项目作者: MXK606

项目描述 :
Exoplanets transit detection probability using Monte-Carlo simulations.
高级语言: Jupyter Notebook
项目地址: git://github.com/MXK606/exoplanets-research.git
创建时间: 2019-09-18T10:07:01Z
项目社区:https://github.com/MXK606/exoplanets-research

开源协议:GNU General Public License v3.0

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Completeness function to determine and increase the probability of detecting transits for Jupyter (IPython Notebook)

To find exoplanet systems, most people assume that we can detect any orbital period with the same probability (module some geometric effects). This works well for space-based observations, and for ground-based observatories collecting data from 100s of thousands of stars. However, surveys involving fewer stars may miss planets whose orbital period are close to integer number of days (or integer ratios).

Find the Jupyter Notebook above which contains various pre-defined functions altogether used to investigate the detection probabilities of different exoplanet orbital periods around a particular host star by executing Monte-Carlo simulations.