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您的检索式：作者名="Paul Demorest"
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| 1 | 用软件PSRCHIVE分析脉冲星数据(英文)显示文摘PSRCHIVE是一款开源的、面向对象的科学数据分析软件,是一套应用于脉冲星天文学研究的应用包。它通过一系列通用算法实现数据校准与积分、统计分析与模拟以及可视化处理过程,并在脉冲星测时、偏振测量、射频干扰、脉冲变化研究等方面得到了很好的应用。主要概述该软件包含的各种功能,特别是核心应用的各种界面。 | Willem van Straten Paul Demorest Stefan Oslowski | 2012 | 天文研究与技术2012，9，3： | 6 |
| 2 | 基于CUDA的相干消色散算法实现与测试显示文摘针对NVIDIA GeForce8800GTX与Intel Core2Quad Q6600运算平台,比较和测试了在CUFFTlibrary(version1.1)和FFTW(MKL version10.2)下GPU与CPU的运行响应差异,得出在快速傅里叶变换运算中,GPU的运算性能较之CPU有10倍以上的优势,从而进一步对相干消色散算法进行了移植,引入CHIRP函数,并在CUDA平台中进行性能测试,最后给出GPU相干消色散系统的性能测试。 | 刘东亮 Paul Demorest 南仁东 | 2010 | 科学技术与工程2010，10，8： | 2 |
| 3 | Statistical analyses for NANOGrav 5-year timing residuals显示文摘In pulsar timing, timing residuals are the differences between the observed times of arrival and predictions from the timing model. A comprehensive timing model will produce featureless residuals, which are presumably composed of dominating noise and weak physical effects excluded from the timing model(e.g. gravitational waves). In order to apply optimal statistical methods for detecting weak gravitational wave signals, we need to know the statistical properties of noise components in the residuals. In this paper we utilize a variety of non-parametric statistical tests to analyze the whiteness and Gaussianity of the North American Nanohertz Observatory for Gravitational Waves(NANOGrav) 5-year timing data, which are obtained from Arecibo Observatory and Green Bank Telescope from 2005 to2010. We find that most of the data are consistent with white noise; many data deviate from Gaussianity at different levels, nevertheless, removing outliers in some pulsars will mitigate the deviations. | Yan Wang James M. Cordes Fredrick A. Jenet Shami Chatterjee Paul B. Demorest Timothy Dolch Justin A. Ellis Michael T. Lam Dustin R. Madison Maura A. McLaughlin Delphine Perrodin Joanna Rankin Xavier Siemens Michele Vallisneri | 2017 | Research in Astronomy and Astrophysics2017，17，2： | 0 |
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