11.5.2.3. astroML.time_series.generate_power_law¶
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astroML.time_series.generate_power_law(N, dt, beta, generate_complex=False, random_state=None)[source]¶ Generate a power-law light curve
This uses the method from Timmer & Koenig [1]
- Parameters
- Ninteger
Number of equal-spaced time steps to generate
- dtfloat
Spacing between time-steps
- betafloat
Power-law index. The spectrum will be (1 / f)^beta
- generate_complexboolean (optional)
if True, generate a complex time series rather than a real time series
- random_stateNone, int, or np.random.RandomState instance (optional)
random seed or random number generator
- Returns
- xndarray
the length-N
References