2015/10/30 by Cristobal Alessandri, Alessandri, Cristobal, Dani Guzmán +19
Computer Science · Engineering · Physics and Astronomy · #Advanced Sensor Technologies Research #CCD and CMOS Imaging Sensors #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Sensor Technology and Measurement Systems #astro-ph.IM
paper · pdf · doi:10.48550/arxiv.1510.09105
This paper was presented at the Scientific Detectors Workshop 2013 and submitted to be published in the proceedings. However, the proceedings have not been published yet
arxiv created 2015/10/30 · openalex publication_date 2015/10/30 · arxiv updated 2015/11/02 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
The Digital Correlated Double Sampling (DCDS) is a technique based on multiple analog-to-digital conversions of every pixel when reading a CCD out. This technique allows to remove analog integrators, simplifying the readout electronics circuitry. In this work, a theoretical framework that computes the optimal weighted coefficients of the pixels samples, which minimize the readout noise measured at the CCD output is presented. By using a noise model for the CCD output amplifier where white and flicker noise are treated separately, the mathematical tool presented allows for the computation of the optimal samples coefficients in a deterministic fashion. By modifying the noise profile, our simulation results get in agreement and thus explain results that were in mutual disagreement up until now.