2015/03/23 by Samuel D. Connolly, S D Connolly, Connolly, S D · 1 citation
Environmental Science · Physics and Astronomy · #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Remote Sensing in Agriculture #Soil Geostatistics and Mapping #astro-ph.HE #astro-ph.IM
paper · pdf · doi:10.48550/arxiv.1503.06676
Research note on a published statistical methodology
arxiv created 2015/03/23 · openalex publication_date 2015/03/23 · arxiv updated 2015/03/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
I have created, for public use, a Python code allowing the simulation of light curves with any given power spectral density and any probability density function, following the algorithm described in Emmanoulopoulos et al. 2013. The simulated products have exactly the same variability and statistical properties as the observed light curves. The code and its documentation are available at: https://github.com/samconnolly/DELightcurveSimulation Note that a Mathematica code of the algorithm is given in Emmanoulopoulos et al. [arXiv:1305.0304]