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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…

天体物理学 · 物理学 2009-06-23 Brandon C. Kelly

We develop a factor analysis for mixed continuous and binary observed variables. To this end, we utilized a recently developed multivariate probability distribution for mixed-type random variables, the Gaussian-Grassmann distribution. In…

统计方法学 · 统计学 2025-12-12 Takashi Arai

Cherenkov gamma telescope observes high energy gamma rays, taking advantage of the radiation emitted by charged particles produced inside the electromagnetic showers initiated by the gammas, and developing in the atmosphere. The detector…

计算机视觉与模式识别 · 计算机科学 2021-11-19 Emmanuel Dadzie , Kelvin Kwakye

In this paper we have introduced a novel method for gamma hadron separation in Imaging Atmospheric Cherenkov Telescopes (IACT) using Quantum Machine Learning. IACTs captures images of Extensive Air Showers (EAS) produced from very high…

天体物理仪器与方法 · 物理学 2022-11-01 Jashwanth S , Sudeep Ghosh , Neha Shah , Kavitha Yogaraj , Ankhi Roy

X-ray fluorescence holography (XFH) is a method for obtaining diffraction-limited images of the local atomic structure around a given type of emitter. The reconstructed wave-field represents a distorted image of the scatterer electron…

凝聚态物理 · 物理学 2009-09-29 S. Marchesini , C. S. Fadley , F. J. Garcia de Abajo

This paper is concerned with the performance optimisation of an stereoscopic array of imaging atmospheric Cherenkov telescopes (IACTs) as a function of their positioning on the ground. In this first work we are concerned primarily with the…

天体物理仪器与方法 · 物理学 2019-07-30 Bruno Fontes Souto , Ulisses Barres de Almeida

With the commissioning of the second MAGIC gamma-ray Cherenkov telescope situated close to MAGIC-I, the standard analysis package of the MAGIC collaboration, MARS, has been upgraded in order to perform the stereoscopic reconstruction of the…

天体物理仪器与方法 · 物理学 2019-08-13 A. Moralejo , M. Gaug , E. Carmona , P. Colin , C. Delgado , S. Lombardi , D. Mazin , V. Scalzotto , J. Sitarek , D. Tescaro

Forecasting future weather and climate is inherently difficult. Machine learning offers new approaches to increase the accuracy and computational efficiency of forecasts, but current methods are unable to accurately model uncertainty in…

机器学习 · 计算机科学 2023-02-02 Yusuke Hatanaka , Yannik Glaser , Geoff Galgon , Giuseppe Torri , Peter Sadowski

The throughout knowledge of a X-ray beam spectrum is mandatory to assess the quality of its source device. Since the techniques to directly measurement such spectra are expensive and laborious, the X-ray spectrum reconstruction using…

Ground based Cherenkov telescope systems measure astrophysical gamma-ray emission against a background of cosmic-ray induced air showers. The subtraction of this background is a major challenge for the extraction of spectra and morphology…

天体物理学 · 物理学 2008-11-26 D. Berge , S. Funk , J. Hinton

In this work, we extend the x-ray constrained wavefunction fitting approach, a key method in quantum crystallography for charge density reconstruction, to incorporate experimental observables beyond x-ray diffraction. Unlike traditional…

量子物理 · 物理学 2024-10-31 Stasis Chuchurka , Milaim Kas , Andrei Benediktovitch , Nina Rohringer

At present, the ground-based astronomy of very high energy (VHE) (E>100 GeV) gamma-rays experiences the challenging transition phase caused by the substantial upgrading of its observational instrumentation. Recently the HEGRA collaboration…

天体物理学 · 物理学 2008-11-26 Alexander K Konopelko

Accurate reconstruction of the electric field produced by extensive air showers is essential for the radio-detection technique, as the key parameters of interest of the primary particles that generated the showers are the amplitude,…

天体物理仪器与方法 · 物理学 2025-07-11 Kewen Zhang , Lukas Gülzow , Tim Huege , Ramesh Koirala , Pengxiong Ma , Matías Tueros , Xin Xu , Chao Zhang , Pengfei Zhang , Yi Zhang

Future weak lensing surveys potentially hold the highest statistical power for constraining cosmological parameters compared to other cosmological probes. The statistical power of a weak lensing survey is determined by the sky coverage, the…

宇宙学与河外天体物理 · 物理学 2017-12-05 C. Chang , M. Jarvis , B. Jain , S. M. Kahn , D. Kirkby , A. Connolly , S. Krughoff , E. Peng , J. R. Peterson

The growth rate of large-scale structure provides a powerful consistency test of the standard cosmological model and a probe of possible deviations from general relativity. We use a Fisher analysis to forecast constraints on the growth rate…

宇宙学与河外天体物理 · 物理学 2020-10-02 Jan-Albert Viljoen , José Fonseca , Roy Maartens

The limited knowledge of atmospheric parameters like humidity, pressure, temperature, and the index of refraction has been one of the important systematic uncertainties in reconstructing the depth of the shower maximum from the radio…

The point spread function (PSF) of a translation invariant imaging system is its impulse response, which cannot always be measured directly. This is the case in high energy X-ray radiography, and it must be estimated from images of…

数值分析 · 数学 2017-09-27 Kevin T. Joyce , Johnathan M. Bardsley , Aaron Luttman

This paper is based on the opening lecture given at the 2017 edition of the Evry Schatzman school on high-angular resolution imaging of stars and their direct environment. Two relevant observing techniques: long baseline interferometry and…

天体物理仪器与方法 · 物理学 2019-04-04 Frantz Martinache

Context: Gamma Ray Burst models predict the broadband spectral evolution and the temporal evolution of the energy flux. In contrast, standard data analysis tools and data repositories provide count-rate data, or use single flux conversion…

We study the optimal use of third order statistics in the analysis of weak lensing by large-scale structure. These higher order statistics have long been advocated as a powerful tool to break measured degeneracies between cosmological…

宇宙学与河外天体物理 · 物理学 2009-12-15 S. Vafaei , T. Lu , L. van Waerbeke , E. Semboloni , C. Heymans , U. L. Pen
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