ABSTRACT
We report the discovery of five new transiting hot-Jupiter planets discovered by the HATSouth survey, HATS-31b through HATS-35b. These planets orbit moderately bright stars with V magnitudes within the range of – mag while the planets span a range of masses of – and have somewhat inflated radii between and . These planets can be classified as typical hot Jupiters, with HATS-31b and HATS-35b being moderately inflated gas giant planets with radii of and , respectively, that can be used to constrain inflation mechanisms. All five systems present a higher Bayesian evidence for a fixed-circular-orbit model than for an eccentric orbit. The orbital periods range from day for HATS-35b) to day for HATS-31b. Additionally, HATS-35b orbits a relatively young F star with an age of Gyr. We discuss the analysis to derive the properties of these systems and compare them in the context of the sample of well-characterized transiting hot Jupiters known to date.
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1. INTRODUCTION
Planets that eclipse their host star during their orbit are key objects for the study of exoplanetary systems. The special geometry of transiting extrasolar planets (TEPs) enables measurements of, not only the planet size, but other important physical parameters, such as their masses and densities as well as the characterization of the alignment between the orbital axis of a planet and the spin axis of its host star through the Rossiter–McLaughlin effect. The majority of well-characterized TEPs have been discovered by wide-field photometric surveys, including Kepler (Borucki et al. 2010), the Wide Angle Search for Planets (Pollacco et al. 2006), the Hungarian-made Automated Telescope Network (HATNet; Bakos et al. 2004, 2013), COnvection ROtation and planetary Transits (CoRoT; Barge et al. 2008), and the Kilodegree Extremely Little Telescope survey (Siverd et al. 2012).
The known sample of exoplanets presents a great diversity of orbital and planetary parameters. Extending the sample of close-orbiting TEPs is a key goal of ground-based surveys because they allow for a large array of additional observational measurements, such as information about the chemical composition of the atmospheres of the planets using emission and transmission spectroscopy for sufficiently bright targets. The HATSouth survey (Bakos et al. 2013) has been designed to increase the sample of well-characterized TEPs. Some recent examples of planets discovered by HATSouth are HATS-18b (Penev et al. 2016) and HATS-25b through HATS-30b (Espinoza et al. 2016). A full list of TEPs discovered by the HATSouth survey, along with all discovery and follow-up light curves, can be found at http://hatsouth.org/.
In this paper, we present five new transiting planets discovered by the HATSouth network around moderately bright stars: HATS-31b through HATS-35b. In Section 2, we describe the photometric transit detection with HATSouth, as well as the data analysis methods and the procedures used to confirm the planetary nature of the transit signal using follow-up spectroscopic and photometric observations. In Section 3, we describe the analysis carried out to rule out false positive scenarios that could mimic a planetary signal, and to ascertain the stellar and planetary parameters. We discuss the implication of our results and compare them with all known transiting hot Jupiters to date in Section 4.
2. OBSERVATIONS
2.1. Photometric Detection
The HATSouth survey is a global network of homogeneous, completely automated wide-field telescopes located at three sites in the Southern Hemisphere: the Las Campanas Observatory (LCO) in Chile, the High Energy Stereoscopic Survey (H.E.S.S.) site in Namibia, and the Siding Spring Observatory (SSO) in Australia. Observations are performed using a Sloan-r filter with four-minute exposures. The HATSouth network was commissioned in 2009 and since then has proved to be a robust system for the monitoring of time-variable phenomena. Each HATSouth unit consists of four Takahashi E180 astrographs with an aperture of 18 cm and an f/2.8 focal ratio on a common mount, equipped with Apogee 4096 × 4096 U16M ALTA cameras. The observations and aperture photometry reduction pipeline used by the HATSouth survey have been described comprehensively in Bakos et al. (2013) and Penev et al. (2013).
Below, we describe specific details of the observations leading to the discovery of HATS-31b, HATS-32b, HATS-33b, HATS-34b, and HATS-35b. The HATSouth raw data were reduced to trend-filtered light curves using the External Parameter Decorrelation method (EPD; Bakos et al. 2010) and the Trend Filtering Algorithm (TFA; Kovács et al. 2005) to correct for systematic variations in the photometry before searching for transit signals. We searched the light curves for periodic box-shaped signals using the Box-fitting Least-Squares (BLS; Kovács et al. 2002) algorithm, and detected periodic transit signals in the light curves as shown in Figure 1. The reduced data are available in Table 3. We summarize below the transits detected in the light curves of the stars HATS-31 through HATS-35.
- 1.HATS-31 (2MASS 12464866-2425385; , J2000; V = ). A signal was detected with an apparent depth of ∼ mmag at a period of day.
- 2.HATS-32 (2MASS 23041801-2116189; , J2000; V = ). A signal was detected with an apparent depth of ∼ mmag at a period of day.
- 3.HATS-33 (2MASS 19383207-5519483; , J2000; V = ). A signal was detected with an apparent depth of ∼ mmag at a period of day.
- 4.HATS-34 (2MASS 00030587-6228096; , J2000; V=). A signal was detected with an apparent depth of ∼ mmag at a period of day.
- 5.HATS-35 (2MASS 19464518-6333561; , J2000; V = ). A signal was detected with an apparent depth of ∼ mmag at a period of day.
Subsequent spectroscopic and photometric follow-up observations for the five systems were carried out to confirm the transit signal and the planetary nature of these objects as described in the following sections.
Table 1. Summary of Photometric Observations
Instrument/Fielda | Date(s) | # Images | Cadenceb | Filter | Precisionc |
---|---|---|---|---|---|
(sec) | (mmag) | ||||
HATS-31 | |||||
HS-1.4/G565 | 2012 Dec–2013 Jun | 5750 | 282 | r | 8.0 |
HS-3.4/G565 | 2012 Dec–2013 Jul | 3850 | 280 | r | 8.1 |
HS-5.4/G565 | 2012 Dec–2013 Jul | 5187 | 287 | r | 7.5 |
LCOGT 1 m+CTIO/sinistro | 2015 Feb 28 | 53 | 226 | i | 1.1 |
LCOGT 1 m+SAAO/SBIG | 2015 Mar 06 | 137 | 139 | i | 3.6 |
Swope 1 m/e2v | 2015 Apr 02 | 281 | 54 | i | 4.0 |
HATS-32 | |||||
HS-2.3/G586 | 2010 Aug–2011 Nov | 4159 | 290 | r | 14.9 |
HS-4.3/G586 | 2010 Aug–2011 Nov | 4510 | 298 | r | 14.1 |
HS-6.3/G586 | 2010 Aug–2011 Nov | 498 | 293 | r | 14.4 |
PEST 0.3 m | 2014 Jul 09 | 145 | 133 | RC | 10.5 |
DK 1.54 m/DFOSC | 2014 Nov 04 | 120 | 145 | R | 2.0 |
Swope 1 m/e2v | 2015 May 28 | 53 | 189 | i | 6.6 |
HATS-33 | |||||
HS-1.4/G747 | 2013 Mar–2013 Oct | 4271 | 287 | r | 6.4 |
HS-2.4/G747 | 2013 Sep–2013 Oct | 1280 | 287 | r | 9.6 |
HS-3.4/G747 | 2013 Apr–2013 Nov | 8813 | 297 | r | 7.8 |
HS-4.4/G747 | 2013 Sep–2013 Nov | 1531 | 297 | r | 8.7 |
HS-5.4/G747 | 2013 Mar–2013 Nov | 6049 | 297 | r | 5.9 |
HS-6.4/G747 | 2013 Sep–2013 Nov | 1557 | 290 | r | 9.0 |
LCOGT 1 m+CTIO/sinistro | 2015 May 20 | 128 | 48 | i | 4.7 |
HATS-34 | |||||
HS-2.4/G754 | 2012 Sep–2012 Dec | 3805 | 282 | r | 9.1 |
HS-4.4/G754 | 2012 Sep–2013 Jan | 2865 | 292 | r | 10.0 |
HS-6.4/G754 | 2012 Sep–2012 Dec | 2975 | 285 | r | 9.9 |
PEST 0.3 m | 2014 Oct 26 | 54 | 211 | RC | 5.3 |
DK 1.54 m/DFOSC | 2014 Nov 03 | 97 | 125 | R | 1.3 |
AAT 3.9 m/IRIS2d | 2015 Sep 25 | 715 | 10 | KS | 8.1 |
HATS-35 | |||||
HS-2.4/G778 | 2011 May–2012 Nov | 3013 | 287 | r | 9.6 |
HS-4.4/G778 | 2011 Jul–2012 Nov | 3699 | 298 | r | 7.5 |
HS-6.4/G778 | 2011 Apr–2012 Oct | 2294 | 298 | r | 8.5 |
LCOGT 1 m+CTIO/sinistro | 2015 Jun 12 | 38 | 163 | i | 1.2 |
LCOGT 1 m+SAAO/SBIG | 2015 Jul 14 | 19 | 144 | i | 0.8 |
LCOGT 1 m+CTIO/sinistro | 2015 Jul 15 | 79 | 162 | i | 1.1 |
LCOGT 1 m+SSO/SBIG | 2015 Jul 18 | 106 | 133 | i | 1.6 |
LCOGT 1 m+CTIO/sinistro | 2015 Jul 24 | 105 | 162 | i | 0.8 |
Notes.
aFor HATSouth data, we list the HATSouth unit, CCD and field name from which the observations are taken. HS-1 and -2 are located at Las Campanas Observatory in Chile, HS-3 and -4 are located at the H.E.S.S. site in Namibia, and HS-5 and -6 are located at Siding Spring Observatory in Australia. Each unit has 4 ccds. Each field corresponds to one of 838 fixed pointings used to cover the full 4π celestial sphere. All data from a given HATSouth field and CCD number are reduced together, while detrending through External Parameter Decorrelation (EPD) is done independently for each unique unit+CCD+field combination. bThe median time between consecutive images rounded to the nearest second. Due to factors such as weather, the day–night cycle, guiding, and focus corrections, the cadence is only approximately uniform over short timescales. cThe rms of the residuals from the best-fit model. dThis light curve covers a predicted secondary eclipse event, it is not included in the analysis carried out to determine the system parameters for HATS-34; however, it is included in the analysis carried out to exclude blend scenarios.Download table as: ASCIITypeset image
2.2. Spectroscopic Observations
In Table 2, we summarize all spectroscopic observations taken for HATS-31 to HATS-35.
Table 2. Summary of Spectroscopy Observations
Instrument | UT Date(s) | # Spec. | Res. | S/N Rangea | b | RV Precisionc |
---|---|---|---|---|---|---|
/λ/1000 | () | () | ||||
HATS-31 | ||||||
ANU 2.3 m/WiFeS | 2014 Dec 30–31 | 2 | 7 | 45–56 | −9.3 | 4000 |
ANU 2.3 m/WiFeS | 2015 Jan 1 | 1 | 3 | 77 | ⋯ | ⋯ |
ESO 3.6 m/HARPS | 2015 Feb 14–19 | 6 | 115 | 12–22 | −8.705 | 17 |
HATS-32 | ||||||
ANU 2.3 m/WiFeS | 2014 Jun 3–5 | 3 | 7 | 19–61 | 9.1 | 4000 |
ANU 2.3 m/WiFeS | 2014 Jun 4 | 1 | 3 | 69 | ⋯ | ⋯ |
MPG 2.2 m/FEROS | 2014 Jul–2015 Jun | 8 | 48 | 20–45 | 12.423 | 30 |
HATS-33 | ||||||
ANU 2.3 m/WiFeS | 2014 Dec–2015 Mar | 4 | 7 | 51–71 | 11.420 | 4000 |
ANU 2.3 m/WiFeS | 2015 Mar 4 | 1 | 3 | 44 | ⋯ | ⋯ |
Euler 1.2 m/Coralie | 2015 Mar–Jun | 5 | 60 | 18–25 | 11.056 | 42 |
ESO 3.6 m/HARPS | 2015 Apr 6–8 | 3 | 115 | 19–27 | 11.077 | 2 |
AAT 3.9 m/CYCLOPS2 | 2015 May 7–13 | 11 | 70 | 17–44 | 11.066 | 23 |
MPG 2.2 m/FEROS | 2015 May–Jul | 4 | 48 | 40–73 | 11.057 | 38 |
HATS-34 | ||||||
ANU 2.3 m/WiFeS | 2014 Oct 4 | 1 | 3 | 50 | ⋯ | ⋯ |
ANU 2.3 m/WiFeS | 2014 Oct 4–10 | 3 | 7 | 55–95 | 16.4 | 4000 |
MPG 2.2 m/FEROSd | 2015 Jun–Jul | 10 | 48 | 16–43 | 17.734 | 23 |
HATS-35 | ||||||
ANU 2.3 m/WiFeS | 2014 Oct 5 | 1 | 3 | 99 | ⋯ | ⋯ |
ANU 2.3 m/WiFeS | 2014 Oct 11 | 1 | 7 | 102 | −14.3 | 4000 |
Euler 1.2 m/Coralie | 2014 Nov–2015 Jun | 5 | 60 | 16–21 | −14.173 | 110 |
ESO 3.6 m/HARPS | 2015 Apr 7–8 | 2 | 115 | 15–23 | −14.245 | 42 |
MPG 2.2 m/FEROS | 2015 Jun–Jul | 10 | 48 | 41–63 | −14.185 | 20 |
Notes.
aS/N per resolution element near 5180 Å. bFor high-precision radial velocity observations included in the orbit determination, this is the zero-point velocity from the best-fit orbit. For other instruments, it is the mean value. We do not provide this quantity for the lower resolution WiFeS observations, which were only used to measure stellar atmospheric parameters. cFor high-precision radial velocity observations included in the orbit determination, this is the scatter in the residuals from the best-fit orbit (which may include astrophysical jitter); for other instruments, this is either an estimate of the precision (not including jitter) or the measured standard deviation. We do not provide this quantity for low-resolution observations from the ANU 2.3 m/WiFeS. dThree of the MPG 2.2 m/FEROS observations of HATS-34 were excluded from the analysis due to having low S/N or high sky contamination.Download table as: ASCIITypeset image
2.2.1. Reconnaissance Spectroscopy
To exclude stellar binary false positives and confirm planetary candidates detected by the HATSouth network, we carry out initial low- and medium-resolution reconnaissance spectroscopy before attempting higher precision observations to determine orbital parameters. These reconnaissance observations consist of spectral typing observations of all the objects using the Wide Field Spectrograph (WiFeS) on the ANU 2.3 m telescope at SSO. The observing strategy and data reduction procedure for WiFeS data are described in detail in Bayliss et al. (2013). The number of medium- and low-resolution spectra obtained for each system are summarized in Table 2. HATS-31 through HATS-35 were confirmed as single-lined stars by these WiFeS observations. Using these low-resolution spectra, we obtained approximate stellar atmospheric parameters that indicate HATS-31 is an F-type star, while HATS-32 through HATS-35 are G-type stars. Medium-resolution WiFeS observations with spectral resolution are then used to rule out possible eclipsing stellar companions in any of these systems by measuring no radial velocity variations in excess of ∼5 km s−1.
2.2.2. High-resolution Spectroscopy
Following reconnaissance spectroscopy to reject possible false positives like blended binary systems and to obtain first estimates of stellar parameters, stable and high-precision spectroscopic measurements are obtained to collect high-precision radial velocity (RV) variations and line bisector (BS) time series for each of the candidates. Several high-resolution spectra were acquired for these objects with a combination of the FEROS (Kaufer & Pasquini 1998), HARPS (Mayor et al. 2003), Coralie (Queloz et al. 2001), and CYCLOPS2+UCLES spectrographs (Horton et al. 2012) between 2014 July and 2015 July.
Altogether, we obtained 11 spectra using CYCLOPS2+UCLES at the 3.9 m Anglo-Australian Telescope (AAT), 11 spectra using HARPS at the ESO 3.6 m telescope, 10 spectra using CORALIE at the Euler 1.2 m telescope, and 32 spectra with FEROS at the MPG 2.2 m telescope. The data from the FEROS, HARPS, and Coralie instruments were reduced homogeneously with an automated pipeline for echelle spectrographs described in detail in Jordán et al. (2014). The CYCLOPS2 observations were reduced and analyzed following Addison et al. (2013). Combined high-precision RV and BS measurements are shown for each system folded with the period of the transit signal in Figure 2. Note that BS measurements from CYCLOPS2 for HATS-33 are missing due to not having a BS pipeline for this instrument. The high-resolution spectroscopic data are provided in Table 8 at the end of the paper.
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Standard image High-resolution imageAll the candidates show clear sinusoidal variation in RV that are in phase with the observed transits. From these observations, we estimate orbital parameters, as well as confirm the mass of the companion for systems that host planets, and measure precisely the stellar atmospheric parameters.
2.3. Photometric Follow-up Observations
To obtain higher precision light curves of the transit event, we photometrically followed up all the planets using facilities with larger apertures than the HATSouth telescopes. Photometric follow-up observations are summarized in Table 1, including the cadence, filter, and photometric precision, and plotted in Figure 3. For all objects, the follow-up light curves were consistent with the discovery observations. These observations allow us to refine the transit ephemeris of the systems and their physical parameters.
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Standard image High-resolution imageThe egress of HATS-31b was observed on 2015 February 28 and 2015 April 02 with the Las Cumbres Observatory Global Telescope (LCOGT) 1 m telescope network (Brown et al. 2013) and the Swope 1 m telescopes, respectively. Additionally, an almost full transit of HATS-31b was observed with LCOGT on 2015 March 6. Another three partial transits of HATS-32b were observed with the PEST 0.3 m, DK 1.54 m, and the Swope 1 m telescopes. The egress of HATS-33 was measured with the 1 m LCOGT at CTIO on 2015 May 20. Both ingress and egress of HATS-34b were observed by the PEST 0.3 m and DK 1.54 m telescopes. Finally, five partial transit events of HATS-35b were obtained between 2015 June 12 and 2015 July 24 using the LCOGT network at CTIO, SAAO, and SSO. The data analysis procedure of these photometric observations has been described comprehensively in previous papers of HATSouth planet discoveries (see, e.g., Brahm et al. 2015; Hartman et al. 2015; Mancini et al. 2015).
We also monitored HATS-34 in the infrared KS-band during the time of predicted secondary eclipse using the AAT+IRIS2. Observations and data reduction were carried out in the manner described in Zhou et al. (2015). Details of this observation are set out in Table 1, and the observations are used to help rule out blend scenarios in Section 3.2.
2.4. Lucky Imaging Observations
High-spatial-resolution (or "lucky") imaging observations of HATS-31 and HATS-34 candidates were obtained using the Astralux Sur camera on the New Technology Telescope (NTT) at the La Silla Observatory (Hippler et al. 2009). Data were reduced and contrast curves generated as described in Espinoza et al. (2016). We show the resulting combination of the best 10% of the images acquired for each target for HATS-31 and HATS-34 in Figure 4. The resulting images show an asymmetric extended profile for HATS-31 that is visible in all of the Astralux images. This object was observed during twilight and the observations were obtained out of focus. The profile is more symmetric for HATS-34.
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Standard image High-resolution imageIn Figure 5, we show the generated contrast curves for HATS-31 and HATS-34. We simulate the point spread function (PSF) for our targets as a weighted sum of a Moffat profile and an asymmetric Gaussian following the model description in Espinoza et al. (2016). The effective full width at half maximum (FWHM) of this model was measured numerically at different angles by finding the points at which the model has half of the peak flux. The median of these measurements is taken as the resolution limit of our observations. For HATS-31, the effective FWHM is 6.58 ± 0.36 pixels, which corresponds to a resolution limit of 151.4 ± 8.3 milli-arcseconds (mas). In the case of HATS-34, the effective FWHM is 4.17 ± 0.33 pixels, which gives a resolution limit of 96.0 ± 7.5 mas.
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Standard image High-resolution image3. ANALYSIS
3.1. Properties of the Parent Star
To derive the physical properties of their planetary companions, we first obtained the atmospheric parameters of the host stars. We used high-resolution spectra of HATS-31 through HATS-35 obtained with FEROS, together with the Zonal Atmospherical Stellar Parameter Estimator code (ZASPE; Brahm et al. 2016) to determine the effective temperature (), surface gravity (), metallicity (), and projected equatorial rotation velocity () for each star.
and values obtained using ZASPE were used with the stellar density , which was determined from the combined light-curve and RV analysis to determine a first estimate of the stellar physical parameters following the method described in Sozzetti et al. (2007). We used the Yonsei-Yale isochrones (Y2; Yi et al. 2001) to search for the parameters (stellar mass, radius, and age) that best match our estimated , , and values. Based on this comparison, we determine a revised value of and then perform a second iteration of ZASPE, holding fixed to this value while fitting for and . These are then combined with and once again compared to the Y2 isochrones to produce our final adopted values for the physical stellar parameters.
Table 3. Light-curve Data for HATS-31–HATS-35
Objecta | BJDb | Magc | Mag(orig)d | Filter | Instrument | |
---|---|---|---|---|---|---|
(2,400,000+) | ||||||
HATS-31 | 56441.63105 | 0.00775 | 0.00473 | ⋯ | r | HS |
HATS-31 | 56330.15845 | −0.00143 | 0.00435 | ⋯ | r | HS |
HATS-31 | 56424.74146 | 0.00333 | 0.00446 | ⋯ | r | HS |
HATS-31 | 56448.38748 | −0.00568 | 0.00425 | ⋯ | r | HS |
HATS-31 | 56357.18277 | 0.01570 | 0.00450 | ⋯ | r | HS |
HATS-31 | 56417.98607 | −0.00175 | 0.00432 | ⋯ | r | HS |
HATS-31 | 56404.47434 | −0.00078 | 0.00556 | ⋯ | r | HS |
HATS-31 | 56401.09654 | −0.00630 | 0.00440 | ⋯ | r | HS |
HATS-31 | 56414.60840 | 0.00526 | 0.00417 | ⋯ | r | HS |
HATS-31 | 56390.96315 | −0.00847 | 0.00457 | ⋯ | r | HS |
Notes.
aEither HATS-31, HATS-32, HATS-33, HATS-34, or HATS-35. bBarycentric Julian Date is computed directly from the UTC time without correction for leap seconds. cThe out-of-transit level has been subtracted. For observations made with the HATSouth instruments (identified by "HS" in the "Instrument" column), these magnitudes have been corrected for trends using the EPD and TFA procedures applied prior to fitting the transit model. This procedure may lead to an artificial dilution in the transit depths. The blend factors for the HATSouth light curves are listed in Tables 6 and 7. For observations made with follow-up instruments (anything other than "HS" in the "Instrument" column), the magnitudes have been corrected for a quadratic trend in time, and for variations correlated with three PSF shape parameters, fit simultaneously with the transit. dRaw magnitude values without correction for the quadratic trend in time, or for trends correlated with the shape of the PSF. These are only reported for the follow-up observations.Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.
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The adopted parameters for HATS-31, HATS-32, and HATS-33 are given in Table 4, and for HATS-34 and HATS-35 in Table 5. We show the locations of each of the stars on the – diagram (similar to a Hertzsprung–Russell diagram) in Figure 6. This analysis shows that HATS-31 has a mass of , a radius of , and an age of Gyr. HATS-32 has a mass of , a radius of , and an age of Gyr. HATS-33 has a mass of , a radius of , and an age of Gyr. HATS-34 has a mass of , a radius of , and an age of Gyr. Finally, HATS-35 has a mass of , a radius of , and an age of Gyr. Distances for each star are calculated by comparing the broadband photometry of Table 4 to the predicted magnitudes in each filter from the isochrones. To determine the extinction, we assumed a extinction law (Cardelli et al. 1989). The distances for these systems range between pc to pc for HATS-33 and HATS-31, respectively.
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Standard image High-resolution imageTable 4. Stellar Parameters for HATS-31, HATS-32 and HATS-33
HATS-31 | HATS-32 | HATS-33 | ||
---|---|---|---|---|
Parameter | Value | Value | Value | Source |
Astrometric properties and cross-identifications | ||||
2MASS-ID | 2MASS 12464866-2425385 | 2MASS 23041801-2116189 | 2MASS 19383207-5519483 | |
GSC-ID | GSC 6688-00298 | GSC 6400-00924 | GSC 8778-01635 | |
R.A. (J2000) | 2MASS | |||
Decl. (J2000) | 2MASS | |||
() | UCAC4 | |||
() | UCAC4 | |||
Spectroscopic properties | ||||
(K) | 6050 ± 120 | 5700 ± 110 | 5659 ± 85 | ZASPEa |
ZASPE | ||||
() | ZASPE | |||
() | 3.90 | 4.44 | 5.01 | Assumed |
() | 1.27 | 1.04 | 1.01 | Assumed |
() | FEROS or HARPSb | |||
Photometric properties | ||||
B (mag) | APASSc | |||
V (mag) | APASSc | |||
g (mag) | APASSc | |||
r (mag) | APASSc | |||
i (mag) | APASSc | |||
J (mag) | 2MASS | |||
H (mag) | 2MASS | |||
Ks (mag) | 2MASS | |||
Derived properties | ||||
() | YY++ZASPEd | |||
() | YY++ZASPE | |||
(cgs) | YY++ZASPE | |||
() | Light curves | |||
()e | YY+Light curves+ZASPE | |||
() | YY++ZASPE | |||
MV (mag) | YY++ZASPE | |||
MK (mag,ESO) | YY++ZASPE | |||
Age (Gyr) | YY++ZASPE | |||
AV (mag) | YY++ZASPE | |||
Distance (pc) | YY++ZASPE |
Notes. For all three systems, the fixed-circular-orbit model has higher Bayesian evidence than the eccentric-orbit model. We therefore assume a fixed circular orbit in generating the parameters listed for these systems.
aZASPE = Zonal Atmospherical Stellar Parameter Estimator routine for the analysis of high-resolution spectra (Brahm et al. 2016), applied to the HARPS spectra of HATS-31, and the FEROS spectra of the other systems. These parameters rely primarily on ZASPE, but also have a small dependence on the iterative analysis incorporating the isochrone search and global modeling of the data. bFrom HARPS for HATS-31 and HATS-33 and from FEROS for HATS-32. The error on is determined from the orbital fit to the velocity measurements, and does not include the systematic uncertainty in transforming the velocities to the IAU standard system. The velocities have not been corrected for gravitational redshifts. cFrom APASS DR6 (Henden et al. 2009), as listed in the UCAC 4 catalog (Zacharias et al. 2012). dYY++ZASPE = based on the YY isochrones (Yi et al. 2001), as a luminosity indicator, and the ZASPE results. eIn the case of , we list two values. The first value is determined from the global fit to the light curves and RV data, without imposing a constraint that the parameters match the stellar evolution models. The second value results from restricting the posterior distribution to combinations of ++ that match a YY stellar model.Download table as: ASCIITypeset image
Table 5. Stellar Parameters for HATS-34 and HATS-35
HATS-34 | HATS-35 | ||
---|---|---|---|
Parameter | Value | Value | Source |
Astrometric properties and cross-identifications | |||
2MASS-ID | 2MASS 00030587-6228096 | 2MASS 19464518-6333561 | |
GSC-ID | GSC 8840-01777 | GSC 9089-00775 | |
R.A. (J2000) | 2MASS | ||
Decl. (J2000) | 2MASS | ||
() | 2.1±1.4 | 16.7±1.3 | UCAC4 |
() | 4.7±1.5 | −12.1±1.3 | UCAC4 |
Spectroscopic properties | |||
(K) | 5380 ± 73 | 6300 ± 100 | ZASPEa |
0.250±0.070 | 0.210±0.060 | ZASPE | |
() | 4.07±0.58 | 8.66±0.34 | ZASPE |
() | 3.56 | 3.83 | Assumed |
() | 0.88 | 1.51 | Assumed |
() | 17735.1±9.3 | −14175±13 | FEROS or HARPSb |
Photometric properties | |||
B (mag) | 14.595±0.010 | 13.26±0.10 | APASSc |
V (mag) | 13.849±0.010 | 12.56±0.10 | APASSc |
g (mag) | 14.182±0.010 | ⋯ | APASSc |
r (mag) | 13.650±0.010 | ⋯ | APASSc |
i (mag) | 13.459±0.050 | ⋯ | APASSc |
J (mag) | 12.513±0.024 | 11.439±0.025 | 2MASS |
H (mag) | 12.139±0.022 | 11.192±0.023 | 2MASS |
Ks (mag) | 12.095±0.019 | 11.118±0.025 | 2MASS |
Derived properties | |||
() | 0.955±0.031 | 1.317±0.040 | YY++ZASPEd |
() | 0.980±0.047 | YY++ZASPE | |
(cgs) | 4.435±0.043 | 4.244±0.023 | YY++ZASPE |
() | 1.44±0.25 | Light curves | |
()e | 1.44±0.22 | YY+Light Curves+ZASPE | |
() | 0.724±0.089 | 2.92±0.31 | YY++ZASPE |
MV (mag) | 5.26±0.15 | 3.58±0.12 | YY++ZASPE |
MK (mag,ESO) | 3.41±0.11 | 2.399±0.073 | YY++ZASPE |
Age (Gyr) | 7.7±2.7 | 2.13±0.51 | YY++ZASPE |
AV (mag) | 0.0000±0.0063 | 0.25±0.14 | YY++ZASPE |
Distance (pc) | YY++ZASPE |
Notes. For HATS-34 and HATS-35, the fixed-circular-orbit model has higher Bayesian evidence than the eccentric-orbit model. We therefore assume a fixed circular orbit in generating the parameters listed for both systems.
aZASPE = Zonal Atmospherical Stellar Parameter Estimator routine for the analysis of high-resolution spectra (Brahm et al. 2016), applied to the FEROS spectra of each star. These parameters rely primarily on ZASPE, but also have a small dependence on the iterative analysis incorporating the isochrone search and global modeling of the data. bFrom FEROS for both objects. The error on is determined from the orbital fit to the velocity measurements and does not include the systematic uncertainty in transforming the velocities to the IAU standard system. The velocities have not been corrected for gravitational redshifts. cFrom APASS DR6 (Henden et al. 2009) as listed in the UCAC 4 catalog (Zacharias et al. 2012). dYY++ZASPE = based on the YY isochrones (Yi et al. 2001), as a luminosity indicator, and the ZASPE results. eIn the case of , we list two values. The first value is determined from the global fit to the light curves and RV data, without imposing a constraint that the parameters match the stellar evolution models. The second value results from restricting the posterior distribution to combinations of ++ that match a YY stellar model.Download table as: ASCIITypeset image
3.2. Excluding Blend Scenarios
In order to exclude blend scenarios, we carried out an analysis following Hartman et al. (2012). We attempt to model the available photometric data (including light curves and catalog broadband photometric measurements) for each object as a blend between an eclipsing binary star system and a third star along the line of sight. The physical properties of the stars are constrained using the Padova isochrones (Girardi et al. 2000), while we also require that the brightest of the three stars in the blend have atmospheric parameters consistent with those measured with ZASPE. We also simulate composite cross-correlation functions (CCFs) and use them to predict velocities and BSs for each blend scenario considered.
Based on this analysis, we rule out blended stellar eclipsing binary scenarios for all five systems. However, in general, we cannot rule out the possibility that one or more of these objects may be an unresolved binary star system with one component hosting a transiting planet. The results for each object are as follows.
- 1.HATS-31: all blend models tested can be rejected with at least confidence based solely on the photometry. Those blend models that cannot be rejected based on the photometry with at least confidence predict large amplitude radial valocity and/or BS variations (i.e., greater than 1 , which is well above what is observed).
- 2.HATS-32: all blend models tested yield higher , based solely on the photometry, than the model of a single star with a transiting planet. Those blend models that cannot be rejected with confidence predict either velocity scatter above 200 (and a variation that does not look like the observed Keplerian variation), or a BS variation above 300 .
- 3.HATS-33: all blend models tested can be rejected with at least confidence based solely on the photometry. Those models that are not rejected with at least confidence would have been easily identified as composite systems based on the CCFs computed from their spectra.
- 4.HATS-34: all blend models tested can be rejected with at lest confidence based solely on the photometry. In particular, the best-fit blend model predicts a 5 mmag secondary eclipse in the KS-band which was not seen in the AAT/IRIS2 observations. Our blend analysis allows for a quadratic trend in the follow-up light curves when fitting the data, and the best-fit model includes a trend that cancels to some degree the predicted secondary eclipse. If we do not allow for such a trend in fitting the data, then the blend models are actually rejected with greater than confidence. Some of the blend models that are rejected at 4–5σ confidence (when the trend is included) do predict velocity and BS variations that have comparable amplitudes to the observed variations. In detail, however, the simulated blend velocities do not fit the data nearly as well as a single star with a planet. The BS variation is, however, captured somewhat better by the blend model. Nonetheless, given the constraints set by the photometry and radial velocities, we consider the blended stellar eclipsing binary model to be ruled out, and conclude that the observed BS variation must be due to some other cause (e.g., sky contamination or the presence of an unresolved star diluting the transiting planet system).
- 5.HATS-35: all blend models tested can be rejected with greater than confidence based on the photometry alone. This is primarily driven by the large amplitude out-of-transit variation predicted for blend models capable of fitting the primary transit. The HATSouth light curve strongly excludes any such out-of-transit variation.
3.3. Global Modeling of the Data
We modeled the HATSouth photometry, the follow-up photometry, and the high-precision RV measurements following Pál et al. (2008), Bakos et al. (2010), and Hartman et al. (2012). We fit Mandel & Agol (2002) transit models to the light curves, allowing for a dilution of the HATSouth transit depth as a result of blending from neighboring stars and over-correction by the trend-filtering method. For the follow-up light curves, we include a quadratic trend in time, and linear trends with up to three parameters describing the shape of the PSF in our model for each event to correct for systematic errors in the photometry. We fit Keplerian orbits to the radial velocity data allowing the zero-point for each instrument to vary independently in the fit, and allowing for RV noise, which we also vary as a free parameter for each instrument. We used a Differential Evolution Markov Chain Monte Carlo procedure to explore the fitness landscape and to determine the posterior distribution of the parameters. Note that we tried fitting both fixed-circular-orbits and free-eccentricity models to the data. We estimate the Bayesian evidence for the fixed-circular and free-eccentricity models for each system, and find that for HATS-31b through HATS-35b the fixed-circular-orbit models have higher evidence than the free-eccentricity models. For these systems, we therefore adopt the parameters that come from the fixed-circular-orbit models. The resulting parameters for HATS-31b, HATS-32b, and HATS-33b are listed in Table 6, while for HATS-34b and HATS-35b they are listed in Table 7.
Table 6. Orbital and Planetary Parameters for HATS-31b, HATS-32b, and HATS-33b
HATS-31b | HATS-32b | HATS-33b | |
---|---|---|---|
Parameter | Value | Value | Value |
Light-curve parameters | |||
P (days) | 3.377960±0.000012 | 2.8126548±0.0000055 | 2.5495551±0.0000061 |
Tc ()a | 2456960.1476±0.0011 | 2456454.6252±0.0011 | 2456497.23181±0.00050 |
T14 (days)a | 0.1914±0.0043 | 0.1189±0.0036 | 0.1115±0.0018 |
(days)a | 0.0202±0.0042 | 0.0145±0.0025 | 0.0135±0.0016 |
5.49±0.43 | 7.83±0.32 | ||
b | 11.67±0.16 | 19.18±0.52 | 20.45±0.23 |
/ | 0.0908±0.0049 | 0.1171±0.0039 | 0.1237±0.0080 |
b2 | |||
i (deg) | 87.1±1.2 | 87.62±0.92 | |
HATSouth blend factorsc | |||
Blend factor | 0.648±0.071 | 0.822±0.068 | 0.769±0.099 |
Limb-darkening coefficientsd | |||
⋯ | ⋯ | ||
⋯ | ⋯ | ||
RV parameters | |||
K () | 170.1±6.8 | ||
ee | |||
RV jitter FEROS ()f | ⋯ | ||
RV jitter HARPS () | ⋯ | ||
RV jitter Coralie () | ⋯ | ⋯ | |
RV jitter CYCLOPS2 () | ⋯ | ⋯ | 19.4±7.2 |
Planetary parameters | |||
() | 0.88±0.12 | 0.92±0.10 | 1.192±0.053 |
() | 1.64±0.22 | ||
g | |||
() | 0.58±0.16 | 0.79±0.19 | |
(cgs) | 2.90±0.12 | 3.158±0.092 | 3.289±0.072 |
a (au) | 0.0478±0.0012 | 0.04024±0.00053 | 0.03727±0.00037 |
(K) | 1823±81 | 1437±58 | 1429±38 |
Θh | 0.0396±0.0079 | 0.0531±0.0076 | 0.0675±0.0061 |
(cgs)i⋯ | 9.397±0.076 | 8.984±0.070 | 8.973±0.046 |
Notes. For all three systems, the fixed-circular-orbit model has a higher Bayesian evidence than the eccentric-orbit model. We therefore assume a fixed circular orbit in generating the parameters listed for these systems.
aTimes are in Barycentric Julian Date calculated directly from UTC without correction for leap seconds. : reference epoch of mid-transit that minimizes the correlation with the orbital period. : total transit duration, time between first to last contact; : ingress/egress time, time between first and second, or third and fourth contact. bReciprocal of the half duration of the transit used as a jump parameter in our Markov chain Monte Carlo (MCMC) analysis in place of . It is related to by the expression (Bakos et al. 2010). cScaling factor applied to the model transit that is fit to the HATSouth light curves. This factor accounts for dilution of the transit due to blending from neighboring stars and over-filtering of the light curve. These factors are varied in the fit, and we allow independent factors for observations obtained with different HATSouth camera and field combinations. dValues for a quadratic law, adopted from the tabulations by Claret (2004) according to the spectroscopic (ZASPE) parameters listed in Table 4. eFor fixed-circular-orbit models, we list the 95% confidence upper limit on the eccentricity determined when and are allowed to vary in the fit. fTerm added in quadrature to the formal RV uncertainties for each instrument. This is treated as a free parameter in the fitting routine. In cases where the jitter is consistent with zero, we list the 95% confidence upper limit. gCorrelation coefficient between the planetary mass and radius estimated from the posterior parameter distribution. hThe Safronov number is given by (see Hansen & Barman 2007). iIncoming flux per unit surface area, averaged over the orbit.Download table as: ASCIITypeset image
Table 7. Orbital and Planetary Parameters for HATS-34b and HATS-35b
HATS-34b | HATS-35b | |
---|---|---|
Parameter | Value | Value |
Light-curve parameters | ||
P (days) | 2.1061607±0.0000047 | 1.8209993±0.0000016 |
Tc ()a | 2456634.85732±0.00075 | 2456981.80199±0.00041 |
T14 (days)a | 0.0648±0.0029 | 0.1299±0.0010 |
(days)a | 0.081±0.011 | 0.01314±0.00083 |
6.96±0.34 | ||
b | 61±11 | 17.13±0.11 |
/ | 0.150±0.014 | 0.1051±0.0012 |
b2 | ||
i (deg) | ||
HATSouth blend factorsc | ||
Blend factor | 1 ± 0 | |
Limb-darkening coefficientsd | ||
⋯ | ||
⋯ | ||
⋯ | ||
⋯ | ||
RV parameters | ||
K () | ||
ee | ||
ω (deg) | ⋯ | |
(deg) | ⋯ | |
(deg) | ⋯ | |
(deg) | ⋯ | |
(deg) | ⋯ | |
RV jitter FEROS ()f | ||
RV jitter HARPS () | ⋯ | |
RV jitter Coralie () | ⋯ | |
Planetary parameters | ||
() | ||
() | ||
g | ||
() | ||
(cgs) | 3.05±0.12 | |
a (au) | 0.03166±0.00034 | 0.03199±0.00033 |
(K) | 1445±42 | 2037±43 |
Θ h | 0.0430±0.0068 | |
(cgs)i | 8.994±0.050 | 9.590±0.037 |
Notes. For HATS-34 and HATS-35, the fixed-circular-orbit model has higher Bayesian evidence than the eccentric-orbit model.
aTimes are in Barycentric Julian Date calculated directly from UTC without correction for leap seconds. : reference epoch of mid-transit that minimizes the correlation with the orbital period. : total transit duration, time between first to last contact; : ingress/egress time, time between first and second, or third and fourth contact. bReciprocal of the half duration of the transit used as a jump parameter in our MCMC analysis in place of . It is related to by the expression (Bakos et al. 2010). cScaling factor applied to the model transit that is fit to the HATSouth light curves. This factor accounts for dilution of the transit due to blending from neighboring stars and over-filtering of the light curve. These factors are varied in the fit, and we allow independent factors for observations obtained with different HATSouth camera and field combinations. For HATS-35, we run TFA in signal-reconstruction mode and have also confirmed that there are no diluting neighbors on the HATSouth images. We therefore fix the blend factor to unity for this system. dValues for a quadratic law, adopted from the tabulations by Claret (2004) according to the spectroscopic (ZASPE) parameters listed in Table 5. eFor fixed-circular-orbit models, we list the 95% confidence upper limit on the eccentricity determined when and are allowed to vary in the fit. fTerm added in quadrature to the formal radial velocity uncertainties for each instrument. This is treated as a free parameter in the fitting routine. In cases where this noise term is consistent with zero, we list the 95% confidence upper limit. gCorrelation coefficient between the planetary mass and radius estimated from the posterior parameter distribution. hThe Safronov number is given by (see Hansen & Barman 2007). iIncoming flux per unit surface area, averaged over the orbit.Download table as: ASCIITypeset image
Table 8. Relative Radial Velocities and Bisector Spans for HATS-31–HATS-35
Star | BJD | RVa | b | BS | Phase | Instrument | |
---|---|---|---|---|---|---|---|
(2,450,000+) | () | () | () | () | |||
HATS-31 | |||||||
HATS-31 | 7067.77200 | 68.51 | 29.00 | −8.0 | 58.0 | 0.861 | HARPS |
HATS-31 | 7068.80731 | −111.49 | 22.00 | 138.0 | 44.0 | 0.167 | HARPS |
HATS-31 | 7069.83756 | 5.51 | 35.00 | 98.0 | 66.0 | 0.472 | HARPS |
HATS-31 | 7070.78858 | 89.51 | 22.00 | 64.0 | 44.0 | 0.754 | HARPS |
HATS-31 | 7071.81170 | −38.49 | 15.00 | 34.0 | 32.0 | 0.057 | HARPS |
HATS-31 | 7072.81373 | −87.49 | 18.00 | 46.0 | 40.0 | 0.353 | HARPS |
HATS-32 | |||||||
HATS-32 | 6857.88391 | −65.26 | 11.00 | −2.0 | 15.0 | 0.373 | FEROS |
HATS-32 | 6858.83608 | 142.74 | 11.00 | 43.0 | 16.0 | 0.712 | FEROS |
HATS-32 | 7183.82218 | −157.26 | 23.00 | −13.0 | 30.0 | 0.256 | FEROS |
HATS-32 | 7184.92441 | 96.74 | 16.00 | 47.0 | 22.0 | 0.648 | FEROS |
HATS-32 | 7186.82299 | −67.26 | 20.00 | 61.0 | 26.0 | 0.323 | FEROS |
HATS-32 | 7187.92768 | 119.74 | 13.00 | −43.0 | 18.0 | 0.716 | FEROS |
HATS-32 | 7189.81850 | −121.26 | 13.00 | −22.0 | 18.0 | 0.388 | FEROS |
HATS-32 | 7190.90671 | 102.74 | 13.00 | −18.0 | 18.0 | 0.775 | FEROS |
HATS-33 | |||||||
HATS-33 | 7109.90663 | −115.04 | 11.00 | 16.0 | 18.0 | 0.307 | Coralie |
HATS-33 | 7118.90238 | 150.99 | 7.00 | 1.0 | 28.0 | 0.835 | HARPS |
HATS-33 | 7119.85968 | −166.01 | 9.00 | −22.0 | 38.0 | 0.211 | HARPS |
HATS-33 | 7120.89565 | 120.99 | 6.00 | −2.0 | 24.0 | 0.617 | HARPS |
HATS-33 | 7150.22296 | −94.90 | 12.00 | ⋯ | ⋯ | 0.120 | CYCLOPS2 |
HATS-33 | 7150.23892 | −138.80 | 12.40 | ⋯ | ⋯ | 0.126 | CYCLOPS2 |
HATS-33 | 7150.25487 | −101.70 | 12.60 | ⋯ | ⋯ | 0.133 | CYCLOPS2 |
HATS-33 | 7151.26648 | 56.90 | 11.80 | ⋯ | ⋯ | 0.529 | CYCLOPS2 |
HATS-33 | 7151.28183 | 62.40 | 14.80 | ⋯ | ⋯ | 0.535 | CYCLOPS2 |
HATS-33 | 7151.29714 | 54.70 | 12.20 | ⋯ | ⋯ | 0.541 | CYCLOPS2 |
HATS-33 | 7152.18422 | 87.60 | 10.40 | ⋯ | ⋯ | 0.889 | CYCLOPS2 |
HATS-33 | 7152.19954 | 81.50 | 8.60 | ⋯ | ⋯ | 0.895 | CYCLOPS2 |
HATS-33 | 7152.21486 | 75.50 | 7.40 | ⋯ | ⋯ | 0.901 | CYCLOPS2 |
HATS-33 | 7156.17139 | −38.60 | 19.80 | ⋯ | ⋯ | 0.453 | CYCLOPS2 |
HATS-33 | 7156.18735 | −57.70 | 17.20 | ⋯ | ⋯ | 0.459 | CYCLOPS2 |
HATS-33 | 7166.75718 | 119.88 | 10.00 | 13.0 | 14.0 | 0.605 | FEROS |
HATS-33 | 7179.83946 | 219.96 | 13.00 | 5.0 | 22.0 | 0.736 | Coralie |
HATS-33 | 7180.77062 | −154.04 | 14.00 | 53.0 | 24.0 | 0.102 | Coralie |
HATS-33 | 7181.85831 | 17.96 | 14.00 | 41.0 | 22.0 | 0.528 | Coralie |
HATS-33 | 7182.81335 | 123.96 | 13.00 | 34.0 | 22.0 | 0.903 | Coralie |
HATS-33 | 7187.78052 | 160.88 | 10.00 | 4.0 | 12.0 | 0.851 | FEROS |
HATS-33 | 7187.79155 | 132.88 | 10.00 | 12.0 | 11.0 | 0.855 | FEROS |
HATS-33 | 7212.69884 | 59.88 | 12.00 | −63.0 | 17.0 | 0.625 | FEROS |
HATS-34 | |||||||
HATS-34 | 7181.90516 | 156.41 | 12.00 | 16.0 | 17.0 | 0.737 | FEROS |
HATS-34 | 7188.87902 | −25.59 | 17.00 | 16.0 | 23.0 | 0.048 | FEROS |
HATS-34 | 7211.86173 | 16.41 | 14.00 | −20.0 | 19.0 | 0.960 | FEROS |
HATS-34 | 7222.87045 | −161.59 | 15.00 | −147.0 | 20.0 | 0.187 | FEROS |
HATS-34 | 7223.79478 | 85.41 | 19.00 | −53.0 | 25.0 | 0.626 | FEROS |
HATS-34 | 7224.81561 | −62.59 | 18.00 | −10.0 | 24.0 | 0.111 | FEROS |
HATS-34 | 7229.67888 | −83.59 | 12.00 | −92.0 | 16.0 | 0.420 | FEROS |
HATS-35 | |||||||
HATS-35 | 6971.53689 | −83.38 | 41.00 | −61.0 | 29.0 | 0.363 | Coralie |
HATS-35 | 7119.91638 | 116.74 | 30.00 | 99.0 | 27.0 | 0.846 | HARPS |
HATS-35 | 7120.91245 | −119.26 | 17.00 | −38.0 | 18.0 | 0.393 | HARPS |
HATS-35 | 7179.85943d | 400.62 | 44.00 | ⋯ | ⋯ | 0.763 | Coralie |
HATS-35 | 7180.79013 | −129.38 | 53.00 | ⋯ | 38.0 | 0.274 | Coralie |
HATS-35 | 7181.87795 | 87.62 | 46.00 | ⋯ | 35.0 | 0.872 | Coralie |
HATS-35 | 7182.85998 | −153.38 | 47.00 | ⋯ | 35.0 | 0.411 | Coralie |
HATS-35 | 7190.83382 | 224.82 | 22.00 | 67.0 | 14.0 | 0.790 | FEROS |
HATS-35 | 7191.72420 | −155.18 | 20.00 | 36.0 | 14.0 | 0.279 | FEROS |
HATS-35 | 7192.65831 | 209.82 | 21.00 | 58.0 | 14.0 | 0.792 | FEROS |
HATS-35 | 7196.92836 | −124.18 | 24.00 | 60.0 | 16.0 | 0.137 | FEROS |
HATS-35 | 7218.84882 | −112.18 | 22.00 | 91.0 | 15.0 | 0.174 | FEROS |
HATS-35 | 7223.62885 | 170.82 | 25.00 | 91.0 | 17.0 | 0.799 | FEROS |
HATS-35 | 7224.52818 | −131.18 | 22.00 | 50.0 | 15.0 | 0.293 | FEROS |
HATS-35 | 7226.86401 | 14.82 | 23.00 | −41.0 | 15.0 | 0.576 | FEROS |
HATS-35 | 7229.85682 | −170.18 | 23.00 | 1.0 | 15.0 | 0.219 | FEROS |
HATS-35 | 7230.84273 | 178.82 | 18.00 | 35.0 | 12.0 | 0.761 | FEROS |
Notes.
aThe zero-point of these velocities is arbitrary. An overall offset fitted independently to the velocities from each instrument has been subtracted. bInternal errors excluding the component of astrophysical jitter considered in Section 3.3.HATS-31b, HATS-32b, and HATS-34b have a mass that is smaller than Jupiter, between and , whereas the other two objects are slightly more massive than Jupiter. All planets have radii larger than Jupiter within the range to . These planets are moderately irradiated hot Jupiters with HATS-31b and HATS-35b having relatively high equilibrium temperatures of K and K, respectively.
4. DISCUSSION
We have presented five new transiting hot Jupiters, HATS-31b through to HATS-35b, discovered by the HATSouth survey. Our analysis of the combined photometric and spectroscopic data rules out the possibility that these transit detections are blended stellar eclipsing binary systems, and we conclude that these objects are transiting planets. In Figure 7, we show the mass–radius and versus radius diagrams of all known transiting hot Jupiters with well determined masses and radii discovered to date retrieved from the NASA Exoplanet Archive16 on 2016 May 30, with HATS-31b through HATS-35b superimposed in red. The theoretical mass–radius relations are shown for core-free giant planets and for planets with 100 cores for irradiated planets at 0.045 au from the host star, which is roughly appropriate for the insolation levels received by HATS-31b to HATS-35b (Fortney et al. 2007).
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Standard image High-resolution imageFrom the mass–radius diagram shown in Figure 7, the planets presented in this paper can be classified as typical hot Jupiters in terms of their masses and radii. HATS-31b, HATS-32b, and HATS-34b are slightly less massive than Jupiter with , , and , respectively. However, the radius values of the five objects, all higher than that of Jupiter, vary between for HATS-33b to for HATS-31b. The planet equilibrium temperature versus radius diagram is shown in Figure 8. The equilibrium temperature of the planets presented in this paper agree with previously observed general trends. HATS-31b and HATS-35b have higher equilibrium temperature, in the range of K to K, compared with the other three objects presented here.
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Standard image High-resolution imageIt can be seen from the mass–radius and equilibrium temperature-radius diagrams that HATS-31b and HATS-35b reside in a different region than the other three planets. HATS-31b and HATS-35b have radii of and , respectively, and are therefore moderately inflated planets, while HATS-32b, HATS-33b, and HATS-34b have radii from to , which is close to the mean radius of known hot Jupiters. This indicates that the inflated radii are linked to the increased irradiation from their parent star. All of the discovered planets have a period below the mean value of transiting hot Jupiters, with the shortest period of the sample being days for HATS-35b.
In Figure 9, we show the planet density against mass for HATS-31b–HATS-35b in the context of all known exoplanets with well-characterized densities. HATS-31b is the lowest density planet of the objects presented in this paper, with a mean density of , while the other objects have typical densities between and , for objects of their mass and period.
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Standard image High-resolution imageDevelopment of the HATSouth project was funded by NSF MRI grant NSF/AST-0723074. Operations have been supported by NASA grants NNX09AB29G and NNX12AH91H and follow-up observations receive partial support from grant NSF/AST-1108686. A.J. acknowledges support from FONDECYT project 1130857, BASAL CATA PFB-06, and project IC120009 "Millennium Institute of Astrophysics (MAS)" of the Millenium Science Initiative, Chilean Ministry of Economy. R.B. and N.E. are supported by CONICYT-PCHA/Doctorado Nacional. R.B. and N.E. acknowledge additional support from project IC120009 "Millenium Institute of Astrophysics (MAS)" of the Millennium Science Initiative, Chilean Ministry of Economy. V.S. acknowledges support form BASAL CATA PFB-06. M.R. acknowledges support from FONDECYT postdoctoral fellowship 3120097. This work is based on observations made with ESO Telescopes at the La Silla Observatory. This paper also uses observations obtained with facilities of the Las Cumbres Observatory Global Telescope. Work at the Australian National University is supported by ARC Laureate Fellowship Grant FL0992131. We acknowledge the use of the AAVSO Photometric All-Sky Survey (APASS), funded by the Robert Martin Ayers Sciences Fund, and the SIMBAD database, operated at CDS, Strasbourg, France. Operations at the MPG 2.2 m Telescope are jointly performed by the Max Planck Gesellschaft and the European Southern Observatory. We thank the MPG 2.2 m Telescope support crew for their technical assistance during observations. We are grateful to P. Sackett for her help in the early phase of the HATSouth project. G.B. wishes to thank the warm hospitality of Adele and Joachim Cranz at the farm Isabis, supporting the operations and service missions of HATSouth. Observing times were obtained through proposals CN2013A-171, CN2013B-55, CN2014A-104, CN2014B-57, CN2015A-51, and ESO 096.C-0544. This research has made use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program.
Footnotes
- ∗
The HATSouth network is operated by a collaboration consisting of Princeton University (PU), the Max Planck Institute für Astronomie (MPIA), the Australian National University (ANU), and the Pontificia Universidad Católica de Chile (PUC). The station at Las Campanas Observatory (LCO) of the Carnegie Institute is operated by PU in conjunction with PUC, the station at the High Energy Spectroscopic Survey (H.E.S.S.) site is operated in conjunction with MPIA, and the station at Siding Spring Observatory (SSO) is operated jointly with ANU. Based in part on data collected at the Subaru Telescope, which is operated by the National Astronomical Observatory of Japan. Based in part on observations made with the MPG 2.2 m and Euler1.2 m Telescopes at the ESO Observatory in La Silla. This paper uses observations obtained with facilities of the Las Cumbres Observatory Global Telescope.
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