EROSITAwiki: Diff for "PeriodSearch"

1. You will find here simulated light curves containing short-period pulsations, created with SIXTE and SRCTOOL.

Some basic infos:

* The SIXTE event files were created for a source flux of 1e-11 erg/s, with a power-law spectrum (nH=0.5, Gamma=2).
* The input light curves for SIXTE are sine functions with amplitudes varying from 0.4 to 1.0, with periods from 0.5 to 10 s and time sampling of 0.1 s.
* The total duration of the observations are 9e4 s, corresponding to 7 consecutive scans.
* From the event files created by SIXTE, light curves are generated using the eSASS SRCTOOL, with 0.1 s time sampling.

Example of light curves (7 telescopes merged):

sine_am0.497_pe5.9_040_LightCurve_source_1.fits
sine_am0.499_pe9.2_040_LightCurve_source_1.fits
sine_am0.506_pe1.1_040_LightCurve_source_1.fits
sine_am0.732_pe1.9_040_LightCurve_source_1.fits
sine_am0.759_pe6.6_040_LightCurve_source_1.fits
sine_am0.904_pe1.2_040_LightCurve_source_1.fits
sine_am0.990_pe4.5_040_LightCurve_source_1.fits
sine_am0.992_pe7.7_040_LightCurve_source_1.fits

The value of the simulated amplitude and period (s), is indicated in the file name.

2. The code to perform Lomb-Scargle period search on eROSITA/SRCTOOL light curves is available here:

eROSITA_LS.py

* It is optimized to find short period (few seconds) pulsations on either single or multiple consecutive scans.
* It optionally calculate confidence levels using the Wild Bootstrap method (flux randomization).
* A Gaussian function is fitted on the highest peak to retrieve the best period and estimation of the period error (1 sigma of the fitted function).
* Output parameters are the best period, the standard deviation of the fitted Gaussian function and confidence levels values.

To make it run on the ds machines, you need to setup the Anaconda environment (necessary for the gatspy library) by typing on a bash shell:
source /utils/anaconda-setup.sh

An example of how to call the above routine and give input parameters, is given here:

call_eROSITA_LS.py

For any question or comment, do not hesitate to contact me by email: scarpano@mpe.mpg.de