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Selective inference is a recent research topic that tries to perform valid inference after using the data to select a reasonable statistical model. We propose MAGIC, a new method for selective inference that is general, powerful and…

Statistics Theory · Mathematics 2016-07-12 Xiaoying Tian , Nan Bi , Jonathan Taylor

Major uncertainties in the fluorescence energy measurement come from the precision of various atmospheric transmission, air Cerenkov subtraction, light multiple-scattering and cloud corrections. The Auger program for atmospheric monitoring,…

Astrophysics · Physics 2019-08-14 Miguel Mostafa

MAGIC is a system of two 17-m diameter Imaging Atmospheric Cherenkov Telescopes, located at an altitude of 2200 m in Roque de los Muchachos on the Canary island of La Palma, exploring the gamma-ray sky above a few tens of GeV and up to tens…

High Energy Astrophysical Phenomena · Physics 2024-05-28 S. Mangano

In February 2007 the MAGIC Air Cherenkov Telescope for gamma ray astronomy was fully upgraded with a fast 2 GSamples/s digitization system. The upgraded readout system uses a novel fiber-optic multiplexing technique. It consists of 10-bit 2…

Ahead-of-time forecasting of the output power of power plants is essential for the stability of the electricity grid and ensuring uninterrupted service. However, forecasting renewable energy sources is difficult due to the chaotic behavior…

Computer Vision and Pattern Recognition · Computer Science 2023-10-27 Anas Al-lahham , Obaidah Theeb , Khaled Elalem , Tariq A. Alshawi , Saleh A. Alshebeili

The Kepler Input Catalog (KIC) provides reddening estimates for its stars, based on the assumption of a simple exponential dusty screen. This project focuses on evaluating and improving these reddening estimates for the KIC's giant stars,…

Solar and Stellar Astrophysics · Physics 2015-06-22 Gail Zasowski , Deokkeun An , Marc Pinsonneault

Depth perception is considered an invaluable source of information in the context of 3D mapping and various robotics applications. However, point cloud maps acquired using consumer-level light detection and ranging sensors (lidars) still…

Robotics · Computer Science 2024-05-24 Ruslan Agishev , Tomáš Pětříček , Karel Zimmermann

In this paper, we developed the solution of roadside LiDAR object detection using a combination of two unsupervised learning algorithms. The 3D point clouds are firstly converted into spherical coordinates and filled into the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Tianya Zhang , Peter J. Jin

In this letter, we present a novel method for automatic extrinsic calibration of high-resolution LiDARs and RGB cameras in targetless environments. Our approach does not require checkerboards but can achieve pixel-level accuracy by aligning…

Robotics · Computer Science 2021-06-28 Chongjian Yuan , Xiyuan Liu , Xiaoping Hong , Fu Zhang

The sustained increase of emissions of artificial light is causing a progressive brightening of the night sky in most of the world. This process represents a threat for the long-term sustainability of the scientific and educational activity…

Instrumentation and Methods for Astrophysics · Physics 2020-12-29 Fabio Falchi , Salvador Bará

The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation. Very short-term forecast of solar irradiance provides the MG with the capability of…

Image and Video Processing · Electrical Eng. & Systems 2020-12-08 Guillermo Terrén-Serrano , Manel Martínez-Ramón

In air traffic management (ATM) all necessary operations (tactical planing, sector configuration, required staffing, runway configuration, routing of approaching aircrafts) rely on accurate measurements and predictions of the current…

Computer Vision and Pattern Recognition · Computer Science 2014-04-28 Harald Ganster , Martina Uray , Sylwia Steginska , Gerardus Croonen , Rudolf Kaltenböck , Karin Hennermann

Data assimilation (DA) integrates observations with model forecasts to produce optimized atmospheric states, whose physical consistency is critical for stable weather forecasting and reliable climate research. Traditional Bayesian DA…

Atmospheric and Oceanic Physics · Physics 2026-03-05 Hang Fan , Lei Bai , Ben Fei , Yi Xiao , Kun Chen , Yubao Liu , Yongquan Qu , Fenghua Ling , Pierre Gentine

The Internal Linear Combination (ILC) method has been extensively used to extract the cosmic microwave background (CMB) anisotropy map from foreground contaminated multi-frequency maps. However, the performance of simple ILC is limited and…

Cosmology and Nongalactic Astrophysics · Physics 2021-09-01 Debabrata Adak

We present a method of atmospheric Cherenkov imaging which reconstructs the unique arrival direction of TeV gamma rays using a single telescope. The method is derived empirically and utilizes several features of gamma-ray induced air…

Astrophysics · Physics 2011-05-23 R. W. Lessard , J. H. Buckley , V. Connaughton , S. Le Bohec

A novel application of machine-learning (ML) based image processing algorithms is proposed to analyze an all-sky map (ASM) obtained using the Fermi Gamma-ray Space Telescope. An attempt was made to simulate a one-year ASM from a…

High Energy Astrophysical Phenomena · Physics 2021-06-02 Shogo Sato , Jun Kataoka , Soichiro Ito , Jun'ichi Kotoku , Masato Taki , Asuka Oyama , Takaya Toyoda , Yuki Nakamura , Marino Yamamoto

Integral field spectroscopy can map astronomical objects spatially and spectroscopically. Due to instrumental and atmospheric effects, it is common for integral field instruments to yield a sampling of the sky image that is both irregular…

Astrophysics of Galaxies · Physics 2020-01-08 Dou Liu , Michael R. Blanton , David R. Law

In this paper, we unleash the potential of the powerful monodepth model in camera-LiDAR calibration and propose CLAIM, a novel method of aligning data from the camera and LiDAR. Given the initial guess and pairs of images and LiDAR point…

Robotics · Computer Science 2026-03-18 Zhuo Zhang , Yonghui Liu , Meijie Zhang , Feiyang Tan , Yikang Ding

The MAGIC telescopes are an array of two imaging atmospheric Cherenkov telescopes (IACTs) studying the gamma ray sky at very high-energies (VHE; E>100 GeV). The observations are performed in stereoscopic mode, with both telescopes pointing…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 E. Prandini , G. Pedaletti , P. Da Vela , E. de Ona Wilhelmi , P. Colin , C. Fruck , M. Strzys , Ie. Vovk

A Monte-Carlo study to reconstruct energy and mass of cosmic rays with energies above 300 TeV using ground based measurements of the electromagnetic part of showers initiated in the atmosphere is presented. The shower properties determined…

Astrophysics · Physics 2007-05-23 A. Lindner
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