Open Access
Issue
A&A
Volume 699, July 2025
Article Number A368
Number of page(s) 17
Section Stellar structure and evolution
DOI https://doi.org/10.1051/0004-6361/202555099
Published online 25 July 2025

© The Authors 2025

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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1. Introduction

The study of stellar evolution, particularly the horizontal branch (HB) phase, is crucial for understanding the life cycle of stars. The HB phase, characterized by helium core burning in low- to intermediate-mass stars, follows the red giant branch (RGB) phase and precedes the asymptotic giant branch (AGB) phase. This evolutionary stage is marked by a diverse range of stellar properties, influenced by initial chemical compositions and evolutionary histories, which makes it a key focus in astrophysical research (e.g., Salaris & Cassisi 2005; Catelan 2009).

In this sense, stellar evolutionary tracks are essential tools for interpreting observational data and understanding stellar populations. However, creating these tracks is computationally intensive and time-consuming, especially when a wide spectrum of initial parameters must be considered to match the observed diversity in stellar populations. Historically, researchers have dedicated significant resources to developing comprehensive sets of evolutionary tracks (e.g., Pietrinferni et al. 2004; VandenBerg et al. 2006; Dotter et al. 2008; Valcarce et al. 2012). These tracks typically vary in mass, global metallicity (Z), initial helium abundance (Y), and alpha-element enhancement ([α/Fe]), reflecting the different chemical compositions observed in stars.

The progenitor mass (MMS), defined here as the mass of the main sequence (MS) star that has just reached the RGB tip at a given age, is another critical parameter influencing the HB phase, particularly affecting the helium core mass (McHe). Understanding the impact of progenitor mass variations on HB stars is essential to accurately model their evolutionary paths and properties (Rood 1973). Despite the availability of various sets of evolutionary tracks, the need for a rapidly accessible and comprehensive database of HB evolutionary tracks remains pressing.

In this paper, we present a new extensive set of HB evolutionary tracks computed using the Princeton-Goddard-Pontificia Universidad Católica stellar evolution code (PGPUC SEC, Valcarce et al. 2012). This dataset includes over 19 000 evolutionary tracks with varying chemical compositions and progenitor masses, providing a robust tool for studying the effects of these parameters on HB stars. We have computed zero-age, middle-age, and terminal-age HB loci to investigate the impact of changing initial conditions on HB stellar populations. These evolutionary tracks are integrated into the PGPUC Online database, designed for fast interpolation and downloading, thereby facilitating efficient comparison of theoretical models with observational data.

This paper details the methodology used to generate the evolutionary tracks, the range of parameters considered, and a potential application. It is organized as follows. First, in Sect. 2 we describe the code used for creating the evolutionary tracks, followed by Sect. 3, which presents the HB evolutionary tracks created. Then, in Sect. 4 we describe the three main loci – zero-age, middle-age-, and terminal-age – that were created with these HB models, followed by the conclusions in Sect. 5.

2. The PGPUC stellar evolution code

The PGPUC SEC, described in full in Valcarce et al. (2012), represents an updated version of the code created by M. Schwarzschild and R. Härm at Princeton University (Schwarzschild & Härm 1965; Härm & Schwarzschild 1966), and then extensively modified by Allen V. Sweigart at NASA's Goddard Space Flight Center (Sweigart 1971, 1973, 1994, 1997; Sweigart & Demarque 1972; Sweigart & Gross 1974, 1976; Sweigart & Catelan 1998, and references therein). The PGPUC SEC serves as a robust tool for primarily investigating low-mass stars spanning from the MS to the white dwarf cooling sequence. Low-mass stars are defined as those that develop a degenerate helium core following the MS evolution, corresponding to stars with masses below 2 or 3 M, depending on their chemical composition.

2.1. Input physics

The physical inputs utilized in the PGPUC code include:

Proper treatment of semiconvection at the outer edge of the convective core is crucial to represent the HB phase correctly (Demarque & Mengel 1972). The PGPUC SEC treats this semiconvection with the procedure described in Sweigart & Demarque (1972). The treatment for suppressing the so-called breathing pulses is implemented as described in Sweigart (1971).

Horizontal branch models include an amount of extra helium in the envelope, typically ΔYRGB≤0.02, depending on Z, Y, and MMS (see Table B.1). This enrichment is associated with the occurrence of the first dredge-up during the RGB stage, which brings helium-rich material from the interior to the outer layers of the star (e.g., Iben 1964; Renzini 1977; Sweigart & Gross 1978).

Updates to some of these input physics ingredients have been provided in the literature in recent years. If taken into account, they would introduce small modifications to the resulting theoretical models and evolutionary tracks. In this work, we choose to maintain the original input physics (as in Valcarce et al. 2012) to ensure consistency with the existing PGPUC Online database. By keeping the same physical assumptions, we preserve the homogeneity between previously published PGPUC models and the new ones presented in this paper, ensuring that no discrepancies arise from differences in the input physics.

2.2. The PGPUC Online database

The PGPUC Online database2 enables users to interpolate evolutionary tracks from the MS to the tip of the RGB, isochrones, and zero-age horizontal branch (ZAHB) loci from a finely sampled grid of theoretical evolutionary tracks created utilizing the PGPUC SEC. Initially, this grid encompassed masses from M = 0.5 M to M = 1.1 M, initial helium abundances from Y = 0.230 to Y = 0.370, and global metallicities from Z = 0.00016 to Z = 0.01570, with a fixed distribution of alpha-elements of [α/Fe]=log(α/Fe)−log(α/Fe) = 0.3 for a Grevesse & Sauval (1998) solar chemical composition, with our solar models being characterized by (Z, Y)=(0.0167, 0.262) (Valcarce et al. 2012). Mass loss follows the Schröder & Cuntz (2005) prescription, with η = 1.0. Further details can be found in Valcarce et al. (2012). Over the past decade, this grid has been expanded to include models for [α/Fe] = 0.0, and a mass loss rate with η = 0.0, as well as extending metallicities from Z = 0.00001 to Z = 0.06000 for evolutionary tracks and isochrones, and from Z = 0.00001 to Z = 0.03000 for ZAHB loci.

An essential input parameter for creating a ZAHB locus is MMS, which, together with Z, Y, and [α/Fe], determines the McHe value at the tip of the RGB, and thus at the ZAHB. The MMS parameter is particularly relevant for accurately predicting the position and shape of the ZAHB at high Teff (e.g., Teff>11 500 K) and defining the evolution throughout the HB phase (Eggleton 1968; Sweigart & Gross 1976, 1978; VandenBerg 1992). Higher values of this parameter (MMS>1.0 M) also influence the location of HB models at the red end. For a fixed chemical composition, HB models originating from higher MMS progenitors tend to appear redder and more luminous than their lower-mass counterparts. This shift has important consequences for their pulsation properties (e.g., Cassisi et al. 1997).

The models provided by this database are available in the theoretical Hertzsprung–Russell diagram as well as in various photometric filters that can be chosen by the user. Currently, users have a choice from about 50 filter systems, primarily derived from bolometric corrections by Chen et al. (2019), as well as by Casagrande & VandenBerg (2018).

Moreover, this database includes two calculators for determining metallicity values and iron-over-hydrogen ratios ([Fe/H]). One calculator enables users to obtain the metallicity, Z, from a given [Fe/H] value, helium mass fraction, Y, and alpha-element enhancement ratio, [α/Fe]3, while the other allows for the reverse calculation for obtaining [Fe/H] from Z, Y, and [α/Fe]4. In the following section, we present a significant expansion of this grid to encompass the evolution of HB stars from the ZAHB to the terminal-age HB (TAHB).

3. Description of HB tracks

The HB evolutionary tracks (hereafter, the HB tracks) were calculated using the same grid of chemical compositions as the ones employed in the set of evolutionary tracks spanning from the MS to the tip of the RGB available in the PGPUC Online database. Specifically, this entails:

  • Metallicity by mass: Z = 0.00001, 0.00016, 0.00028, 0.00051, 0.00093, 0.00160, 0.00284, 0.00503, 0.00890, 0.01570, and 0.03000.

  • Helium abundance by mass: Y = 0.230, 0.245, 0.270, 0.295, 0.320, 0.345, and 0.370.

  • Alpha-element enhancement ratio: [α/Fe] = 0.0 and 0.3.

We also included three different MS progenitor masses, namely MMS = 0.900, 0.800, and 0.700 M, for each set of chemical compositions. This was done to account for the effect of age on a given stellar population, which is reflected in the initial McHe shared by all HB tracks for a given chemical composition and age. In this work, the evolution of the progenitor was computed from the MS to the ZAHB without mass loss. Thus, the maximum mass of a set of HB tracks is equal to the corresponding progenitor mass.

The masses used for the computations in a set of HB tracks (hereafter, MHB) range from the mass of the progenitor down to 0.550 M in steps of ΔM = 0.010 M, and from 0.550 M down to the lowest mass in each set (Mmin, which differs from McHe by ≲0.0002 M, in the sense that McHe is slightly smaller), in steps of ΔM = 0.005 M. Note that the Mmin value is different for different chemical compositions and MMS values.

With all these variables considered, we computed a total of 19 441 HB tracks using the Geryon 2 supercomputer5, which amounted to a total of 1620 days of CPU time. All these tracks are included in the PGPUC Online database, providing a smooth grid for interpolating any parameter within the grid.

Figure 1 shows a set of computed HB tracks for Z = 0.00001, [α/Fe] = 0.0, and Y = 0.245 and three MMS values, demonstrating the smoothness of our grid. Figure 2 shows the comparison between HB tracks with MMS = 0.800 and 0.900 M against 0.700 M for the same chemical composition as in Fig. 1.

thumbnail Fig. 1.

HB evolutionary tracks in the theoretical plane – luminosity, log(L/L), vs. effective temperature, log Teff – for Z = 0.00001, Y = 0.245, and [α/Fe] = 0.00. The top, middle, and bottom left panels show the set of evolutionary tracks corresponding to progenitor masses of MMS = 0.700 M, 0.800 M, and 0.900 M, respectively. The right panels are a zoom-in around the cooler part of the HB. Each panel also shows the minimum mass, Mmin, reached for each set (green lines), corresponding to the hottest track. Blue, red, and gray lines correspond to evolutionary tracks in steps of ΔM = 0.100 M, ΔM = 0.010 M (for masses lower than 0.700 M), and ΔM = 0.005 M (for masses lower than 0.550 M), respectively. Cyan lines correspond to evolutionary tracks computed with masses greater than 0.700 M and lower than 0.800 M, in steps of ΔM = 0.010 M. Yellow lines correspond to evolutionary tracks for masses greater than 0.800 M and lower than 0.900 M, in steps of ΔM = 0.010 M.

thumbnail Fig. 2.

Comparison between HB evolutionary tracks for Z = 0.000010, Y = 0.245, and [α/Fe] = 0.00 with MMS = 0.700 M and: (i) MMS = 0.800 M (left panel), and (ii) MMS = 0.900 M (right panel). In each panel, green and yellow lines correspond to the Mmin value reached for MMS = 0.700 M and the alternative MMS value shown in the plot, respectively. Red and black lines correspond to masses in steps of ΔM = 0.010 M for MMS = 0.700 M and the alternative MMS values, respectively. In like vein, red and gray lines correspond to evolutionary tracks for MMS = 0.700 M and the alternative MMS values, respectively, with masses of MHB = 0.650 M, 0.580 M, 0.560 M, 0.540 M, 0.520 M, and in steps of ΔM = 0.010 M for sets with evolutionary tracks that reach masses lower than 0.500 M.

The HB track with Mmin is shown in each case; the models comprise a small H-rich envelope layer sitting on top of a core of initial mass McHe. The behavior of the HB tracks, including the loops observed at high metallicities and high helium abundances, closely aligns with that observed in other studies (e.g., Sweigart & Gross 1976; Bono et al. 1997a, b; Dotter et al. 2007; Pietrinferni et al. 2013). Similar figures, but for other chemical compositions, can be found in Appendix C.

Figure 2 reveals, as was expected, that the differences between the tracks computed for a fixed MHB but different MMS values increases as the difference in MMS increases. This is particularly evident at lower MHB values. This is due to the fact that, for larger MMS values, the evolution progresses more rapidly along the RGB phase, resulting in a smaller McHe values (e.g., Sweigart & Gross 1978).

As was previously discussed by other authors (Faulkner 1966; Iben & Rood 1970; Gross 1973; Sweigart & Gross 1978; Dorman 1992, among others), the McHe value at the tip of the RGB is a physically well-defined quantity that depends sensitively on the progenitor's initial chemical composition and mass, as well as the adopted input physics. While earlier studies have typically reported McHe values for a limited set of input parameters, our updated PGPUC database provides this information systematically for a broad grid of compositions and MMS. Table B.1 lists McHe, the age at the RGB tip, along with the associated helium enrichment in the envelope and both the ZAHB luminosity and mass at log Teff = 3.83 (a characteristic temperature of the RR Lyrae instability strip) for each progenitor mass, MMS, and chemical composition. These data show that McHe generally decreases with increasing Y and MMS, with a lower variation when Z increases. This structured grid allows for a more continuous and accurate mapping of core masses across different stellar populations, and serves as a robust basis for the construction of HB models.

In order to facilitate the application of PGPUC models in stellar population studies, single HB tracks or complete sets of HB tracks covering the full mass range, from the selected MMS to Mmin, are available for bulk download from the HB section of the PGPUC Online webpage6. In order to avoid creating large files and make it easier to download the sets of HB tracks, the mass steps, ΔMHB, were chosen as follows: ΔMHB = 0.0100 M down to MHB = 0.550 M, after which it decreases to ΔMHB = 0.0050 M for lower masses. Sets of HB tracks with smaller mass steps can be requested via private communication.

Using these HB tracks, it is also possible to calculate the ZAHB, middle-age horizontal branch (MAHB), and TAHB loci for any given chemical composition, which can also be downloaded from the PGPUC Online database. These loci are described in detail in the following section.

4. ZAHB, MAHB, and TAHB loci

To facilitate comparisons between observations and theory, we have used HB tracks to define, as we have done in previous studies (Catelan et al. 2009; Valcarce et al. 2014, 2016), three key reference loci – ZAHB, MAHB, and TAHB – each corresponding to a different evolutionary moment in the HB phase. In particular, in addition to the ZAHB, we used two main percentage time loci, following their original definitions given in Catelan et al. (2009):

  • TAHB loci, corresponding, for a given chemical composition and MMS value, to the geometrical locus connecting HB stars with different ZAHB masses in the luminosity (absolute magnitude) versus effective temperature (color) plane when the He at their cores is depleted;

  • MAHB loci, which are analogous to the TAHB loci, except that they are computed at the halfway point (in terms of age) of the entire HB evolutionary phase.

It is important to note that the MAHB loci correspond to different absolute ages for each HB mass at any given chemical composition, since HB stars with lower masses evolve more slowly than their more massive counterparts (Sweigart & Gross 1976; Castellani et al. 1994; Zoccali et al. 2000). Examples of these loci are presented in Fig. 3 within the theoretical (log L,log Teff) plane, showing a diverse set of chemical compositions. The dependence of the ZAHB, MAHB, and TAHB loci on different MMS values is clearly observed. Here, it is possible to observe that the luminosity difference between the ZAHB and MAHB is larger at high Teff. The luminosity difference between the ZAHB and MAHB is most pronounced at high Teff, while at intermediate Teff this difference becomes almost negligible. The specific Teff at which this transition occurs depends on the chemical composition.

thumbnail Fig. 3.

PGPUC ZAHB (continuous lines), MAHB (dotted lines), and TAHB loci (dashed lines) in the theoretical plane for eight chemical compositions listed in each panel. Red, cyan, and yellow lines correspond to progenitor masses of 0.700, 0.800, and 0.900 M, respectively. In gray are shown ZAHB and TAHB loci from BaSTI for comparison, with the progenitor mass of those models indicated in each panel.

At the low Teff end (corresponding to high MHB), the separation between these loci re-emerges, becoming more evident at higher Y. These findings emphasize the importance of carefully selecting the appropriate metallicity and helium abundance when comparing these evolutionary lines against observations. Interpolation of the HB tracks within a finely sampled grid is therefore crucial to avoid misrepresenting the theoretical results.

Figure 3 also includes a comparison with “a Bag of Stellar Tracks and Isochrones” (BaSTI) models with [α/Fe] = 0.4 (Hidalgo et al. 2018; Pietrinferni et al. 2021), demonstrating that their ZAHB and TAHB loci (for the available MMS) share similar properties to the ones from the PGPUC models. The primary differences occur at high temperatures, where the PGPUC models extend to higher Teff and lower MHB. Additionally, at the lowest metallicities, the PGPUC models exhibit small differences in luminosity (Δlog[L/L]≈0.01) compared to the BaSTI models for canonical He abundances, increasing to Δlog(L/L)≈0.03 for He-rich models. Those differences decrease when the metallicity increases. Regarding the evolutionary timescales from the ZAHB to the TAHB, Fig. 4 presents the corresponding lifetimes for the same models shown in Fig. 3. When compared to the BaSTI models, the differences are typically ≲10 Myr across the full mass range. These discrepancies may arise from differences in the adopted input physics and/or the assumed solar heavy-element mixture.

thumbnail Fig. 4.

TAHB age values for HB stars as a function of the HB mass. Red, cyan, and yellow lines correspond to progenitor masses of 0.700, 0.800, and 0.900 M, respectively, while in gray are shown BaSTI TAHB loci for comparison, with the progenitor mass of the BaSTI models indicated in each panel.

The effects of the Z value on the ZAHB locus have been well documented in the literature (Faulkner & Iben 1966; Iben & Faulkner 1968; Iben & Rood 1970; Sweigart 1987; Caputo & Degl’Innocenti 1995; Valcarce et al. 2012, among others); however, this is not the case for MAHB and TAHB loci. Figures 5 and 6 show that the TAHB Teff extension is rather stable as a function of chemical composition, with the main noteworthy trend being an overall shift to higher temperatures with increasing Z. The ZAHB and MAHB loci, on the other hand, are much less extended in Teff. This is due, on the one hand, to the fact that ZAHB and MAHB loci never reach temperatures in excess of log Teff≈4.55, which, however, are easily surpassed at the TAHB level. On the other, at the very lowest metallicities, ZAHB models never reach temperatures low enough as to reach the red HB or even the instability strip region (whose temperature range is about 6000 K≲Teff≲7250 K; Catelan & Smith 2015). This is consistent with the trend (also observed in, for instance, Sweigart 1987; VandenBerg 2024) of increasing minimum ZAHB temperature with decreasing metallicity. These trends imply that, at sufficiently low metallicities, the only red HB or RR Lyrae stars that can exist are those that are close to exhausting He in their cores. Extremely metal-poor (Z≲0.0001) red HB stars and RR Lyrae should thus be very rare. This conclusion, originally investigated from a theoretical perspective by Cassisi et al. (1996, 1997), is consistent with the recent analysis of three extremely metal-poor RR Lyrae stars by D’Orazi et al. (2025).

thumbnail Fig. 5.

ZAHB (continuous lines), MAHB (dotted lines), and TAHB loci (dashed lines) in the theoretical plane for five metallicities, increasing from the top to the bottom panels, for MMS = 0.900 M and [α/Fe] = 0.3. Red, green, and blue lines correspond to helium abundances of Y = 0.245, 0.295, and 0.345, respectively.

thumbnail Fig. 6.

Comparison of ZAHB (continuous lines), MAHB (dotted lines), and TAHB loci (dashed lines) in the theoretical plane for three metallicities (Z = 0.00001, 0.00160 and 0.01570 in red, blue, and yellow, respectively) and three helium abundances (Y = 0.245, 0.295, and 0.345 in the top, middle, and bottom panels, respectively). In all displayed cases, MMS = 0.900 M and [α/Fe] = 0.3 have been assumed. All models have been shifted in log(L/L) and log Teff such that the highest Teff of each ZAHB locus aligns at the origin.

Another interesting effect seen in Fig. 5 that involves ZAHB and MAHB loci is that, for some chemical compositions, these loci share the same log(L/L) value at a given log(Teff). In some cases, the MAHB locus even becomes fainter than the ZAHB locus. This is due to the fact that, at a given Teff, depending on the chemical composition, the MAHB level of an HB track may be less luminous than the ZAHB level of another HB track. Indeed, it is worth noting that, for some chemical compositions, the blue loops developed by some evolutionary tracks may reach luminosities that are lower than the ZAHB. This effect can also be seen in the HB tracks presented by Sweigart (1987).

For low Y, the crossing point between the ZAHB and MAHB moves to lower Teff as Z increases, while when Y increases, this point moves to higher Teff as Z increases. For Teff values lower than the crossing point, ZAHB and MAHB loci have different behaviors depending on Y and Z. At low Y, ZAHB and MAHB loci share similar log(Teff) and log(L/L) values at high Z, but at very low metallicities, the MAHB locus can be fainter than the ZAHB locus. When Y increases, there is a notable increase in the difference in log(L/L) between ZAHB and MAHB, causing HB stars to be spread over a larger space in the (log L,log Teff) plane. For Teff values higher than the crossing point, there is a gradual increase in the difference in log(L/L) between ZAHB and MAHB that is less affected by Z and Y than happens at Teff values lower than the crossing point.

As to the impact of differences in MMS, the most significant differences in ZAHB, MAHB, and TAHB loci, as is observed in Fig. 3, are seen primarily at higher temperatures, where a higher MMS value results in a lower luminosity at a given Teff. This phenomenon is particularly pronounced at low Z and high Y. The effect is produced by the larger spread in McHe values when varying MMS at the metal-poor and He-rich end (see Table B.1).

Even though the ZAHB, MAHB, and TAHB loci show similar shapes in the (log L,log Teff) plane when changing MMS for some chemical compositions, the MHB value at a given Teff does change when MMS changes. In this sense, one must be very careful when masses of HB stars are obtained from these loci without considering the most appropriate MMS value for a given age. Differences can reach as much as 6000 K at low MHB values (i.e., at the hot end of the HB) for high Z and low Y; more generally, the range in Teff values increases for lower Z and higher Y. Although these considerations must be kept in mind when comparing observational data to theoretical models, present-day observational uncertainties in hot HB stars’ Teff values (e.g., Latour et al. 2023) are of the same order of magnitude as the differences in Teff predicted by assuming different MMS values.

5. Summary and conclusions

This work introduces an extensive set of HB tracks computed with the PGPUC code. Spanning over 19 000 evolutionary tracks, this dataset accounts for a broad range of chemical compositions and progenitor masses, providing a comprehensive resource for the study of HB stars. Integrated into the PGPUC Online database, these HB tracks enable fast interpolation and an efficient comparison with observational data.

The PGPUC Online database now offers precise interpolation capabilities from the ZAHB to the TAHB, including HB tracks for different progenitor masses. This capability is critical for interpreting high-accuracy present-day observational data and serves as a very useful tool for examining the evolutionary phases of HB stars.

Our results highlight the dependency of HB stellar properties on initial conditions, such as Z, Y, and MMS. In particular:

  • The Mmin value decreases with increasing Z and Y, with higher MMS leading to lower Mmin.

  • At high Z, the Mmin value is nearly constant for any MMS or Y values. However, at low Z, the difference in the Mmin value when varying MMS becomes more pronounced as Y increases.

The morphology of HB loci in the theoretical plane is strongly influenced by initial parameters. Notably, higher MMS values result in lower luminosities at a given effective temperature, emphasizing the importance of the progenitor's mass (hence age) in modeling the evolution of HB stars.

In conclusion, the expanded PGPUC Online database provides a robust framework for investigating HB stellar populations. By incorporating a wide array of initial parameters and offering publicly accessible tools for interpolation, this unique resource can be leveraged to address outstanding questions about HB morphology, the formation of blue and extreme HB stars, and how the latter are affected by changes in chemical composition and age.

Acknowledgments

We thank the referee, S. Cassisi, for a helpful report. We also thank Yang Chen for his valuable assistance with the implementation of the PARSEC bolometric corrections into the PGPUC Online database. Support for this project is provided by ANID's FONDECYT Regular grants #1171273 and #1231637; ANID's Millennium Science Initiative through grants ICN12_009 and AIM23-0001, awarded to the Millennium Institute of Astrophysics (MAS); and ANID's Basal project FB210003. The Geryon cluster at the Centro de Astro-Ingenieria UC was extensively used for the calculations performed in this paper. BASAL CATA PFB-06, the Anillo ACT-86, FONDEQUIP AIC-57, and QUIMAL 130008 provided funding for several improvements to the Geryon cluster.


1

Unlike what has been stated in some recent studies, PGPUC does not use electron screening from Salpeter (1954). Further details regarding this issue can be found in Appendix A.

5

Geryon 2 is located at the Instituto de Astrofísica and managed in collaboration with the Centro de Astro-Ingeniería at Pontificia Universidad Católica de Chile.

References

  1. Angulo, C., Arnould, M., Rayet, M., et al. 1999, Nucl. Phys. A, 656, 3 [Google Scholar]
  2. Bono, G., Caputo, F., Cassisi, S., Castellani, V., & Marconi, M. 1997a, ApJ, 479, 279 [Google Scholar]
  3. Bono, G., Caputo, F., Cassisi, S., Castellani, V., & Marconi, M. 1997b, ApJ, 489, 822 [NASA ADS] [CrossRef] [Google Scholar]
  4. Caputo, F., & Degl’Innocenti, S. 1995, A&A, 298, 833 [Google Scholar]
  5. Caputo, A., & Raffelt, G. 2024, in 1st General Meeting and 1st Training School of the COST Action COSMIC WISPers, 1, 41 [NASA ADS] [Google Scholar]
  6. Carenza, P., Giannotti, M., Isern, J., Mirizzi, A., & Straniero, O. 2025, Phys. Rep., 1117, 1 [Google Scholar]
  7. Casagrande, L., & VandenBerg, D. A. 2018, MNRAS, 475, 5023 [Google Scholar]
  8. Cassisi, S., Castellani, V., & Tornambe, A. 1996, ApJ, 459, 298 [NASA ADS] [CrossRef] [Google Scholar]
  9. Cassisi, S., Castellani, M., & Castellani, V. 1997, A&A, 317, 108 [NASA ADS] [Google Scholar]
  10. Cassisi, S., Salaris, M., & Irwin, A. W. 2003, ApJ, 588, 862 [Google Scholar]
  11. Cassisi, S., Potekhin, A. Y., Pietrinferni, A., Catelan, M., & Salaris, M. 2007, ApJ, 661, 1094 [NASA ADS] [CrossRef] [Google Scholar]
  12. Castellani, M., Castellani, V., Pulone, L., & Tornambe, A. 1994, A&A, 282, 771 [Google Scholar]
  13. Catelan, M. 2009, Ap&SS, 320, 261 [Google Scholar]
  14. Catelan, M., & Smith, H. A. 2015, Pulsating Stars (Weinheim: Wiley-VCH) [Google Scholar]
  15. Catelan, M., Grundahl, F., Sweigart, A. V., Valcarce, A. A. R., & Cortés, C. 2009, ApJ, 695, L97 [Google Scholar]
  16. Chen, Y., Girardi, L., Fu, X., et al. 2019, A&A, 632, A105 [EDP Sciences] [Google Scholar]
  17. Demarque, P., & Mengel, J. G. 1972, ApJ, 171, 583 [Google Scholar]
  18. DeWitt, H. E., Graboske, H. C., & Cooper, M. S. 1973, ApJ, 181, 439 [Google Scholar]
  19. D’Orazi, V., Braga, V., Bono, G., et al. 2025, A&A, 694, A158 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Dorman, B. 1992, ApJS, 80, 701 [NASA ADS] [CrossRef] [Google Scholar]
  21. Dotter, A., Chaboyer, B., Jevremović, D., et al. 2007, AJ, 134, 376 [NASA ADS] [CrossRef] [Google Scholar]
  22. Dotter, A., Chaboyer, B., Jevremović, D., et al. 2008, ApJS, 178, 89 [Google Scholar]
  23. Eggleton, P. P. 1968, MNRAS, 140, 387 [Google Scholar]
  24. Faulkner, J. 1966, ApJ, 144, 978 [NASA ADS] [CrossRef] [Google Scholar]
  25. Faulkner, J., & Iben, I. Jr. 1966, ApJ, 144, 995 [Google Scholar]
  26. Ferguson, J. W., Alexander, D. R., Allard, F., et al. 2005, ApJ, 623, 585 [Google Scholar]
  27. Graboske, H. C., Dewitt, H. E., Grossman, A. S., & Cooper, M. S. 1973, ApJ, 181, 457 [Google Scholar]
  28. Grevesse, N., & Sauval, A. J. 1998, Space Sci. Rev., 85, 161 [Google Scholar]
  29. Gross, P. G. 1973, MNRAS, 164, 65 [Google Scholar]
  30. Haft, M., Raffelt, G., & Weiss, A. 1994, ApJ, 425, 222 [NASA ADS] [CrossRef] [Google Scholar]
  31. Härm, R., & Schwarzschild, M. 1966, ApJ, 145, 496 [Google Scholar]
  32. Hidalgo, S. L., Pietrinferni, A., Cassisi, S., et al. 2018, ApJ, 856, 125 [Google Scholar]
  33. Iben, I. Jr. 1964, ApJ, 140, 1631 [NASA ADS] [CrossRef] [Google Scholar]
  34. Iben, I. Jr., & Faulkner, J. 1968, ApJ, 153, 101 [NASA ADS] [CrossRef] [Google Scholar]
  35. Iben, I. Jr., & Rood, R. T. 1970, ApJ, 161, 587 [Google Scholar]
  36. Iglesias, C. A., & Rogers, F. J. 1996, ApJ, 464, 943 [NASA ADS] [CrossRef] [Google Scholar]
  37. Irwin, A. W. 2007, http://freeeos.sourceforge.net [Google Scholar]
  38. Krishna Swamy, K. S. 1966, ApJ, 145, 174 [Google Scholar]
  39. Kunz, R., Fey, M., Jaeger, M., et al. 2002, ApJ, 567, 643 [CrossRef] [Google Scholar]
  40. Latour, M., Hämmerich, S., Dorsch, M., et al. 2023, A&A, 677, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Pietrinferni, A., Cassisi, S., Salaris, M., & Castelli, F. 2004, ApJ, 612, 168 [Google Scholar]
  42. Pietrinferni, A., Cassisi, S., Salaris, M., & Hidalgo, S. 2013, A&A, 558, A46 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Pietrinferni, A., Hidalgo, S., Cassisi, S., et al. 2021, ApJ, 908, 102 [NASA ADS] [CrossRef] [Google Scholar]
  44. Renzini, A. 1977, in Saas-Fee Advanced Course 7: Advanced Stages in Stellar Evolution, eds. P. Bouvier & A. Maeder, 151 [Google Scholar]
  45. Rood, R. T. 1973, ApJ, 184, 815 [NASA ADS] [CrossRef] [Google Scholar]
  46. Salaris, M., & Cassisi, S. 2005, Evolution of Stars and Stellar Populations (Wiley-VCH), 400 [Google Scholar]
  47. Salpeter, E. E. 1954, Aust. J. Phys., 7, 373 [Google Scholar]
  48. Schröder, K. P., & Cuntz, M. 2005, ApJ, 630, L73 [CrossRef] [Google Scholar]
  49. Schwarzschild, M., & Härm, R. 1965, ApJ, 142, 855 [NASA ADS] [CrossRef] [Google Scholar]
  50. Serenelli, A., Weiss, A., Cassisi, S., Salaris, M., & Pietrinferni, A. 2017, A&A, 606, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Straniero, O., Pallanca, C., Dalessandro, E., et al. 2020, A&A, 644, A166 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Sweigart, A. V. 1971, ApJ, 168, 79 [Google Scholar]
  53. Sweigart, A. V. 1973, A&A, 24, 459 [NASA ADS] [Google Scholar]
  54. Sweigart, A. V. 1987, ApJS, 65, 95 [NASA ADS] [CrossRef] [Google Scholar]
  55. Sweigart, A. V. 1994, ApJ, 426, 612 [Google Scholar]
  56. Sweigart, A. V. 1997, ApJ, 474, L23 [NASA ADS] [CrossRef] [Google Scholar]
  57. Sweigart, A. V., & Catelan, M. 1998, ApJ, 501, L63 [Google Scholar]
  58. Sweigart, A. V., & Demarque, P. 1972, A&A, 20, 445 [Google Scholar]
  59. Sweigart, A. V., & Gross, P. G. 1974, ApJ, 190, 101 [Google Scholar]
  60. Sweigart, A. V., & Gross, P. G. 1976, ApJS, 32, 367 [NASA ADS] [CrossRef] [Google Scholar]
  61. Sweigart, A. V., & Gross, P. G. 1978, ApJS, 36, 405 [NASA ADS] [CrossRef] [Google Scholar]
  62. Valcarce, A. A. R. 2011, Ph.D. Thesis, Pontificia Universidad Católica de Chile, Chile [Google Scholar]
  63. Valcarce, A. A. R., Catelan, M., & Sweigart, A. V. 2012, A&A, 547, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Valcarce, A. A. R., Catelan, M., Alonso-García, J., Cortés, C., & De Medeiros, J. R. 2014, ApJ, 782, 85 [NASA ADS] [CrossRef] [Google Scholar]
  65. Valcarce, A. A. R., Catelan, M., Alonso-García, J., Contreras Ramos, R., & Alves, S. 2016, A&A, 589, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. VandenBerg, D. A. 1992, ApJ, 391, 685 [Google Scholar]
  67. VandenBerg, D. A. 2024, MNRAS, 527, 6888 [Google Scholar]
  68. VandenBerg, D. A., Swenson, F. J., Rogers, F. J., Iglesias, C. A., & Alexander, D. R. 2000, ApJ, 532, 430 [Google Scholar]
  69. VandenBerg, D. A., Bergbusch, P. A., & Dowler, P. D. 2006, ApJS, 162, 375 [NASA ADS] [CrossRef] [Google Scholar]
  70. Viaux, N., Catelan, M., Stetson, P. B., et al. 2013a, Phys. Rev. Lett., 111, 231301 [Google Scholar]
  71. Viaux, N., Catelan, M., Stetson, P. B., et al. 2013b, A&A, 558, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Zoccali, M., Cassisi, S., Bono, G., et al. 2000, ApJ, 538, 289 [Google Scholar]

Appendix A: Electron screening and the RGB tip luminosity

Valcarce et al. (2012) carried out a comparison between the results obtained with PGPUC and five other SECs. PGPUC's predecessor, the Princeton-Goddard (PG) SEC (see their Sect. 2 for extensive references), was also added to that analysis. One noteworthy result of these comparisons, well illustrated in their Fig. 3, is the realization that, for similar input parameters, there is a fairly wide range in predicted RGB tip luminosities. In particular, PG and PGPUC predict the faintest RGB tips. A comparison between PG and Victoria results had previously been carried out by VandenBerg et al. (2000), who found that PG predicted similar but slightly fainter RGB tips and ZAHB loci, in spite of very similar McHe values.

The reason why this happens is unclear, and explaining it is well beyond the scope of the present paper. However, it has been suggested in the literature (Serenelli et al. 2017; Straniero et al. 2020; Caputo & Raffelt 2024; Carenza et al. 2025) that this can be traced in part to the fact that PGPUC presumably uses Salpeter's formulation of weak screening of nuclear reactions (Salpeter 1954), leading to inaccurate predictions of the position of the RGB tip luminosity, as compared to other codes that use more up-to-date recipes for electron screening.

This explanation is not correct. As explained in Sweigart & Gross (1978, Sect. II.b), the DeWitt et al. (1973) and Graboske et al. (1973) prescriptions were adopted early on in the development of the PG code to account for electron screening. PGPUC is an updated version of the PG SEC (Valcarce et al. 2012). While the input physics in PGPUC has been extensively updated since Sweigart & Gross (1978), it still relies, as do other state-of-the-art SECs, on DeWitt et al. (1973) and Graboske et al. (1973) for the treatment of electron screening.

The confusion appears to stem from a misinterpretation of Viaux et al. (2013a, b), where PGPUC models were used to carry out a detailed study of the RGB tip position in the GC M5 (NGC 5904). As the only reference that Viaux et al. cite to introduce the subject of screening is Salpeter (1954), this may have led to the incorrect impression that Salpeter's prescriptions were used in the actual calculations, when in fact they were not. The fact that electron screening is not specifically addressed in either Valcarce (2011) or Valcarce et al. (2012) may have contributed to the confusion.

In conclusion, whatever the ultimate explanation for the differences in RGB tip position between PG/PGPUC and other codes, they are most certainly not due to adoption of the Salpeter (1954) prescription for electron screening of nuclear reactions in either PG or PGPUC. A deeper analysis will be required to fully understand the reason why different SECs still predict significantly different RGB tip luminosities.

Appendix B: Supplementary table

Table B.1 lists key physical properties of stellar models at the RGB tip and near the RR Lyrae instability strip. For each combination of chemical composition (Y, Z) and progenitor mass MMS, we report the helium core mass at the RGB tip (McHe), the amount of additional helium in the envelope due to the first dredge-up (ΔYRGB), the stellar age at the RGB tip (from the zero-age MS), and the luminosity ( log L 3.83 RRL $ {\log L^{{\mathrm {RRL}}}_{3.83}} $) and stellar mass ( M 3.83 RRL $ {M^{{\mathrm {RRL}}}_{3.83}} $) of the ZAHB model with log Teff = 3.83 (which is a common reference temperature near the center of the RR Lyrae instability strip). For each Z value, solar-scaled and α-enhanced compositions are considered ([α/Fe] = 0.0 and 0.3, respectively). At very low metallicities, ZAHB models may not reach this temperature, in which case the corresponding log L 3.83 RRL $ {\log L^{{\mathrm {RRL}}}_{3.83}} $ and M 3.83 RRL $ {M^{{\mathrm {RRL}}}_{3.83}} $ values are not provided. [Fe/H] values are calculated assuming Y = 0.245.

Table B.1.

Stellar model parameters for different Z, Y, and MMS values.

Table B.1.

Continued.

Table B.1.

Continued.

Table B.1.

Continued.

Table B.1.

Continued.

Appendix C: Supplementary HB track figures

To complement the example presented in Figs. 1 and 2, the figures in this appendix display three additional sets of computed HB tracks for different chemical compositions and the three MMS values. Each set includes, similar to Fig. 2, a comparison between HB tracks with MMS = 0.800 and 0.900 M against 0.700 M for the corresponding chemical composition. Specifically, Figs. C.1 and C.2 correspond to the Z = 0.00001, Y = 0.345, and [α/Fe] = 0.0 case; Figs. C.3 and C.4, to the Z = 0.01570, Y = 0.245, and [α/Fe] = 0.0 case; and Figs. C.5 and C.6, to the Z = 0.01570, Y = 0.345, and [α/Fe] = 0.0 combination.

thumbnail Fig. C.1.

Same as Fig. 1 but for Y = 0.345.

thumbnail Fig. C.2.

Same as Fig. 2 but for Y = 0.345.

thumbnail Fig. C.3.

Same as Fig. 1 but for Z = 0.01570 and Y = 0.245.

thumbnail Fig. C.4.

Same as Fig. 2 but for Z = 0.01570 and Y = 0.245.

thumbnail Fig. C.5.

Same as Fig. 1 but for Z = 0.01570 and Y = 0.345.

thumbnail Fig. C.6.

Same as Fig. 2 but for Z = 0.01570 and Y = 0.345.

All Tables

Table B.1.

Stellar model parameters for different Z, Y, and MMS values.

All Figures

thumbnail Fig. 1.

HB evolutionary tracks in the theoretical plane – luminosity, log(L/L), vs. effective temperature, log Teff – for Z = 0.00001, Y = 0.245, and [α/Fe] = 0.00. The top, middle, and bottom left panels show the set of evolutionary tracks corresponding to progenitor masses of MMS = 0.700 M, 0.800 M, and 0.900 M, respectively. The right panels are a zoom-in around the cooler part of the HB. Each panel also shows the minimum mass, Mmin, reached for each set (green lines), corresponding to the hottest track. Blue, red, and gray lines correspond to evolutionary tracks in steps of ΔM = 0.100 M, ΔM = 0.010 M (for masses lower than 0.700 M), and ΔM = 0.005 M (for masses lower than 0.550 M), respectively. Cyan lines correspond to evolutionary tracks computed with masses greater than 0.700 M and lower than 0.800 M, in steps of ΔM = 0.010 M. Yellow lines correspond to evolutionary tracks for masses greater than 0.800 M and lower than 0.900 M, in steps of ΔM = 0.010 M.

In the text
thumbnail Fig. 2.

Comparison between HB evolutionary tracks for Z = 0.000010, Y = 0.245, and [α/Fe] = 0.00 with MMS = 0.700 M and: (i) MMS = 0.800 M (left panel), and (ii) MMS = 0.900 M (right panel). In each panel, green and yellow lines correspond to the Mmin value reached for MMS = 0.700 M and the alternative MMS value shown in the plot, respectively. Red and black lines correspond to masses in steps of ΔM = 0.010 M for MMS = 0.700 M and the alternative MMS values, respectively. In like vein, red and gray lines correspond to evolutionary tracks for MMS = 0.700 M and the alternative MMS values, respectively, with masses of MHB = 0.650 M, 0.580 M, 0.560 M, 0.540 M, 0.520 M, and in steps of ΔM = 0.010 M for sets with evolutionary tracks that reach masses lower than 0.500 M.

In the text
thumbnail Fig. 3.

PGPUC ZAHB (continuous lines), MAHB (dotted lines), and TAHB loci (dashed lines) in the theoretical plane for eight chemical compositions listed in each panel. Red, cyan, and yellow lines correspond to progenitor masses of 0.700, 0.800, and 0.900 M, respectively. In gray are shown ZAHB and TAHB loci from BaSTI for comparison, with the progenitor mass of those models indicated in each panel.

In the text
thumbnail Fig. 4.

TAHB age values for HB stars as a function of the HB mass. Red, cyan, and yellow lines correspond to progenitor masses of 0.700, 0.800, and 0.900 M, respectively, while in gray are shown BaSTI TAHB loci for comparison, with the progenitor mass of the BaSTI models indicated in each panel.

In the text
thumbnail Fig. 5.

ZAHB (continuous lines), MAHB (dotted lines), and TAHB loci (dashed lines) in the theoretical plane for five metallicities, increasing from the top to the bottom panels, for MMS = 0.900 M and [α/Fe] = 0.3. Red, green, and blue lines correspond to helium abundances of Y = 0.245, 0.295, and 0.345, respectively.

In the text
thumbnail Fig. 6.

Comparison of ZAHB (continuous lines), MAHB (dotted lines), and TAHB loci (dashed lines) in the theoretical plane for three metallicities (Z = 0.00001, 0.00160 and 0.01570 in red, blue, and yellow, respectively) and three helium abundances (Y = 0.245, 0.295, and 0.345 in the top, middle, and bottom panels, respectively). In all displayed cases, MMS = 0.900 M and [α/Fe] = 0.3 have been assumed. All models have been shifted in log(L/L) and log Teff such that the highest Teff of each ZAHB locus aligns at the origin.

In the text
thumbnail Fig. C.1.

Same as Fig. 1 but for Y = 0.345.

In the text
thumbnail Fig. C.2.

Same as Fig. 2 but for Y = 0.345.

In the text
thumbnail Fig. C.3.

Same as Fig. 1 but for Z = 0.01570 and Y = 0.245.

In the text
thumbnail Fig. C.4.

Same as Fig. 2 but for Z = 0.01570 and Y = 0.245.

In the text
thumbnail Fig. C.5.

Same as Fig. 1 but for Z = 0.01570 and Y = 0.345.

In the text
thumbnail Fig. C.6.

Same as Fig. 2 but for Z = 0.01570 and Y = 0.345.

In the text

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