Matches in SemOpenAlex for { <https://semopenalex.org/work/W4221097113> ?p ?o ?g. }
- W4221097113 endingPage "2617" @default.
- W4221097113 startingPage "2604" @default.
- W4221097113 abstract "ABSTRACT Observations of exoplanet atmospheres in high resolution have the potential to resolve individual planetary absorption lines, despite the issues associated with ground-based observations. The removal of contaminating stellar and telluric absorption features is one of the most sensitive steps required to reveal the planetary spectrum and, while many different detrending methods exist, it remains difficult to directly compare the performance and efficacy of these methods. Additionally, though the standard cross-correlation method enables robust detection of specific atmospheric species, it only probes for features that are expected a priori. Here, we present a novel methodology using Gaussian process (GP) regression to directly model the components of high-resolution spectra, which partially addresses these issues. We use two archival CRyogenic Infra-Red Echelle Spectrograph (CRIRES)/Very Large Telescope (VLT) data sets as test cases, observations of the hot Jupiters HD 189733 b and 51 Pegasi b, recovering injected signals with average line contrast ratios of ∼4.37 × 10−3 and ∼1.39 × 10−3, and planet radial velocities ΔKp = 1.45 ± 1.53 $mathrm{km, s^{-1}}$ and ΔKp = 0.12 ± 0.12 $mathrm{km, s^{-1}}$ from the injection velocities, respectively. In addition, we demonstrate an application of the GP method to assess the impact of the detrending process on the planetary spectrum, by implementing injection-recovery tests. We show that standard detrending methods used in the literature negatively affect the amplitudes of absorption features in particular, which has the potential to render retrieval analyses inaccurate. Finally, we discuss possible limiting factors for the non-detections using this method, likely to be remedied by higher signal-to-noise data." @default.
- W4221097113 created "2022-04-03" @default.
- W4221097113 creator A5021430784 @default.
- W4221097113 creator A5031499581 @default.
- W4221097113 creator A5043308927 @default.
- W4221097113 creator A5054667977 @default.
- W4221097113 date "2022-03-12" @default.
- W4221097113 modified "2023-10-14" @default.
- W4221097113 title "Applications of a Gaussian process framework for modelling of high-resolution exoplanet spectra" @default.
- W4221097113 cites W1883251007 @default.
- W4221097113 cites W1990807991 @default.
- W4221097113 cites W1997043944 @default.
- W4221097113 cites W1997669024 @default.
- W4221097113 cites W1999533780 @default.
- W4221097113 cites W2059087226 @default.
- W4221097113 cites W2060354707 @default.
- W4221097113 cites W2074479841 @default.
- W4221097113 cites W2092289266 @default.
- W4221097113 cites W2106619948 @default.
- W4221097113 cites W2126858388 @default.
- W4221097113 cites W2131418616 @default.
- W4221097113 cites W2141599824 @default.
- W4221097113 cites W2146512888 @default.
- W4221097113 cites W2157805129 @default.
- W4221097113 cites W2161586618 @default.
- W4221097113 cites W2162059016 @default.
- W4221097113 cites W2329809302 @default.
- W4221097113 cites W2524314881 @default.
- W4221097113 cites W2591339962 @default.
- W4221097113 cites W2690357482 @default.
- W4221097113 cites W2767848202 @default.
- W4221097113 cites W2889102871 @default.
- W4221097113 cites W2900341749 @default.
- W4221097113 cites W2947309999 @default.
- W4221097113 cites W2963226360 @default.
- W4221097113 cites W2996954462 @default.
- W4221097113 cites W2999397127 @default.
- W4221097113 cites W3011745460 @default.
- W4221097113 cites W3018354661 @default.
- W4221097113 cites W3040781087 @default.
- W4221097113 cites W3096200669 @default.
- W4221097113 cites W3098298686 @default.
- W4221097113 cites W3098701684 @default.
- W4221097113 cites W3098746777 @default.
- W4221097113 cites W3098801343 @default.
- W4221097113 cites W3099202796 @default.
- W4221097113 cites W3099403791 @default.
- W4221097113 cites W3100402233 @default.
- W4221097113 cites W3100657927 @default.
- W4221097113 cites W3101198133 @default.
- W4221097113 cites W3101385282 @default.
- W4221097113 cites W3102014803 @default.
- W4221097113 cites W3102098442 @default.
- W4221097113 cites W3102394815 @default.
- W4221097113 cites W3102399068 @default.
- W4221097113 cites W3103154067 @default.
- W4221097113 cites W3103202279 @default.
- W4221097113 cites W3103387875 @default.
- W4221097113 cites W3103520881 @default.
- W4221097113 cites W3104200917 @default.
- W4221097113 cites W3108624104 @default.
- W4221097113 cites W3110248663 @default.
- W4221097113 cites W3118548274 @default.
- W4221097113 cites W3120750144 @default.
- W4221097113 cites W3121918227 @default.
- W4221097113 cites W3125789910 @default.
- W4221097113 cites W3149882728 @default.
- W4221097113 cites W3165455590 @default.
- W4221097113 cites W3210911353 @default.
- W4221097113 cites W4289253294 @default.
- W4221097113 cites W4289875276 @default.
- W4221097113 doi "https://doi.org/10.1093/mnras/stac662" @default.
- W4221097113 hasPublicationYear "2022" @default.
- W4221097113 type Work @default.
- W4221097113 citedByCount "1" @default.
- W4221097113 countsByYear W42210971132023 @default.
- W4221097113 crossrefType "journal-article" @default.
- W4221097113 hasAuthorship W4221097113A5021430784 @default.
- W4221097113 hasAuthorship W4221097113A5031499581 @default.
- W4221097113 hasAuthorship W4221097113A5043308927 @default.
- W4221097113 hasAuthorship W4221097113A5054667977 @default.
- W4221097113 hasBestOaLocation W42210971131 @default.
- W4221097113 hasConcept C100905312 @default.
- W4221097113 hasConcept C120665830 @default.
- W4221097113 hasConcept C121332964 @default.
- W4221097113 hasConcept C124967146 @default.
- W4221097113 hasConcept C1276947 @default.
- W4221097113 hasConcept C150846664 @default.
- W4221097113 hasConcept C163479331 @default.
- W4221097113 hasConcept C163716315 @default.
- W4221097113 hasConcept C180205008 @default.
- W4221097113 hasConcept C2778861254 @default.
- W4221097113 hasConcept C2780174078 @default.
- W4221097113 hasConcept C44870925 @default.
- W4221097113 hasConcept C4839761 @default.
- W4221097113 hasConcept C51244244 @default.
- W4221097113 hasConcept C61326573 @default.
- W4221097113 hasConcept C62520636 @default.