Speaker
Dr
Brian Nord
(Fermilab)
Description
Current and future cosmology surveys will provide data sets unprecedented in size and precision with which to measure dark energy, dark matter and the early universe through probes like strong gravitational lensing, supernovae, and the cosmic microwave background. First, we’ll discuss the challenges posed by astronomically big and complex data, and the potential for machine learning. Then, I will present a variety of successful applications of deep learning techniques to astrophysical and cosmological data, including classification, measurement, and simulation.
Primary author
Dr
Brian Nord
(Fermilab)
Co-author
Dr
Irshad Mohammed
(Fermilab)