1,803 research outputs found
Vectorlike Particles, and Yukawa Unification in F-theory inspired
We explore the low energy implications of an F-theory inspired model
whose breaking yields, in addition to the MSSM gauge symmetry, a gauge
boson associated with a symmetry broken at the TeV scale. The zero mode
spectrum of the effective low energy theory is derived from the decomposition
of the and representations of and we parametrise
their multiplicities in terms of a minimum number of flux parameters. We
perform a two-loop renormalisation group analysis of the gauge and Yukawa
couplings of the effective theory model and estimate lower bounds on the new
vectorlike particles predicted in the model. We compute the third generation
Yukawa couplings in an F-theory context assuming an point of enhancement
and express our results in terms of the local flux densities associated with
the gauge symmetry breaking. We find that their values are compatible with the
ones computed by the renormalisation group equations, and we identify points in
the parameter space of the flux densities where the Yukawa couplings
unify.Comment: 16 pages, revised version to appear in PL
750 GeV Diphoton excess from in F-theory GUTs
We interpret the 750-760 GeV diphoton resonance as one or more of the
spinless components of a singlet superfield arising from the three
27-dimensional representations of in F-theory, which also contain three
copies of colour-triplet charge vector-like fermions
and inert Higgs doublets to which the singlets may couple. For definiteness we
consider (without change) a model that was proposed some time ago which
contains such states, as well as bulk exotics, leading to gauge coupling
unification. The smoking gun prediction of the model is the existence of other
similar spinless resonances, possibly close in mass to 750-760 GeV, decaying
into diphotons, as well as the three families of vector-like fermions
.Comment: 15 pages, 5 figures, minor corrections, reference
High performance graph analysis on parallel architectures
PhD ThesisOver the last decade pharmacology has been developing computational
methods to enhance drug development and testing. A computational
method called network pharmacology uses graph analysis
tools to determine protein target sets that can lead on better targeted
drugs for diseases as Cancer. One promising area of network-based
pharmacology is the detection of protein groups that can produce
better e ects if they are targeted together by drugs. However, the
e cient prediction of such protein combinations is still a bottleneck
in the area of computational biology.
The computational burden of the algorithms used by such protein
prediction strategies to characterise the importance of such proteins
consists an additional challenge for the eld of network pharmacology.
Such computationally expensive graph algorithms as the all pairs
shortest path (APSP) computation can a ect the overall drug discovery
process as needed network analysis results cannot be given on
time. An ideal solution for these highly intensive computations could
be the use of super-computing. However, graph algorithms have datadriven
computation dictated by the structure of the graph and this
can lead to low compute capacity utilisation with execution times
dominated by memory latency.
Therefore, this thesis seeks optimised solutions for the real-world
graph problems of critical node detection and e ectiveness characterisation
emerged from the collaboration with a pioneer company in the
eld of network pharmacology as part of a Knowledge Transfer Partnership
(KTP) / Secondment (KTS). In particular, we examine how
genetic algorithms could bene t the prediction of protein complexes
where their removal could produce a more e ective 'druggable' impact.
Furthermore, we investigate how the problem of all pairs shortest
path (APSP) computation can be bene ted by the use of emerging
parallel hardware architectures as GPU- and FPGA- desktop-based
accelerators.
In particular, we address the problem of critical node detection with
the development of a heuristic search method. It is based on a genetic
algorithm that computes optimised node combinations where their removal
causes greater impact than common impact analysis strategies.
Furthermore, we design a general pattern for parallel network analysis
on multi-core architectures that considers graph's embedded properties.
It is a divide and conquer approach that decomposes a graph
into smaller subgraphs based on its strongly connected components
and computes the all pairs shortest paths concurrently on GPU. Furthermore,
we use linear algebra to design an APSP approach based
on the BFS algorithm. We use algebraic expressions to transform the
problem of path computation to multiple independent matrix-vector
multiplications that are executed concurrently on FPGA. Finally, we
analyse how the optimised solutions of perturbation analysis and parallel
graph processing provided in this thesis will impact the drug
discovery process.This research was part of a Knowledge Transfer Partnership (KTP)
and Knowledge Transfer Secondment (KTS) between e-therapeutics
PLC and Newcastle University. It was supported as a collaborative
project by e-therapeutics PLC and Technology Strategy boar
MSSM from F-theory SU(5) with Klein Monodromy
We revisit a class of SUSY GUT models which arise in the context of
the spectral cover with Klein Group monodromy . We show that
matter parities can be realised via new geometric symmetries respected by
the spectral cover. We discuss a particular example of this kind, where the low
energy effective theory below the GUT scale is just the MSSM with no exotics
and standard matter parity, extended by the seesaw mechanism with two
right-handed neutrinos
R-Parity violation in F-Theory
We discuss R-parity violation (RPV) in semi-local and local F-theory
constructions. We first present a detailed analysis of all possible
combinations of RPV operators arising from semi-local F-theory spectral cover
constructions, assuming an GUT. We provide a classification of all
possible allowed combinations of RPV operators originating from operators of
the form , including the effect of fluxes
with global restrictions. We then relax the global constraints and perform
explicit computations of the bottom/tau and RPV Yukawa couplings, at an
local point of enhancement in the presence of general fluxes subject
only to local flux restrictions. We compare our results to the experimental
limits on each allowed RPV operator, and show that operators such as ,
and may be present separately within current bounds,
possibly on the edge of observability, suggesting lepton number violation or
neutron-antineutron oscillations could constrain F-theory models.Comment: 40 pages, 13 figures, minor correction
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