98,890 research outputs found
NLO electroweak corrections in general scalar singlet models
If no new physics signals are found, in the coming years, at the Large Hadron
Collider Run-2, an increase in precision of the Higgs couplings measurements
will shift the dicussion to the effects of higher order corrections. In Beyond
the Standard Model (BSM) theories this may become the only tool to probe new
physics. Extensions of the Standard Model (SM) with several scalar singlets may
address several of its problems, namely to explain dark matter, the
matter-antimatter asymmetry, or to improve the stability of the SM up to the
Planck scale. In this work we propose a general framework to calculate one
loop-corrections in BSM models with an arbitrary number of scalar singlets. We
then apply our method to a real and to a complex scalar singlet models. We
assess the importance of the one-loop radiative corrections first by computing
them for a tree level mixing sum constraint, and then for the main Higgs
production process . We conclude that, for the currently allowed
parameter space of these models, the corrections can be at most a few percent.
Notably, a non-zero correction can survive when dark matter is present, in the
SM-like limit of the Higgs couplings to other SM particles.Comment: 35 pages, 3 figure
The CKM parameters in the SMEFT
The extraction of the Cabibbo-Kobayashi-Maskawa (CKM) matrix from flavour
observables can be affected by physics beyond the Standard Model (SM). We
provide a general roadmap to take this into account, which we apply to the case
of the Standard Model Effective Field Theory (SMEFT). We choose a set of four
input observables that determine the four Wolfenstein parameters, and discuss
how the effects of dimension-six operators can be included in their definition.
We provide numerical values and confidence intervals for the CKM parameters,
and compare them with the results of CKM fits obtained in the SM context. Our
approach allows one to perform general SMEFT analyses in a consistent fashion,
independently of any assumptions about the way new physics affects flavour
observables. We discuss a few examples illustrating how our approach can be
implemented in practice.Comment: 36 pages. Version published in JHE
Non-Gaussianity in Loop Quantum Cosmology
We extend the phenomenology of loop quantum cosmology (LQC) to second order
in perturbations. Our motivation is twofold. On the one hand, since LQC
predicts a cosmic bounce that takes place at the Planck scale, the second order
contributions could be large enough to jeopardize the validity of the
perturbative expansion on which previous results rest. On the other hand, the
upper bounds on primordial non-Gaussianity obtained by the Planck Collaboration
are expected to play a significant role on explorations of the LQC
phenomenology. We find that the bounce in LQC produces an enhancement of
non-Gaussianity of several orders of magnitude, on length scales that were
larger than the curvature radius at the bounce. Nonetheless, we find that one
can still rely on the perturbative expansion to make predictions about
primordial perturbations. We discuss the consequences of our results for LQC
and its predictions for the cosmic microwave background.Comment: Minor updates: current version matches the accepted PRD manuscrip
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Verification of successive convexification algorithm
In this report, I describe a technique which allows a non-convex optimal control problem to be expressed and solved in a convex manner. I then verify the resulting solution to ensure its physical feasibility and its optimality. The original, non-convex problem is the fuel-optimal powered landing problem with aerodynamic drag. The non-convexities present in this problem include mass depletion dynamics, aerodynamic drag, and free final time. Through the use of lossless convexification and successive convexification, this problem can be formulated as a series of iteratively solved convex problems that requires only a guess of a final time of flight. The solution’s physical feasibility is verified through a nonlinear simulation built in Simulink, while its optimality is verified through the general nonlinear optimal control software GPOPS-II.Aerospace Engineerin
Minimization procedure of experimental tests for calibration purposes, within HVAC&R energy efficiency framework
Simulation models and predictive tools need to be fast, accurate and robust at the same time. The models that have to provide numerical solutions under transient conditions for a long period of time need to be simple with the aim of minimizing the time respond, without losing the accuracy. Thus, previous experimental data and a calibration methodology are necessary to assure this objective, both are strictly necessary to reproduce the behaviour with accuracy expected. Consequently, even accurate information (e.g. look-up tables) for HVAC&R components (e.g. heat exchangers, fan/compressor, auxiliary elements, etc.) is known and all coupling system is developed, the minimization of experimental tests for calibration purposed based scattered data interpolation is now an important aspect, which looks for reducing the quantity of experiments necessary to assure the accuracy expected from an optimization point of view. The present work shows an optimization procedure based on test number minimization according detailed error comparison against existing previous data. Illustrative results for a specific component are presented highlighting test number reduction without losing accuracy.This project has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 755517.Peer ReviewedPostprint (published version
Treatment of complex interfaces for Maxwell's equations with continuous coefficients using the correction function method
We propose a high-order FDTD scheme based on the correction function method
(CFM) to treat interfaces with complex geometry without increasing the
complexity of the numerical approach for constant coefficients. Correction
functions are modeled by a system of PDEs based on Maxwell's equations with
interface conditions. To be able to compute approximations of correction
functions, a functional that is a square measure of the error associated with
the correction functions' system of PDEs is minimized in a divergence-free
discrete functional space. Afterward, approximations of correction functions
are used to correct a FDTD scheme in the vicinity of an interface where it is
needed. We perform a perturbation analysis on the correction functions' system
of PDEs. The discrete divergence constraint and the consistency of resulting
schemes are studied. Numerical experiments are performed for problems with
different geometries of the interface. A second-order convergence is obtained
for a second-order FDTD scheme corrected using the CFM. High-order convergence
is obtained with a corrected fourth-order FDTD scheme. The discontinuities
within solutions are accurately captured without spurious oscillations.Comment: 29 pages, 12 figures, modification of Acknowledgment
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