暗物质粒子
- 网络Dark matter particles
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非重子冷暗物质粒子的观测及其进展暗物质的实验探测器
Progress in the Detection of Cold Dark Matter Particles
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文章对暗物质粒子的候选者和宇宙中暗能量的研究现状作一简单介绍。
A brief review is given of the candidates for dark matter particles and the current understanding of dark energy in the universe .
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鉴别暗物质粒子WIMP的人工神经网络方法
The neural network method for identifying dark matter WIMP
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光子、暗物质粒子、普朗克粒子与狄拉克大数
Photon , Particle of Dark Matter , Planck Particle and Dirac Barge Number
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暗物质粒子湮没生成的反质子谱
Antiproton Spectrum Produced by Dark Matter Annihilation
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他们计算了这些假想的暗物质粒子在爆炸中释放的能量能给星球提供多少热量。
Then they calculated how much energy the explosions from colliding these hypothetical dark matter particles would contribute to the planet 's overall warmth .
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然而,较轻的“温”暗物质粒子只会形成大型物质块,因此可以说明超出这个最低质量限度时就不存在星系。
However , a lighter ," warm " dark-matter particle would make only big clumps and therefore might explain the lack of galaxies at the low-mass end .
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讨论了光子、中微子(或暗物质粒子)的静质量,从不同的观点和方法对黑洞质量、核子质量、光子质量、暗物质粒子质量和普朗克粒子质量作了估算。
The rest mass of photon and neutrino was discussed using different view points and methods . The masses of black hole , nucleon , photon , particle of dark matter and Planck particle were estimated .
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建立了一套用于暗物质WIMPs粒子直接探测研究的低本底、低能量阈高纯锗探测器,探测器质量为5g,能量阈可以达到100eV。
Status of ULE-HPGe Detector Experiment for Dark Matter Search An HPGe detector has been constructed for the direct detection of Weakly Interactive Massive Particles ( WIMPs ) .
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第一章首先介绍了宇宙学中暗物质被观测到存在的证据,及粒子物理中的暗物质粒子候选者。
Firstly , we introduced the observational background of dark matter , and the particle candidates of particle physics .
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理解暗物质所产生的这些信号需要我们了解暗物质的微观粒子的性质,同时也需要了解暗物质在星系或星系团中的分布形式等宏观性质。
To study the signals , not only the particle nature of the dark matter should be well known , but the astrophysical nature of dark matter should also be well known , such as the profile of dark matter in the galaxies or in the clusters of the galaxies .