Period matching

For a list of times t0s, nighshift can help find the optimal period matching these events

Data simulation

We simulate a list of times and only pick few of them to represent a sparse observation of a certain event (such as an exoplanet transit)

import numpy as np

true_period = 1.23400
np.random.seed(42)
t0s = np.random.choice(np.arange(50)*true_period, size=6)
print(t0s)

[46.892 34.552 17.276 51.828  8.638 24.68 ]

Finding optimal period

We can then try to match these events with a range of periods

from nightshift import period_match

periods = np.linspace(0.2, 5, 1000000)

match, best = period_match(t0s, periods)

And plot the results

import matplotlib.pyplot as plt

plt.subplot(111, xlabel="periods", ylabel="match")
plt.axvline(true_period, c="k", alpha=0.3, label="true_period")
plt.plot(periods, match)
plt.legend()

print(f"true: {true_period:.4f}\nfound: {best:.4f}")

true: 1.2340
found: 1.2340