Results 1 to 10 of about 3,447 (214)
Particle identification methods in high-energy physics [PDF]
Abstract This paper deals with two major particle identification methods: d E /d x and Cherenkov detection. In the first method, we systematically compare existing d E /d x data with various predictions available in the literature, such as the Particle Data Group recommendation, and judge the overall consistency.
J Va`Vra
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Insight-HXMT observations of jet-like corona in a black hole X-ray binary MAXI J1820+070
Evolution of accretion disk and corona during outbursts in black hole binary systems is still unclear. Here, the authors show spectral analysis of MAXI J1820+070 and propose a scenario of a dynamical corona to explain the evolution of the reflection ...
Bei You +125 more
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Studies in theoretical high energy particle physics [PDF]
This report discusses String models and field theories in High Energy Physics. Symmetry principles are discussed as well as elementary particle interactions. (LSP)
Aratyn, H. +3 more
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We demonstrated extra-cavity gain narrowing pre-compensating in a regenerative amplifier with a multi-order triple-wavelength waveplate (WP). With a 1.117 mm thickness quartz waveplate, which was placed on the stretcher, the gain narrowing effect was ...
Baozhen Zhao +7 more
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The Design of the Emission Layer for Electron Multipliers
The electron multipliers gain is closely related to the secondary electron emission coefficient (SEE) of the emission layer materials. The SEE is closely related to the thickness of the emission layer.
Yuman Wang +7 more
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The Design of the AZO Conductive Layer on Microchannel Plate
When the resistivity of the AZO conductive layer is within the MCP resistance requirement, the interval of the Zn content is very narrow (70–73%) and difficult to control.
Yuman Wang +7 more
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Correction to: The Design of the AZO Conductive Layer on Microchannel Plate
An amendment to this paper has been published and can be accessed via the original article.
Yuman Wang +7 more
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Particle Convolution for High Energy Physics
We introduce the Particle Convolution Network (PCN), a new type of equivariant neural network layer suitable for many tasks in jet physics. The particle convolution layer can be viewed as an extension of Deep Sets and Energy Flow network architectures, in which the permutation-invariant operator is promoted to a group convolution.
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Improved cross polarized wave generation with an aperture
A cross polarized wave (XPW) generation experiment with double BaF2 crystals in air was demonstrated with 120 µJ input pulse. A circular aperture was used to truncate the near field profile of the input beam and remove the outer part of the beam, and ...
Baozhen Zhao +6 more
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Role of magnetic interactions in neutron stars
In this work, we present a calculation of the non-Fermi liquid correction to the specific heat of magnetized degenerate quark matter present at the core of the neutron star.
Adhya Souvik Priyam, Roy Pradip K.
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