Wapiti: A data-driven approach to correct for systematics in RV data Article Swipe
M. Ould-Elhkim
,
C. Moutou
,
J.‐F. Donati
,
Étienne Artigau
,
P. Fouqué
,
Neil J. Cook
,
A. Carmona
,
P. I. Cristofari
,
Eder Martioli
,
Florian Debras
,
X. Dumusque
,
J. H. C. Martins
,
G. Hébrard
,
C. Cadieux
,
X. Delfosse
,
René Doyon
,
Baptiste Klein
,
J. Gomes da Silva
,
T. Forveille
,
Thea Hood
,
Paul Charpentier
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1051/0004-6361/202346472
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1051/0004-6361/202346472
Context . Recent advances in the development of precise radial velocity (RV) instruments in the near-infrared (near-IR) domain, such as SPIRou, have facilitated the study of M-type stars to more effectively characterize planetary systems. However, the near-IR presents unique challenges in exoplanet detection due to various sources of planet-independent signals which can result in systematic errors in the RV data. Aims . In order to address the challenges posed by the detection of exoplanetary systems around M-type stars using near-IR observations, we introduced a new data-driven approach for correcting systematic errors in RV data. The effectiveness of this method is demonstrated through its application to the star GJ 251. Methods . Our proposed method, Weighted principAl comPonent reconsTructIon (referred to as Wapiti), used a dataset of per-line RV time series generated by the line-by-line (LBL) algorithm and employed a weighted Principal Component Analysis (wPCA) to reconstruct the original RV time series. A multistep process was employed to determine the appropriate number of components, with the ultimate goal of subtracting the wPCA reconstruction of the per-line RV time series from the original data in order to correct systematic errors. Results . The application of Wapiti to GJ 251 successfully eliminated spurious signals from the RV time series and enabled the first detection in the near-IR of GJ 251b, a known temperate super-Earth with an orbital period of 14.2 days. This demonstrates that, even when systematics in SPIRou data are unidentified, it is still possible to effectively address them and fully realize the instrument’s capability for exoplanet detection. Additionally, in contrast to the use of optical RVs, this detection did not require us to filter stellar activity, highlighting a key advantage of near-IR RV measurements.
Related Topics
Concepts
Physics
Spurious relationship
Exoplanet
Context (archaeology)
Astrophysics
Stars
Series (stratigraphy)
Line (geometry)
Principal component analysis
Algorithm
Planet
Planetary system
Data reduction
Computer science
Data mining
Artificial intelligence
Machine learning
Mathematics
Paleontology
Geometry
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/0004-6361/202346472
- OA Status
- hybrid
- Cited By
- 15
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4378227518
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4378227518Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1051/0004-6361/202346472Digital Object Identifier
- Title
-
Wapiti: A data-driven approach to correct for systematics in RV dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-25Full publication date if available
- Authors
-
M. Ould-Elhkim, C. Moutou, J.‐F. Donati, Étienne Artigau, P. Fouqué, Neil J. Cook, A. Carmona, P. I. Cristofari, Eder Martioli, Florian Debras, X. Dumusque, J. H. C. Martins, G. Hébrard, C. Cadieux, X. Delfosse, René Doyon, Baptiste Klein, J. Gomes da Silva, T. Forveille, Thea Hood, Paul CharpentierList of authors in order
- Landing page
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https://doi.org/10.1051/0004-6361/202346472Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://doi.org/10.1051/0004-6361/202346472Direct OA link when available
- Concepts
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Physics, Spurious relationship, Exoplanet, Context (archaeology), Astrophysics, Stars, Series (stratigraphy), Line (geometry), Principal component analysis, Algorithm, Planet, Planetary system, Data reduction, Computer science, Data mining, Artificial intelligence, Machine learning, Mathematics, Paleontology, Geometry, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 6, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.planet-independent | 48 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5000127511 |
| countries_distinct_count | 7 |
| institutions_distinct_count | 21 |
| corresponding_institution_ids | https://openalex.org/I134560555, https://openalex.org/I17866349 |
| citation_normalized_percentile.value | 0.92280154 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |