13,483 research outputs found
On the non-minimal character of the SMEFT
When integrating out unknown new physics sectors, what is the minimal
character of the Standard Model Effective Field Theory (SMEFT) that can result?
In this paper we focus on a particular aspect of this question: "How can one
obtain only one dimension six operator in the SMEFT from a consistent tree
level matching onto an unknown new physics sector?" We show why this requires
conditions on the ultraviolet field content that do not indicate a stand alone
ultraviolet complete scenario. Further, we demonstrate how a dynamical origin
of the ultraviolet scales assumed to exist in order to generate the masses of
the heavy states integrated out generically induces more operators. Therefore,
our analysis indicates that the infrared limit captured from a new sector in
consistent matchings induces multiple operators in the SMEFT quite generically.
Global data analyses in the SMEFT can and should accommodate this fact.Comment: 11pp, 2 fig. V2: PLB version and minor typos correcte
Spiking Neural P Systems with Addition/Subtraction Computing on Synapses
Spiking neural P systems (SN P systems, for short) are a class of distributed
and parallel computing models inspired from biological spiking neurons. In this paper,
we introduce a variant called SN P systems with addition/subtraction computing on
synapses (CSSN P systems). CSSN P systems are inspired and motivated by the shunting
inhibition of biological synapses, while incorporating ideas from dynamic graphs and
networks. We consider addition and subtraction operations on synapses, and prove that
CSSN P systems are computationally universal as number generators, under a normal
form (i.e. a simplifying set of restrictions)
Multidimensional Membership Mixture Models
We present the multidimensional membership mixture (M3) models where every
dimension of the membership represents an independent mixture model and each
data point is generated from the selected mixture components jointly. This is
helpful when the data has a certain shared structure. For example, three unique
means and three unique variances can effectively form a Gaussian mixture model
with nine components, while requiring only six parameters to fully describe it.
In this paper, we present three instantiations of M3 models (together with the
learning and inference algorithms): infinite, finite, and hybrid, depending on
whether the number of mixtures is fixed or not. They are built upon Dirichlet
process mixture models, latent Dirichlet allocation, and a combination
respectively. We then consider two applications: topic modeling and learning 3D
object arrangements. Our experiments show that our M3 models achieve better
performance using fewer topics than many classic topic models. We also observe
that topics from the different dimensions of M3 models are meaningful and
orthogonal to each other.Comment: 9 pages, 7 figure
The SMEFTsim package, theory and tools
We report codes for the Standard Model Effective Field Theory (SMEFT) in
FeynRules -- the SMEFTsim package. The codes enable theoretical predictions for
dimension six operator corrections to the Standard Model using numerical tools,
where predictions can be made based on either the electroweak input parameter
set or . All of the baryon and lepton number conserving
operators present in the SMEFT dimension six Lagrangian, defined in the Warsaw
basis, are included. A flavour symmetric version with possible
non-SM violating phases, a (linear) minimal flavour violating version
neglecting such phases, and the fully general flavour case are each
implemented. The SMEFTsim package allows global constraints to be determined on
the full Wilson coefficient space of the SMEFT. As the number of parameters
present is large, it is important to develop global analyses on reduced sets of
parameters minimizing any UV assumptions and relying on IR kinematics of
scattering events and symmetries. We simultaneously develop the theoretical
framework of a "W-Higgs-Z pole parameter" physics program that can be pursued
at the LHC using this approach and the SMEFTsim package. We illustrate this
methodology with several numerical examples interfacing SMEFTsim with
MadGraph5.
The SMEFTsim package can be downloaded at
https://feynrules.irmp.ucl.ac.be/wiki/SMEFTComment: Corrected numerics of section 10.5.1, references added, minor changes
and corrected typos. Version published in JHE
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