PLATO's signal and noise budget
Anko B\"orner, Carsten Paproth, Juan Cabrera, Martin Pertenais, Heike, Rauer, J. Miguel Mas-Hesse, Isabella Pagano, Jose Lorenzo Alvarez, Anders, Erikson, Denis Grie{\ss}bach, Yves Levillain, Demetrio Magrin, Valery, Mogulsky, Sami-Matias Niemi, Thibaut Prod'homme, Sara Regibo
TL;DR
This paper introduces PINE, a software simulator for ESA's PLATO mission, which models the signal and noise to optimize the instrument's performance in detecting terrestrial exoplanets.
Contribution
The paper presents the development of PINE's coarse mode, enabling fast performance analysis of the PLATO instrument's signal and noise characteristics.
Findings
PINE effectively models the signal pathway from star to camera output.
The coarse mode allows rapid performance assessments.
Illustrative applications demonstrate PINE's utility.
Abstract
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.
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Taxonomy
TopicsRadio Astronomy Observations and Technology