Discovery Early Career Researcher Award - Grant ID: DE220100225
Funder
Australian Research Council
Funding Amount
$419,845.00
Summary
Unmasking dark matter: from the laboratory to the Milky Way. The unknown nature of the dark matter that fills our galaxy is one of the biggest problems in physics today. This project aims to connect the particle and astrophysics of dark matter so as to accelerate us towards its first detection in the lab. The expected outcomes are 1) new experimental concepts to test the widening landscape of viable theories and 2) robust predictions for signals in those experiments backed up by the latest surve ....Unmasking dark matter: from the laboratory to the Milky Way. The unknown nature of the dark matter that fills our galaxy is one of the biggest problems in physics today. This project aims to connect the particle and astrophysics of dark matter so as to accelerate us towards its first detection in the lab. The expected outcomes are 1) new experimental concepts to test the widening landscape of viable theories and 2) robust predictions for signals in those experiments backed up by the latest surveys of our Milky Way. These outcomes should benefit experiments across the world on the quest to fill a major gap in our understanding of the Universe. The grand scope of this research aims to place Australia in the vanguard of one of the most active pursuits of new physics in the modern era.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101026
Funder
Australian Research Council
Funding Amount
$438,835.00
Summary
Atomic physics as a probe for fundamental physics and dark matter. The Standard Model is extremely effective at describing the fundamental particles and interactions, but is known to be incomplete. This project aims to uncover new signatures of physics beyond the Standard Model that may be observed in atomic experiments. This project expects to generate new knowledge to help unravel the mystery of dark matter, which accounts for the majority (85%) of the matter in the universe. Expected outcomes ....Atomic physics as a probe for fundamental physics and dark matter. The Standard Model is extremely effective at describing the fundamental particles and interactions, but is known to be incomplete. This project aims to uncover new signatures of physics beyond the Standard Model that may be observed in atomic experiments. This project expects to generate new knowledge to help unravel the mystery of dark matter, which accounts for the majority (85%) of the matter in the universe. Expected outcomes include extending theoretical atomic physics methods, calculating new observable atomic effects, and combining these with experiments to probe fundamental physics and search for dark matter. These outcomes would contribute to the expanding knowledge in the fields of atomic and fundamental physics.Read moreRead less
Converging on new particles and fundamental symmetries. The goal of this project is to test theories for new particles and fundamental symmetries. By using advanced computational and statistical methods to combine all relevant data from many different experiments with a large number of different theoretical predictions, it expects to reveal just how well different theories actually describe reality. This will help us to understand what new particles and fundamental symmetries exist beyond thos ....Converging on new particles and fundamental symmetries. The goal of this project is to test theories for new particles and fundamental symmetries. By using advanced computational and statistical methods to combine all relevant data from many different experiments with a large number of different theoretical predictions, it expects to reveal just how well different theories actually describe reality. This will help us to understand what new particles and fundamental symmetries exist beyond those we already know. It will lead to new algorithms and computational methods in machine learning and statistical sampling, and will train a cohort of graduates highly skilled in statistical data science and research computing.Read moreRead less