Conveners
Student Session: Talks (1). Chair: Nourhan Hendawy, with Stefano Moretti.
- There are no conveners in this block
Student Session: Talks (2). Chair: Saeed Vahedikamal, with Andrea Banfi.
- There are no conveners in this block
Student Session: Virtual poster session
- Stefano Moretti (Science and Technology Facilities Council STFC (GB))
- Stephen West (Royal Holloway, University of London)
- Jacob Thomas Linacre (Science and Technology Facilities Council STFC (GB))
In recent years particle physics research has undergone somewhat of a phase transition, looking increasingly towards hidden sectors and the feebly interacting frontier. In this talk I will introduce a new approach to parameterising dark sector forces, underpinned by the Källén-Lehman representation, in which the effects of any general scalar fifth force are captured by a single...
I will describe how quantum scattering amplitudes can be employed to compute classical observables in gravity, especially in the context of gravitational wave Physics.
I will discuss my work with Andrea Banfi and Basem El-Menoufi on a new method to compute leading hadronisation corrections to two-jet event shapes in e+e- annihilation.
While overwhelming cosmological evidences point to the existence of Dark Matter (DM), only its gravitational interaction has been experimentally confirmed. Limitations on the most general mono-X DM signature at colliders motivate searches beyond this. This could manifest in the form of a weak multiplet/doublet DM via weak interactions giving multilepton plus missing energy final states that...
Dark Matter has been a significantly difficult problem to solve for decades. With possible production channels being very similar to common background processes, trying to isolate signals has become like looking for a needle in a cosmic haystack. Machine Learning advancements have caused an acceleration in physics computing and allowed us to use sophisticated techniques to more accurately and...
Machine learning has become an incredibly useful tool for studying string/particle theory. For the most part this research has used Supervised learning, where large data sets from physics and related mathematics have been used to train neural networks. Instead, this talk will address if techniques of reinforcement learning can be used to train a neural network to construct particle physics...
Over 6 decades of human activities in space resulted in thousands of tonnes of objects (with various sizes, shapes and materials) in Earth's orbit. There is a big challenge to detect, identify and track objects of smaller sizes (less than 10 cm) particularly in higher altitudes. This research is focusing on the possibility of using MKIDs (Microwave Kinetic Inductance Detectors) for developing...
In our project we wish to make use of the kappa formulation in order to avoid choosing specific 2HDMs in our searches. In doing so we can maximise the value of our search by considering points with the highest cross-sections w.r.t. to Kappas instead of w.r.t. coupling strengths taken from QFT rules (which are of course restricted to individual models by definition). I give a brief overview of...
Due to increasing precision of measurements at the Large Hadron Collider, high precision theoretical calculations are necessary for validation of the Standard Model of Elementary Particles predictions. In recent years, photon production processes have played an important role, especially in relation to Higgs boson phenomenology. In my research, I am using broad range of state-of-the-art...
First observed by the CDF and D0 collaborations at Fermilab in 1995, the top quark is the heaviest of the known elementary particles and has a mass of around 172.6 GeV. Its heavy mass leads to it having a short lifetime of 10-24 s, which is less than the time scale required for hadronization. Therefore, unlike other quarks, the top quark can pass on spin information to its decay particles. Its...
The possibility of generating low temperature non-thermal equilibrium atmospheric pressure plasmas in contact with liquid has led to a large number of biological and medical applications such as cancer treatment through plasma-induced apoptosis, dermatological applications, and wound healing. The major plasma reactive species mainly rely on the plasma temperature. Gas temperature can vary...
We studied phenomenological implications of numerous Lepton Flavour Non-Universal U(1)′ sub-models in the U(1) extended Supersysmmetric Model (UMSSM) In doing this, we started with anomaly cancellation criteria to generate a number of solutions in which the extra U(1) charges of the particles are treated as free parameters. We imposed existing bounds coming from colliders and astrophysical...
