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We review known and discuss new signatures of high-intensity Compton scattering assuming a scenario where a high-power laser is brought into collision with an electron beam. At high intensities one expects to see a substantial red-shift of…

High Energy Physics - Phenomenology · Physics 2010-04-21 Chris Harvey , Thomas Heinzl , Anton Ilderton

We compare the diffuse H$\alpha$ map of our Galaxy with the FUV (1370-1710\AA) continuum map. The H$\alpha$ intensity correlates well with the FUV intensity. The H$\alpha$/FUV intensity ratio increases in general with the H$\alpha$…

Astrophysics of Galaxies · Physics 2015-06-03 Kwang-Il Seon , Adolf Witt , Il-Joong Kim , Jong-Ho Shinn , Jerry Edelstein , Kyoung-Wook Min , Wonyong Han

Low-light images are not conducive to human observation and computer vision algorithms due to their low visibility. Although many image enhancement techniques have been proposed to solve this problem, existing methods inevitably introduce…

Computer Vision and Pattern Recognition · Computer Science 2017-11-03 Zhenqiang Ying , Ge Li , Wen Gao

We explore the dynamics of neutrinos in a vacuum dominated cosmology. First we show that such a geometry will induce a phase change in the eigenstates of a massive neutrino and we calculate the phase change. We also calculate the delay in…

Astrophysics · Physics 2007-05-23 Manasse R. Mbonye

Magnetized neutron stars power at least some ultra-luminous X-ray sources. The accretion flow in these cases is interrupted at the magnetospheric radius and then reaches the surface of a neutron star following magnetic field lines.…

High Energy Astrophysical Phenomena · Physics 2017-01-25 Alexander A. Mushtukov , Valery F. Suleimanov , Sergey S. Tsygankov , Adam Ingram

In any imaging survey, measuring accurately the astronomical background light is crucial to obtain good photometry. This paper introduces BKGnet, a deep neural network to predict the background and its associated error. BKGnet has been…

Raman scattering by H$_2$ in Neptune's atmosphere has significant effects on its reflectivity for $\lambda <$ 0.5 $\mu$m, producing baseline decreases of $\sim$ 20% in a clear atmosphere and $\sim$ 10% in a hazy atmosphere. Here we present…

Earth and Planetary Astrophysics · Physics 2015-04-13 Lawrence Sromovsky

Low-energy neutrinos from the cosmic background are captured by objects in the sky that contain material susceptible of single beta decay. Neutrons, which compose most of a neutron star, capture low-energy neutrinos from the cosmic neutrino…

Cosmology and Nongalactic Astrophysics · Physics 2025-03-12 Beatriz Hernandez-Molinero , Raul Jimenez , Carlos Peña Garay

In dense neutrino backgrounds present in supernovae and in the early Universe, neutrino oscillations may exhibit complex collective phenomena, such as synchronized oscillations, bipolar oscillations and spectral splits and swaps. In this…

High Energy Physics - Phenomenology · Physics 2017-03-02 Evgeny Akhmedov , Joachim Kopp , Manfred Lindner

We present a theory of dark resonances in a fluorescence of a three-level atom gas interacting with a polychromatic field of a frequency shifted feedback (FSF) laser. We show that conditions for the resonance observation are optimal when…

The parity non-conservation effect in diffractive charged current DIS is quantified in terms of color dipole sizes of left-handed and right-handed electroweak bosons. We identify the origin and estimate the strength of the left-right…

High Energy Physics - Phenomenology · Physics 2009-11-11 V. R. Zoller

Theoretical challenges to understand Dark Matter and Dark Energy suggest the existence of low-mass and weakly coupling fields in the universe. The quasi-parallel photon-photon collision system (QPS) can provide chances to probe the resonant…

High Energy Physics - Phenomenology · Physics 2012-11-13 Kensuke Homma

Neutrino-induced recoil events may constitute a background to direct dark matter searches, particularly for those detectors that strive to reach the ton-scale and beyond. This paper discusses the expected neutrino-induced background…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-18 Louis E. Strigari

Scene recovery from real-world images degraded by scattering effects, such as haze, sandstorm, underwater, and remote sensing conditions, remains a fundamental yet challenging problem in computer vision. Existing methods either rely on a…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Yun Liu , Tao Li , Guanghui Yue , Wenqi Ren , Cosmin Ancuti , Weisi Lin

Increasing the light scattering efficiency of nanostructured materials is becoming an active field of research both in fundamental science and commercial applications. In this context, the challenge is to use inexpensive organic materials…

The determination of density profiles with knowing the phase information of complex reflection coefficient for neutron specularly reflected from a film, yields unique results. Recently it has been shown that the phase can be determined by…

Materials Science · Physics 2007-05-23 S. F. Masoudi , A. Pazirandeh , G. R. Jafari

Deep neural networks (DNNs) have made remarkable strides in various computer vision tasks, including image classification, segmentation, and object detection. However, recent research has revealed a vulnerability in advanced DNNs when faced…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Chengyin Hu , Weiwen Shi , Chao Li , Jialiang Sun , Donghua Wang , Junqi Wu , Guijian Tang

Using light to control the movement of nano-structured objects is a great challenge. This challenge involves fields like optical tweezing, Casimir forces, integrated optics, bio-physics, and many others. Photonic "robots" could have…

Optics · Physics 2015-07-24 Silvia Gentilini , Claudio Conti

Low-scale supersymmetry breaking in string motivated theories implies the presence of O(100) TeV scale moduli, which generically lead to a significant modification of the history of the universe prior to Big Bang Nucleosynthesis. Such an…

High Energy Physics - Phenomenology · Physics 2015-05-30 Gordon Kane , Jing Shao , Scott Watson , Hai-Bo Yu

Although low-light image enhancement has achieved great stride based on deep enhancement models, most of them mainly stress on enhancement performance via an elaborated black-box network and rarely explore the physical significance of…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Huake Wang , Xingsong Hou , Chengcu Liu , Kaibing Zhang , Xiangyong Cao , Xueming Qian
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