hasasia 1.2.3

功能

计算以下用于脉冲星信号分析的结构

• 脉冲星传输函数

• 逆噪声加权传输函数

• 单个脉冲星的灵敏度曲线。

• 脉冲星计时阵列灵敏度曲线作为特征应变、应变灵敏度或能量密度。

• 幂律积分灵敏度曲线。

• 脉冲星计时阵列的灵敏度天图

入门

hasasia 位于Python包索引中，因此开始使用的方法是使用 pip 安装

pip install hasasia

脉冲星和频谱对象用于构建完整的PTA的灵敏度曲线。频谱对象包含了构建脉冲星所需的所有信息。

import hasasia.senstivity as hsen

toas = np.arange(54378,59765,22) #Choose a range of times-of-arrival
toaerrs = 1e-7*np.ones_like(toas) #Set all errors to 100 ns
psr = hsen.Pulsar(toas=toas,toaerrs=toaerrs)
spec = hsen.Spectrum(psr)

出版物

这项工作发表在一篇 出版物 中，目前已在arXiv发布。如果您想引用本工作中使用的公理，请使用以下引用

@article{Hazboun:2019vhv,
            author = {{Hazboun}, Jeffrey S. and {Romano}, Joseph D. and {Smith}, Tristan L.},
             title = "{Realistic sensitivity curves for pulsar timing arrays}",
           journal = {\prd},
          keywords = {General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics},
              year = 2019,
             month = nov,
            volume = {100},
            number = {10},
               eid = {104028},
             pages = {104028},
               doi = {10.1103/PhysRevD.100.104028},
       archivePrefix = {arXiv},
            eprint = {1907.04341},
       primaryClass = {gr-qc},
            adsurl = {https://ui.adsabs.harvard.edu/abs/2019PhRvD.100j4028H},
           adsnote = {Provided by the SAO/NASA Astrophysics Data System}
         }

否则，如果您想引用Python包，请使用以下引用

@article{Hazboun2019Hasasia,
               journal      = {Journal of Open Source Software},
               doi          = {10.21105/joss.01775},
               issn         = {2475-9066},
               number       = {42},
               publisher    = {The Open Journal},
         title        = {Hasasia: A Python package for Pulsar Timing Array Sensitivity Curves},
         url          = {http://dx.doi.org/10.21105/joss.01775},
               volume       = {4},
               author       = {Hazboun, Jeffrey and Romano, Joseph and Smith, Tristan},
               pages        = {1775},
               date         = {2019-10-23},
               year         = {2019},
               month        = {10},
               day          = {23},
         }

致谢

开发团队：Jeffrey S. Hazboun，Joseph D. Romano和Tristan L. Smith

本软件包是用 Cookiecutter 和 audreyr/cookiecutter-pypackage 项目模板创建的。

0.1.0 (2019-06-23)*

• 首次在 PyPI 发布。