Abstract
We describe the catalogs assembled and the algorithms used to populate the revised TESS Input Catalog (TIC), based on the incorporation of the Gaia second data release. We also describe a revised ranking system for prioritizing stars for 2 minute cadence observations, and we assemble a revised Candidate Target List (CTL) using that ranking. The TIC is available on the Mikulski Archive for Space Telescopes server, and an enhanced CTL is available through the Filtergraph data visualization portal system at http://filtergraph.vanderbilt.edu/tess_ctl.
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1. Introduction
The Transiting Exoplanet Survey Satellite (TESS) Input Catalog (TIC) is a comprehensive collection of sources on the sky, for use by the TESS mission to select target stars to observe and to provide stellar parameters useful for the evaluation of transit signals. The TIC is intended to enable the selection of optimal targets for the planet transit search, to enable calculation of flux contamination in the TESS aperture for each target, and to provide reliable stellar radii for calculating planetary radii, which in turn determines the targets that will receive mission-supported photometric and spectroscopic follow-up. The TIC is also essential for the community to select targets through the Guest Investigator program.
The area of the sky projected onto each TESS pixel is large (21 × 21'') and the point-spread function (PSF) is typically 1–2 pixels in radius (depending on stellar brightness and position in the focal plane). Consequently, the photometric aperture surrounding a given TESS target may include flux from multiple objects. Therefore, it is important that the TIC contain every optically luminous, persistent, nonmoving object in the sky, down to the limits of available wide-field photometric point-source catalogs.
An initial version of the TIC for use in the first year of TESS observations was delivered shortly before TESS launch in early 2018 and is described in detail by Stassun et al. (2018). It had been intended from the start of planning for the TESS mission (Ricker et al. 2015) that the ∼1 billion point sources with parallaxes and proper motions expected from the Gaia mission (Gaia Collaboration et al. 2018) would provide an ideal basis for the TIC. Unfortunately, the final data release schedule for Gaia only allowed the first data release (DR1) to be available prior to TESS launch; thus, the initial version of the TIC included parallaxes for only the ∼2 million bright stars in the Tycho-Gaia Astrometric Solution (TGAS; Gaia Collaboration et al. 2016). By necessity, then, the majority of the ∼470 million stars in the TIC had their properties calculated from broadband photometry (and spectroscopy in a tiny minority of cases) on the basis of a complex set of logic rules, algorithms, and empirical relations (see also Brown et al. 2011; Huber et al. 2016; Berger et al. 2018; Deacon et al. 2019) customized for the TESS bandpass (Stassun et al. 2018).
Importantly, as a result of the small number of stars with measured parallaxes, it was not possible to calculate radii accurately for the vast majority of the stars in the TIC. Therefore, it was necessary to use a proper-motion-based criterion to screen out evolved stars for the Candidate Target List (CTL), from which the ∼200,000 targets for the 2 minute cadence transit search are selected, according to the TESS mission requirements (see Section 3). Because the proper-motion-based method is not able to distinguish subgiants from dwarfs, the CTL inevitably included a large number of subgiants; we estimated that as many as ∼50% of the stars in the CTL were subgiants (see Stassun et al. 2018 for a detailed discussion). Finally, in order to ensure inclusion of known high-value targets, the TIC and CTL were manually populated by a set of specially curated lists, including a Bright Star list, a Cool Dwarf list, a list of Known Planet Hosts, and a list of Hot Subdwarfs (see Appendix A for a detailed discussion).
Shortly after the TESS launch, Gaia delivered its second data release (DR2; Gaia Collaboration et al. 2018), which includes parallaxes as well as estimated stellar properties for 1.3 billion stars. In addition to enabling a more direct determination of the stellar radii, and therefore a more optimized selection of transit targets for the CTL, the availability of uniform photometry via the three Gaia bandpasses (G, GBP, GRP) greatly simplifies the process of calculating various stellar properties via a smaller, consolidated set of algorithms and empirical relations.
The purpose of this paper is to describe the updated TIC and CTL. Section 2 describes the construction of the TIC and the algorithms used to calculate various stellar quantities. Section 3 describes the construction of the CTL, the additional algorithms used for parameters unique to the CTL, and in particular the prioritization scheme for selecting targets for 2 minute cadence observations. Finally, Section 4 provides a summary of the contents of the TIC and CTL.
The TIC and CTL are also accompanied by official release notes, which are provided on the Mikulski Archive for Space Telescopes (MAST) server. Public access to the TIC is also provided via the MAST server, and access to an enhanced CTL is provided via the Filtergraph data visualization service at https://filtergraph.vanderbilt.edu/tess_ctl.
2. The TIC
In this section, we detail the algorithms, relations, and rules adopted for populating the TIC. The TIC includes a number of columns, each with a specified format and a permitted range of values. These are summarized by Stassun et al. (2018). The provenance flags associated with various TIC quantities are listed in Appendix B. It is important to understand that, as described below, the TIC deliberately includes both point sources (stars) and extended sources (e.g., galaxies); positional searches of the TIC will in general return some extended sources as well as stars. For a more detailed discussion about extended sources in the TIC, see Stassun et al. (2018). These can be separated by use of the objtype flag (see Appendix B). Finally, a number of specially curated lists are summarized in Appendix A.
2.1. Assembly of the TIC
For the TIC that was produced for the first year of the TESS mission (Stassun et al. 2018), we adopted the Two Micron All Sky Survey (2MASS) catalog as the base point-source catalog, and we referenced all other data to the 2MASS point source. As shown in Figure 1, reproduced from Stassun et al. (2018) for convenience, this included a large number of catalogs containing spectroscopic quantities, photometry in the various passbands that we utilized to estimate various stellar properties, proper motions, and a number of other ancillary data. Because the Gaia DR2 catalog was not yet available at the time of TESS launch, the TIC that was delivered at that time only included the Gaia DR1 parallaxes, again cross-referenced to the 2MASS base catalog. Now we have rebuilt the TIC with Gaia DR2 as the base. An updated visual overview, analogous to Figure 1, is shown in Figure 2 and described in detail in the following subsections.
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Standard image High-resolution image2.2. Point Sources
The base point-source catalog for the TIC is Gaia DR2. In order to preserve continuity and provenance with the previous version of the TIC, which was based on the 2MASS catalog, we first translated all previous TIC sources to the new TIC catalog using the association between Gaia and 2MASS that is provided within Gaia DR2 itself.
TIC coordinates and their uncertainties have been propagated to epoch 2000 because of mission requirements. The error propagation leads to much larger uncertainties than those native to the nominal Gaia DR2 positions. Especially for Gaia DR2 stars, users should not try to propagate forward the TIC coordinates using the proper motions listed. Instead, users should use the original Gaia DR2 positions, proper motions, and corresponding errors for propagation. We provide the original R.A. and decl. with errors as given in the source catalog (Gaia DR2, 2MASS, and so on) in additional columns on MAST and Filtergraph.
Due to the improved angular resolution and depth of the Gaia DR2 catalog relative to 2MASS, there were a large number of cases where a single 2MASS source turned out to be associated with two Gaia sources. In these cases, we retain the association of the one 2MASS identifier with both Gaia sources, but we set the JHKS magnitudes of both sources to null because there was no definitive means for splitting the reported 2MASS flux among the two Gaia sources. While we have not done so here for the sake of catalog purity, we note that in principle it is possible to estimate the 2MASS JHKS magnitudes for the two sources from the Gaia-reported GGBPGRP fluxes and the relations provided by Evans et al. (2018). For the purposes of the TIC, we require only the Gaia-reported GGBPGRP magnitudes, as described below, to which we applied the corrections for bright stars (G < 6) as reported by Evans et al. (2018). There were also ∼33 million cases of 2MASS sources that had no Gaia counterpart. We expect that many of these stars are 2MASS artifacts around bright stars, but we did not identify a straightforward way to identify them consistently and therefore have left them unaltered for TICv8.
While we calculate the stellar properties for most TIC stars from Gaia magnitudes via the relations discussed below, where possible we adopt measured spectroscopic parameters. Following the conventions of the initial TIC, we selected effective temperatures () and metallicities ([Fe/H]) when available, from the following catalogs and in the order of preference shown in Table 1. Users are cautioned that surface gravities (log g) are always calculated in TICv8 using the TICv8-reported mass and radius; log g is not adopted from spectroscopic catalogs even when available so as to ensure internal consistency of log g with mass and radius. Note also that while metallicities are reported when available from spectroscopic catalogs, this is for convenience only, and we do not use metallicity in any relations or derived quantities.
Table 1. Spectroscopic Catalogs in the TIC
Name | Data Release | Approximate No. of Stars | Priority | References |
---|---|---|---|---|
SPOCS | ⋯ | 1.6 k | 1 | Brewer et al. (2016) |
PASTEL | ⋯ | 93 k | 2 | Soubiran et al. (2016) |
Gaia-ESO | DR3 | 29 k | 3 | Gilmore et al. (2012) |
TESS-HERMES | DR1 | 25 k | 4 | Sharma et al. (2018) |
GALAH | DR2 | 340 k | 5 | Buder et al. (2018) |
APOGEE-2 | DR14 | 277 k | 6 | Abolfathi et al. (2018) |
LAMOST | DR4 | 2.9 M | 7 | Luo et al. (2015) |
RAVE | DR5 | 484 k | 8 | Kunder et al. (2017) |
Geneva-Copenhagen | DR3 | 16 k | 9 | Holmberg et al. (2009) |
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2.3. Algorithms for Calculated Stellar Parameters
In this section, we describe the algorithmic procedures we adopted to calculate various stellar parameters. We begin with the procedure for calculating an apparent magnitude in the TESS bandpass, T, as this is the most basic quantity required of any object in the TIC. Since many of the subsequent empirical relations that we adopt depend on the effective temperature (), we next describe the procedures for determining . Briefly, we prefer spectroscopic if available and if the reported error32 is less than 300 K; otherwise we calculate from photometric colors via empirical relations that we describe. These photometric colors must first be corrected for reddening, so we first also describe our photometric dereddening procedures.
We next apply cuts based on the Gaia DR2 quality flags on astrometry33 and photometry (see Arenou et al. 2018, Equations (1) and (2)), such that objects failing these quality criteria do not have any other stellar parameters computed. In these cases, if stellar parameters had been computed for the CTL in TICv7, then we adopt those parameters again here.
Note that wherever our relations involve the Gaia DR2 parallax, we utilize the Bayesian distance estimate from Bailer-Jones et al. (2018). This both provides a proper posterior estimate of the (generally asymmetric) errors in the distance and ensures that the distance estimate is nonnegative, because in some cases the native Gaia DR2 parallax can be negative. Finally, we defer a detailed discussion of the procedure for calculating parameter uncertainties to Section 3.2, where we describe a Monte Carlo based approach that we apply to objects in the CTL. Here we simply note that, for the TIC, which requires symmetric error bars to be reported, we take the arithmetic mean of the asymmetric error bars determined for CTL objects. In some cases, the resulting symmetrized error can be larger than the quantity itself; these cases should be regarded with caution.
Finally, where it is necessary to identify a star's evolutionary phase, for the purposes of this paper we adopt the same definitions as in Stassun et al. (2018):
- 1.Dwarfs: log g ≥ 4.1
- 2.Subgiants: 3.5 ≤ log g < 4.1 (or ≥ 5000 K and 3.0 ≤ log g < 3.5)
- 3.Giants: log g ≤ 3.0 (or < 5000 K and 3.0 ≤ log g < 3.5).
2.3.1. TESS Magnitude
The most basic quantity required for every TIC object, aside from its position, is its apparent magnitude in the TESS bandpass, which we represent as T. As we did in TICv7, we derived a relation based on the PHOENIX model atmospheres (Husser et al. 2016). We adopted the most up-to-date TESS passband available (R. Vanderspek 2019, private communication) and the Gaia passbands for G, , and from Gaia Collaboration et al. (2018). Note that we did not apply the small corrections to the Gaia bandpasses from Maíz Apellániz & Weiler (2018) as these were not available prior to our construction of the base TIC.
The relation that we adopt,
is valid for dwarfs, subgiants, and giants of any metallicity, and the formal scatter is 0.006 mag. The fit and residuals of the relation are shown in Figure 3. Strictly speaking, this relation is valid for −0.2 < − < 3.5, but we extrapolate it to −1.0 < − < 6.0 because by NASA requirement every star in the TIC must have a T magnitude. Even though the relation degrades considerably for M dwarfs ( − > 2), we consider it to be the best available estimator from the G band. Most importantly, the refined T magnitudes provided in the specially curated Cool Dwarf list override the magnitudes computed by the relation above.
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Standard image High-resolution imageOf course, the use of stellar atmosphere models introduces some systematic error, so the true errors in the predicted T are likely to be larger than 0.006 mag. To estimate this, we used the same atmosphere models to derive a relation between V magnitude and the magnitudes in the Gaia passbands, and we compared our relation with the empirical relation reported by Evans et al. (2018). Their empirical relation is based on real V magnitudes for stars from various catalogs and from the measured G magnitudes for the same stars from Gaia DR2. Figure 4 compares the two relations. The comparison here is based on the set of stars from TICv7 that had spectroscopic , so they are not the same set of stars used by Evans et al. (2018); however, this should not affect our conclusions significantly. A slight difference is evident between our model fit and the Evans et al. (2018) empirical fit, which is to be expected. However, the largest difference between the two relations is only ∼0.1 mag, providing confidence in our adopted relation and suggesting that the true uncertainties in our derived T are likely to be at most ∼0.1 mag in most cases.
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Standard image High-resolution imageThe TESS magnitude relation above is strictly valid for unreddened stars. Because the measured magnitudes and colors from Gaia are typically affected by extinction, we first deredden the colors and correct the G magnitudes for extinction, then apply the relation to obtain a dereddened T magnitude, and finally add extinction back into T to obtain an apparent magnitude. The extinction coefficients required in each band are provided below in Section 2.3.3.
Finally, we have developed simple relations for stars that either have colors beyond the formal validity limits of the above relation or that do not have fluxes reported for all three Gaia passbands. For stars that are bluer or redder than the limits of the above relation, we simply extrapolate the same polynomial, but to be conservative we increase the formal errors by 0.1 mag (added in quadrature). For stars with no valid − colors, but which have a valid G magnitude, we use the following simple offset:
This offset is the value that specifically corresponds to a star like the Sun, with a color of − = 0.82 based on the PHOENIX stellar atmosphere models. As a very conservative error, we assign 0.6 mag, which should be valid for all but the reddest M dwarfs, which are in any case dealt with via the specially curated Cool Dwarf list.
2.3.2. V Magnitude
For completeness and for maximum usability, we compute the apparent V magnitude for TIC stars that do not possess a measured V from TICv7 but which possess Gaia photometry, as follows, using the relations provided by the Gaia team (Evans et al. 2018):
which has a reported scatter of about 0.046 mag.
2.3.3. Extinction and Dereddening
Because we estimate stellar principally from an empirical color relation involving the Gaia − color (see Section 2.3.4), which is susceptible to reddening effects, it is necessary to first apply a dereddening correction, as we now describe.
When creating TICv7, we were limited by the available dust maps to estimates of the reddening along the full line of sight through the Galaxy in any particular direction, and we also were unable to estimate reddening within about 15 degrees of the Galactic plane. Here, we adopt the newly released three-dimensional, empirical, nearly all-sky dust maps from Pan-STARRS (Green et al. 2018), which provides an ability to estimate the reddening on a star-by-star basis according to the star's position in three dimensions (coordinates on the plane of the sky together with the distance). For the region of the sky not covered by Pan-STARRS (decl. below −30°), we continue to use the Schlegel et al. (1998) map, now with an adjustment to the total line-of-sight extinction for distance (from Gaia), assuming a standard exponential model for the disk with a scale height of 125 pc (see, e.g., Bonifacio et al. 2000). In both cases, we apply a recalibration coefficient of 0.884 to the E(B − V) values, as prescribed by Schlafly & Finkbeiner (2011).
As an initial sanity check on the Pan-STARRS reddening estimates, we compared the E(B − V) reddening values reported by the Pan-STARRS map against that estimated from the dust maps that we used in TICv7 (Schlegel et al. 1998). As shown in Figure 5, the agreement is in general quite good, with the E(B − V) agreeing to within ∼0.05 mag for Galactic latitudes deg.
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Standard image High-resolution imageWe require a relation to convert the E(B − V) values that are provided by the reddening maps into E( − ) and AG for dereddening the Gaia − and G observed colors. As the most common type of star in the TIC is similar to the Sun, we used a synthetic solar-like spectrum as the source ( = 5800 K, log g = 4.5, [Fe/H] = 0.0, the closest PHOENIX model spectrum to the Sun) to compute the effective wavelengths for the various passbands following Equation (18) of Casagrande & VandenBerg (2014). We then used these mean wavelengths with the Cardelli et al. (1989) extinction law, which yields E( − ) = 1.31E(B − V) and AG = 2.72E(B − V). We also used this procedure to determine the relation of E(B − V) to AT, the extinction in the TESS bandpass, for use in calculating the T magnitudes (see Section 2.3.1), which gives A(T) = 2.06E(B − V).
Applying the estimated reddening to the determination of via the photometric colors has the effect generally of making apparently cool stars hotter, and that hotter in turn has the effect of implying a larger radius and mass from our empirical relations described in Section 2.3.5. Therefore it is important to assess the quality of the dereddened . Figure 6 (top) shows a comparison of the obtained from dereddened colors versus measured spectroscopically for ∼2 million stars from TICv7 with the relevant quantities available. As with all of the spectroscopic values that we adopt in the TIC, we limited the sample to stars whose spectroscopic values have reported uncertainties less than 300 K to ensure that the spectroscopic does not dominate the comparison of errors. The comparison overall is quite good, with a mean difference of 20 K and a 95th percentile range of −410 to +220 K. The slight skew toward negative differences (i.e., dereddened photometric being slightly cooler than the spectroscopic ) suggests that in some cases the reddening is underestimated (not enough dereddening correction applied), but this is at the margins of the overall distribution. Interestingly, as shown in Figure 6 (bottom), both the Pan-STARRS and Schlegel et al. (1998) dust maps appear to slightly overestimate the extinction toward the southern Galactic pole, resulting in our inferring a marginally elevated at b ≲ −70°. Note that both G and T are broad photometric bands, which can complicate extinction corrections. In particular, the ratio of total to selective extinction, RG ≡ AG/E(B − V), is a function of as well as the overall extinction AV. The variation with AV is small (dRG/dAV ≈ −0.03) and can be ignored, but the variation with is slightly larger. This could also be a reason for the systematic trends seen in Figure 6 (top); see Figure A of Sanders & Das (2018) for further details and for one way to account for this.
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Standard image High-resolution imageAlso shown in Figure 7 are the differences as a function of Galactic coordinates, where the effect of larger errors within ∼10 degrees of the plane is clear. Note that the Schlegel et al. (1998) dust maps have been shown to overestimate extinction for E(B − V) > 0.15 by a factor of about 1.4 (Arce & Goodman 1999; Cambrésy et al. 2005); a correction is given in Equation (24) of Sharma et al. (2014). In any event, we reduce the CTL priority by a factor of 0.1 for stars within 10 degrees of the Galactic plane (see Section 3.3).
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Standard image High-resolution imageFinally, based on the comparisons above between the Pan-STARRS and Schlegel et al. (1998) dust maps, we find that only 1% of the ∼4 million stars compared have applied E(B − V) values that disagree by more than 2.5 mag. This means that a star that in reality has a very low reddening could appear with E(B − V) > 2.5 if the dust map at that location is such an extreme outlier. Thus, we adopt 2.5 as the maximum permissible E(B − V) from the Schlegel et al. (1998) dust map (effectively a cap on AV of ≈7.8) in cases where a reliable Pan-STARRS value is not available. In cases where there is not a reliable Pan-STARRS value and our adopted value from Schlegel et al. (1998) has been capped, we report the values, but do not apply any reddening in calculating the T magnitude, and we also do not attempt to provide any derived stellar parameters.
2.3.4. Effective Temperature
We derived a new empirical relation between Teff and the Gaia − colors, based on a set of 19,962 stars having spectroscopically determined Teff and being within 100 pc so as to avoid reddening. We have ignored possible binarity, which is generally unknown for these reference stars and for stars in the larger TIC. After removing obvious outliers, we fit a spline function by eye. Figure 8 shows the fit, with the spline nodes marked with circles. Table 2 lists the nodes as ( − , ) pairs.
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Standard image High-resolution imageTable 2. Spline Nodes for Relation in Figure 8
– | |
---|---|
−0.21 | 15,000 |
−0.17 | 13,500 |
−0.12 | 12,000 |
−0.085 | 11,000 |
−0.02 | 10,000 |
0.1 | 8849.803711 |
0.3 | 7709.192383 |
0.5 | 6875.640137 |
0.7 | 6172.216309 |
0.9 | 5532.801758 |
1.1 | 5017.910156 |
1.3 | 4618.64209 |
1.5 | 4327.293457 |
1.7 | 4048.811523 |
1.9 | 3935.294434 |
2.1 | 3780.993652 |
2.3 | 3652.275635 |
3.00 | 3200 |
3.50 | 3000 |
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The residuals of the fit (see Figure 6, top panel) show a near-zero mean offset, with an rms scatter of 122 K. This seems quite reasonable: given the ∼100 K uncertainties typical of the spectroscopic , this would imply a true scatter in the photometric relation of ∼70 K. The range of validity of the relation is seen in the figure and is − = [−0.2, +3.5], although the predictions are likely to be less reliable for hot stars with − < 0 because of the very steep slope of the relation, and also for M stars with − > 2. As discussed below, the CTL relies mainly on the specially curated Cool Dwarf list for cool dwarf stars and draws estimates for those stars from that list.
We note that metallicity has been ignored in deriving the above relation, largely because it is unknown for any given field star. The relation may therefore return somewhat biased values for stars with compositions very different for solar. For example, referring back to the top panel of Figure 6, we see the average shift between the photometric and spectroscopic temperatures is about +160 K if we restrict the comparison to stars more metal-poor than [Fe/H] = −1, and −80 K for stars more metal-rich than [Fe/H] = +0.35.
This relation provides a continuous color– relation from 3000 to 15,000 K. For stars with − outside of this range of validity, the TIC reports = Null, unless a spectroscopic is available or if a is available from the CTL associated with TICv7. The final errors reported in the TIC from the above polynomial relation include the 122 K scatter added in quadrature to the uncertainties from the photometric errors.
2.3.5. Stellar Mass and Radius
We compute the stellar radii using the Gaia parallaxes, which we now have for every star in the CTL, according to the standard expression from the Stefan–Boltzmann relation:
where D is the distance based on the Gaia parallax from Bailer-Jones et al. (2018), G is the observed Gaia magnitude corrected for extinction (Gobs − AG), Teff is the temperature from either spectroscopy or from dereddened colors, and BCG is the bolometric correction in the Gaia passband as a function of (corrected for reddening if from colors). The above relation assumes that the object is a single star, and it will in general return biased values for the radius if it is a binary because the Gaia photometry will be affected by the companion. To be conservative, for from spectroscopy, we add 100 K in quadrature to the uncertainty if the catalog-reported uncertainty is less than 100 K when computing the resulting mass and radius uncertainties.
In order to develop a relation for BCG as a function of for the widest possible range, we have adopted the following prescription (see Figure 9):
- 1.For the range 3300–8000 K, we adopt the polynomial formulae for BCG reported by the Gaia team (Andrae et al. 2018, see their Equation (7) with coefficients in their Table 4), which are based on MARCS stellar atmosphere models within 0.5 dex of solar metallicity. Those relations come in two parts: 3300–4000 K34 and 4000–8000 K. We have added a minor correction to the cooler segment—a shift of +0.0036 mag in the a0 coefficient—in order to achieve continuity between the two segments. Andrae et al. (2018) also provide additional polynomials to describe the error in BCG as a function of , based essentially on the scatter as a function of log g; we adopt these errors as well.
- 2.Above 8000 K, and up to the 12,000 K limit available in the PHOENIX library of stellar atmosphere models, we fit a cubic polynomial to the bolometric corrections from the models, restricted to metallicities within 0.5 dex of solar, as above. We chose to consider only log g values above 3.0, as our bolometric corrections here are intended for deriving radii of stars in the CTL only, from which we intentionally exclude giants. We shifted this polynomial by +0.01036 mag to match up exactly with the one from Gaia at 8000 K. For this hotter segment, we have adopted a constant error in BCG of 0.04 mag based on the scatter as a function of log g, which also provides continuity with the Gaia uncertainties.
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Standard image High-resolution imageThe complete set of relations described above is therefore as follows:
For the range 3300–4000 K, and where X ≡ − 5772 K,
The uncertainty in BCG is given by
For the range 4000–8000 K,
with an uncertainty given by
For the range 8000–12,000 K,
where Y ≡ /1000, with a constant uncertainty in BCG of 0.04 mag. Note that the independent variable is different here, for numerical reasons.
This last polynomial should not be extrapolated beyond 12,000 K, so we are not able to compute BCG (and therefore radius using the parallax) for > 12,000 K. For stars cooler than 3300 K, the Gaia polynomial relation could in principle be extrapolated by a small amount, although in practice we adopt the stellar parameters for M dwarfs from the specially curated Cool Dwarf list.
We can infer stellar mass from for stars that are on the main sequence or not too far evolved from it. Therefore, we only apply our –mass relation if the stellar radius places the star below the red giant branch and above the white dwarf sequence, as defined in Section 3.1 (see Figure 11). Note that we implicitly are reporting a mass for stars that are subgiants; these should be regarded with caution. However, the luminosities that are reported for these subgiants are expected to be reliable, as the luminosities depend only on radius and (see Section 2.4).
We have revised slightly the spline relations that we developed for stellar mass as a function of by Stassun et al. (2018), with the result that the formal errors are now somewhat smaller. Table 3 gives the spline nodes for the mean relation (unchanged from TICv7; Stassun et al. 2018) and the new nodal points for the lower and upper error bars, as functions of . Approximate spectral types are also provided for convenience.
Table 3. Updated Spline Relation for TICv8
Approx. Spectral Type | Mean Mass | Lower Limit | Upper Limit | |
---|---|---|---|---|
⋯ | 55,000 | 91.052 | 81.0 | 100.5 |
O5 | 42,000 | 40.0 | 36.0 | 44.0 |
B0 | 30,000 | 15.0 | 13.5 | 17.0 |
⋯ | 22,000 | 7.5 | 6.7 | 8.5 |
B5 | 15,200 | 4.4 | 3.95 | 4.95 |
B8 | 11,400 | 3.0 | 2.65 | 3.4 |
A0 | 9790 | 2.5 | 2.2 | 2.85 |
A5 | 8180 | 2.0 | 1.75 | 2.35 |
F0 | 7300 | 1.65 | 1.45 | 2.00 |
F5 | 6650 | 1.4 | 1.23 | 1.70 |
G0 | 5940 | 1.085 | 0.965 | 1.22 |
G5 | 5560 | 0.98 | 0.87 | 1.11 |
K0 | 5150 | 0.87 | 0.78 | 0.98 |
K5 | 4410 | 0.69 | 0.615 | 0.77 |
M0 | 3840 | 0.59 | 0.51 | 0.662 |
M2 | 3520 | 0.47 | 0.395 | 0.535 |
M5 | 3170 | 0.26 | 0.21 | 0.30 |
⋯ | 2800 | 0.117 | 0.091 | 0.14 |
⋯ | 2500 | 0.056 | 0.042 | 0.07 |
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As an independent check on our derived stellar radii, we have compared our radii determined as above with those determined from fitting to stellar spectral energy distribution (SED) models by Deacon et al. (2019) and asteroseismically by Huber et al. (2017) for stars in common in the Kepler field. For Huber et al. (2017), we find very good agreement, as shown in Figure 10, with a mean difference of 0.64% and rms scatter of 7.03%, though with a slight skew toward larger radii in the TIC.
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Standard image High-resolution imageComparing to Deacon et al. (2019) finds very good agreement as well. For ∼843,000 stars in common, the mean radius from CTLv8 is 3.3% larger, which is about a 0.6σ offset. We observed a small number of large outliers due mainly to differences in the adopted distances; while TICv8 uses the Bayesian distance estimator from Bailer-Jones et al. (2018), Deacon et al. (2019) use the Gaia parallax directly, which can differ significantly for very small parallaxes.
2.4. Ensuring Internal Consistency in Derived Quantities
As described in the preceding sections, the basic stellar parameters that we determine for as many stars as possible are and radius, and we also then determine mass from where possible. To ensure that other reported stellar properties that are physically defined based on , radius, or mass, we always calculate those dependent quantities even when empirical measures are available from other catalogs. In particular, log g and mean density are always calculated from the mass and radius that we have determined. Similarly, we always calculate Lbol from the and radius that we have determined.
3. The CTL
The purpose of the CTL is to provide a subset of TIC objects that can be used to select the target stars for TESS 2 minute cadence observations in service of the TESS mission's primary science requirements, which are as follows:
- 1.Search >200,000 stars for planets with orbital periods less than 10 days and radii smaller than 2.5 R⊕.
- 2.Search for transiting planets with radii smaller than 2.5 R⊕ and with orbital periods up to 120 days among 10,000 stars in the ecliptic pole regions.
- 3.Determine masses for at least 50 planets with radii smaller than 4 R⊕.
Given the limited number of stars for which TESS will be able to acquire 2 minute cadence light curves, it is crucial that the set of targets for TESS be optimized for detection of small planets. To that end, we have compiled a catalog of bright stars that are likely to be dwarfs across the sky, from which a final target list for TESS can be drawn, based on in-flight observation constraints. This list of high-priority candidate 2 minute cadence targets is the CTL. Our basic consideration is to assemble a list of dwarf stars all over the sky in the temperature range of interest to TESS, bright enough for TESS to observe, and taking extra steps to include the scientifically valuable M dwarfs.
Our overall approach is to start with the ∼1.7 billion stars in the TIC, and then apply cuts to select stars of the desired ranges in apparent magnitude and spectral type and to eliminate evolved stars. At this stage, we also compute additional information that is relevant for target selection, which, for logistical reasons or computational limitations, we do not compute for all other stars in the TIC.
First, we give a brief overview describing the assembly of the CTL from the TIC, including specifically the process by which we identify likely dwarf stars for inclusion in the CTL and identify likely red giants and white dwarfs for exclusion from the CTL. Next we describe the algorithms by which we calculate improved measures of uncertainties on the stellar parameters and flux contamination in the expected photometric aperture of each star (Section 3.2). Finally, we present the prioritization scheme used to identify the top-priority targets from the CTL for targeting (Section 3.3). The CTL is provided for use through MAST and for interactive use via the Filtergraph data visualization system (Burger et al. 2013) at http://filtergraph.vanderbilt.edu/tess_ctl. A summary of the quantities included in the CTL on the Filtergraph portal is provided in Appendix C.
3.1. Selection of Target Stars for the CTL
From the ∼1.7 billion point sources in the TIC, we initially select stars for the CTL if they (1) have parallaxes and GGRPGBP photometry reported by Gaia DR2 that satisfy quality criteria on reduced χ2, number of degrees of freedom, photometric excess factor, and the G and GBP − GRP colors (see Equations (1) and (2) in Arenou et al. 2018); and (2) satisfy the condition T < 13. We implement the T criterion to reduce the CTL to a manageable size, emphasizing the bright dwarfs that are likely to be the highest priority targets. Note that while this T cut would by itself eliminate many M dwarfs, we rely on the specially curated Cool Dwarf list to ensure the inclusion of high-priority, bona fide M dwarfs.
Next, we cut on stellar radius to eliminate red giants, as shown in Figure 11. Note that this explicitly includes subgiants (3.5 < log g < 4.1); recognizing that some subgiants can be considered high value in some cases, we include them but rely on the target prioritization metric and its dependence on stellar radius (see below) to ensure that bright subgiants do not overwhelm the selection of final 2 minute cadence targets. The specific radius cuts adopted as a function of are as follows (see Figure 11): for ≥ 6000 K, the dividing line is log R/R⊙ = 0.7; then the nodes for the subsequent piecewise linear dividing lines are (, log R/R⊙) = (5000 K, 0.2) and (2000 K, 0.0).
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Standard image High-resolution imageTo exclude stars likely to be white dwarfs, we used a diagram of absolute G magnitude versus − color (Figure 11, bottom panel), which shows the main sequence and white dwarf sequences clearly separated. We defined a boundary by eye, represented by the equation MG = 5.15 ( − ) + 4.12 and shown by the line in Figure 11. We eliminated stars below this boundary (after proper corrections for reddening) as being probable white dwarfs.
The entire procedure described above is summarized in logical flowchart form in Figure 12. We do not include stars in the CTL if we are unable to determine their spectroscopically or from dereddened colors (see Section 2.3.3), or if we are unable to estimate their radius (Section 2.3.5) or the flux contamination from nearby stars (Section 3.2.1) since these are essential to setting target priorities (see Section 3.3). All stars in the specially curated Cool Dwarf and Hot Subdwarf target lists (Appendix A) are included in the CTL. Finally, in order to ensure inclusion of high-priority stars that may be missing from Gaia DR2, stars previously included in the CTL of TICv7 on the basis of a reduced proper-motion cut suggesting that they are dwarfs, and for which Gaia DR2 does not provide sufficiently reliable information to warrant their exclusion (according to the quality criteria discussed above), are included in the CTL. The CTL at present comprises 9.48 million stars.
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Standard image High-resolution imageStrictly speaking, the CTL as delivered to NASA is simply a list of candidate target stars with associated relative targeting priorities. We are providing an enhanced version of the CTL, with all relevant observed and derived stellar quantities described here, through the Filtergraph Portal system as a tool for the community to interact with this unique data set. Appendix C describes each quantity in the CTL that can be found on the Filtergraph Portal system.
3.2. Algorithms for Calculated Stellar Parameters
3.2.1. Flux Contamination
We follow the same procedures as in the original CTL (Stassun et al. 2018), with the same assumed parameters. Briefly, contaminants are searched for within 10 TESS pixels of the target, and the contaminating flux is calculated within a radius that depends on the target's TESS magnitude and uses a PSF that is based on prelaunch PSF measurements of the field center (note that the PSF model does not attempt to account for bleed trails from very bright stars). The flux contamination reported is simply the ratio of the total contaminant flux to the target star flux (Figure 13). See Section 3.2.3 of Stassun et al. (2018) for more details.
3.2.2. Monte Carlo Determination of Parameter Uncertainties
We have implemented a Monte Carlo based approach to improve the final uncertainty estimates for the stellar parameters reported in the CTL, in which we perturb each observed quantity 1000 times and carry the perturbed values through the calculations to obtain a distribution for each derived quantity. We then report the 16th and 84th percentiles of those distributions as the corresponding lower and upper error bars. We have done this for two main reasons. First, we wish to be able to report asymmetric errors to better reflect the nature of the parameter posteriors. Second, a simple summation in quadrature of the underlying parameter errors overestimates the final uncertainty. This overestimation of the final uncertainty is particularly severe for the stellar radius because the distance error enters four times (D, G, Teff, BCG), the errors from the reddening maps enter three times (G, Teff, BCG), the error from the calibration enters twice (Teff, BCG), and photometric errors in GBP − GRP enter twice (Teff, BCG).
In what follows, we represent Monte Carlo perturbed quantities with primed (or double-primed) symbols and nominal values with unprimed symbols. In addition, represents a normal Gaussian deviate (mean = 0, σ = 1) that is used to perturb the nominal quantities. Once a quantity is perturbed, we use the same perturbed value throughout the procedure in order to preserve parameter correlations. For perturbing quantities with asymmetric error bars, we assume each side is reasonably well represented by a Gaussian distribution, and we use the lower error bar if the Gaussian deviate is negative or the upper error bar otherwise.
The procedure follows the steps below, in sequence:
- 1.Perturb the stellar distance: .
- 2.Perturb the reddening, which involves two contributions: one from the distance, and another from the intrinsic dust map errors. Query the dust map(s) with D' to obtain a perturbed reddening E(B − V)''. For Pan-STARRS, find the 16th and 84th percentiles of the reddening distribution at the nominal distance, and subtract from reddening at nominal distance to obtain the intrinsic dust map errors, {σred,low, σred,high}. For Schlegel et al. (1998), adopt σred,low = σred,high = 0.01 mag, derived from typical Pan-STARRS errors for stars outside the Galactic plane.35 Then compute + , and calculate reddening and extinction in the Gaia passbands with E( − )' = 1.31E(B − V)' and A(G)' = 2.72E(B − V)'.
- 3.Perturb the Gaia color and magnitude using the photometric errors: + + , and .
- 4.Deredden the perturbed Gaia color and magnitude: = ( − )' − E( − )' and = G' − A(G)'.
- 5.Compute the perturbed and dereddened TESS magnitude with the expression in Section 2.3.1 using and . Calculate the perturbed extinction in the T band as A(T)' = 2.06E(B − V)'. Then apply the extinction and compute the final perturbed apparent TESS magnitude (i.e., affected by extinction) as + , where σT is the scatter of the T calibration.
- 6.Compute the perturbed : + , where is the perturbed temperature derived from the perturbed dereddened color, and = 122 K (Section 2.3.4).
- 7.Compute the perturbed radius (R') from the perturbed bolometric correction (BC'), , D', and , where + , and σBC is a function of .
- 8.Compute the perturbed mass as × , where σM is a function of . Then compute the perturbed log g, luminosity, and mean density as log g' = 4.4383 + log M' − 2 log R', L' = (R')2 ()4, and ρ' = M'/(R')3.
3.3. Target Prioritization
Ultimately, one of the most fundamental characteristics reported in the CTL is the target priority, which allows the selection of the most suitable stellar candidates for 2 minute cadence. The target priority calculated in the CTL of TICv8 uses a schema identical to the priority calculation in the CTL of TICv7. For a more detailed derivation of the priority formula, we direct the reader to Stassun et al. (2018). However, we provide a basic explanation below.
The priority in TICv8 determines the relative ability of TESS to detect small planetary transits and is calculated using the radius of the star (R), the total expected photometric precision (σ), and a priority boost factor that scales with a probabilistic model of the expected number of sectors (NS) any given star could fall in. Typically, the closer the star is to the ecliptic north or south pole, the larger the boost factor. This leads to the following formulation of stellar priority:
This priority is then normalized by the priority for a star with R = 0.1R⊙, NS = 12.654 sectors, and σ = 61.75 ppm to force the priority to be on a scale from 0 to 1. Finally, there is a small subset of stars that are manually deprioritized based on known issues with current TIC calculations or known limitations of the TESS observing plan. These are as follows:
- 1.Stars close to the Galactic plane () are multiplied by a factor of 0.1 in order to deprioritize stars that may be affected by a poor understanding of their true reddening. Stars in the specially curated lists are excluded from this condition.
- 2.Stars with log g values greater than 5 have had their priorities set to 0 and their properties set to Null, to avoid biases from poor-quality effective temperature, extinction, or parallax measurements. Stars in the specially curated lists are excluded from this condition.
- 3.Stars close to the ecliptic plane () are not expected to be observed as part of the main mission, due to a gap in camera coverage between the Southern and Northern observations. Therefore, their NS values are 0, and thus the priority is 0.
For the first year of the TESS prime mission observing the southern ecliptic sky (TESS Sectors 1–13), CTLv7 priorities were used to select targets. For the second year of the prime mission observing the north (Sectors 14–26), priorities from CTLv8 are being used. If the TESS mission is extended and if 2 minute cadence targets are selected for observation by the mission itself for transit detection, it will be possible to continue using CTLv8 priorities to select targets, though some alteration may be required if an extended mission observes targets in the (currently excluded) ecliptic plane.
3.4. Performance of the CTL in the First Year of TESS Observations
Because the estimated stellar radius is such an important factor in our target prioritization, we conclude by examining the extent to which the nominal dwarf targets in the first year of TESS observations (based on CTLv7) were in fact giants or subgiants. As discussed in Stassun et al. (2018), based on the method of reduced proper motion that we had employed, it was expected that the contamination of CTLv7 by giants would be only ∼3% but that the contamination by subgiants would be ∼40%. We examine those predictions by checking the evolutionary class of the set of TESS 2 minute cadence targets actually observed in Sectors 1–13.
In the first year of the mission, 247,899 objects were selected for 2 minute cadence observations in the northern ecliptic sky. Since a large number of these were observed in multiple sectors, the number that are unique is 128,292. Those objects were selected from several target lists, including the CTL itself but also lists from the asteroseismology program, the guest investigator program, and others. Here we examine targets of relevance to the mission's primary transit search, which were initially optimized to be dwarf stars, and which we here identify by CTLv7 priority of greater than 0.0011, that is, the priority cutoff that yields about 400,000 top-priority targets across the entire sky.
Since all stars in Sectors 1–13 brighter than T = 6 regardless of luminosity class were selected for observation regardless of priority (via the specially curated Bright Star list), here we examine the 122,669 unique stars with T > 6, of which 80,670 were among the top-priority targets in CTLv7 as defined above. Of those, 72,030 have reliable Gaia DR2 observations in TICv8 (i.e., gaiaqflag is set to 1), allowing us to reliably classify them as dwarfs, subgiants, or giants. We find that 81.8% are dwarfs, 15.7% are subgiants, and 2.5% are giants. These contamination rates are consistent with the predictions from Stassun et al. (2018) for the giants, but represents a lower contamination rate than predicted for the subgiants.
The reason for the smaller than expected fraction of subgiants is likely that the highest priority targets tend to be cool stars, for which the disambiguation of dwarfs from other luminosity classes is most secure (essentially because cool subgiants do not exist). In any case, a lower subgiant contamination is certainly beneficial for the ultimate mission goal of transit detection of small planets. As discussed in Section 2.3.5, we do not intentionally exclude subgiants from the updated CTL, although their priorities are again set relatively lower than dwarfs according to their larger radii via Equation (10).
4. Summary of Representative Properties of Stars in the TIC
Compared to TICv7, the number of stars in TICv8 has increased by a factor of ∼3.5. The number of stars with has doubled, and the number with estimated radii has increased by a factor of ∼20. Table 4 summarizes the numbers of stars in the TICv8 and CTLv8 for various representative subsets.
Table 4. Summary of Basic Stellar Properties in the TIC and CTL
Quantity | Number of Stars | Subpopulation | Number of Stars | |||
---|---|---|---|---|---|---|
TICv7 | TICv8 | TICv7 | TICv8 | CTLv8 | ||
T magnitude | 470,995,593 | 1,726,340,024 | T < 10 | 966,297 | 912,552 | 268,752 |
331,414,942 | 683,248,319 | < 4500 K | 991,868 | 140,614,051 | 4,053,071 | |
Radius | 27,302,067 | 541,007,000 | R < 0.5 R⊙ | 787,924 | 27,804,756 | 1,568,574 |
Mass | 27,302,066 | 455,211,680 | M < 0.5 M⊙ | 741,483 | 14,113,970 | 1,587,663 |
Spectroscopic | 572,363 | 4,059,381 | Spect. < 6000 and log g > 4.1 | 395,144 | 1,673,350 | 420,443 |
Proper motion | 316,583,013 | 1,335,789,302 | Proper motion >1000 mas yr−1 | 655 | 1092 | 498 |
Parallax | 2,045,947 | 1,269,096,797 | Distance < 100 pc | 42,454 | 574,927 | 217,245 |
Note. Note that the TICv7 subpopulations for cool , small radii, and low mass reflect numbers from CTLv7, because in TICv7 these quantities were computed only for stars in the CTL.
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Figure 14 shows the overall distribution of TESS magnitudes (left) and (right). Note that our relations for estimating end at 15,000 K; hotter stars in the distribution originate from the specially curated list for hot subdwarfs. Figure 15 shows the overall distribution of radii for stars smaller than 10 R⊙ (left) and log g (right). Stars with R ≥ 5 R⊙ are regarded as giants, and we do not report masses or other derived properties for them. Our relations for masses are designed principally for dwarfs and work reliably well also for subgiants, but are not reliable for giants.
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Standard image High-resolution imageWe gratefully acknowledge partial support for this effort from NASA grant 17-XRP17 2-0024. Funding for the TESS mission is provided by NASA's Science Mission directorate. P.S.M. acknowledges support from the NASA Exoplanet Research Program (XRP) under grant No. NNX15AG08G issued through the Science Mission Directorate. B.R.-A. acknowledges funding support from CONICYT PAI/CONCURSO NACIONAL INSERCIÓN EN LA ACADEMIA, CONVOCATORIA 2015 79150050 and FONDECYT through grant 11181295. This work is partly supported by JSPS KAKENHI grant Nos. JP18H01265 and JP18H05439, and JST PRESTO grant No. JPMJPR1775. This work has made extensive use of the Filtergraph data visualization service (Burger et al. 2013). This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This work has also made use of the SIMBAD database and the VizieR catalog access tool, both operated at the CDS, Strasbourg, France, and of NASA's Astrophysics Data System Abstract Service. The remarkably careful review of the original manuscript by the anonymous referee is very gratefully acknowledged.
Appendix A: Specially Curated Lists
The specially curated lists from TICv7 (Stassun et al. 2018) have been updated as follows.
A.1. Cool Dwarf List
The Cool Dwarf list has been updated. It is incorporated into the TIC and CTL as a total override, meaning that values in this list supersede and replace default values calculated by the usual TIC/CTL procedures. J. Chittidi et al. (2019, in preparation) provides detailed procedures. Here we briefly summarize the main changes compared to the Cool Dwarf list that was incorporated into the previous version of the TIC/CTL (Muirhead et al. 2018; Stassun et al. 2018).
For TICv8, the Cool Dwarf specially curated list was revised and substantially augmented to include newly available astrometric parallax measurements and photometry from the Gaia mission. The First Cool Dwarf Catalog (CDC1) used primarily reduced proper-motion measurements to identify nearby cool dwarfs. This led to deficiencies in the southern hemisphere from a lack of long time-baseline all-sky surveys (see Muirhead et al. 2018 for a detailed description). The incorporation of Gaia DR2 parallaxes resolved this incompleteness. The Second Cool Dwarf Catalog (CDC2) was built from the "nearest neighbor" cross-match between Gaia DR2 sources and the Two Micron All Sky Survey Point Source Catalog (2MASS PSC; Cutri et al. 2013), available on the Gaia Archive. The cross-matched catalog was queried for all objects with the following criteria:
- 1.Nonzero astrometric parallax measurement with a signal-to-noise ratio of at least 5.
- 2.A single and unique entry in the 2MASS PSC, and a photometric quality flag of "C" or better for all 2MASS magnitudes.
- 3.Absolute KS-band magnitude (MK) between 4.5 and 10.0.
- 4.V − J color greater than 2.7, to identify cool stars and maintain consistency with CDC1.
- 5.Absolute V-band magnitude (MV) that meets the following criterion: MV > 2.2 (V − J) − 2.
- 6.Gaia -band magnitude less than 18.
For the absolute magnitude calculations, distances were taken from Bailer-Jones et al. (2018). The V-band magnitude was calculated using and magnitudes and the conversion published by Jao et al. (2018). No extinction or reddening corrections were applied in the query. Furthermore, any objects that did not meet these criteria, but were in the CDC1 with parameters determined from non-Gaia-based parallaxes, were manually added to the CDC2. For example, nearby M dwarfs with saturated 2MASS magnitudes were kept in the CDC2 using parameters from the CDC1.
The result from the query was cross-matched with the original Cool Dwarf Catalog (Muirhead et al. 2018), including all entries from both catalogs. For each entry, we calculated stellar mass, stellar radius, effective temperature, and TESS magnitude, assuming each entry is a single star and ignoring effects from reddening and extinction.
Stellar masses and radii were calculated using the mass–MK relations from Mann et al. (2019) and the radius–MK relations from Mann et al. (2015), both valid for 4.5 < MK < 10.0. Objects outside of this range or lacking an astrometric parallax were flagged for removal. Effective temperature and T were calculated from and magnitudes using custom relations developed from photometrically calibrated spectra from Mann et al. (2013). Objects in the CDC1 without unique 2MASS identifiers were flagged for removal.
Figure 16 shows histograms and cumulative distribution functions comparing CDC1 and CDC2 for T and . CDC2 removed a handful of bright and low-temperature CDC1 entries owing to the parallax and MK criteria. For example, the brightest object in the CDC1 is α Centauri B, a K1 dwarf that does not meet the new MK criteria. For context, Figure 17 compares the spatial distribution of CDC stars in CDC2 versus CDC1, showing especially the substantially improved coverage of the southern sky (including especially the southern CVZ) in CDC2.
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Standard image High-resolution imageDue to the CDC's use of specialized relations for determining T, we observe an offset of ∼0.1 mag between T as computed in the CDC versus T computed by our nominal relations (see Section 2.3.1). The difference can be as large as ∼1 mag at the faintest end of the TIC (T ≳ 18). Because we adopt the CDC values as an override, these offsets will only be noticeable when comparing similar stars where one is in the CDC and the other is not.
Finally, the values computed in the CDC versus the standard TIC relations are in good agreement, especially for TIC derived from Gaia colors; the scatter is even lower than the 122 K that we assume for the standard TIC . However, stars with inherited from TICv7 can differ more substantially, especially stars with high derived using a photometric B magnitude (provenance flag "bphotvk"); these should be checked independently before being used.
A.2. Known Planet Hosts
About 3000 stars are known to host exoplanets, of which ∼2800 are systems for which the radial velocity and transit methods were used for discovery. There are a variety of scientific reasons why TESS observations of these stars would be valuable, such as detecting stellar variability (Dragomir et al. 2012), transit ephemeris refinement for follow-up observations (Kane et al. 2009), detecting transit timing variations (TTVs) to help identify additional planets or stellar companions, potential discovery of further transiting planets in those systems, and so on. We worked to include all known planet hosts in previous versions of the TIC, and these stars were also selected in a Cycle 1 TESS Guest Investigator program, ensuring that they are observed at 2 minute cadence.
While we have continued to make sure that all known planet hosts are included in the updated TIC, the stellar parameters of those stars were determined according to the standard procedures outlined in this paper. Those procedures, as noted, are based on large catalogs and do not take advantage of the precise measurements of individual systems that are typically conducted when the planets are discovered. We explored the option to adopt a curated set of the stellar parameters of the planet hosts to improve those quantities in the TIC by incorporating the exoplanet host star parameters listed in the NASA Exoplanet Archive (Akeson et al. 2013). Unfortunately, that catalog, along with all other catalogs of exoplanet host parameters that we explored, are by nature somewhat incomplete and heterogeneous. We have been unable as yet to adopt the set of host star parameters from such a catalog without requiring star-by-star customization of the stellar property fields to maintain the levels of internal consistency that the TIC itself adheres to. We therefore decided not to adopt this information for the current TIC.
We do not expect this change in the treatment of known exoplanet hosts to have major effects on the TIC. All such stars are still listed in the TIC, and we have no reason to believe that their stellar parameters—as determined through the procedures described in this paper along with all other TIC stars—are any less reliable than the rest of the TIC stars of similar stellar types. Known planet host stars can still be observed for various science goals by TESS, and the only impact that the absence of highly curated parameters will present is a less precise determination of resulting transit properties from the default TESS transit search pipeline. However, individual investigators can always recalculate such properties themselves using published stellar information.
A.3. Other Lists
- 1.Bright Stars: No longer exists; bright stars are included in the TIC but not as a specially curated list with separate procedures nor with special priorities.
- 2.Hot Subdwarfs: Has been updated; these are incorporated into the TIC and CTL as a total override.
- 3.Guest Investigator Targets: We import proposed GI Cycle 2 targets that did not have a preexisting TIC ID as new objects.
Appendix B: Provenance Flags in the TIC
B.1. Provenance Flags in Earlier Versions of the TIC
Table 5 presents a summary of data provenance flags used in TICv8 and in previous TIC versions.
Table 5. Brief Description of Flags in TICv8 and Earlier TIC Versions
Column | Name | Flags | Description |
---|---|---|---|
12 | Objtype | ⋯ | Flag to identify the object's type |
⋯ | ⋯ | star | object is a star |
⋯ | ⋯ | extended | object is a galaxy/extended source |
13 | Typesrc | ⋯ | Flag to identify the source of the object |
⋯ | ⋯ | gaia2 | stellar source from Gaia DR2 |
⋯ | ⋯ | hip | stellar source is Hipparcos |
⋯ | ⋯ | cooldwarfs or cdwrf | stellar source is the Cool Dwarf list |
⋯ | ⋯ | 2mass | stellar source is 2MASS |
⋯ | ⋯ | lepine | stellar source is Lepines All-sky Catalog of Bright M Dwarfs (2011) |
⋯ | ⋯ | tmgaia | stellar source from Gaia with unique 2MASS match |
⋯ | ⋯ | tmmgaia | stellar source from Gaia without unique 2MASS match |
⋯ | ⋯ | hotsd or hotsubdwarf | stellar source is the Hot Subdwarf list |
⋯ | ⋯ | gicycle1 | stellar source is the GI cycle 1 program |
⋯ | ⋯ | astroseis | stellar source from the T asteroseismology task group |
16 | Posflag | ⋯ | Flag to identify the source of the object's position |
⋯ | ⋯ | gaia2 | stellar source from Gaia DR2 |
⋯ | ⋯ | hip | stellar source is Hipparcos |
⋯ | ⋯ | cooldwarfs or cdwrf | stellar source is the Cool Dwarf list |
⋯ | ⋯ | 2mass | stellar source is 2MASS |
⋯ | ⋯ | lepine | stellar source is Lepine All-sky Catalog of Bright M Dwarfs (2011) |
⋯ | ⋯ | tmgaia | stellar source from Gaia with unique 2MASS match |
⋯ | ⋯ | tmmgaia | stellar source from Gaia without unique 2MASS match |
⋯ | ⋯ | hotsd or hotsubdwarf | stellar source is the Hot Subdwarf list |
⋯ | ⋯ | gicycle1 | stellar source is the GI cycle 1 program |
⋯ | ⋯ | 2MASSEXT | extended source from 2MASS extended source catalog |
⋯ | ⋯ | astroseis | stellar source from the T asteroseismology task group |
21 | PMFlag | ⋯ | Flag to identify the source of the object's proper motion |
⋯ | ⋯ | gaia2 | proper motions from Gaia DR2 |
⋯ | ⋯ | ucac4 | proper motions from UCAC4 |
⋯ | ⋯ | tgas | proper motions from Tycho2-Gaia Astrometric Solution |
⋯ | ⋯ | sblink | proper motions from SuperBlink |
⋯ | ⋯ | tycho2 | proper motions from Tycho2 |
⋯ | ⋯ | hip | proper motions from Hipparcos |
⋯ | ⋯ | ucac5 | proper motions from UCAC5 |
⋯ | ⋯ | hsoy | proper motions from Hot Stuff for One Year |
24 | PARFlag | ⋯ | Flag to identify the source of the object's parallax |
⋯ | ⋯ | gaia2 | parallax from Gaia DR2 |
⋯ | ⋯ | tgas | parallax from Tycho2-Gaia Astrometric Solution |
⋯ | ⋯ | hip | parallax from Hipparcos |
63 | TESSFlag | ⋯ | Flag to identify the source of the object's T magnitude |
⋯ | ⋯ | goffs | magnitude calculated from offset with Gaia magnitude |
⋯ | ⋯ | gpbr | magnitude calculated from Gaia DR1 G mag and 2MASS photographic B mag |
⋯ | ⋯ | gbprp | magnitude calculated from Gaia GBP − GRP color |
⋯ | ⋯ | rered | magnitude calculated from de-reddened Gaia colors, then re-reddened |
⋯ | ⋯ | hotsd or hotsubdwarf | magnitude adopted from Hot Subdwarf list |
⋯ | ⋯ | cooldwarfs or cdwrf | magnitude from Cool Dwarf list (Muirhead et al. 2018) |
⋯ | ⋯ | gaiak | magnitude calculated from G and 2MASS KS |
⋯ | ⋯ | gaiaj | magnitude calculated from G and 2MASS J |
⋯ | ⋯ | joffset2 | magnitude calculated from 2MASS J and an offset (+1.75 for J − KS > 1) |
⋯ | ⋯ | hipvmag | magnitude calculated Hipparcos V magnitude |
⋯ | ⋯ | gaiaoffset | magnitude calculated from G and an offset |
⋯ | ⋯ | hoffset | magnitude calculated from 2MASS H offset |
⋯ | ⋯ | vjh | magnitude calculated from V and 2MASS J − H |
⋯ | ⋯ | jhk | magnitude calculated from 2MASS J − KS |
⋯ | ⋯ | vjk | magnitude calculated from V and 2MASS J − KS |
⋯ | ⋯ | hotsd or hotsubdwarf | magnitude adopted from hot subdwarf list |
⋯ | ⋯ | vk | magnitude calculated from V and 2MASS KS |
⋯ | ⋯ | joffset | magnitude calculated from 2MASS J offset (+0.5 for J − KS < −0.1) |
⋯ | ⋯ | gaiav | magnitude calculated from G and V |
⋯ | ⋯ | tmvk | magnitude calculated from V and 2MASS KS (same as vk) |
⋯ | ⋯ | from_apass_i | magnitude from Cool Dwarf list (Muirhead et al. 2018) |
⋯ | ⋯ | from_sdss_ik | magnitude from Cool Dwarf list (Muirhead et al. 2018) |
⋯ | ⋯ | gaiah | magnitude calculated from Gaia and 2MASS H |
⋯ | ⋯ | jh | magnitude calculated from 2MASS J − H |
⋯ | ⋯ | cdwarf | magnitude from Cool Dwarf list (Muirhead et al. 2018) |
⋯ | ⋯ | bpjk | magnitude calculated from photographic B and 2MASS J − KS |
⋯ | ⋯ | voffset | magnitude calculated from V and offset |
⋯ | ⋯ | koffset | magnitude calculated from 2MASS KS and offset |
⋯ | ⋯ | wmean_vk_jhk | magnitude from Cool Dwarf list (Muirhead et al. 2018) |
⋯ | ⋯ | lepine | magnitude from Lepine catalog |
⋯ | ⋯ | gicycle1 | magnitude from GI Cycle 1 proposal |
⋯ | ⋯ | from_sdss_i | magnitude from Cool Dwarf list (Muirhead et al. 2018) |
64 | SPFlag | ⋯ | Flag to identify the source of the object's stellar characteristics |
⋯ | ⋯ | cooldwarfs or cdwrf | mass and radius from Cool Dwarf list (see Section A and Muirhead et al. 2018) |
⋯ | ⋯ | hotsd or hotsubdwarf | mass and radius from the Hot Subdwarf list (see Section A) |
⋯ | ⋯ | gaia2 | characteristics computed from measured Gaia/DR2 parallax |
⋯ | ⋯ | spec7 | characteristics computed using the spectroscopic Torres et al. (2010) relations |
⋯ | ⋯ | tic7 | characteristics imported from TICv7 |
⋯ | ⋯ | splin | characteristics imported from TICv7, spline relation |
B.2. Provenance Flags New to TICv8
Table 6 presents a summary of data provenance flags newly introduced in TICv8.
Table 6. Brief Description of New Provenance Flags in TICv8
Column | Name | Flags | Description |
---|---|---|---|
91 | EBVFlag | ⋯ | Flag to identify the source of the object's reddening |
⋯ | ⋯ | 0 | The star is closer than 100 pc, no extinction applied |
⋯ | ⋯ | 1 | The reddening from Schlegel et al. (1998) is applied |
⋯ | ⋯ | 2 | The reddening from Green et al. (2018) is applied |
107 | TeffFlag | ⋯ | Flag to identify the source of the object's effective temperature |
⋯ | ⋯ | cooldwarfs or cdwrf | from the Cool Dwarf list |
⋯ | ⋯ | hotsd or hotsubdwarf | from the Hot Subdwarf list |
⋯ | ⋯ | spect | from spectroscopic catalogs |
⋯ | ⋯ | gaia2 | from Gaia GBP − GRP color |
⋯ | ⋯ | spec | imported from TICv7 |
112 | gaiaqflag | ⋯ | Flag to identify the quality of the Gaia astrometric and photometric information |
⋯ | ⋯ | −1 | insufficient information |
⋯ | ⋯ | 0 | poor-quality Gaia information |
⋯ | ⋯ | 1 | good-quality Gaia information |
114 | Vmagflag | ⋯ | Flag to identify the source of the object's V magnitude |
⋯ | ⋯ | gaia2 | V magnitude calculated from Gaia GBP − GRP color |
⋯ | ⋯ | ucac4 | V magnitude calculated from ucac4 magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | tycho2v3 | V magnitude calculated from Tycho-VT magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | tycho2v | V magnitude calculated from Tycho-VT magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | tycho | V magnitude calculated from Tycho-VT magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | apassdr9 | V magnitude imported from APASS DR9 (see Stassun et al. 2018) |
⋯ | ⋯ | apass | V magnitude imported from APASS DR7 (see Stassun et al. 2018) |
⋯ | ⋯ | sblink | V magnitude imported from SuperBlink (see Stassun et al. 2018) |
⋯ | ⋯ | mermil | V magnitude imported from the Mermilloid catalog (see Stassun et al. 2018) |
⋯ | ⋯ | cdwarf | V magnitude imported from the Cool Dwarf list (TICv6; see Stassun et al. 2018) |
⋯ | ⋯ | cdwrf | V magnitude imported from the Cool Dwarf list (TICv7; see Stassun et al. 2018) |
⋯ | ⋯ | sirful | V magnitude imported from the Sirful catalog (see Stassun et al. 2018) |
⋯ | ⋯ | hipvmag | V magnitude calculated using Hipparcos V (see Stassun et al. 2018) |
⋯ | ⋯ | gaiak | V magnitude calculated from Gaia DR1 G and 2MASS KS (see Stassun et al. 2018) |
115 | Bmagflag | ⋯ | Flag to identify the source of the object's B magnitude |
⋯ | ⋯ | tycho2b3 | B magnitude calculated from Tycho-BT magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | tycho2b | B magnitude calculated from Tycho-BT magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | tycho | B magnitude calculated from Tycho-BT magnitude (see Stassun et al. 2018) |
⋯ | ⋯ | apassdr9 | B magnitude imported from APASS DR9 (see Stassun et al. 2018) |
⋯ | ⋯ | bpbj | B magnitude calculated from 2MASS photometric B (see Stassun et al. 2018) |
⋯ | ⋯ | mermil | B magnitude imported from the Mermilloid catalog (see Stassun et al. 2018) |
116 | splists | ⋯ | Flag to identify if the object is in a specially curated list |
⋯ | ⋯ | cooldwarfs_v8 | star is identified in the Cool Dwarf specially curated list |
⋯ | ⋯ | hotsubdwarfs_v8 | star is identified in the Hot Subdwarf specially curated list |
Appendix C: CTL Filtergraph Portal
Table 7 summarizes the contents of the enhanced CTL provided via the Filtergraph data visualization portal service at filtergraph.vanderbilt.edu/tess_ctl.
Table 7. Basic Description of All Quantities Found on the Filtergraph Portal
Descriptions of CTL Contents | |
---|---|
Column Name | Brief Description |
Right_Ascension | Right ascension of the star, equinox J2000.0, epoch 2000.0 (degrees) |
Declination | Declination of the star, equinox J2000.0, epoch 2000.0 (degrees) |
Tess_mag | Calculated TESS magnitude |
Teff | Adopted effective temperature (K) |
Priority | Priority based on T, radius, and flux contamination with boosts and deboosts |
Radius | Stellar radius derived from photometry (R⊙) |
Mass | Stellar mass derived from photometry (M⊙) |
ContamRatio | Ratio of contaminating flux to flux from the star |
Observed | 0 or 1 if the star has been observed already in 2 minute cadence |
Sector | Sector (or combination of sectors) in which the star was observed |
Galactic_Long | Longitude in the Galactic coordinate frame (degrees) |
Galactic_Lat | Latitude in the Galactic coordinate frame (degrees) |
Ecliptic_Long | Longitude in the ecliptic coordinate frame (degrees) |
Ecliptic_Lat | Latitude in the ecliptic coordinate frame (degrees) |
Parallax | Parallax of the star provided by either TGAS/Gaia or Hipparcos (mas) |
Distance | Distance of the star provided (pc) |
Total_Proper_Motion | Total proper motion of the star (mas yr−1) |
V_mag | Adopted V magnitude |
J_mag | 2MASS J magnitude |
H_mag | 2MASS H magnitude |
KS_mag | 2MASS KS magnitude |
G_mag | Gaia magnitude |
u_mag | SDSS u magnitude |
g_mag | SDSS g magnitude |
r_mag | SDSS r magnitude |
i_mag | SDSS i magnitude |
z_mag | SDSS z magnitude |
W1_mag | ALLWISE W1 magnitude |
W2_mag | ALLWISE W2 magnitude |
W3_mag | ALLWISE W3 magnitude |
W4_mag | ALLWISE W4 magnitude |
G_BP | Gaia DR2 BP magnitude |
G_RP | Gaia DR2 RP magnitude |
Hipparcos_Number | Hipparcos ID |
Tycho2_ID | Tycho-2 ID |
2MASS_ID | 2MASS ID |
TICID | ID for the star in the TESS Input Catalog |
Special_Lists | Identifies whether a star is in a special list |
Priority_TIC4 | Priority based on the TIC-4 schema |
Priority_TIC5 | Priority based on the TIC-5 schema |
Priority_TIC6 | Priority based on the TIC-6 schema |
Priority_Non_Contam | Priority without neighbor contamination |
Priority_No_Boost | Priority without sector boosting |
Teff_Src | Source of the effective temperature (see Teff column) |
Teff_Err | Error in the effective temperature (K) |
Teff_Err_Pos | Estimated positive error in the effective temperature from MC (K) |
Teff_Err_Neg | Estimated negative error in the effective temperature from MC (K) |
EBMV | Applied extinction |
EBMV_Err | Error in extinction |
EBMV_Src | Identifies source of adopted extinction |
StarChar_Src | Identifies source of adopted stellar parameters |
Radius_Err | Uncertainty in the radius (solar) |
Radius_Err_Pos | Estimated positive error in the stellar radius from MC (solar) |
Radius_Err_Neg | Estimated negative error in the stellar radius from MC (solar) |
Mass_Err | Uncertainty in the mass (solar) |
Logg | Surface gravity (cgs) |
Logg_Err | Uncertainty in the surface gravity (cgs) |
Rho | Density (solar) |
Rho_Err | Uncertainty in the density (solar) |
Lum | Luminosity (solar) |
Metallicity | Stellar metallicity from spectra, if available (dex) |
Metallicity_Err | Stellar metallicity error from spectra, if available (dex) |
Noise_Star | Uncertainty from the star counts |
Noise_Sky | Uncertainty from the sky counts |
Noise_Contaminates | Uncertainty from the neighboring star counts |
Noise_Readout | Uncertainty in the detector readout |
Noise_Systematics | Uncertainty floor |
Distance_Err | Uncertainty in the distance (pc) |
Distance_Err_Pos | Estimated positive error in the distance from MC (pc) |
Distance_Err_Neg | Estimated negative error in the distance from MC (pc) |
Footnotes
- 32
Note that, in order to ensure simple and systematically applicable criteria for adoption, we do not attempt to take quality flags from the input spectral catalogs into account; users are encouraged to check the flag values in the source catalogs where available.
- 33
The Gaia astrometric quality parameter (u) has recently been improved by renormalization (see Lindegren 2018). This became public after the initial TICv8 was built (ESA published the most recently computed RUWE values for Gaia DR2 on 2019 June 10 at http://cdn.gea.esac.esa.int/Gaia/gdr2/ruwe/csv/), so we have not incorporated the "Renormalized Unit Weight Error" (RUWE) into the TICv8 quality assessment scheme. This could affect the choice of which stars we compute properties for in a small number of cases, but it does not affect the computed properties themselves.
- 34
There appears to be a discrepancy between the polynomial relation for the cooler segment by Andrae et al. (2018) and what is shown in their Figure 9. In that figure, the BCG values extend a bit more negative at the cool end (to about −1.7) than indicated by their polynomial. We have not attempted to reconcile this discrepancy, but simply note it here for completeness.
- 35
Note that this implies the final uncertainties from our Markov chain Monte Carlo (MCMC) estimates are likely to be underestimated for stars within the plane or south of −30° decl.