pith. sign in

arxiv: 1503.06676 · v1 · pith:2ZCXUFMInew · submitted 2015-03-23 · 🌌 astro-ph.IM · astro-ph.HE

A Python Code for the Emmanoulopoulos et al. [arXiv:1305.0304] Light Curve Simulation Algorithm

classification 🌌 astro-ph.IM astro-ph.HE
keywords codealgorithmemmanoulopouloslightarxivcurvesdensitygiven
0
0 comments X
read the original abstract

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]

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Detectability of Polarized Gamma-ray Emission from Blazar Flares with COSI

    astro-ph.HE 2026-05 unverdicted novelty 4.0

    COSI is projected to detect MeV polarization from up to about 6 blazar flares over its two-year mission, mostly flat-spectrum radio quasars, assuming GeV-like flare rates and baseline backgrounds.

  2. Detectability of Polarized Gamma-ray Emission from Blazar Flares with COSI

    astro-ph.HE 2026-05 unverdicted novelty 4.0

    Estimates based on 17 years of Fermi LAT data indicate COSI may detect MeV polarization in a small number of blazar flares, with flat-spectrum radio quasars as the top targets.