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Machine Learning algorithms, such as Boosted Decisions Trees and Deep Neural Network, are widely used in High-Energy-Physics. The aim of this study is to apply Bayesian Optimization to tune the hyperparameters used in a machine learning…

Data Analysis, Statistics and Probability · Physics 2019-11-12 Oriel Kiss

We calculate the coherent bremsstrahlung process $\nu+{\cal N} \to {\cal N}+\nu+\gamma$ off a nucleus ${\cal N}$ with the aim of revealing the neutrino mass via the photon endpoint spectrum. Unfortunately, the large required power of a…

High Energy Physics - Phenomenology · Physics 2019-01-15 Alexander Millar , Georg Raffelt , Leo Stodolsky , Edoardo Vitagliano

Spectroscopy has played the key role in revealing, and thereby understanding, the structure of atoms and molecules. A central drive in this field is the pursuit of higher precision and accuracy so that ever more subtle effects might be…

A new method of extracting the low-lying energy spectrum from Monte Carlo estimates of Euclidean-space correlation functions which incorporates Bayesian inference is described and tested. The procedure fully exploits the information present…

High Energy Physics - Lattice · Physics 2009-11-07 Colin Morningstar

I describe a Bayesian method to account for measurement errors in linear regression of astronomical data. The method allows for heteroscedastic and possibly correlated measurement errors, and intrinsic scatter in the regression…

Astrophysics · Physics 2009-06-23 Brandon C. Kelly

Hyperspectral pansharpening has received much attention in recent years due to technological and methodological advances that open the door to new application scenarios. However, research on this topic is only now gaining momentum. The most…

Computer Vision and Pattern Recognition · Computer Science 2025-07-16 Giuseppe Guarino , Matteo Ciotola , Gemine Vivone , Giovanni Poggi , Giuseppe Scarpa

This paper presents the evaluation of the Radar Cross Section (RCS) of a metallic object by measurements accomplished within the diffuse-field environment produced by a Reverberation Chamber (RC). The method is based on the extraction of…

Signal Processing · Electrical Eng. & Systems 2020-04-16 Ariston Reis , Francois Sarrazin , Philippe Pouliguen , Jérôme Sol , Philippe Besnier , Elodie Richalot

Multifocal microscopy affords fast acquisition of microscopic 3D images. This is made possible using a multifocal grating optic, however this induces chromatic dispersion effects into the point spread function impacting image quality and…

Optics · Physics 2020-08-25 M. Junaid Amin , Sabine Petry , Joshua W. Shaevitz , Haw Yang

The rapid advancement of data science and artificial intelligence has affected physics in numerous ways, including the application of Bayesian inference, setting the stage for a revolution in research methodology. Our group has proposed…

Data Analysis, Statistics and Probability · Physics 2024-08-28 Shun Katakami , Shuhei Kashiwamura , Kenji Nagata , Masaichiro Mizumaki , Masato Okada

The synchrotron radiation is commonly known to be completely linearly polarized when observed in the orbital plane of the synchrotron motion. Under actual experimental conditions, however, the degree of polarization of the synchrotron…

Atomic Physics · Physics 2018-11-09 A. Surzhykov , V. A. Yerokhin , S. Fritzsche , A. V. Volotka

Breakjunction experiments allow investigating electronic and spintronic properties at the atomic and molecular scale. These experiments generate by their very nature broad and asymmetric distributions of the observables of interest, and…

Mesoscale and Nanoscale Physics · Physics 2023-09-20 Dylan Dyer , Oliver L. A. Monti

It is shown that several ratios of neutral to charged current cross sections are determined accurately, because the largest contribution is determined by isospin symmetry and the smaller terms are estimated from data or theoretical…

High Energy Physics - Phenomenology · Physics 2007-05-23 E. A. Paschos

A conventional method to determine beam parameters is using the profile measurements and converting them into the values of twiss parameters and beam emittance at a specified position. The beam information can be used to improve transverse…

Accelerator Physics · Physics 2015-07-14 Ji-Ho Jang , Hyo Jae Jang , Dong-O Jeon

Estimating nonlinear functionals of probability distributions from samples is a fundamental statistical problem. The "plug-in" estimator obtained by applying the target functional to the empirical distribution of samples is biased.…

Statistics Theory · Mathematics 2026-02-20 Florian Schäfer

We propose and examine the use of biphoton pairs, such as those created in parametric down conversion or four-wave mixing, to enhance the precision and the resolution of measuring optical displacements by position-sensitive detection. We…

Quantum Physics · Physics 2016-05-04 Kevin Lyons , Shengshi Pang , Paul G. Kwiat , Andrew N. Jordan

The analysis of gravitational wave interferometer data requires estimates for the noise covariance matrix. For stationary noise, this amounts to estimating the power spectrum. Classical methods such as Welch averaging are used in many…

General Relativity and Quantum Cosmology · Physics 2024-03-05 Toral Gupta , Neil Cornish

We describe a new optical diagnostic for determining the composition of gases by measuring the motion of atoms and molecules trapped within very deep optical lattices. This non-resonant method is analogous to conventional Raman scattering,…

Optics · Physics 2022-01-19 A. Gerakis , M. N. Shneider , P. F. Barker

X-ray Bragg coherent diffraction imaging has been demonstrated as a powerful three-dimensional (3D) microscopy approach for the investigation of sub-micrometer-scale crystalline particles. It is based on the measurement of a series of…

A possibility of further development of Synchrotron M\"{o}ssbauer Source (SMS) of $^{57}$Fe 14.4 keV radiation is considered. The principles and detailed description of the SMS device is given in Refs. Phys. Rev. A 84, 053851 (2011) G. V.…

Optics · Physics 2013-11-25 G. V. Smirnov

This review article considers some of the most common methods used in astronomy for regressing one quantity against another in order to estimate the model parameters or to predict an observationally expensive quantity using trends between…

Instrumentation and Methods for Astrophysics · Physics 2012-10-24 S. Andreon , M. A. Hurn