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The nuclear reactions in a plasma system with energy distribution deviated from Maxwellian are proved to have some unique characteristics including those in their product energy spectrum. Based on this, a new nuclear diagnostic scheme for…

Plasma Physics · Physics 2022-11-21 K. Li , Z. Y. Liu , A. D. Liu , B. Qiao

When no arterial input function is available, quantification of dynamic PET images requires a previous step devoted to the extraction of a reference time-activity curve (TAC). Factor analysis is often applied for this purpose. This paper…

Image and Video Processing · Electrical Eng. & Systems 2020-11-23 Yanna Cruz Cavalcanti , Thomas Oberlin , Vinicius Ferraris , Nicolas Dobigeon , Maria Ribeiro , Clovis Tauber

Two-level system (TLS) loss is typically limiting the coherence of superconducting quantum circuits. The loss induced by TLS defects is nonlinear, resulting in quality factors with a strong dependence on the circulating microwave power. We…

An ultrarelativistic electron beam passing through an intense laser pulse emits radiation around its direction of propagation into a characteristic angular profile. Here we show that measurement of the variances of this profile in the…

Plasma Physics · Physics 2020-07-01 T. G. Blackburn , E. Gerstmayr , S. P. D. Mangles , M. Marklund

Specific features of nonlinear interference processes at quantum transitions in near- and fully-resonant optically-dense Doppler-broadened medium are studied. The feasibility of overcoming of the fundamental limitation on a…

Quantum Physics · Physics 2009-11-11 A. K. Popov , S. A. Myslivets , Thomas F. George

We present a numerically efficient density-matrix model applicable to midinfrared quantum cascade lasers. The model is based on a Markovian master equation for the density matrix that includes in-plane dynamics, preserves positivity of the…

Mesoscale and Nanoscale Physics · Physics 2020-11-24 S. Soleimanikahnoj , O. Jonasson , F. Karimi , I. Knezevic

We present an analytical model for plasmonic enhancement of metal photoluminescence (MPL) in metal nanostructures with characteristic size below the diffraction limit. In such systems, the primary mechanism of MPL enhancement is excitation…

Mesoscale and Nanoscale Physics · Physics 2023-08-01 Tigran V. Shahbazyan

We report on the properties of a non-conventional stochastic photonic source. We first describe the principle of nonlinear intensity filtering by using a modified Mach-Zehnder interferometer. The latter alters the characteristics of an…

Optics · Physics 2022-03-14 Denis Marion , Jean-Christophe Delagnes , Guillaume Duchateau

Laser-induced breakdown spectroscopy (LIBS) show enhancement in its signal, when the laser-induced plasma is confined/decelerated under the effect of an external steady magnetic field or in a small cavity. An enhancement in LIBS signal has…

Plasma Physics · Physics 2014-07-01 V. N. Rai , Jagdish P. Singh

In this work, we identify and characterize intra-pulse intensity noise shaping by saturable absorbers applied in mode-locked lasers and ultra-low noise nonlinear fiber amplifiers. Reshaped intra-pulse intensity noise distributions are shown…

Optics · Physics 2023-03-28 Marvin Edelmann , Mikhail Pergament , Franz X. Kärtner

We address the problem of compressed sensing using a deep generative prior model and consider both linear and learned nonlinear sensing mechanisms, where the nonlinear one involves either a fully connected neural network or a convolutional…

Machine Learning · Computer Science 2021-05-26 Vinayak Killedar , Praveen Kumar Pokala , Chandra Sekhar Seelamantula

In this work, we extend and analyze the nonperturbative Maxwell-Schr\"odinger-Plasma (MASP) model. This model was proposed to describe the high order optical nonlinearities, and the low density free electron plasma generated by a laser…

Optics · Physics 2017-11-01 M. Lytova , E. Lorin , A. Bandrauk

In this work a method based on self-mixing interferometry (SMI) is presented for probing the concentration of plasma plumes induced by multi-pulse laser ablation. An analytical model is developed to interpret the single-arm interferometric…

Plasma Physics · Physics 2021-12-10 Simone Donadello , Valentina Finazzi , Ali Gökhan Demir , Barbara Previtali

Spectral methods have greatly advanced the estimation of latent variable models, generating a sequence of novel and efficient algorithms with strong theoretical guarantees. However, current spectral algorithms are largely restricted to…

Machine Learning · Computer Science 2013-12-10 Le Song , Animashree Anandkumar , Bo Dai , Bo Xie

A linear multi-factor model is one of the most important tools in equity portfolio management. The linear multi-factor models are widely used because they can be easily interpreted. However, financial markets are not linear and their…

Machine Learning · Computer Science 2019-02-01 Kei Nakagawa , Tomoki Ito , Masaya Abe , Kiyoshi Izumi

In many applications, particularly in the natural sciences, the available high-dimensional set of features may contain variables that are not correlated with the response under consideration. Such irrelevant features can, in certain cases,…

Statistics Theory · Mathematics 2025-07-28 Gianluca Finocchio , Tatyana Krivobokova

The nonlinear absorption of laser radiation of relativistic intensities in the underdense plasma by a mechanism of stimulated bremsstrahlung of electrons on the ions/nuclei is investigated in the low frequency approximation. Coefficient of…

Atomic Physics · Physics 2013-05-03 H. K. Avetissian , A. G. Ghazaryan , G. F. Mkrtchian

The intensity-dependent resonance-like enhancement phenomenon in high-order above-threshold ionization spectrum is a typical quantum effect for atoms or molecules in the intense laser field, which has not been well understood. The…

Atomic Physics · Physics 2019-06-28 Long Xu , Libin Fu

The research paper addresses linear decomposition of time series of non-additive metrics that allows for the identification and interpretation of contributing factors (input features) of variance. Non-additive metrics, such as ratios, are…

Machine Learning · Computer Science 2022-04-15 Alex Glushkovsky

We consider the problems of variable selection and estimation in nonparametric additive regression models for high-dimensional data. In recent years, several methods have been proposed to model nonlinear relationships when the number of…

Methodology · Statistics 2013-10-07 Linn Cecilie Bergersen , Kukatharmini Tharmaratnam , Ingrid K. Glad