Abstract

A new generation of exoplanet research beckons and with it the need for simulation tools that accurately predict signal and noise in transit spectroscopy observations. We developed ExoSim: an end-to-end simulator that models noise and systematics in a dynamical simulation. ExoSim improves on previous simulators in the complexity of its simulation, versatility of use and its ability to be generically applied to different instruments. It performs a dynamical simulation that can capture temporal effects such as correlated noise and systematics on the light curve. It has also been extensively validated, including against real results from the Hubble WFC3 instrument. We find ExoSim is accurate to within 5% in most comparisons. ExoSim can interact with other models which simulate specific time-dependent processes. A dedicated star spot simulator allows ExoSim to produce simulated observations that include spot and facula contamination. ExoSim has been used extensively in the Phase A and B design studies of the ARIEL mission, and has many potential applications in the field of transit spectroscopy.

Highlights

  • Today thousands of exoplanets have been confirmed, revealing a diverse population in size, mass, temperature and orbital properties

  • ExoSim improves on previous simulators in the complexity of its simulation, versatility of use and its ability to be generically applied to different instruments

  • In this paper we presented ExoSim, a generic simulator of exoplanet transit spectroscopy observations

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Summary

Introduction

Today thousands of exoplanets have been confirmed, revealing a diverse population in size, mass, temperature and orbital properties. In phase-resolved emission spectroscopy [3, 43] multiple emission spectra are obtained as a function of phase Both transit and eclipse spectroscopy operate in the time domain, relying on high precision spectrophotometric light curve measurements. These wavelength-dependent variations in transit or eclipse depths can give spectral amplitudes in the order of a few tens to hundreds of ppm of the stellar flux, depending on the planet in question The detection of such small signals is highly vulnerable to noise and systematics. ExoSim operates dynamically, modelling the time domain directly in small steps This gives it the potential to better capture the effects of correlated noise and systematics on the final spectrum. New and established instruments under complex conditions, and optimize the scientific potential of space missions

ExoSim
Overview
Algorithm
Astroscene
Telescope
Channel
Detector
Timeline generator
Output
SpotSim
Validation of focal plane signal
Validation of uncorrelated noise
Validation of pointing jitter model
ExoSim vs ESA radiometric model
ExoSim vs Hubble WFC3
Computational requirements
Limitations and future improvement
Conclusions
Findings
ARIEL consortium
Full Text
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