Exploring Cosmology
with Machine Learning
August 2nd-4th 2023
Physics Department, Missouri University of Science and Technology
Rolla, MO
Beginning with little knowledge in cosmology and coding, you will be able to write a Python code
for a simple Machine Learning application to a cosmology problem in 3 days!
This summer workshop is supported by National Science Foundation “Partnerships in Astronomy & Astrophysics Research and Education” Project #2219212, partnered with Lincoln University.
Workshop Photo
Lecturers
Dr. Shun Saito
Assistant Professor in Physics
Dr. Hasti Khoraminezhad
Postdoctoral Researcher
Dishari Malakar
2nd-year Ph. D. student in Physics
Cole Rischbieter
2nd-year Ph. D. student in Physics
Steven Karst
Senior undergraduate student in Physics
Scientific Organizing Committee
Dr. Marco Cavaglia
Professor in Physics
Dr. Ajay Mishra
Associate Professor in Lincoln University
Three Pillars
Python programming
We will cover basic python syntax including scientific programming with numpy and visualization with matplotlib.
Cosmic Expansion History
We will derive the Friedmann equation which govern the cosmic expansion history and understand how to observationally infer the history.
Machine Learning
What is Machine learning?
Why and how is it useful?
We will cover basic statistics and apply some simple algorithms to cosmology problems.
Venue
The workshop will happen at Room 128 in Physics Building (1315 N Pine St, Rolla, MO 65409, see the map below).
Parking: you may readily find free spots along the nearby roads between 12th & 15th or Pine & Oak St.
Flyer
Sponsor
