The task of Decoding the Fundamental Theory of Nature (DFTN) is not just a central task of the LHC. It is one of the main tasks of the Physics of the Elementary Particle. It became even more relevant now in the era of the LHC which can solve it! There are several reasons why we expect New Physics beyond the Standard Model (SM). The SM of particle physics, which summarises our current understanding of the fundamental constituents of matter and the forces through which they interact, is incomplete in several respects: (1) it does not account satisfactorily for the masses of the fundamental particles (2) it cannot explain why the universe is made out of matter rather than anti-matter, and (3) it lacks the particles required to account for the ”dark matter” necessary to explain the observed motions of stars in galaxies, and of galaxies within clusters. Three main classes of the Beyond The Standard Model (BSM) theories have been proposed to address SM shortcomings: Supersymmetry (SUSY), dynamical electroweak symmetry breaking and the models involving extra-dimensions. Within these classes of theories there are many different models which have been further developed during the last decade.
Decoding the fundamental theory of Nature is the main task which Large Hadron Collider (LHC) is aimed to solve. Recent discovery of the Higgs boson is an exciting example of the LHC potential to explore the highest energy frontier related to Higgs and Beyond the Standard Model (BSM) physics. Many promising models have been suggested by theorists, and a lot of work has been done by experimentalists, on the exploration of promising signatures. However no generic approach on mapping between different theories and the signatures from the experiment has been proposed. This project takes a major step towards decoding the fundamental theory of Nature at the LHC. The main, interrelated, scientific objectives of this proposal are:
1. Perform a consistent and comprehensive phenomenological exploration of various promising theories beyond the Standard Model (some theories are well explored phenomenologically and ready to be compared with data while a lot of other promising models require implementation into Monte-Carlo generators). This phenomenological study will also include implementation of the BSM models into tools for Monte-Carlo simulation at High Energy Physics Model Database (HEPMDB) pioneered by Prof. Belyaev.
2. Create the database of signatures (DBS) for BSM models using HEPMDB as a baseline. This database will collect the comprehensive information about the signatures of BSM models. The project will in addition, using DBS, construct a common format and crucially an algorithm allowing an automatic comparison of different models both theoretically and with experimental data.
3. Enrich the HEPMDB tools and create links to cosmology providing the test of the model with respect to the cold dark matter experimental constraints.
All elements of the Project involve intensive usage of High Performance Computing, generating new ideas for Computational Modelling and creating new concepts for interdisciplinary connections of High Energy Physics and Next Generation Computational Modelling.
As a result, the project will develop a solid framework for Decoding the Fundamental Theory of Nature at the Large Hadron Collider.
If you wish to discuss any details of the project, please contact
Prof. Alexander Belyaev [email protected]
School of Physics & Astronomy, University of Southampton, Office: 5053
TEL.: +44 (0)23 8059 8509
This project is run through participation in the EPSRC Centre for Doctoral Training in Next Generation Computational Modelling (http://ngcm.soton.ac.uk). For details of our 4 Year PhD programme, please see http://www.findaphd.com/search/PhDDetails.aspx?CAID=331&LID=2652
For a details of available projects click here http://www.ngcm.soton.ac.uk/projects/index.html
Visit our Postgraduate Research Opportunities Afternoon to find out more about Postgraduate Research study within the Faculty of Engineering and the Environment: http://www.southampton.ac.uk/engineering/news/events/2016/02/03-discover-your-future.page