Calibrating and correcting charge transfer inefficiency in CCDs using Pyxel

• Published in: X-Ray, Optical, and Infrared Detectors for Astronomy X
• Main Authors: Kelman, Bradley, Prod'homme, Thibaut, Skottfelt, Jesper, Lemmel, Frederic, Arko, Matej, Liebing, Patricia, Verhoeve, Peter, Dryer, Benjamin, Hall, David, Hubbard, Michael
• Format: Conference Object
• Language: unknown
• Published: 2022
• Subjects: Arctic
• Online Access: https://oro.open.ac.uk/85145/; https://oro.open.ac.uk/85145/1/Calibrating_and_correcting_CTI_in_CCDs_using_Pyxel_SPIE_proceeding.pdf; https://doi.org/10.1117/12.2629896

To tackle the ever-more demanding requirements of upcoming astronomical instruments, emphasis is being put on accurate, reliable, and reusable models to simulate detector effects on images. The open-source python package Pyxel aims at solving these issues by providing a simulation framework where detector effects models can be easily implemented, pipelined and calibrated or validated against test data. In this contribution, we detail how by using the Pyxel framework, it is possible to calibrate ArCTIC – a model for simulating and correcting Charge Transfer Inefficiency in CCDs – and check its correction efficiency for realistic galaxy images acquired using an irradiated Teledyne e2v CCD273.