English
Related papers

Related papers: Saturation model of DIS : an update

200 papers

Extensions of linear models are very commonly used in the analysis of biological data. Whereas goodness of fit measures such as the coefficient of determination (R2) or the adjusted R2 are well established for linear models, it is not…

Methodology · Statistics 2018-05-04 Hans-Peter Piepho

We present an update of the Standard Model fit to electroweak precision data. We include newest experimental results on the top quark mass, the W mass and width, and the Higgs boson mass bounds from LEP, Tevatron and the LHC. We also…

High Energy Physics - Phenomenology · Physics 2022-07-25 M. Baak , M. Goebel , J. Haller , A. Hoecker , D. Kennedy , K. Moenig , M. Schott , J. Stelzer

The data processing inequality (DPI) is a scalar inequality satisfied by distinguishability measures on density matrices. For some distinguishability measures, saturation of the scalar DPI implies an operator equation relating the arguments…

Quantum Physics · Physics 2022-02-22 Sam Cree , Jonathan Sorce

The W-mass measurements from LEP and the results of a global fit of the Standard Model parameters to the electroweak data are presented. Comprehensive studies of experimental systematic effects allowed a measurement of the W mass with an…

High Energy Physics - Experiment · Physics 2007-05-23 S. Roth

We develop a collection of methods for adjusting the predictions of quantile regression to ensure coverage. Our methods are model agnostic and can be used to correct for high-dimensional overfitting bias with only minimal assumptions.…

Methodology · Statistics 2025-11-10 Isaac Gibbs , John J. Cherian , Emmanuel J. Candès

In this paper we confront the CGC/saturation approach of Ref.~\cite{CLMS} with the experimental combined HERA data and obtain its parameters. The model includes two features that are in accordance with our theoretical knowledge of deep…

High Energy Physics - Phenomenology · Physics 2024-12-12 Michael Roa , José Garrido , Miguel Guevara

We present results using a new scaling variable, xi_w in modeling electron- and neutrino-nucleon scattering cross sections with effective leading order PDFs.Our model uses all inelastic charged lepton F_2 data (SLAC/BCDMS/NMC/HERA), and…

High Energy Physics - Phenomenology · Physics 2015-06-25 Arie Bodek , Un-ki Yang

Long-term groundwater level (GWL) measurement is vital for effective policymaking and recharge estimation using annual maxima and minima. However, current methods prioritize short-term predictions and lack multi-year applicability, limiting…

This paper addresses the challenge of efficiently capturing a high proportion of true signals for subsequent data analyses when sample sizes are relatively limited with respect to data dimension. We propose the signal missing rate as a new…

Methodology · Statistics 2018-08-30 X. Jessie Jeng , Teng Zhang , Jung-Ying Tzeng

We have recently extended our ongoing survey of the local white dwarf population, effectively doubling the sample volume. Based upon the latest distance determinations, Holberg et al. (2016) estimated the present 20 pc and 25 pc samples…

Solar and Stellar Astrophysics · Physics 2016-10-24 Terry D. Oswalt , Jay Holberg , Edward Sion

We present a model for inclusive charged lepton-nucleon and (anti)neutrino-nucleon cross sections at momentum transfer squared, $Q^2$, $\sim1 {\rm GeV}^2$. We quantify the impact of existing low-Q charged-lepton deep-inelastic scattering…

High Energy Physics - Phenomenology · Physics 2014-11-18 S. Alekhin , S. A. Kulagin , R. Petti

I present a modification of the Colour Dipole Model for DIS as implemented in Ariadne to better describe events at high Q^2.

High Energy Physics - Phenomenology · Physics 2007-05-23 Leif Lonnblad

Here we outline some new results for the GHWS model which points to a discretization of parameter space into well differentiated collective dynamic states. We argue this can lead to basic processes in parameter space, starting with minimum…

Disordered Systems and Neural Networks · Physics 2025-08-04 Leonardo Reyes

Using the covariant formalism developed in a companion paper (paper I), we derive observational constraint on the Brans-Dicke model in a flat FLRW universe with cosmological constant and cold dark matter. The CMB observations we use include…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-18 Fengquan Wu , Xuelei Chen

A goodness-of-fit test for the fitting of a parametric model to data obtained from a detector with finite resolution and limited acceptance is proposed. The parameters of the model are found by minimization of a statistic that is used for…

Data Analysis, Statistics and Probability · Physics 2015-03-17 N. D. Gagunashvili

We derive efficient and reliable goal-oriented error estimations, and devise adaptive mesh procedures for the finite element method that are based on the localization of a posteriori estimates. In our previous work [SIAM J. Sci. Comput.,…

Numerical Analysis · Mathematics 2020-03-23 Bernhard Endtmayer , Ulrich Langer , Thomas Wick

In this paper we develop a new data-driven closure approximation method to compute the statistical properties of quantities of interest in high-dimensional stochastic dynamical systems. The new method relies on estimating conditional…

Dynamical Systems · Mathematics 2018-09-26 Catherine Brennan , Daniele Venturi

We present an updated analysis of the first-order phase transition associated with symmetry breaking in the early Universe in a classically scale-invariant model extended with a new SU(2) gauge group. Including recent developments in…

Cosmology and Nongalactic Astrophysics · Physics 2023-03-03 Maciej Kierkla , Alexandros Karam , Bogumila Swiezewska

We present a global $\chi^2$ analysis of electroweak data, including fermion masses and mixing angles, in SO(10) SUSY GUTs. Just as precision electroweak data is used to test the Standard Model, the well determined Standard Model parameters…

High Energy Physics - Phenomenology · Physics 2009-10-28 Tomas Blazek , Marcela Carena , Stuart Raby , Carlos Wagner

Score matching is a vital tool for learning the distribution of data with applications across many areas including diffusion processes, energy based modelling, and graphical model estimation. Despite all these applications, little work…

Machine Learning · Statistics 2025-06-03 Josh Givens , Song Liu , Henry W J Reeve
‹ Prev 1 4 5 6 7 8 10 Next ›