arXiv:1505.04796v2 [astro-ph.EP] 25 May 2015 1
n-erpro inlwt napiueof amplitude an intr with precession, Earth’s signal the period include one-year not a does velocity it since barycentric tion, inaccurate an performs spectrograph T & 2014). Jenkins al. 2012; et E al. Anglada-Escudé the et 2014; of (Dumusque that stars nearest approaching the masses si orbiting with RV detect planets to to possible conform it that made has techniqu methods detection calibration signal instrumentation, of improvement orbit with The interaction lin gravitational spectral the the by of produced shift star, Doppler method, the (RV) velocity measuring radial by plan the performed detecting is for stars nearest successful the most biting the di of the one to systems, planets leading these astronomy, 1800 of more areas of ha dominant covery studies the exoplanet of of field one the come decades, two past the During INTRODUCTION 1 o.Nt .Ato.Soc. Astron. R. Not. Mon. .G Soto, G. M. or updated spectra and FEROS candidates archival planetary from new of Discovery I: RAFT c v iuaMcen 80 8-46Mcl atao Chile Santiago, Macul, 782-0436 4860, Mackenna Vicuña Av. † [email protected] email: ⋆ eateto lcrclEgneigadCne fAstro-E of Center and Engineering Electrical of Department eatmnod srnma nvria eCie aioE Camino Chile, de Universidad Astronomía, de Departamento http: 00RAS 0000 ülre l 21)hssonta h ieieo h FEROS the of pipeline the that shown has (2013) al. et Müller // exoplanet.eu ⋆ .S Jenkins, S. J. 000 0–0 00)Pitd2 aur 08(NL (MN 2018 January 24 Printed (0000) 000–000 , 1 u ftemtosue odetect to used methods the of Out . et.Teerslscnr htvr ea-orsasdown stars metal-poor very that activi magnetic confirm of results impact indicators These the activity ments. measure to of also Analysis and results days. our 130 of period orbital icvr fascn lntaon D101,wt minimum a with 110014, HD 70573. around HD and planet 122430 second HD s a orbiting the of companions of discovery evidence any no nor di found 47536, with we HD but the addition, 110014, confirm In We HD published. fits. and viously our 47536 to HD residuals 11977, the HD with agreement good in hs tr,aheigaln-empeiinof h the precision to computed long-term claimed and a are data achieving which raw stars, the these of reduced all have 122430, We the HD companion. for tary and data 110014 FEROS HD and reanalyzed 70573, have program HD We (RAFT) work. b specTra Motivated this from FEROS detections. results Archival planet of of inacc number Reanalysis be a the to of shown validity been the have on spectra stars FEROS author candidate using several planet-hosting measured lead of ties has number a data for archival conclusions of reanalysis recent A ABSTRACT ehius ailvlcte lnt n aelts ge satellites: and planets – velocities radial techniques: words: Key conditions. right the given planets giant form ⋆ .I Jones I. M. ∼ 2ms m 62 n planets. ing gneigU,PnicaUiesddCtlc eChile, de Católica Universidad Pontificia UC, ngineering hc is which bevtro11,LsCne,Snig,Chile Santiago, Condes, Las 1515, Observatorio l − oducing s and es, correc- 1 so a of es t or- ets gnals uomi for be- s arth † s- τ ei( nw tbesa ttefwms m few the at star stable known (a Ceti hmalitrsigcssi h td ffrainadevol and formation making of star, study nearby systems. the and planetary young in of very cases a interesting is all them HD ar them of stars one these and of and Four giants 110014 them. K orbiting HD planet claimed one 70573, are least and at FEROS HD have with observed were 47536, which of HD all 122430, 11977, HD stars al. et Desidera in 2013). 11952 al. HIP et (e.g. and Müller systems and 2014, 2013 some Jenkins & of Jones rejection in the 13044 and da instrument of this reanalysis the with to be leading data discovered, FEROS was using problem made this gr were some that led detections has the This question (2000). to al. et Setiawan by mentioned anot Thi also introduces observations. exposure also long which for time, especially the certainty, central of the time of initial instead the uses tion pipeline the addition, In 2013). nti ae epeetaraayi fFRSdt o the for data FEROS of reanalysis a present we paper this In A T E tl l v2.2) file style X ∼ 0ms m 10 ff rn ria aaeesta hs pre- those than parameters orbital erent ea lntsa interactions planet-star – neral − 1 ntekonsal star stable known the on npriua,sm ailveloci- radial some particular, In . lo st ofimteraiyof reality the confirm to us allow yo u ailvlct measure- velocity radial our on ty oarv tsrknl di strikingly at arrive to s o[Fe to hs eut,w aebegun have we results, these y cn lntcniaearound candidate planet econd tr D197 D47536, HD 11977, HD stars rt,trwn oedoubt some throwing urate, xsec fpaesaround planets of existence ailvlct aitosof variations velocity radial / eew ics h first the discuss we here H] aso 3.1 of mass − v tlatoeplane- one least at ave ial,w eotthe report we Finally, ∼ 1 07dx a indeed can dex, -0.7 ee,seToie al. et Tuomi see level, M τ su was issue s ei and Ceti, Jup bits observa- ataken ta and G e e un- her ff n a and erent ution oups fore HIP to 2 M. G. Soto et al.
2 OBSERVATIONS AND DATA REDUCTION The data were obtained using the Fiber-fed Extended Range Op- tical Spectrograph, FEROS (Kaufer et al. 1999), mounted on the 2.2m MPG/ESO telescope, at La Silla Observatory. The raw data are available in the ESO archive.2 The extraction of the FEROS spectra was done with the ESO Data Reduction System (DRS), available for FEROS users. The DRS performs a bias subtraction,
flat fielding, order tracing and extraction. The wavelength calibra- tion was computed using two calibration lamps (one ThAr and one ThArNe), having different exposure times, allowing sufficient line coverage across all of the spectral range (∼3500 - 9200 Å). The wavelength solution leads to a typical RMS of 0.005 Å from ∼900 emission lines. Additionally, the reduction pipeline applies a barycentric correction to the extracted data, but this option was disabled and applied later using our own code. 3000 3500 4000 4500 5000 5500 6000 6500 7000 JD - 2450000
2.1 Radial velocity calculation Figure 1. Radial measurements for τ Ceti from 2004 to 2013. The RMS of −1 The RVs were computed in a similar way as described in the data is 10 m s . Jones et al. (2013), according to the following procedure. First, each order was separated into four chunks and the doppler shift was The High Accuracy Radial velocity Planets Searcher, HARPS computed by applying a cross correlation (Tonry & Davis 1979) (Mayor et al. 2003), is located at the 3.6m ESO telescope at La Silla between the stellar spectrum and its corresponding template (high Observatory. Using this spectrograph, Müller et al. (2013) obtained / S N spectrum of the same star). For this purpose we used the IRAF a RMS of 6.9 m s−1 for τ Ceti, proving the accuracy of its measure- fxcor task (Fitzpatrick 1993). We only used 35 of the 39 orders ments. The data was obtained from the ESO Reduced Spectra.3 For available, rejecting one in the reddest part of the spectrum (because each star with HARPS data, the mean value of the RVs was sub- of the presence of telluric lines) and three in the bluest part of tracted for each epoch, obtaining velocities distributed around zero / the spectrum (low S N). That left us with a total of 140 chunks, m s−1. We did this to later combine the HARPS RVs with data from ff and therefore 140 di erent velocities per observation. Then, for other instruments, which were computed using a different template. each RV dataset, the mean velocity was computed, rejecting ev- CORALIE (Queloz et al. 2000) is at the 1.2m Swiss tele- ery point more than 2.5 sigma from the mean. The RVs that were scope located at the La Silla Observatory. In Ségransan et al. (2010) rejected constitute, on average, 17% of the total number of chunks they show that 40% of the measurements made with this instru- for each epoch. These rejected chunks were the same for most of ment reach a radial velocity accuracy of ∼ 6 m s−1 or better, and the datasets, at the very blue and red ends of the considered spec- 90% with an accuracy better than ∼ 10 m s−1. We obtained the trum, therefore for most of the epochs we used the same chunks CORALIE RV’s from the Systemic Console, which were men- when computing the RVs. The principal cause for rejection of a tioned in Setiawan et al. (2008, hereafter S08) but were never pub- / chunk was because of the low S N. lished. Similarly, we computed the cross correlation between the si- Finally, we used data from the CHIRON spectrograph multaneous calibration lamp (sky fiber) and one of the lamps that (Tokovinin et al. 2013), located at the 1.5m telescope at Cerro was used for the wavelength calibration of that night. The veloc- Tololo Inter-American Observatory (CTIO). The extraction of the ity we measured corresponds to the nightly drift that is produced data was done using the automatic reduction pipeline that is offered mainly by small pressure and temperature variations inside the to CHIRON users. The velocities were obtained using the I2 cell spectrograph. Finally, we applied the barycentric correction to the technique (Butler et al. 1996). This consists of passing the stellar measured velocities using the central time of the exposure and the light through a cell that contains iodine vapor, that superimposes actual coordinates of the star. absorption lines in the region between 5000 Å and 6000 Å. These To test our method we calculated the RV of 127 spectra of τ lines are then used as markers against which the doppler shift can Ceti, taken from 2004 to 2013. The resulting velocities are shown be measured. More detail can be found in Jones et al. (2014). With ∼ −1 in Figure 1. The RMS around zero is 10 m s , which is higher this instrument following our procedures it is possible to reach a ∼ −1 than the 4 m s obtained by Jones et al. (2013) for the same star, velocity precision of ∼ 6 m s−1. ff however the di erence is due to the limited data used in their work The fits for the RV curves were made using the Systemic Con- that spanned just over 3 years and were observed after 2007. Prior sole (Meschiari et al. 2009). We changed the objective function of to this date there was no standard calibration plan for FEROS, thus the minimizer to be the RMS of the fit, instead of the χ2. This was the wavelength solution was poorer. done because of the difference between the uncertainties obtained in the measurements for each instrument. The HARPS data have uncertainties on the order of ∼ 0.5 m s−1, whereas for the other 2.2 Data from other instruments datasets they are generally higher than 5 m s−1. When we tried In this work we also supplemented our data with spectra taken to minimize the χ2, the HARPS data would dominate the fitting with other instruments, namely HARPS, CORALIE and CHIRON.
3 http://archive.eso.org/wdb/wdb/adp/phase3_spectral/form? 2 http://archive.eso.org/eso/eso_archive_main.html phase3_collection=HARPS
c 0000 RAS, MNRAS 000, 000–000 RAFT I: New planetary candidates and updated orbits 3