Remarks on the minimal vectorial standard model

Download

index.pdf

Date

2009-07-01

Author

Anber, Mohamed M.
Aydemir, Ufuk
Donoghue, John F.
Pais, Preema

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

106
views

28
downloads

We explore the available parameter space of the minimal vectorial standard model. In this theory, the gauge currents are initially vectorial but the Higgs sector produces chiral mass eigenstates, leading to a set of heavy right-handed mirror particles. We describe the phenomenology of the residual parameter space and suggest that the model will be readily tested at the LHC.

URI

https://hdl.handle.net/11511/101006

Journal

PHYSICAL REVIEW D

DOI

https://doi.org/10.1103/physrevd.80.015012

Collections

Department of Physics, Article

Suggestions

OpenMETU
Core

Constructions and bounds on linear error-block codes LİNG, San; Özbudak, Ferruh (Springer Science and Business Media LLC, 2007-12-01) We obtain new bounds on the parameters and we give new constructions of linear error-block codes. We obtain a Gilbert-Varshamov type construction. Using our bounds and constructions we obtain some infinite families of optimal linear error-block codes over F-2. We also study the asymptotic of linear error-block codes. We define the real valued function alpha (q,m,a) (delta), which is an analog of the important real valued function alpha (q) (delta) in the asymptotic theory of classical linear error-correctin...
Explicit maximal and minimal curves over finite fields of odd characteristics Özbudak, Ferruh (2016-11-01) In this work we present explicit classes of maximal and minimal Artin-Schreier type curves over finite fields having odd characteristics. Our results include the proof of Conjecture 5.9 given in [1] as a very special subcase. We use some techniques developed in [2], which were not used in [1].
How to model mutually exclusive events based on independent causal pathways in Bayesian network models Fenton, Norman; Neil, Martin; Lagnado, David; Marsh, William; Yet, Barbaros; Constantinou, Anthony (2016-12-01) We show that existing Bayesian network (BN) modelling techniques cannot capture the correct intuitive reasoning in the important case when a set of mutually exclusive events need to be modelled as separate nodes instead of states of a single node. A previously proposed 'solution', which introduces a simple constraint node that enforces mutual exclusivity, fails to preserve the prior probabilities of the events, while other proposed solutions involve major changes to the original model. We provide a novel an...
A note on the importance of mass conservation in long-time stability of Navier-Stokes simulations using finite elements Belenli, Mine Akbas; Rebholz, Leo G.; Tone, Florentina (2015-07-01) We prove a long-time stability result for the finite element in space, linear extrapolated Crank-Nicolson in time discretization of the Navier-Stokes equations (NSE). From this result and a numerical experiment, we show the importance of discrete mass conservation in long-time simulations of the NSE. That is, we show that using elements that strongly enforce mass conservation can provide significantly more accurate solutions over long times, compared to those that enforce it weakly.
ON PARAMETRIC LOWER BOUNDS FOR DISCRETE-TIME FILTERING Fritsche, Carsten; Orguner, Umut; Gustafsson, Fredrik (2016-03-25) Parametric Cramer-Rao lower bounds (CRLBs) are given for discrete-time systems with non-zero process noise. Recursive expressions for the conditional bias and mean-square-error (MSE) (given a specific state sequence) are obtained for Kalman filter estimating the states of a linear Gaussian system. It is discussed that Kalman filter is conditionally biased with a non-zero process noise realization in the given state sequence. Recursive parametric CRLBs are obtained for biased estimators for linear state esti...

Citation Formats

M. M. Anber, U. Aydemir, J. F. Donoghue, and P. Pais, “Remarks on the minimal vectorial standard model,” PHYSICAL REVIEW D, vol. 80, no. 1, pp. 0–0, 2009, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/101006.