2021
DOI: 10.3847/1538-3881/ac096d
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TOI–1278 B: SPIRou Unveils a Rare Brown Dwarf Companion in Close-in Orbit around an M Dwarf

Abstract: We present the discovery of an 18.5 ± 0.5 M Jup brown dwarf (BD) companion to the M0V star TOI-1278. The system was first identified through a percent-deep transit in Transiting Exoplanet Survey Satellite photometry; further analysis showed it to be a grazing transit of a Jupiter-sized object. Radial velocity (RV) follow-up with the SPIRou near-infrared high-resolution velocimeter and spectropolarimeter in the framework of the 300-night SPIRou Legacy Survey carried out at the Canada-France-Hawaii Telescope led… Show more

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Cited by 23 publications
(7 citation statements)
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“…For TOI-1278, the algorithm typically converges in three steps, with a typical residual uncertainty that decreases by a factor ∼30 between steps. The per-epoch RV uncertainty with the LBL is 9.4 m s −1 , which is a two-fold improvement compared to the previous published values, which were measured with a CCF (see Table 1 in Artigau et al 2021). The TOI-1278 Keplerian fit values are consistent with those published albeit with significantly reduced uncertainties; this target is currently the subject of ongoing monitoring with SPIRou and its extended RV monitoring will be presented in a future publication.…”
Section: Iterations Of the Line-by-line Algorithmmentioning
confidence: 61%
See 1 more Smart Citation
“…For TOI-1278, the algorithm typically converges in three steps, with a typical residual uncertainty that decreases by a factor ∼30 between steps. The per-epoch RV uncertainty with the LBL is 9.4 m s −1 , which is a two-fold improvement compared to the previous published values, which were measured with a CCF (see Table 1 in Artigau et al 2021). The TOI-1278 Keplerian fit values are consistent with those published albeit with significantly reduced uncertainties; this target is currently the subject of ongoing monitoring with SPIRou and its extended RV monitoring will be presented in a future publication.…”
Section: Iterations Of the Line-by-line Algorithmmentioning
confidence: 61%
“…For RV-stable targets (with planetary and activity signals at the few meters per second level), the algorithm converges in one or two steps. To test the convergence in the presence of a large RV signal, we revisited the TOI-1278 data set presented in Artigau et al (2021) where an 18 M Jup brown dwarf imparts a K ∼ 2300 m s −1 RV signal on its M0V host. The RV excursions for the system are at about half of the FWHM of stellar lines.…”
Section: Iterations Of the Line-by-line Algorithmmentioning
confidence: 99%
“…The SPIRou data reduction was performed using the 0.7.194 version of the APERO pipeline (Cook et al, in prep). Basic APERO steps have been described in a number of contributions (Artigau et al 2021;Cristofari et al 2021;Martioli et al 2022). In brief, the major APERO modules are as follows:…”
Section: Cfht/spiroumentioning
confidence: 99%
“…method to mitigate tellurics in PRVs for stabilized spectrographs such as HARPS and SPIRou (Artigau et al 2021;Cretignier et al 2021). 3.…”
Section: Extracting Rvs and Correcting For The Telluric Absorptionmentioning
confidence: 99%
“…This is equivalent to knowing the line depths to some degree (though not perfectly) prior to the final RV extraction, a fairly common situation in reality (e.g.,Artigau et al 2021). 15 We use the LMFIT package in Python with the L-BFGS algorithm, which we observed to have the best convergence properties for our calculations.…”
mentioning
confidence: 99%