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Data-driven Modeling of Telluric Features and Stellar Variability with StellarSpectraObservationFitting.jl

  • Authors: Christian Gilbertson, Eric B. Ford, Samuel Halverson, Evan Fitzmaurice, Cullen H. Blake, Gumundur Stefánsson, Suvrath Mahadevan, Jason T. Wright, Jacob K. Luhn, Joe P. Ninan, Paul Robertson, Arpita Roy, Christian Schwab, Ryan C. Terrien

Christian Gilbertson et al 2026 The Astronomical Journal 172 .

  • Provider: AAS Journals

Caption: Figure 14.

SSOF model of order 97 for HD 3561 which separates the two dominant modes of telluric variability. Top: the telluric and stellar templates are shown above in gray and blue while the two telluric feature vectors are shown below in orange and green. For comparison, we also show portions of simulated H2O (pink) and O2 (turquoise) spectra. The simulated lines are those whose line depths are >0.1% in typical conditions at Kitt Peak. The line locations and emmissivities are from HITRAN2020 (R. Tolchenov et al. 2005; I. E. Gordon et al. 2011, 2022; S. Yu et al. 2014; T. Furtenbacher et al. 2020). The green feature vector captures the time variability of O2 lines while the orange basis vector captures the time variability of H2O lines. Bottom: the telluric feature scores as a function of time. The scores for the O2 feature vector (green) are highly correlated with observation air mass (black) while the scores for the H2O feature vector (orange) are more erratic but clearly identified in multiple orders (see Figure 9). The residuals between v⋆,97 and ﹩{v}_{\star }^{{\mathtt{SSOF}}}﹩ are shown in Figure 16.

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