PLATO’s signal and noise budget

Autor: Anko Börner, Carsten Paproth, Juan Cabrera Perez, Martin Pertenais, Heike Rauer, J. Miguel Mas-Hesse, Isabella Pagano, Jose Lorenzo Alvarez, Anders Erikson, Grießbach Denis, Yves Levillain, Demetrio Magrin, Valery Mogulsky, Sami Mathias Niemi, Thibaut Prod'homme, Sara Regibo, Joris De Ridder, Steve Rockstein, Reza Samadi, Dimitri Serrano-Velarde, Alan Smith, Peter Verhoeve, Dave Walton
Rok vydání: 2022
Popis: ESA’s PLATO mission aims the detection and characterization of terrestrial planets around solar-type stars as well as the study of host star properties. The noise-to-signal ratio (NSR) is the main performance parameter of the PLATO instrument, which consists of 24 Normal Cameras and 2 Fast Cameras. In order to justify, verify and breakdown NSR-relevant requirements the software simulator PINE was developed. PINE models the signal pathway from a target star to the digital output of a camera based on physical models and considers the major noise contributors. In this paper, the simulator’s coarse mode is introduced which allows fast performance analyses on instrument level. The added value of PINE is illustrated by exemplary applications.
Databáze: OpenAIRE