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The concept of a neutron Hybrid Spectrometer (HYSPEC) combines the time-of-flight spectroscopy with the focusing Bragg optics and incorporates a polarized beam option. Here we describe the polarization analysis scheme proposed for HYSPEC…

Other Condensed Matter · Physics 2010-07-28 I. Zaliznyak , V. Ghosh , S. M. Shapiro , L. Passell

Investigating the polarization of weak bosons provides an important probe of the scalar and gauge sector of the Standard Model. This can be done in the Higgs decay to four leptons, whose Standard-Model leading-order amplitude enables to…

High Energy Physics - Phenomenology · Physics 2022-01-17 Ezio Maina , Giovanni Pelliccioli

Phenomenological aspects of simple dark matter models are studied. We discuss ways to discriminate the dark matter models in future experiments. We find that the measurements of the branching fraction of the Higgs boson into two photons and…

High Energy Physics - Phenomenology · Physics 2017-06-23 Tomohiro Abe , Ryuichiro Kitano , Ryosuke Sato

Recently, a measurement of the vector-boson scattering process with same-sign W bosons has been reported by the CMS collaboration. Hence it is of prime importance to have precise predictions with next-to-leading order (NLO) accuracy. In…

High Energy Physics - Phenomenology · Physics 2017-08-03 Benedikt Biedermann , Ansgar Denner , Mathieu Pellen

Electromagnetic wave propagation through complex inhomogeneous walls introduces significant distortions to through-wall radar signatures. Estimation of wall thickness, dielectric, and conductivity profiles may enable wall effects to be…

Signal Processing · Electrical Eng. & Systems 2026-02-13 Kainat Yasmeen , Shobha Sundar Ram

Long-lived particles (LLPs) provide an unambiguous signal for physics beyond the Standard Model (BSM). They have a distinct detector signature, with decay lengths corresponding to lifetimes of around nanoseconds or longer. Lepton colliders…

High Energy Physics - Experiment · Physics 2025-11-18 Yulei Zhang , Cen Mo , Xiang Chen , Bingzhi Li , Hongyang Chen , Jifeng Hu , Liang Li

We demonstrate that the multipoles associated with the density matrix are truly observable quantities that can be unambiguously determined from intensity moments. Given their correct transformation properties, these multipoles are the…

In the 2030s, a new era of gravitational-wave (GW) observations will dawn as multiple space-based GW detectors, such as the Laser Interferometer Space Antenna, Taiji and TianQin, open the millihertz window for GW astronomy. These detectors…

Instrumentation and Methods for Astrophysics · Physics 2023-09-07 Wen-Hong Ruan , He Wang , Chang Liu , Zong-Kuan Guo

We discuss the polarization properties and first-order diffraction efficiencies of volume phase holographic (VPH) transmission gratings, which can be exploited to improve the throughput of modern spectrographs. The wavelength of peak…

Astrophysics · Physics 2011-03-10 I. K. Baldry , J. Bland-Hawthorn , J. G. Robertson

Compton backscattering polarimetry provides a fast and accurate method to measure the polarization of an electron beam in a storage ring. Since the method is non-destructive, the polarization of the electron beam can be monitored during…

Instrumentation and Detectors · Physics 2007-05-23 I. Passchier , D. W. Higinbotham , C. W. de Jager , B. E. Norum , N. H. Papadakis , N. P. Vodinas

We propose a self-supervised deep learning-based decoding scheme that enables one-shot decoding of polar codes. In the proposed scheme, rather than using the information bit vectors as labels for training the neural network (NN) through…

Information Theory · Computer Science 2023-08-01 Huiying Song , Yihao Luo , Yuma Fukuzawa

This chapter presents deep neural network based methods for enhancing the sensitivity of X-ray telescopic observations with imaging polarimeters. Deep neural networks can be used to determine photoelectron emission directions, photon…

Instrumentation and Methods for Astrophysics · Physics 2023-04-05 Abel L. Peirson

We explore machine learning methods to detect gravitational waves (GW) from binary black hole (BBH) mergers using deep learning (DL) algorithms. The DL networks are trained with gravitational waveforms obtained from BBH mergers with…

The training complexity of deep learning-based channel decoders scales exponentially with the codebook size and therefore with the number of information bits. Thus, neural network decoding (NND) is currently only feasible for very short…

Information Theory · Computer Science 2017-02-23 Sebastian Cammerer , Tobias Gruber , Jakob Hoydis , Stephan ten Brink

Partition of unity networks (POU-Nets) have been shown capable of realizing algebraic convergence rates for regression and solution of PDEs, but require empirical tuning of training parameters. We enrich POU-Nets with a Gaussian noise model…

Machine Learning · Computer Science 2021-07-08 Nat Trask , Mamikon Gulian , Andy Huang , Kookjin Lee

In this work we study the inverse quantum scattering via deep learning regression, which is implemented via a Multilayer Perceptron. A step-by-step method is provided in order to obtain the potential parameters. A circular boundary-wall…

Computational Physics · Physics 2023-07-20 A. C. Maioli

Polar codes have drawn much attention and been adopted in 5G New Radio (NR) due to their capacity-achieving performance. Recently, as the emerging deep learning (DL) technique has breakthrough achievements in many fields, neural network…

Signal Processing · Electrical Eng. & Systems 2019-02-05 Chieh-Fang Teng , Chen-Hsi Wu , Kuan-Shiuan Ho , An-Yeu Wu

Polarization in ferroelectric domains arises from atomic-scale structural variations that govern macroscopic functionalities. The interfaces between these domains known as domain walls host distinct physical responses, making their…

The degree of polarization in L dwarfs of spectral types L0 to L6 resulting from dust scattering in a rotation-induced oblate photosphere is calculated. Assuming that forsterite is the main condensate, the atmospheric dust distribution is…

Astrophysics · Physics 2009-11-10 Sujan Sengupta , Sun Kwok

Associated production of the Higgs boson with a top-antitop pair is a key channel to gather further information on the nature of the newly discovered boson at the LHC. Experimentally, however, its observation is very challenging due to the…

High Energy Physics - Phenomenology · Physics 2015-06-15 Pierre Artoisenet , Priscila de Aquino , Fabio Maltoni , Olivier Mattelaer