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Mass evaluation for red giant stars based on the spectroscopically determined atmospheric parameters

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Abstract

The mass (\(M\)) of a star can be evaluated from its spectroscopically determined effective temperature (\(T_{\mathrm{eff}}\)) and metallicity ([Fe/H]) along with the luminosity (\(L\); derived from parallax), while comparing them with grids of theoretical evolutionary tracks. It has been argued, however, that such a track-based mass (\(M_{\mathrm{trk}}\)) may tend to be overestimated for the case of red giants. Meanwhile, there is an alternative approach of evaluating mass (\(M_{\mathit{gLT}}\)) directly from surface gravity (\(g\)), \(L\), and \(T_{\mathrm{eff}}\). The practical reliability of \(M_{\mathit{gLT}}\) was examined for \(\sim 100\) benchmark giants in the Kepler field, for which atmospheric parameters are already determined and the reliable mass (\(M_{\mathrm{seis}}\)) along with the evolutionary status are known from asteroseismology. In addition, similar check was also made for the accuracy of \(M_{\mathrm{trk}}\) for comparison. It turned out that, while a reasonable correlation is seen between \(M_{\mathit{gLT}}\) and \(M_{\mathrm{seis}}\) almost irrespective of the stellar property, its precision is rather insufficient because \(\log (M_{\mathit{gLT}}/M_{\mathrm{seis}})\) distributes rather widely within \(\sim \pm 0.2\)–0.3 dex. In contrast, the reliability of \(M_{\mathrm{trk}}\) was found to depend on the evolutionary status. Although \(M_{\mathrm{trk}}\) and \(M_{\mathrm{seis}}\) are satisfactorily consistent with each other (typical dispersion of \(\log (M_{\mathrm{trk}}/M_{\mathrm{seis}})\) is within ∼± 0.1 dex) for H-burning red giants as well as He-burning 2nd clump giants of higher mass, \(M_{\mathrm{trk}}\) tends to be considerably overestimated as compared to \(M_{\mathrm{seis}}\) by up to ≲ 0.4 dex for He-burning 1st clump giants of lower mass. Accordingly, \(M_{\mathit{gLT}}\) and \(M_{\mathrm{trk}}\) are complementary with each other in terms of their characteristic merit and demerit.

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Data Availability

Regarding the open software tools (TGVIT, EXTINCT, PARAM), which are closely related to the contents of this article, their URLs are given in the footnotes of the main text. The fundamental data (equivalent widths, abundances, atomic data) of Fe i and Fe ii lines, based on which the atmospheric parameters used in this study were spectroscopically determined, are given in the electronic tables of the previous papers of the author (referenced in Table 1).

Notes

  1. In the case of FGK-type main sequence stars, Brewer et al. (2015) arrived at a similar conclusion that their results of spectroscopic \(\log g\) are in reasonable consistency with seismic gravities.

  2. http://stev.oapd.inaf.it/cgi-bin/param_1.3/.

  3. The spectra for 13 (out of 103) stars were taken from Thygesen et al. (2012). Regarding 3 stars (KIC 1726211, KIC 2714397, KIC 3744043) for which both Subaru data and Thygesen et al.’s (2012) data are available, the results based on the former Subaru spectra are adopted in this study.

  4. https://www2.nao.ac.jp/~takedayi/tgv/.

  5. Several recent studies have reported that small corrections should be applied to the original Gaia parallaxes. This effect is separately discussed in the Appendix.

  6. http://asterisk.apod.com/library/ASCL/extinct/extinct.for.

  7. The error of \(A_{V}\)(EXTINCT) is evaluated as the standard deviation of the mean of those derived by different subroutines (taken from various literature using different dust maps), as described in the header of the EXTINCT program. Such obtained error in \(A_{V}\)(EXTINCT) was further assumed to be equal to that of \(A_{V}\)(KIC), because there is no other way for estimating \(A_{V}\)(KIC) errors. Assigning \(\pm 0.1\) mag to \(V\) errors of nearby giants is just tentative, owing to the lack of information on errors in absolute photometry for such bright stars, though this may be a somewhat overestimation.

  8. In implementing PARAM1.3, the option of PARSEC version 1.1 (Bressan et al. 2012) was selected for the evolutionary tracks, and the default setting was applied unchanged for the Bayesian priors.

  9. Accordingly, this consequence (considerable \(M_{\mathrm{trk}} > M_{\mathrm{seis}}\) discrepancy is seen for lower-mass RC1 giants of \(M < 1.8 M_{\odot}\)) apparently contradicts the result of Malla et al. (2020) who argued based on a sample of 16 giants that large overestimation of spectroscopic masses occurs for higher mass giants of \(M > 1.6 M_{\odot}\)).

  10. Although the cause of this discrepancy is not clear, the difference in the adopted set of Fe i and Fe ii lines might be involved. The number of lines used by Luck (2015) amounts up to ∼ 500–600 (Fe i) and ∼ 50–60 (Fe ii). These numbers are considerably larger (by a factor of ∼ 2–3) compared to the case of the author’s previous studies (T08, T09, T15, T16, T19), where the adopted lines were limited to those weaker than 120 mÅ, because stronger ones affected by the effect of damping wings were intentionally avoided (as they tend to be problematic in view of the difficulty in equivalent-width measurements or uncertainties in damping parameters). Accordingly, if such stronger lines were included in Luck’s (2015) analysis, this might be the reason for the disagreement.

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Acknowledgements

This research has been carried our by using the SIMBAD database, operated by CDS, Strasbourg, France. For the purpose of mass determination in comparison with evolutionary tracks, the open software PARAM (ver.1.3) was used via the web interface at the PARAM site maintained by Dr. Leo Girardi.

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The author declares that no funds, grants, or other support were received during the preparation of this manuscript.

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Correspondence to Yoichi Takeda.

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10509_2022_4091_MOESM1_ESM.dat

The data contained in this file summarize the input data and the output results for the software PARAM1.3 (da Silva et al. 2006), which was employed in this study to determine the mass values of 114 program stars by comparing their positions on the HR diagram with theoretical evolutionary tracks. (DAT 14 kB)

10509_2022_4091_MOESM2_ESM.dat

The basic data (such as spectroscopically established atmospheric parameters, photometric quantities, parallaxes) necessary for mass evaluation and the resulting masses for 114 program stars are summarised in this data table, where the mass values determined by other methods are also given for comparison. (DAT 12 kB)

Appendix: effect of parallax correction on mass determination

Appendix: effect of parallax correction on mass determination

Regarding the parallax data necessary for evaluating \(L\) (luminosity) by using Eq. (2), we invoked Gaia DR2 values (\(\pi _{\mathit{Gaia}}\)) for all of the 103 giants in the Kepler field. After the release of these Gaia data, several studies argued the possibility of small zero-point offset to be applied to \(\pi _{\mathit{Gaia}}\). It is interesting to examine the impact of such small \(\pi \) corrections in mass determination, given that evaluation of \(M_{\mathrm{trk}}\) from intricate evolutionary tracks may be sensitive to a slight change in \(L\).

Zinn et al. (2019) reported based on asteroseismic data of red giants in the Kepler field that zero-point offset exists in the Gaia DR2 parallaxes, which depends on Gaia astrometric pseudocolour (\(\nu _{\mathrm{eff}}\)) and Gaia \(G\)-band magnitude. According to the formula derived by them, the values of this offset (\(\pi _{\mathrm{Zinn}} - \pi _{\mathit{Gaia}}\)) for each of our 103 Kepler giants (\(\nu _{\mathrm{eff}} \sim \) 1.5–1.6, \(G \sim \) 6.7–12.1; cf. Fig. 8a) turned out ∼ 0.05–0.07 m.a.s. as shown in Fig. 8b. This amount of slight increase in \(\pi \) leads to a decrease in \(\log L\) by ≲ 0.01–0.02 dex (\(-0.4 \log (\pi _{ \mathrm{Zinn}}/\pi _{\mathit{Gaia}})\)). Although such a small change in \(\log L\) has a negligible effect in \(M_{\mathit{gLT}}\) (only a few per cent at most), it might have an appreciable impact on \(M_{\mathrm{trk}}\). We thus conducted a test determination of \(M_{\mathrm{trk}}\) again based on PARAM but adopting \(\pi _{\mathrm{Zinn}}\) instead of \(\pi _{\mathit{Gaia}}\) (other input parameters were kept unchanged). The resulting mass values (\(M_{\mathrm{trk}}^{\mathrm{Z}}\)) are compared with those of original \(\pi _{\mathit{Gaia}}\)-based \(M_{\mathrm{trk}}\) in Fig. 8c, where appreciable deviations (up to ≲ 20–30%) are observed for some cases despite a reasonable correlation overall. A closer inspection revealed that such problematic stars are seen in the luminosity range of \(\log (L/L_{\odot}) \sim \) 1.5–2.0 (cf. upper inset of Fig. 8d), which almost coincides with the region of large discrepancies between \(M_{\mathrm{trk}}\) and \(M_{\mathrm{seis}}\) (cf. Sect. 5.1). Accordingly, this effect of \(M_{\mathrm{trk}}\) changes due to \(\pi \) correction is eventually inconspicuous in the \(\log (M_{\mathrm{trk}}/M_{\mathrm{seis}})\) vs. \(\log L\) diagram (Fig. 8d), because stars showing appreciable differences (up to \(\log (M_{\mathrm{trk}}^{\mathrm{Z}}/M_{\mathrm{trk}}) \lesssim 0.1\) dex) just fall in the luminosity region where the dispersion is already large, as can be confirmed by comparing Fig. 8d with Fig. 5h (both appear almost similar). As such, we may state that the essential conclusion is not affected at all by using \(\pi _{\mathrm{Zinn}}\) instead of \(\pi _{\mathit{Gaia}}\).

Fig. 8
figure 8

(a) Correlation between \(G\) (magnitude in the \(G\)-band) and \(\nu _{\mathrm{eff}}\) (astrometric pseudocolour) for the 103 Kepler giants (taken from Gaia DR2 catalogue). (b) Zero-point offset corrections (\(\pi _{\mathrm{Zinn}} - \pi _{\mathit{Gaia}}\)), which were evaluated from \(G\) and \(\nu _{\mathrm{eff}}\) by using Zinn et al.’s (2019) relation, plotted against \(\pi _{\mathit{Gaia}}\). (c) Correlation between \(M_{\mathrm{trk}}^{\mathrm{Z}}\) (derived by using PARAM but with \(\pi _{\mathrm{Zinn}}\)) and \(\pi _{\mathit{Gaia}}\)-based \(M_{\mathrm{trk}}\) derived in Sect. 4, where the meanings of the symbols are the same as in Fig. 3. (d) The logarithmic ratios of \(\log (M_{\mathrm{trk}}^{Z}/M_{\mathrm{seis}})\) plotted against \(\log L^{\mathrm{Z}}\) (\(\pi _{\mathrm{Zinn}}\)-based luminosity), which is arranged similarly to Fig. 5h for the sake of comparison. Note that \(\log L^{\mathrm{Z}}\)-dependence of \(\log (M_{\mathrm{trk}}^{\mathrm{Z}}/M_{\mathrm{trk}})\) is also depicted in the upper inset of this panel. (e) Distance differences for 103 Kepler giants between Bailer-Jones et al.’s (2018) values (\(d_{\mathrm{Bailer}}\)) and those derived from Gaia DR2 parallaxes (\(d_{\mathit{Gaia}} \equiv \pi _{\mathit{Gaia}}^{-1}\)), plotted against \(d_{\mathit{Gaia}}\). (f) Difference between the “pseudo”-parallax (formally derived as \(\pi ^{*}_{\mathrm{Bailer}} \equiv d_{\mathrm{Bailer}}^{-1}\)) and \(\pi _{\mathit{Gaia}}\), plotted against \(\pi _{\mathit{Gaia}}\)

Throughout this study, the distance (\(d\)) was derived as the reciprocal of the parallax (\(1/\pi \)) as usually done. However, Bailer-Jones et al. (2018) argued that distances obtained by simply inverting the Gaia DR2 parallaxes may suffer appreciable errors. Since this effect becomes progressively more significant with an increase in \(\sigma _{\pi}/\pi \) (see Fig. 6 in Bailer-Jones et al. 2018; \(\sigma _{\pi}\) is the error of \(\pi \)), it may be less significant in the present case where \(\sigma _{\pi}/\pi \) is only several per cent at most. Anyway, we also checked how much correction is expected for our Kepler-field giants, because the revised distance data (\(d_{\mathrm{Bailer}}\)) are available in Bailer-Jones et al.’s (2018) catalogue. Figure 8e shows that the difference between \(d_{\mathrm{Bailer}}\) and \(d_{\mathit{Gaia}}\) (\(\equiv 1/\pi _{\mathit{Gaia}}\); adopted in this study) is almost zero at small \(d\) but systematically grows towards larger \(d\). Interestingly, in terms of the “pseudo”-parallax (formally derived as \(\pi ^{*}_{\mathrm{Bailer}} \equiv d_{\mathrm{Bailer}}^{-1}\)), the difference between these two (\(\pi ^{*}_{\mathrm{Bailer}} - \pi _{\mathit{Gaia}}\)) is almost constant at \(\simeq +0.03\) m.a.s. (Fig. 8f), which means that this effect is equivalent to the zero-point offset of \(\pi \) as long as our program stars are concerned. Considering that this offset is half as small as that of Zinn et al. (2019) discussed above, we may similarly state that it does not have any significant impact on our final conclusion.

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Takeda, Y. Mass evaluation for red giant stars based on the spectroscopically determined atmospheric parameters. Astrophys Space Sci 367, 64 (2022). https://doi.org/10.1007/s10509-022-04091-0

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