:15 Invited talks: Day 2
Day 2
11:15 - 12:15
Room: 2048
Contributions

11:15 Singular Value Decomposition for RFI Denoising - Curtis McLennan (University of Kansas)

11:35 Monte Carlo Simulations - Christoph Welling (University of Chicago)
12:15 Lunch
Lunch
12:15 - 13:00
Room: 3005

13:00 Practice session: Day 3 - Data Science workshop
Day 3 - Data Science workshop
13:00 - 14:30
Room: 2048
Friday, 21 March 2025

09:30 Check in and setup: Day 3 - setup and questions from prev day
Day 3 - setup and questions from prev day
09:30 - 10:00
Room: 2048
10:00 Overview lecture: Day 3 - Machine Learning lecture
Day 3 - Machine Learning lecture
10:00 - 11:15
Room: 2048
Contributions

10:00 Introduction to machine learning - Elliot Reynolds (University of Kansas)
11:15 Invited talks: Day 3
Day 3
11:15 - 12:15
Room: 2048
Contributions

11:15 Offline Neutrino Filtering using a Convolutional Neural Network at the Radio Neutrino Observatory Greenland - Ruben Camphyn

11:35 Machine Learning for Applications in Condensed Matter Physics Research - Gabriella Townsley

11:55 Artificial Intelligence at the High Energy Frontier - Margaret Rose Lazarovits (The University of Kansas (US))
12:15 Lunch
Lunch
12:15 - 13:00
Room: 3005

13:00 Practice session: Day 3 - ML workshop
Day 3 - ML workshop
13:00 - 14:30
Room: 2048

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