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相关论文: A novel LIDAR-based Atmospheric Calibration Method…

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MAGIC is currently the world's largest single dish ground based imaging atmospheric Cherenkov telescope. During the first year of operation, more than 20 extragalactic sources have been observed and several of them detected. Here we present…

天体物理学 · 物理学 2014-10-13 D. Mazin

Atmospheric retrieval studies are essential to determine the science requirements for future generation missions, such as the Large Interferometer for Exoplanets (LIFE). The use of heterogeneous absorption cross-sections might be the cause…

We present INDOOR-LIDAR, a comprehensive hybrid dataset of indoor 3D LiDAR point clouds designed to advance research in robot perception. Existing indoor LiDAR datasets often suffer from limited scale, inconsistent annotation formats, and…

机器人学 · 计算机科学 2025-12-16 Haichuan Li , Changda Tian , Panos Trahanias , Tomi Westerlund

An efficient sky data reconstruction derives from a precise characterization of the observing instrument. Here we describe the reconstruction of performances of a single-pixel 4-band photometer installed at MITO (Millimeter and Infrared…

天体物理学 · 物理学 2009-11-07 G. Savini , A. Orlando , E. S. Battistelli , M. De Petris , L. Lamagna , G. Luzzi , E. Palladino

This paper presents a large-scale strip adjustment method for LiDAR mobile mapping data, yielding highly precise maps. It uses several concepts to achieve scalability. First, an efficient graph-based pre-segmentation is used, which directly…

分布式、并行与集群计算 · 计算机科学 2016-09-27 Claus Brenner

To understand the physical conditions of various gaseous systems, plasma diagnostics must be performed properly. To that end, it is equally important to have extinction correction performed properly. This means that the physical conditions…

天体物理仪器与方法 · 物理学 2022-05-27 Toshiya Ueta

In autonomous driving scenarios, the collected LiDAR point clouds can be challenged by occlusion and long-range sparsity, limiting the perception of autonomous driving systems. Scene completion methods can infer the missing parts of…

计算机视觉与模式识别 · 计算机科学 2026-02-03 Andrea Matteazzi , Dietmar Tutsch

With the ability of providing direct and accurate enough range measurements, light detection and ranging (LiDAR) is playing an essential role in localization and detection for autonomous vehicles. Since single LiDAR suffers from hardware…

机器人学 · 计算机科学 2022-01-14 Yusheng Wang , Yidong Lou , Weiwei Song , Huan Yu , Zhiyong Tu

We present a harmonic model for the data analysis of an all-sky cosmic microwave background survey, such as Planck, where the survey is obtained through ring-scans of the sky. In this model, resampling and pixelisation of the data are…

In this paper we describe the different software and hardware elements of a mini-telescope for the detection of cosmic rays and gamma-rays using the Cherenkov light emitted by their induced particle showers in the atmosphere. We estimate…

天体物理仪器与方法 · 物理学 2020-06-17 S. Njoh Ekoume , C. Alispach , F. Cadoux , V. Coco , D. della Volpe , Y. Favre , M. Heller , T. Montaruli , A. Nagai , A. Neronov , Y. Renier , I. Troyano

Several methods exist to convert near-infrared (NIR) stellar observations into extinction maps. We present a new method based on NIR multiband observations. The method uses a discretised version of the distribution of intrinsic stellar…

星系天体物理 · 物理学 2016-01-13 M. Juvela , J. Montillaud

We show that the errors due to atmospheric refraction are present in the magnitudes determined with the Difference Images Analysis method. In case of single, unblended stars the size of the effect agrees with the theoretical prediction. But…

天体物理学 · 物理学 2007-05-23 A. Kruszewski , I. Semeniuk

We introduce SCAR, a method for long-term auto-calibration refinement of aerial visual-inertial systems that exploits georeferenced satellite imagery as a persistent global reference. SCAR estimates both intrinsic and extrinsic parameters…

计算机视觉与模式识别 · 计算机科学 2026-02-19 Henry Hölzemann , Michael Schleiss

In this paper we present a new method for ground based gamma ray astronomy based only on atmospheric Cherenkov light flux analysis. The Cherenkov light flux densities in extensive air showers (EAS) initiated by different primaries are…

天体物理学 · 物理学 2009-11-10 A. Mishev , S. Mavrodiev , J. Stamenov

The next generation of imaging atmospheric Cherenkov telescopes will be composed of hundreds of telescopes working together to attempt to unveil some fundamental physics of the high-energy Universe. Along with the scientific data, a large…

天体物理仪器与方法 · 物理学 2022-12-26 Federico Incardona , Alessandro Costa , Kevin Munari

Adaptive optics (AO) is a technology in modern ground-based optical telescopes to compensate the wavefront distortions caused by atmospheric turbulence. One method that allows to retrieve information about the atmosphere from telescope data…

天体物理仪器与方法 · 物理学 2018-04-04 Tapio Helin , Stefan Kindermann , Jonatan Lehtonen , Ronny Ramlau

Improvements in the precision of the astrophysical flux scale are needed to answer fundamental scientific questions ranging from cosmology to stellar physics. The unexpected discovery that the expansion of the universe is accelerating was…

MAGIC is a system of two Cherenkov telescopes located in the Canary island of La Palma. A key part of MAGIC Fundamental Physics program is the search for indirect signals of Dark Matter (DM) from different sources. In the Milky Way, DM…

Airglow emission lines, which dominate the optical-to-near-IR sky radiation, show strong, line-dependent variability on various time scales. Therefore, the subtraction of the sky background in the affected wavelength regime becomes a…

天体物理仪器与方法 · 物理学 2014-07-09 S. Noll , W. Kausch , S. Kimeswenger , M. Barden , A. M. Jones , A. Modigliani , C. Szyszka , J. Taylor

Many synoptic surveys are observing large parts of the sky multiple times. The resulting lightcurves provide a wonderful window to the dynamic nature of the universe. However, there are many significant challenges in analyzing these light…

应用统计 · 统计学 2016-02-04 Julian Faraway , Ashish Mahabal , Jiayang Sun , Xiaofeng Wang , Yi , Wang , Lingsong Zhang