lc_noise {RobPer} | R Documentation |
Noise and measurement accuracy generator for light curves
Description
Generates measurement accuracies, a white noise component depending on them and a second (possibly power law, i.e. red) noise component which does not depend on the measurement accuracies.
For more details see tsgen
or Thieler, Fried and Rathjens (2016).
See RobPer-package
for more information about light curves.
Usage
lc_noise(tt, sig, SNR, redpart, alpha = 1.5)
Arguments
tt |
numeric vector: Observation times given. |
sig |
numeric vector of same length as |
SNR |
positive number: Defines the relation between signal and noise (see |
redpart |
numeric value in [0,1]: Proportion of the power law noise in noise components (see |
alpha |
numeric value: Power law index for the power law noise component (see |
Value
y |
numeric vector: Observed values: signal + noise. |
s |
numeric vector: Measurement accuracies related to the white noise component. |
Note
A former version of this function is used in Thieler et al. (2013).
Author(s)
Anita M. Thieler and Jonathan Rathjens
References
Thieler, A. M., Backes, M., Fried, R. and Rhode, W. (2013): Periodicity Detection in Irregularly Sampled Light Curves by Robust Regression and Outlier Detection. Statistical Analysis and Data Mining, 6 (1), 73-89
Thieler, A. M., Fried, R. and Rathjens, J. (2016): RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression. Journal of Statistical Software, 69 (9), 1-36, <doi:10.18637/jss.v069.i09>
See Also
Applied in tsgen
(see there for an example), applies TK95_uneq
.