Exoplanetology: Exoplanets & Exomoons

Forward-modeling The Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres

By Keith Cowing
Status Report
astro-ph.EP
November 14, 2024
Filed under , , , , , , , ,
Forward-modeling The Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres
Schematic of scope pipeline. This example uses a planetary emission spectrum calculated with the CHIMERA (Line et al. 2013) atmospheric model as input. This simulation is meant to reconstruct the IGRINS dataset used to identify the emission of WASP-77Ab by Line et al. (2021). The slight discontinuity in the planetary emission tracks is due to a gap in exposures corresponding to these observations. The SNR of this simulation matches the SNR of the Line et al. 2021 observations (SNR=12.8); 9 other noise realizations span SNRs from 11.0 to 19.0. — astro-ph.EP

Ground-based high-resolution cross-correlation spectroscopy (HRCCS; R >~ 15,000) is a powerful complement to space-based studies of exoplanet atmospheres. By resolving individual spectral lines, HRCCS can precisely measure chemical abundance ratios, directly constrain atmospheric dynamics, and robustly probe multidimensional physics.

But the subtleties of HRCCS datasets — e.g., the lack of exoplanetary spectra visible by eye and the statistically complex process of telluric removal — can make interpreting them difficult. In this work, we seek to clarify the uncertainty budget of HRCCS with a forward-modeling approach. We present a HRCCS observation simulator, scope (this URL https://github.com/arjunsavel/scope ), that incorporates spectral contributions from the exoplanet, star, tellurics, and instrument.

This tool allows us to control the underlying dataset, enabling controlled experimentation with complex HRCCS methods. Simulating a fiducial hot Jupiter dataset (WASP-77Ab emission with IGRINS), we first confirm via multiple tests that the commonly used principal components analysis does not bias the planetary signal when few components are used. Furthermore, we demonstrate that mildly varying tellurics and moderate wavelength solution errors induce only mild decreases in HRCCS detection significance.

However, limiting-case, strongly varying tellurics can bias the retrieved velocities and gas abundances. Additionally, in the low-SNR limit, constraints on gas abundances become highly non-Gaussian. Our investigation of the uncertainties and potential biases inherent in HRCCS data analysis enables greater confidence in scientific results from this maturing method.

Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton, Peter Smith, Jacob L. Bean, Lily L. Zhao, Kaze W.K. Wong, Jorge A. Sanchez, Michael R. Line

Comments: 21 pages, 11 figures. Submitted to AJ; comments welcome
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM)
Cite as: arXiv:2411.07303 [astro-ph.EP] (or arXiv:2411.07303v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2411.07303
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Submission history
From: Arjun Savel
[v1] Mon, 11 Nov 2024 19:00:35 UTC (9,587 KB)
https://arxiv.org/abs/2411.07303
Astrobiology

Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp veteran, (he/him) 🖖🏻