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Related papers: Quintessence Model Building

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We show that graphs, networks and other related discrete model systems carry a natural supersymmetric structure, which, apart from its conceptual importance as to possible physical applications, allows to derive a series of spectral…

Mathematical Physics · Physics 2011-07-19 Manfred Requardt

In the present paper we prove the compactness theorem with respect to partial structures and quasi-truth, using the technique of ultraproducts. Partial structures and quasi-truth are two notions developed within the partial structures…

Logic · Mathematics 2024-05-20 Rodolfo Cunha Carnier

In light of the recent observations of type Ia supernovae suggesting an accelerating expansion of the Universe, we wish in this paper to point out the possibility of using a complex scalar field as the quintessence to account for the…

Astrophysics · Physics 2009-11-06 Je-An Gu , W-Y. P. Hwang

Introductory lectures on the phenomenology of the minimal supersymmetric Standard Model. The emphasis is on general signatures for supersymmetry and on the motivation for constructing supersymmetric models. These lectures are intended for…

High Energy Physics - Phenomenology · Physics 2011-04-11 S. Dawson

Semiclassical methods are essential in analyzing quantum mechanical systems. Although they generally produce approximate results, relatively rare potentials exist for which these methods are exact. Such intriguing potentials serve as…

Quantum Physics · Physics 2024-08-30 Asim Gangopadhyaya , Jonathan Bougie , Constantin Rasinariu

Could the theories with hidden variables be employed for creation of a quantum computer? A particular scheme of quasiclassical model quantum computer structure is describe.

Quantum Physics · Physics 2007-05-23 Timur F. Kamalov

In naturalistic learning problems, a model's input contains a wide range of features, some useful for the task at hand, and others not. Of the useful features, which ones does the model use? Of the task-irrelevant features, which ones does…

Machine Learning · Computer Science 2020-10-26 Katherine L. Hermann , Andrew K. Lampinen

In this work we develop some categorical aspects of the double structure of a module.

Algebraic Geometry · Mathematics 2023-08-30 Thiago F. da Silva

Scalar-tensor theories have shown great potential in inducing tailored modifications compared to cosmic evolution in the $\Lambda$CDM model. We reconsider quintessence models in this work in the context of three driving potentials. We…

General Relativity and Quantum Cosmology · Physics 2025-04-11 L. K. Duchaniya , Jackson Levi Said , B. Mishra

I present a short review of models for transverse-momentum distributions and transversity, with a particular attention on general features common to many models. I compare some model results with experimental extractions. I discuss the…

High Energy Physics - Phenomenology · Physics 2022-03-02 Alessandro Bacchetta

In this paper we suggest that, under suitable conditions, supervised learning can provide the basis to formulate at the microscopic level quantitative questions on the phenotype structure of multicellular organisms. The problem of…

Molecular Networks · Quantitative Biology 2012-06-14 D. Napoletani , E. Petricoin , D. C. Struppa

A short review of the recent results and models of complex networks.

Condensed Matter · Physics 2007-05-23 Vito Latora , Massimo Marchiori

Quintessence models leading to a constant equation of state are studied in hyperbolic universes. General properties of the quintessence potentials V(phi) are discussed, and for some special cases also the exact analytic expressions for…

Astrophysics · Physics 2009-11-07 R. Aurich , F. Steiner

We provide a detailed discussion of the main theoretical and phenomenological challenges of quintessence model building in any numerically controlled regime of the moduli space of string theory. We argue that a working quintessence model…

High Energy Physics - Theory · Physics 2022-04-20 Michele Cicoli , Francesc Cunillera , Antonio Padilla , Francisco G. Pedro

Research on quality issues of business process models has recently begun to explore the process of creating process models by analyzing the modeler's interactions with the modeling environment. In this paper we aim to complement previous…

Software Engineering · Computer Science 2015-11-16 Jakob Pinggera , Marco Furtner , Markus Martini , Pierre Sachse , Katharina Reiter , Stefan Zugal , Barbara Weber

We show that some characteristics of multiply-imaged QSO systems are very model-independent and can be deduced accurately by simply scrutinizing the relative positions of images and galaxy-lens center. These include the time-ordering of the…

Astrophysics · Physics 2009-11-07 Prasenjit Saha , Liliya L. R. Williams

We introduce several methods for assessing sensitivity to unmeasured confounding in marginal structural models; importantly we allow treatments to be discrete or continuous, static or time-varying. We consider three sensitivity models: a…

Methodology · Statistics 2022-10-12 Matteo Bonvini , Edward Kennedy , Valerie Ventura , Larry Wasserman

In this chapter, we present a review of latent position models for networks. We review the recent literature in this area and illustrate the basic aspects and properties of this modeling framework. Through several illustrative examples we…

Methodology · Statistics 2023-04-07 Hardeep Kaur , Riccardo Rastelli , Nial Friel , Adrian E. Raftery

Many real-world networks are theorized to have core-periphery structure consisting of a densely-connected core and a loosely-connected periphery. While this phenomenon has been extensively studied in a range of scientific disciplines, it…

Methodology · Statistics 2023-02-21 Eric Yanchenko , Srijan Sengupta

In these lectures I describe some of the open questions in the standard model relating to the nature and origin of mass, forces and matter and discuss some of the speculative theoretical ideas put forth in this regard. Some of the topics…

High Energy Physics - Phenomenology · Physics 2007-05-23 Roberto Peccei
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