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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 16.

Top: the final RV reduction of ﹩{v}_{\star }^{{\mathtt{SSOF}}}﹩ (blue) for HD 3561 combining the velocity measurements from 77 SSOF order models resulting in a 49% tighter SMP when compared to the NEID DRP’s CCF-based RVs (﹩{v}_{\star }^{{\rm{NEID}}}﹩, green) and a similar SMP and RV rms when compared to SERVAL’s template-matching RVs (﹩{v}_{\star }^{{\rm{SERV\; AL}}}﹩, orange). ﹩{v}_{\star }^{{\mathtt{SSOF}}(5,5)}﹩ (purple) has a lower rms, but only by taking out a portion of the planetary signal. All RV time series are shown with their corresponding 1σ error bars. Bottom left: the residual time series for ﹩{v}_{\star }^{{\rm{SERV\; AL}}}﹩ (orange), ﹩{v}_{\star }^{{\rm{NEID}}}﹩ (green), and several other versions of ﹩{v}_{\star }^{{\mathtt{SSOF}}}﹩. Only a few SSOF models used in ﹩{v}_{\star }^{{\mathtt{SSOF}}}﹩ used stellar variability so ﹩{v}_{\star }^{{\mathtt{SSOF}}({K}_{\oplus },0)}﹩ is functionally identical to ﹩{v}_{\star }^{{\mathtt{SSOF}}}﹩. Ignoring telluric variability only adds 15 cm s−1of variability. Bottom right: the residual time series for the highlighted SSOF order models. The residual velocities from the KO (pink) H2O and O2 separating order (dark orange), and Fe I variability order (seafoam green) are all essentially consistent with white noise.

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