New Techniques for New Physics Searches at the CERN Large Hadron Collider. This project aims to break new ground in the quest to discover the existence of new fundamental constituents of nature. In order to achieve this, the team will invent and deploy a suite of advanced machine learning and anomaly detection techniques, developed by the chief investigators, to mine the data processed and collected with the ATLAS experiment at the CERN Large Hadron Collider throughout the entirety of the next d ....New Techniques for New Physics Searches at the CERN Large Hadron Collider. This project aims to break new ground in the quest to discover the existence of new fundamental constituents of nature. In order to achieve this, the team will invent and deploy a suite of advanced machine learning and anomaly detection techniques, developed by the chief investigators, to mine the data processed and collected with the ATLAS experiment at the CERN Large Hadron Collider throughout the entirety of the next data taking run. Expected outcomes of this project include the first application of revolutionary anomaly detection methods to fundamental physics, probing unexplored space in the process, and enhancing the capacity and development of future leaders in Australian science and technology at the forefront of data analytics.Read moreRead less
Optimising the search for the next discovery in particle physics. This project aims to uncover the new theory of particle physics that can simultaneously explain the Higgs mechanism, the presence of dark matter and the current abundance of matter over antimatter in our universe. This is not possible with current theories. This project aims to find viable theories using a wide range of data from particle astrophysics and collider experiments. With the resulting knowledge, this project aims to des ....Optimising the search for the next discovery in particle physics. This project aims to uncover the new theory of particle physics that can simultaneously explain the Higgs mechanism, the presence of dark matter and the current abundance of matter over antimatter in our universe. This is not possible with current theories. This project aims to find viable theories using a wide range of data from particle astrophysics and collider experiments. With the resulting knowledge, this project aims to design, optimise and implement better searches for new physics at the Large Hadron Collider (LHC). The new LHC results will be used to either determine the correct explanation for any new discoveries or alternatively to provide definitive limits on new theories. The results will be used to make high impact statements on the design of future facilities.Read moreRead less
Multi-messenger particle physics: Hunting for Leptoquarks. This project aims to investigate the most significant deviations from our model of how nature works at the most fundamental level by taking a multi-messenger approach to mining data from particle collider experiments. The project expects to make definitive statements as to whether the current deviations measured in data are the result of as yet unmeasured particles and forces. Expected outcomes of this project are to build advanced algor ....Multi-messenger particle physics: Hunting for Leptoquarks. This project aims to investigate the most significant deviations from our model of how nature works at the most fundamental level by taking a multi-messenger approach to mining data from particle collider experiments. The project expects to make definitive statements as to whether the current deviations measured in data are the result of as yet unmeasured particles and forces. Expected outcomes of this project are to build advanced algorithms and methods of data interrogation that will be applied at the CERN Large Hadron Collider in Europe and the Super KEKB collider in Japan. This should provide significant benefits such as training junior researchers in advanced machine learning techniques and applications to big data analysis.
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