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Related papers: Recent developments in small-x resummation

200 papers

We present a brief account of the developments in the description of light meson resonances using unitarized extensions of the Chiral Perturbation Theory series, both in energy and temperature. In particular, we describe how these methods…

High Energy Physics - Phenomenology · Physics 2009-11-10 J. R. Pelaez

I review recent progress in analysing deep inelastic scattering structure functions in global analyses. The new ingredients are new data and attempts to incorporate heavy quarks consistently. A new way of including the resummation of large…

High Energy Physics - Phenomenology · Physics 2009-10-30 R. G. Roberts

Modern microscopy techniques are developing towards high-resolution imaging, and tremendous progress has been made in past decades; however, the imaging of individual biological macromolecules at atomic resolution using short-wavelength…

Optics · Physics 2022-01-12 Tatiana Latychevskaia

This paper considers the sparse recovery with shuffled labels, i.e., $\by = \bPitrue \bX \bbetatrue + \bw$, where $\by \in \RR^n$, $\bPi\in \RR^{n\times n}$, $\bX\in \RR^{n\times p}$, $\bbetatrue\in \RR^p$, $\bw \in \RR^n$ denote the…

Information Theory · Computer Science 2023-03-21 Hang Zhang , Ping Li

Higher twist corrections to the structure function F_2 at small x are studied for the case of a flat initial condition for the twist-two QCD evolution in the next-to-leading order approximation. We present an analytical parameterization of…

High Energy Physics - Phenomenology · Physics 2008-11-26 Alexei Yu. Illarionov , Anatoly V. Kotikov , Gonzalo Parente

This paper is a detailed account of the recent progress in understanding the statistical properties of complex eigenvalues of random non-Hermitian matrices reported earlier in our two short communications: Physics Letters A v.226, 46 (1997)…

chao-dyn · Physics 2007-05-23 Yan V. Fyodorov , Boris Khoruzhenko , H. -J. Sommers

In this review there is first a survey of the HERA data. Then we discuss the theory response including querying the consistency of the data, compositeness, contact terms, and leptoquarks including as a special case the R symmetry violating…

High Energy Physics - Phenomenology · Physics 2009-10-30 Paul H. Frampton

Unsupervised summarization is a powerful technique that enables training summarizing models without requiring labeled datasets. This survey covers different recent techniques and models used for unsupervised summarization. We cover…

Computation and Language · Computer Science 2024-09-27 Mohammad Khosravani , Amine Trabelsi

A recent laser interferometry experiment [Phys. Rev. Lett., Vol. 88, 10401 (2002)] registered a non-detection of a frequency shift that amounts to a fractional change in the speed of light $\delta c/c \approx (4.8\pm5.3)\times10^{-12}$. We…

General Physics · Physics 2007-05-23 Sanjay M Wagh

We discuss some aspects of forward jet production as a signature for small $x$ physics at THERA energies.

High Energy Physics - Phenomenology · Physics 2007-05-23 Hannes Jung , Leif Lonnblad

We propose an improvement of the splitting functions at small x which overcomes the apparent problems encountered by the BFKL approach. We obtain a stable expansion for the x-evolution function chi(M) near M=0 by including in it a sequence…

High Energy Physics - Phenomenology · Physics 2008-11-26 Guido Altarelli , Richard D. Ball , Stefano Forte

We introduce a new parametrization for the parton distribution functions (PDFs) designed to be flexible in the small-x region. We implement it in the xFitter open-source PDF fitting tool, and compare it to the default xFitter…

High Energy Physics - Phenomenology · Physics 2019-10-25 Marco Bonvini , Francesco Giuli

Small area estimation models are typically based on the normality assumption of response variables. More recently, attention has been drawn to the transformation of the original variables to justify the assumption of normality. Variance…

Methodology · Statistics 2025-07-08 Masayo Y. Hirose , Malay Ghosh , Mayumi Oka

Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give a concise review on recent representative methods in…

Machine Learning · Computer Science 2020-05-25 Xiaoxu Li , Zhuo Sun , Jing-Hao Xue , Zhanyu Ma

Compressive Sensing, as an emerging technique in signal processing is reviewed in this paper together with its common applications. As an alternative to the traditional signal sampling, Compressive Sensing allows a new acquisition strategy…

Information Theory · Computer Science 2017-05-16 Andjela Draganic , Irena Orovic , Srdjan Stankovic

These notes are a summary of our efforts to answer the question in the title. Our answer is in the affirmative as: (i) HERA data indicate a large value of the gluon structure function; (ii) no contradictions with the asymptotic predictions…

High Energy Physics - Phenomenology · Physics 2008-11-26 E. Gotsman , E. Levin , M. Lublinsky , U. Maor , E. Naftali , K. Tuchin

The talk contains a brief introduction string theory, followed by a discussion of some of the recent developments.

High Energy Physics - Lattice · Physics 2009-09-15 Ashoke Sen

Recent developments in calculations of the light hadron spectrum are reviewed. Particular emphasis is placed on discussion of to what extent the quenched spectrum agrees with experiment. Recent progress, both for quenched and full QCD, in…

High Energy Physics - Lattice · Physics 2009-10-30 T. Yoshié

This talk discusses the relative impact of running-coupling and other higher-order corrections on the small-x gluon-gluon splitting function. Comments are made on similarities with some aspects of the Balitsky-Kovchegov equation, which…

High Energy Physics - Phenomenology · Physics 2007-05-23 G. P. Salam

The theory of evolutionary computation for discrete search spaces has made significant progress in the last ten years. This survey summarizes some of the most important recent results in this research area. It discusses fine-grained models…

Neural and Evolutionary Computing · Computer Science 2021-11-01 Benjamin Doerr , Frank Neumann