The effect of JWST/NIRSpec data reduction on the retrieval of WASP-39b atmospheric properties
J. Roy-Perez, S. P\'erez-Hoyos, N. Barrado-Izagirre, H. Chen-Chen

TL;DR
This study evaluates how different JWST/NIRSpec data reduction methods influence the retrieval of atmospheric properties of exoplanet WASP-39b, emphasizing the importance of calibration and reduction strategies for accurate atmospheric characterization.
Contribution
It systematically compares multiple data reduction pipelines and assesses their impact on atmospheric retrievals, highlighting the significance of calibration and saturation effects.
Findings
Data reduction differences cause significant variations in atmospheric parameters.
Excluding saturated regions reduces inter-pipeline discrepancies.
JWST data can constrain aerosol properties, but results depend on reduction methods.
Abstract
The JWST provides exoplanet transit observations with unprecedented spectral coverage, enabling detailed atmospheric characterisation. However, systematics introduced during data reduction can lead to small but significant uncertainties that propagate into atmospheric retrievals, making it essential to assess their impact on inferred properties. We aim to quantify the impact of different JWST/NIRSpec PRISM data-reduction processes as well as the relevance of saturation on the retrieved atmospheric properties of WASP-39b. We also assess whether or not these biases are comparable to those introduced by assumptions made in atmospheric modelling, particularly in the treatment of aerosol extinction. We perform nested-sampling Bayesian retrievals using MultiNest and forward models generated with the Planetary Spectrum Generator. Six independently reduced spectra are analysed, considering…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
