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A major challenge in the field of nanosciences is the assembly of anisotropic nano objects into aligned structures. The way the objects are aligned determines the physical properties of the final material. In this work, we take a closer…

Materials Science · Physics 2016-04-19 Ulla Vainio

In this note a study of hadronic event shapes in QCD events at the Large Hadron Collider (LHC) is presented. Calorimetric jet momenta, determined by various jet clustering algorithms, are used as input for calculating various event-shape…

High Energy Physics - Phenomenology · Physics 2008-10-20 G. Dissertori , F. Moortgat , M. A. Weber

We recently suggested that the Scissors Mode (a collective excitation in which one system rotates with respect another one conserving its shape) can occur in crystals with axially symmetric atoms as a precession of these atoms around the…

Other Condensed Matter · Physics 2011-09-30 Keisuke Hatada , Kuniko Hayakawa , Fabrizio Palumbo

Skewed parton distributions contain new non-perturbative information about hadronic states. Thus, their extraction from experimental data is an important goal. Properties and models for skewed parton distributions as well as their…

High Energy Physics - Phenomenology · Physics 2007-05-23 D. Müller

As is well known that the distribution of the scattered radiation generated by an anisotropic scatterer usually lacks rotational symmetry about the direction of incidence due to the spatial anisotropy of the scatterer itself. Here we show…

Optics · Physics 2023-07-04 Yi Ding

This study is about the properties of the sets of objects associated in a structure resulting from multiple-processes involving chance as are materials whose texture is unordered and random. Being a paper scientist the author refers to the…

Materials Science · Physics 2015-12-29 Jacques Silvy

Standard parton distribution function sets do not have rigorously quantified uncertainties. In recent years it has become apparent that these uncertainties play an important role in the interpretation of hadron collider data. In this paper,…

High Energy Physics - Phenomenology · Physics 2009-10-31 Walter T. Giele , Stephane Keller

We introduce a new class of event shapes to characterize the jet-like structure of an event. Like traditional event shapes, our observables are infrared/collinear safe and involve a sum over all hadrons in an event, but like a jet…

High Energy Physics - Phenomenology · Physics 2015-06-17 Daniele Bertolini , Tucker Chan , Jesse Thaler

Euclidean random matrices appear in a broad class of physical problems involving disorder. The problem of determining their spectra can be mapped, using the replica method, into the study of a scalar field theory with an interaction of the…

Disordered Systems and Neural Networks · Physics 2009-10-31 A. Zee , Ian Affleck

We introduce bendlets, a shearlet-like system that is based on anisotropic scaling, translation, shearing, and bending of a compactly supported generator. With shearing being linear and bending quadratic in spatial coordinates, bendlets…

Functional Analysis · Mathematics 2017-05-16 Christian Lessig , Philipp Petersen , Martin Schäfer

The need for a consistent quantum evolution for black holes has led to proposals that their semiclassical description is modified not just near the singularity, but at horizon or larger scales. If such modifications extend beyond the…

High Energy Astrophysical Phenomena · Physics 2018-04-25 Steven B. Giddings , Dimitrios Psaltis

The data analysis carried out by the LIGO-Virgo collaboration on gravitational-wave events utilizes nested sampling to compute Bayesian evidences and posterior distributions for inferring the source properties of compact binaries. With poor…

General Relativity and Quantum Cosmology · Physics 2022-10-04 Talya Klinger , Michalis Agathos

An event-based maximum likelihood method for handling X-ray polarimetry data is extended to include the effects of background and nonuniform sampling of the possible position angle space. While nonuniform sampling in position angle space…

Instrumentation and Methods for Astrophysics · Physics 2024-02-06 Herman L. Marshall

Scattering from a non-smooth random field on the time domain is studied for plane waves that propagate simultaneously through the potential in variable angles. We first derive sufficient conditions for stochastic moments of the field to be…

Analysis of PDEs · Mathematics 2018-12-26 Pedro Caro , Tapio Helin , Antti Kujanpää , Matti Lassas

This article introduces definitions for a number of new event shapes and jet-rates in hadron-hadron dijet production. They are designed so as to be measurable in practice at the Tevatron and the LHC, and to be global so that they can be…

High Energy Physics - Phenomenology · Physics 2008-11-26 Andrea Banfi , Gavin P. Salam , Giulia Zanderighi

We show that the leading power corrections to the event shape distributions can be resummed into nonperturbative shape functions that do not depend on the center-of-mass energy and measure the energy flow in the final state. In the case of…

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

We establish properties of a new type of fractal which has partial self similarity at all scales. For any collection of iterated functions systems with an associated probability distribution and any positive integer V there is a…

Dynamical Systems · Mathematics 2008-02-04 Michael Barnsley , John E. Hutchinson , Örjan Stenflo

Light scattering in random media is usually considered within the framework of the three-dimensional Anderson universality class, with modifications for the vector nature of electromagnetic waves. We propose that the linear dispersiveness…

Disordered Systems and Neural Networks · Physics 2025-08-05 Tobias Micklitz , Alexander Altland

The existing event classification (EC) work primarily focuseson the traditional supervised learning setting in which models are unableto extract event mentions of new/unseen event types. Few-shot learninghas not been investigated in this…

Computation and Language · Computer Science 2020-06-22 Viet Dac Lai , Franck Dernoncourt , Thien Huu Nguyen

A convolutional neural network is used to align an orbital angular momentum sorter in a transmission electron microscope. The method is demonstrated using simulations and experimentally. As a result of its accuracy and speed, it offers the…

Instrumentation and Detectors · Physics 2021-01-13 E. Rotunno , A. H. Tavabi , P. Rosi , S. Frabboni , P. Tiemeijer , R. E. Dunin-Borkowski , V. Grillo
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