De-jittering Ariel: An optimized algorithm

The European Space Agency’s Ariel mission, scheduled for launch in 2029, aims to conduct the first large-scale survey of atmospheric spectra of transiting exoplanets. Ariel achieves the high photometric stability on transit timescales required to detect the spectroscopic signatures of chemical eleme...

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Vydáno v:	Experimental astronomy Ročník 59; číslo 3; s. 31
Hlavní autoři:	Bocchieri, Andrea, Mugnai, Lorenzo V., Pascale, Enzo, Papageorgiou, Andreas, Syty, Angèle, Tsiaras, Angelos, Eccleston, Paul, Savini, Giorgio, Tinetti, Giovanna, Broquet, Renaud, Chapman, Patrick, Sechi, Gianfranco
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Dordrecht Springer Netherlands 01.06.2025 Springer Nature B.V
Témata:	Algorithms Astronomical instruments Astronomy Chemical elements Chemistry and Earth Sciences Computer Science Data processing Data reduction Extrasolar planets Instrumentation Observations and Techniques Photometry Photons Physics Physics and Astronomy Planetary atmospheres Point spread functions Sensors Service modules Space missions Spacecraft Spatial data Spectra Spectroscopy Stability Statistics for Engineering Systematics Telescopes Time series Transit Vibration Wavelengths Jitter Detrending Spectroscopy Photometry Space mission
ISSN:	0922-6435, 1572-9508
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Abstract	The European Space Agency’s Ariel mission, scheduled for launch in 2029, aims to conduct the first large-scale survey of atmospheric spectra of transiting exoplanets. Ariel achieves the high photometric stability on transit timescales required to detect the spectroscopic signatures of chemical elements with a payload design optimized for transit photometry that either eliminates known systematics or allows for their removal during data processing without significantly degrading or biasing the detection. Jitter in the spacecraft’s line of sight is a source of disturbance when measuring the spectra of exoplanet atmospheres. We describe an improved algorithm for de-jittering Ariel observations simulated in the time domain. We opt for an approach based on the spatial information on the Point Spread Function (PSF) distortion from jitter to detrend the optical signals. The jitter model is based on representative simulations from Airbus Defence and Space, the prime contractor for the Ariel service module. We investigate the precision and biases of the retrieved atmospheric spectra from the jitter-detrended observations. At long wavelengths, the photometric stability of the Ariel spectrometer is already dominated by photon noise. Our algorithm effectively de-jitters both photometric and spectroscopic data, ensuring that the performance remains photon noise-limited across the entire Ariel spectrum, fully compliant with mission requirements. This work contributes to the development of the data reduction pipeline for Ariel , aligning with its scientific goals, and may also benefit other astronomical telescopes and instrumentation.
AbstractList	The European Space Agency’s Ariel mission, scheduled for launch in 2029, aims to conduct the first large-scale survey of atmospheric spectra of transiting exoplanets. Ariel achieves the high photometric stability on transit timescales required to detect the spectroscopic signatures of chemical elements with a payload design optimized for transit photometry that either eliminates known systematics or allows for their removal during data processing without significantly degrading or biasing the detection. Jitter in the spacecraft’s line of sight is a source of disturbance when measuring the spectra of exoplanet atmospheres. We describe an improved algorithm for de-jittering Ariel observations simulated in the time domain. We opt for an approach based on the spatial information on the Point Spread Function (PSF) distortion from jitter to detrend the optical signals. The jitter model is based on representative simulations from Airbus Defence and Space, the prime contractor for the Ariel service module. We investigate the precision and biases of the retrieved atmospheric spectra from the jitter-detrended observations. At long wavelengths, the photometric stability of the Ariel spectrometer is already dominated by photon noise. Our algorithm effectively de-jitters both photometric and spectroscopic data, ensuring that the performance remains photon noise-limited across the entire Ariel spectrum, fully compliant with mission requirements. This work contributes to the development of the data reduction pipeline for Ariel , aligning with its scientific goals, and may also benefit other astronomical telescopes and instrumentation. The European Space Agency’s Ariel mission, scheduled for launch in 2029, aims to conduct the first large-scale survey of atmospheric spectra of transiting exoplanets. Ariel achieves the high photometric stability on transit timescales required to detect the spectroscopic signatures of chemical elements with a payload design optimized for transit photometry that either eliminates known systematics or allows for their removal during data processing without significantly degrading or biasing the detection. Jitter in the spacecraft’s line of sight is a source of disturbance when measuring the spectra of exoplanet atmospheres. We describe an improved algorithm for de-jittering Ariel observations simulated in the time domain. We opt for an approach based on the spatial information on the Point Spread Function (PSF) distortion from jitter to detrend the optical signals. The jitter model is based on representative simulations from Airbus Defence and Space, the prime contractor for the Ariel service module. We investigate the precision and biases of the retrieved atmospheric spectra from the jitter-detrended observations. At long wavelengths, the photometric stability of the Ariel spectrometer is already dominated by photon noise. Our algorithm effectively de-jitters both photometric and spectroscopic data, ensuring that the performance remains photon noise-limited across the entire Ariel spectrum, fully compliant with mission requirements. This work contributes to the development of the data reduction pipeline for Ariel , aligning with its scientific goals, and may also benefit other astronomical telescopes and instrumentation.
ArticleNumber	31
Author	Broquet, Renaud Syty, Angèle Mugnai, Lorenzo V. Tinetti, Giovanna Eccleston, Paul Chapman, Patrick Papageorgiou, Andreas Pascale, Enzo Sechi, Gianfranco Savini, Giorgio Bocchieri, Andrea Tsiaras, Angelos
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Snippet	The European Space Agency’s Ariel mission, scheduled for launch in 2029, aims to conduct the first large-scale survey of atmospheric spectra of transiting... The European Space Agency’s Ariel mission, scheduled for launch in 2029, aims to conduct the first large-scale survey of atmospheric spectra of transiting...
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Title	De-jittering Ariel: An optimized algorithm
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