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Precision modeling of telluric features through rigorous atmospheric trace gas retrieval algorithm

Presentation #223.01 in the session Exoplanet Atmospheres (Poster + Lightning Talk)

Published onOct 23, 2023
Precision modeling of telluric features through rigorous atmospheric trace gas retrieval algorithm

Since ground-based Extreme Precision Radial Velocity (EPRV) measurements are inevitably impeded by telluric absorption feature contamination, particularly in the infrared, it is crucial to model the telluric aborption features down to the spectral noise level. We have adapted atmospheric trace gas retrieval algorithm and succefully fitted the telluric absorption features to typically ~ 1% or the spectral noise level by adjusting the trace gas abundances (including water vapor) independently and simultaneously during the spectrum fitting. For this, we used a series of spectra from PARVI (1.1 – 1.76 μm) and iSHELL (1 – 2.5 μm) as a testbed, which have been operational at Palomar Observatory, CA, and at IRTF at Mauna Kea Observatory, respectively. We note that the independent adjustment of the trace gas abundances is key to achieving the precision modeling of the telluric absorption to the noise level, especially water vapor whose abundance is subject to change on short time scales. We present the spectrum fitting results of PARVI and iSHELL spectra and discuss the performance and advantage of our novel approach toward EPRV measurements.

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