Zobrazeno 1 - 10
of 2 515
pro vyhledávání: '"LOPEZ, DAVID"'
In this work we present a unified model for the cosmological dark sector. The theory is based on a simple minimally coupled scalar field whose action only contains a canonical kinetic term and is invariant under transverse diffeomorphisms (TDiff). Th
Externí odkaz:
http://arxiv.org/abs/2311.16836
The enforcement of the unimodularity condition in a gravity theory by means of a Lagrange multiplier leads, in general, to inconsistencies upon quantization. This is so, in particular, when the classic linear splitting of the metric between the backg
Externí odkaz:
http://arxiv.org/abs/2309.16559
Autor:
Le, Brian T., Auer, Katherine M., Lopez, David A., Shum, Justin P., Suarsana, Brian, Suh, Ga-Young Kelly, Hedde, Per Niklas, Ahrar, Siavash
Microscopes are essential for biomechanics and hydrodynamical investigation of small aquatic organisms. We report a DIY microscope (GLUBscope) that enables the visualization of organisms from two orthogonal imaging planes (top and side views). Compar
Externí odkaz:
http://arxiv.org/abs/2307.13079
The rapidly evolving communication landscape, with the advent of 6G technology, brings new challenges to the design and operation of wireless networks. One of the key concerns is the energy efficiency of the Radio Access Network (RAN), as the exponen
Externí odkaz:
http://arxiv.org/abs/2307.00969
The Aharonov-Bohm effect is a genuine quantum effect typically characterized by a measurable phase shift in the wave function for a charged particle that encircles an electromagnetic field located in a region inaccessible to the mentioned particle. H
Externí odkaz:
http://arxiv.org/abs/2211.13199
In this manuscript we study the Wehrl entropy of entangled oscillators. This semiclassical entropy associated with the phase-space description of quantum mechanics can be used for formulating uncertainty relations and for a quantification of entangle
Externí odkaz:
http://arxiv.org/abs/2210.08253
Autor:
Mallah, Ranwa Al, Lopez, David
Federated Learning (FL) is a machine learning technique that addresses the privacy challenges in terms of access rights of local datasets by enabling the training of a model across nodes holding their data samples locally. To achieve decentralized fe
Externí odkaz:
http://arxiv.org/abs/2210.02873
We consider real hypersurfaces $M$ in complex projective space equipped with both the Levi-Civita and generalized Tanaka-Webster connections. For any nonnull constant $k$ and any symmetric tensor field of type (1,1) $L$ on $M$ we can define two tenso
Externí odkaz:
http://arxiv.org/abs/2208.11897
In this work, we introduce a Variational Multi-Scale (VMS) method for the numerical approximation of parabolic problems, where sub-grid scales are approximated from the eigenpairs of associated elliptic operator. The abstract method is particularized
Externí odkaz:
http://arxiv.org/abs/2207.10449