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| You will find here simulated light curves containing short-period pulsations, created with SIXTE and SRCTOOL. | 1. You will find here simulated light curves containing short-period pulsations, created with SIXTE and SRCTOOL. |
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2. The code to perform Lomb-Scargle period search on eROSITA/SRCTOOL light curves is available here: [[attachment:eROSITA_LS.py]]<<BR>> * It is optimized to find short period (few seconds) pulsations on either single or multiple consecutive scans.<<BR>> * It optionally calculate confidence levels using the Wild Bootstrap method (flux randomization).<<BR>> * 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 |
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 filename.
2. The code to perform Lomb-Scargle period search on eROSITA/SRCTOOL light curves is available here:
* 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