The Gemini Planet Imager (GPI) is a high contrast imaging instrument that aims to detect and characterize extrasolar planets. GPI is being upgraded to GPI 2.0, with several subsystems receiving a re-design to improve the instrument's contrast. To enable observations on fainter targets and increase stability on brighter ones, one of the upgrades is to the adaptive optics system. The current Shack-Hartmann wavefront sensor (WFS) is being replaced by a pyramid WFS with an low-noise electron multiplying CCD (EMCCD). EMCCDs are detectors capable of counting single photon events at high speed and high sensitivity. In this work, we characterize the performance of the HN\"u 240 EMCCD from N\"uv\"u Cameras, which was custom-built for GPI 2.0. The HN\"u 240 EMCCD's characteristics make it well suited for extreme AO: it has low dark current (< 0.01 e-/pix/fr), low readout noise (0.1 e-/pix/fr at a gain of 5000), high quantum efficiency ( 90% at wavelengths from 600-800 nm; 70% from 800-900 nm), and fast readout (up to 3000 fps full frame). Here we present test results on the EMCCD's noise contributors, such as the readout noise, pixel-to-pixel variability and CCD bias. We also tested the linearity and EM gain calibration of the detector. All camera tests were conducted before its integration into the GPI 2.0 PWFS system.
@article{arxiv.2310.06276,
title = {GPI 2.0: Performance Evaluation of the Wavefront Sensor's EMCCD},
author = {Clarissa R. Do Ó and Saavidra Perera and Jérôme Maire and Jayke S. Nguyen and Vincent Chambouleyron and Quinn M. Konopacky and Jeffrey Chilcote and Joeleff Fitzsimmons and Randall Hamper and Dan Kerley and Bruce Macintosh and Christian Marois and Fredrik Rantakyrö and Dmitry Savranksy and Jean-Pierre Veran and Guido Agapito and S. Mark Ammons and Marco Bonaglia and Marc-Andre Boucher and Jennifer Dunn and Simone Esposito and Guillaume Filion and Jean Thomas Landry and Olivier Lardiere and Duan Li and Alex Madurowicz and Dillon Peng and Lisa Poyneer and Eckhart Spalding},
journal= {arXiv preprint arXiv:2310.06276},
year = {2023}
}
Comments
16 pages, 14 figures. Conference Proceedings for AO4ELT7, held in June 2023 in Avignon, France