Skip to content

Observation metrics for periodic events (e.g. transit search completeness)

License

Notifications You must be signed in to change notification settings

lgrcia/portrait

Repository files navigation

portrait

Observation metrics for periodic events

github license documentation

A Python package to compute and visualize observation metrics for periodic events.

In Astronomy, portrait is useful to answer the following questions:

  • How much of an orbit with period $P$ has been observed given certain observation times? (tutorial)
  • What period $P$ matches with this list of events? (tutorial)
  • How a certain target must be observed to cover all orbits with periods lower than $P$ days?

Documentation at portrait.readthedocs.io

Example

Given the range of periods you want to cover, here is how to compute the amout of phase covered by your observation times

from portrait import coverage

time = ... # your observation times
periods = np.linspace(0.1, 10, 2000)

covered = coverage(times)(periods) 

And plotting it with matplotlib

import matplotlib.pyplot as plt

plt.subplot(111, xlabel="periods", ylabel="coverage")
plt.plot(periods, covered, c="0.5")

image

Installation

pip install portrait

About

Observation metrics for periodic events (e.g. transit search completeness)

Topics

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages