Impact of Charge Transfer Inefficiency on transit light-curves: A correction strategy for PLATO
Shaunak Mishra, Reza Samadi, Diane Bérard
TL;DR
This paper addresses CTI-induced biases in PLATO transit photometry by developing a calibration-and-correction pipeline that combines the Charge Density Model with an axisymmetric radial trap-density map. The workflow uses overscan fitting, smearing removal, and an EPER-based density fit to infer trap species, release times, and spatial trap distributions, then applies a Massey-style iterative correction to recover CTI-free photometry. In the worst-case scenario, CTI bias in transit depth is about $4\%$, which is reduced to $0.06\%$ after correction, yielding a radius ratio bias near $2\%$ that is below PLATO's requirements. The approach is demonstrated on simulated PLATO data and is broadly applicable to CTI-affected detectors, with potential extensions to PSF-fitting photometry and cross-camera validation.
Abstract
PLATO is designed to detect Earth-sized exoplanets around solar-type stars and to measure their radii with accuracy better than $2\%$ via the transit method. Charge transfer inefficiency (CTI), a by-product of radiation damage to CCDs, can jeopardize this accuracy and therefore must be corrected. We assess and quantify the impact of CTI on transit-depth measurements and develop a correction strategy that restores CTI-biased depths within the accuracy budget. Using a calibration dataset generated with PLATOSim to simulate a realistic stellar field, we model the parallel overscan signal as a sum of exponential decays and use least-squares fitting to infer the number of trap species and initial estimates for the release times $τ_{r,k}$. Smearing is modeled with an exponential-plus-constant function and removed on a column-wise basis. We model the spatial variation in trap density with a quadratic polynomial in radial distance from the focal-plane center. The polynomial coefficients $a_{p,k}$, the well-fill power index $β$, and the release times $τ_{r,k}$ are adjusted via iterative application of the Extended pixel Edge Response (EPER) method combined with a CTI correction algorithm, yielding the final calibration model. In the worst-case scenario (8-year mission, high-CTI zone), CTI induces a bias of about $4\%$ in measured transit depth, reduced to a residual of $0.06\%$ after correction - well within PLATO's accuracy requirements. From the calibrated parameters, we derive a correction scheme that brings photometric measurements within PLATO's noise budget, ensuring that the mission's precision requirements are met.
