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F Dell’Agli, S Tosi, D Kamath, L Stanghellini, S Bianchi, P Ventura, E Marini, D A García-Hernández, Dust from evolved stars: a pilot analysis of the AGB to PN transition, Monthly Notices of the Royal Astronomical Society, Volume 526, Issue 4, December 2023, Pages 5386–5392, https://doi.org/10.1093/mnras/stad3080
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ABSTRACT
We present a novel approach to address dust production by low- and intermediate-mass stars. We study the asymptotic giant branch (AGB) phase, during which the formation of dust takes place, from the perspective of post-AGB and planetary nebula (PN) evolutionary stage. Using results from stellar evolution and dust formation modelling, we interpret the spectral energy distribution of carbon-dust-rich sources currently evolving through different evolutionary phases, believed to descend from progenitors of similar mass and chemical composition. Comparing the results of different stages along the AGB to PNe transition, we can provide distinct insights on the amount of dust and gas released during the very late AGB phases. While the post-AGB traces the history of dust production back to the tip of the AGB phase, investigating the PNe is important to reconstruct the mass-loss process experienced after the last thermal pulse. The dust surrounding the post-AGB was formed soon after the tip of the AGB. The PNe dust-to-gas ratio is ∼10−3, 2.5 times smaller than what expected for the same initial mass star during the last AGB interpulse, possibly suggesting that dust might be destroyed during the PN phase. Measuring the amount of dust present in the nebula can constrain the capacity of the dust to survive the central star heating.
1 INTRODUCTION
Asymptotic giant branch (AGB) stars are efficient pollutants of the interstellar medium, because their cool and dense winds prove a favourable environment for dust production. For example, these stars are known to significantly contribute to the chemical enrichment of galaxies as well as up to 40 per cent of interstellar medium dust (e.g. Schneider et al. 2014; Goldman et al. 2022).
The modelling of dust formation by AGB stars has made significant advance due to the development of an interfaces between stellar evolution modelling results and the chemodynamical description of the winds (Ventura et al. 2012; Nanni et al. 2013), which allow for the calculation of the dust production rate (DPR) during the entire AGB evolution. This approach has been successfully applied to characterize the evolved stellar populations of the Magellanic Clouds (MCs; Dell’Agli et al. 2014, 2015; Nanni et al. 2019; Marini et al. 2021) and Local Group galaxies (Dell’Agli et al. 2016, 2019).
Despite recent improvements, current dust formation models are still affected by several uncertainties regarding the description of the AGB phase. In particular, the treatment of the convective borders and the mass-loss mechanism remain significant sources of uncertainty.
The study of more evolved counterparts of AGB stars, such as post-AGB stars and PNe, makes a significant contribution to the determination of the dust budget from AGB stars. The majority of the dust released by AGB stars is produced during the final phases of their lifetime. As a result, this dust, or a significant portion of it, will remain in the vicinity of the central object during subsequent evolutionary phases. This dust is responsible for the infrared (IR) excesses observed in the spectral energy distribution (SED) of post-AGB stars (Kamath, Wood & Van Winckel 2015; Kamath et al. 2022) and PNe (e.g. Stanghellini et al. 2012).
During the last decade, estimates of the mass and metallicity of the PN progenitors in the MCs and the Galaxy were estimated through the comparison of the chemical composition of the nebula with the prediction of the AGB stellar evolution models (Ventura et al. 2015, 2016, 2017; Stanghellini et al. 2022). Recently, theoretical developments in modelling the transition from the AGB phase to subsequent phases (Miller Bertolami 2016; Kamath et al. 2023) have also enabled the characterization of post-AGB sources (Kamath et al. 2023) based on physical parameters such as luminosity, effective temperature, and surface chemical composition.
In this work, we make one step further providing a comprehensive interpretation of the observational information available from the final AGB stages to the PNe phase. We aim to demonstrate that the simultaneous study of stars in different evolutionary phases laying along the same evolutionary sequence (in the luminosity–Teff plane) provides valuable insight into the amount of dust produced during the AGB phase, the cessation of dust production, and the transport of dust away from the star. This approach provides a global reading of the transition from the AGB, to the post-AGB, and PN phases, facilitating a deeper understanding of the production and evolution of dust during the late stages of a star’s life.
2 DIFFERENT STARS WITH THE SAME PROGENITOR MASS
The study of post-AGB stars and PNe offers a distinct advantage due to the reliability of luminosity–Teff location of the evolutionary tracks on the Hertzsprung-Russell (HR) diagram within these phases, unlike earlier evolutionary phases (i.e. AGB and prior to the AGB) that are subject to uncertainties related to mass-loss and convection. The luminosity of the stars remains approximately constant from the late AGB phases, following the last thermal pulse (TP), during the contraction phase through the post-AGB phase, until the effective temperature reaches approximately 5 × 104 K. After that point, the luminosity decreases, as the white dwarf cooling sequence is approached.
We will capitalize on this for this study, therefore ensuring the simultaneous investigation of three sources from the Large Magellanic Cloud (LMC), specifically from the AGB, post-AGB, and PNe evolutionary phases. As described in the following, from the data available in the literature it was possible to determine the effective temperature and luminosity for a wide number of evolved stars. These allowed us to carefully select three individual objects that, within the observational errors, are along the same evolutionary track; therefore, the chosen sources represent stars with the same initial mass. Our objective is to examine whether the DPR, a crucial parameter for assessing the dust production efficiency of AGB stars, is not only consistent with observations of AGB stars but also capable of explaining the observational data from post-AGB and PNe sources. By doing so, we aim to establish the compatibility of the AGB DPR across these different last stellar evolutionary stages.
To constraint the AGB stars, we consider the carbon star SSID 145 from the spectroscopic legacy survey ‘Surveying the Agents of Galaxy Evolution’ (SAGE-Spec) of the LMC (Kemper et al. 2010). This sample of stars was investigated by Marini et al. (2021), who derived their luminosities and provided a characterizations in terms of mass and formation epoch of the progenitors. The Spitzer spectrum (grey) and photometry (blue) of SSID 145 is shown in the left panel of Fig. 1.

Left: Spitzer/IRS spectrum of SSID 145 (grey line), the results from Spitzer/IRAC photometry (blue dots), and the best fit (black line) obtained by Marini et al. (2021). Middle: photometric data of the source J050632.10−714229.8, taken from Kamath, Wood & Van Winckel (2015), are indicated with blue dots, overlapped to the best fit obtained by Tosi et al. 2022 (black line). Right: the SED of SMP LMC 102, composed by the photometric data (blue dots) from Reid (2014), Cutri et al. (2012), Lasker et al. (2008), the HST/STIS UV spectrum taken from Stanghellini, Shaw & Gilmore (2005) and the Spitzer/IRS spectrum from Stanghellini et al. (2007) (grey lines); the black line and red dots indicate the synthetic spectrum and photometry obtained in this work.
Regarding post-AGB stars, we focus on the source J050632.10−714229.8 within the sample identified by Kamath, Wood & Van Winckel (2015). These post-AGB stars were thoroughly investigated by Tosi et al. (2022; hereafter T22), who derived the luminosity of the individual sources and explored the AGB to post-AGB transition, as well as the dynamics of gas and dust. The SED of this source is reported in the central panel of Fig. 1.
For the PNe, we consider the spherical and elliptical sources in the sample presented by Stanghellini et al. (2007), that were further characterized by Ventura et al. (2015) on the basis of the chemical abundance measurements. In the present analysis, we consider all the photometric and spectroscopic data available to reconstruct the SED from the ultraviolet (UV) to the mid-IR. This allow us to derive the properties of the central object including the thermal and chemical stratification of the gas cloud, as well as the dust density, following the methodology described in the following section. This initial analysis led us to identify the source SMP LMC 102, which, when plotted on the HR diagram, lies on the same evolutionary track as the post-AGB and the AGB counterparts mentioned earlier (see Fig. 2). For this source, we considered the photometric data available from the literature (Lasker et al. 2008; Cutri et al. 2012; Reid 2014), the Hubble Space Telescope (HST)/Space Telescope Imaging Spectrograph (STIS; Stanghellini, Shaw & Gilmore 2005) and the Spitzer/Infrared Spectrograph (IRS; Stanghellini et al. 2007) spectra, as shown in the right panel of Fig. 1. The HST/STIS spectrum and the photometry have been corrected both for Galactic foreground and for the LMC extinction applying the same law and coefficients described in section 2.5 of Stanghellini, Shaw & Gilmore (2005).

Left: Evolutionary tracks on the HR diagram of the 1.0, 1.25, and 1.5 M⊙ model stars of metallicity Z = 4 × 10−3; the location of the AGB (orange full dot), post-AGB (green full square), and PN (magenta open star) sources are reported according to the results discussed in Section 4. Right: AGB variation of the dust mass released by the 1.25 M⊙ model star (black line, scale on the left) and of the surface carbon abundance (red, scale on the right expressed in 12 + log(C/H)) for the models considered in the left panel, as a function of the current mass of the star. Blue squares indicate the last two TPs, while the dots represent the 12 + log(C/H) abundances of the post-AGB star J050632.10−714229.8 (green full square; van Aarle et al. 2013) and the PN SMP LMC 102 (magenta open star; Stanghellini, Shaw & Gilmore 2005).
In the following section, we present the methodology used to determine the physical parameters characterizing each of the three sources, while the results are summarized in Section 4.
3 PHYSICAL AND NUMERICAL INPUT DESCRIPTION
To determine the progenitor mass compatible with the physical parameters of the three selected sources, we calculated evolutionary sequences from the pre-main sequence to the AGB and post-AGB phases, extending until the PN stage. For this, we used the aton stellar evolutionary code (Ventura et al. 1998), incorporating the numerical updates discussed in Kamath et al. (2023). These updates were specifically designed to accurately describe the transition to the post-AGB and PNe stages, ensuring reliability of our results. We also modelled dust formation in the stellar winds throughout the entire AGB phase and during the initial stages of the post-AGB evolution, following the schematization described in Ferrarotti & Gail (2006). We summarize the main features of the model adopted and how it is coupled to the aton code for stellar evolution in the Appendix, while all the relevant equations and details can be found in Ventura et al. (2012). This procedure allows for the calculation of a set of evolutionary tracks which describe the evolution of the central and the dust production process for different initial mass models and evolutionary stages.
Using the dusty code (Nenkova et al. 1999), we computed the synthetic SEDs able to best reproduce the observed photometric and spectroscopic data of the individual AGB and post-AGB stars selected for this study, as described in Marini et al. (2021) and Tosi et al. (2022). The set of parameters obtained characterizes each source during the specific evolutionary stage observed, independently of the modelling. We then compared the main parameters with our set of evolutionary tracks, which are discrete in mass and evolutionary time-steps. The luminosity and effective temperature constrain the progenitor mass and the evolutionary stage, while the optical depth (at λ = 10 µm) τ10, the dust composition, and dust temperature characterize the circumstellar dust. The Spitzer spectra available for the AGB sources allow for a comprehensive determination of the dust composition, including factors such as the fraction of SiC as opposed to amorphous carbon, graphite, and/or iron dust components (see table 2 in Marini et al. 2021). Conversely, the photometric data available for the post-AGB stars serve primarily to differentiate between carbonaceous dust and silicates. The optical depth is primarily influenced by the abundance of carbon/silicate dust within the circumstellar envelope, with minor species such as SiC, alumina, or iron dust playing a secondary role. Consequently, the comparison between the optical depth derived from SED fitting and the values predicted by the models provides indication on the amount of carbon/silicate dust that has formed.
To build the synthetic PN SED for the comparison with the observational data points, we used the spectral synthesis code cloudy (Ferland et al. 2017). The computation is performed assuming a blackbody as a central source and a spherically symmetric nebula. The following inputs are taken from the literature: the electron density, Ne = 1000 cm−3, as determined by Stanghellini, Shaw & Gilmore (2005), the effective temperature Teff = 131000 ± 12400 K, from Villaver, Stanghellini & Shaw (2003), and the inner radius of the photoionization zone, log(Rin) = 17.72 cm of the nebula.1 The hydrogen density is assumed to be constant throughout the nebula. We adopted the solar abundances by Lodders (2003) to be consistent with the ones used to compute the evolutionary tracks and we scaled it according to the overall metallicity estimated by Ventura et al. (2015). For the dust grains, we assume the presence of amorphous carbon with the refractive index as given by Rouleau & Martin (1991) and the size distribution based on the work of Mathis, Rumpl & Nordsieck (1977). The luminosity of the central star (CS), the thickness (δR) of the nebula, and the amount of dust (expressed as number of carbon grains per unit hydrogen) are our free parameters to be determined. We run cloudy repeatedly in order to obtain the best agreement with the observational data, i.e. the photometry and the UV and IR spectra, as shown in the right panel of Fig. 1. To have a consistent result, we compare the intensity of the UV lines and the electron temperature as computed by cloudy with the results obtained by Stanghellini, Shaw & Gilmore (2005). With this procedure, we can constrain the luminosity of the CS and estimate the mass of gas and dust-to-gas ratio present within the nebula. To estimate the uncertainties, we vary each parameter, keeping the others fixed, within a range of values able to produce synthetic photometry (red points in Fig. 1) that deviates less than 5 per cent from the observational error bars of the photometric data.
4 SNAPSHOTS ALONG THE TRANSITION
In this section, we present for each of the three sources the results from the comparison between the observational data and the synthetic SEDs, from which the main physical and chemical parameters were obtained. These parameters are summarized in Table 1, while in Fig. 1 we present the observational data set for the three sources considered, along with the results from the synthetic SED. We then compare these parameters with the ones obtained from the aton code for stellar evolution and dust formation, whose some of the evolutionary tracks are shown in the left panel of Fig. 2.
Top: parameters determined from the comparison between the observational data and the synthetic SEDs. Bottom: stellar evolution model parameters.
SED . | . | . | . | . | . | . |
---|---|---|---|---|---|---|
. | Source . | Phase . | L (L⊙) . | τ10 . | δ . | Mgas (M⊙) . |
SSID 145 | AGB | 6000 ± 150 | 0.19 ± 0.02 | – | – | |
J050632.10−714229.8 | post-AGB | 6000 ± 400 | 0.003 ± 0.0004 | – | – | |
SMP LMC 102 | PN | |$3600^{+1000}_{-800}$| | – | (4.2 ± 1) × 10−4 | 0.37 ± 0.04a | |
Stellar evolution model | ||||||
Mi (M⊙) | Z | |$\dot{\rm \mathit{ M}}$| (M⊙ yr−1) | |$\tau _{10}^{\rm TAGB}$| | |$\delta _{\rm AGB}^{\rm last\, TP}$| | M|$_{\rm gas}^{\rm last\, TP}$| (M⊙) | |
1.25 | 0.004 | 1.7 × 10−5 | 0.34 | 10−3 | 0.4 |
SED . | . | . | . | . | . | . |
---|---|---|---|---|---|---|
. | Source . | Phase . | L (L⊙) . | τ10 . | δ . | Mgas (M⊙) . |
SSID 145 | AGB | 6000 ± 150 | 0.19 ± 0.02 | – | – | |
J050632.10−714229.8 | post-AGB | 6000 ± 400 | 0.003 ± 0.0004 | – | – | |
SMP LMC 102 | PN | |$3600^{+1000}_{-800}$| | – | (4.2 ± 1) × 10−4 | 0.37 ± 0.04a | |
Stellar evolution model | ||||||
Mi (M⊙) | Z | |$\dot{\rm \mathit{ M}}$| (M⊙ yr−1) | |$\tau _{10}^{\rm TAGB}$| | |$\delta _{\rm AGB}^{\rm last\, TP}$| | M|$_{\rm gas}^{\rm last\, TP}$| (M⊙) | |
1.25 | 0.004 | 1.7 × 10−5 | 0.34 | 10−3 | 0.4 |
δ is the dust-to-gas ratio;
is the total gas mass of the nebula.
Top: parameters determined from the comparison between the observational data and the synthetic SEDs. Bottom: stellar evolution model parameters.
SED . | . | . | . | . | . | . |
---|---|---|---|---|---|---|
. | Source . | Phase . | L (L⊙) . | τ10 . | δ . | Mgas (M⊙) . |
SSID 145 | AGB | 6000 ± 150 | 0.19 ± 0.02 | – | – | |
J050632.10−714229.8 | post-AGB | 6000 ± 400 | 0.003 ± 0.0004 | – | – | |
SMP LMC 102 | PN | |$3600^{+1000}_{-800}$| | – | (4.2 ± 1) × 10−4 | 0.37 ± 0.04a | |
Stellar evolution model | ||||||
Mi (M⊙) | Z | |$\dot{\rm \mathit{ M}}$| (M⊙ yr−1) | |$\tau _{10}^{\rm TAGB}$| | |$\delta _{\rm AGB}^{\rm last\, TP}$| | M|$_{\rm gas}^{\rm last\, TP}$| (M⊙) | |
1.25 | 0.004 | 1.7 × 10−5 | 0.34 | 10−3 | 0.4 |
SED . | . | . | . | . | . | . |
---|---|---|---|---|---|---|
. | Source . | Phase . | L (L⊙) . | τ10 . | δ . | Mgas (M⊙) . |
SSID 145 | AGB | 6000 ± 150 | 0.19 ± 0.02 | – | – | |
J050632.10−714229.8 | post-AGB | 6000 ± 400 | 0.003 ± 0.0004 | – | – | |
SMP LMC 102 | PN | |$3600^{+1000}_{-800}$| | – | (4.2 ± 1) × 10−4 | 0.37 ± 0.04a | |
Stellar evolution model | ||||||
Mi (M⊙) | Z | |$\dot{\rm \mathit{ M}}$| (M⊙ yr−1) | |$\tau _{10}^{\rm TAGB}$| | |$\delta _{\rm AGB}^{\rm last\, TP}$| | M|$_{\rm gas}^{\rm last\, TP}$| (M⊙) | |
1.25 | 0.004 | 1.7 × 10−5 | 0.34 | 10−3 | 0.4 |
δ is the dust-to-gas ratio;
is the total gas mass of the nebula.
The left panel of Fig. 1 shows the SED of SSID 145 and the synthetic spectrum from which Marini et al. (2021) derived a luminosity L = 6000 ± 150 L⊙, τ10 = 0.19 ± 0.02, and concluded that the dust around the star is made up of amorphous carbon, with traces of silicon carbide and MgS. Comparing these values with the ones obtained from the evolutionary models, this source was interpreted as the progeny of a 1.25 M⊙ star, currently evolving through the final AGB phases (see fig. 5 in Marini et al. 2021). Looking at the age–metallicity relation of the LMC (e.g. Harris & Zaritsky 2009), the typical metallicity of stars formed 1–1.5 Gyr ago is Z = 1–4 × 10−3.
The middle panel of Fig. 1 shows the synthetic SED and the observational data of the post-AGB source J050632.10−714229.8. From this comparison, T22 derived L = 6000 ± 400 L⊙ and |$\tau _{10}^{\mathrm{ pAGB}}=0.003\pm 0.0004$|, due to the presence of amorphous carbon dust located at a distance 2.74 × 105 R⊙ from the CS. Based on the comparison with the evolutionary tracks, T22 concluded that J050632.10−714229.8 descends from a |$1.25^{+0.2}_{-0.15}~{\rm M}_{\odot }$| progenitor. The measurement [Fe/H] = −0.4 (Kamath, Wood & Van Winckel 2015) is compatible with a metallicity Z ∼ 4 × 10−3. In the right panel of Fig. 2, we show the comparison between the carbon abundance of J050632.10−714229.8 given in van Aarle et al. (2013) (green square) and the variation of the surface carbon abundance during the final phases of the AGB evolution for three model stars of mass 1.0, 1.25, and 1.5 M⊙ (red lines).
In the right panel of Fig. 1, we show the synthetic SED of the PN SMP LMC 102, obtained as explained in Section 3. The derived luminosity were found to be |$3600^{+1000}_{-800}~{\rm L}_{\odot }$|. To reduce this uncertainty, we compared the measured abundance of 12 + log(C/H) with the prediction from the evolutionary tracks, as shown in the right panel of Fig. 2. The surface carbon abundance of stars with masses ≥1.5 M⊙ is too high to be compatible with the PN SMP LMC 102 carbon abundance; we can also exclude all the stars with masses <1 M⊙ that do not become carbon stars. We therefore estimate a CS mass of |$1.25^{+0.15}_{-0.25}~{\rm M}_{\odot }$|. This result is rather robust, as stars in this mass range are not expected to be exposed to strong mass-loss during the red giant branch, and also they do not experience any hot bottom burning (HBB), whose description is sensitive to convection modelling. The values of the core mass and luminosity obtained are within the values found by Miller Bertolami (2016) for stars of same mass and metallicity above (Z = 0.01) and below (Z = 0.001) the value used here. Furthermore, there is a good agreement among different evolutionary codes for the final carbon abundance predicted in the low-mass regime. This has been extensively investigated by Ventura et al. (2018) at solar metallicity, but we also tested it in the metal-poor regime. We considered Z = 0.001 case for which several models are available, even if slightly lower than the metallicity analysed in this work. Considering a 1.25–1.3 M⊙, the funs Repository of Updated Isotopic Tables & Yields (FRUITY) (Cristallo et al. 2011) and monash (Fishlock et al. 2014) predictions for the final carbon surface abundance are within ±0.1 dex from the aton value, 12 + log(C/H) = 8.65.
Regarding the nebula, the thickness δR and the mass of the gas cloud are estimated to be 0.06 ± 0.003 pc, and 0.37 ± 0.04 M⊙, respectively. The comparison between the synthetic SED and the observational data indicates that the IR excess is due to the presence of carbonaceous dust with a grain density of |$\rm {\mathit{ n}}_{\rm d}=(2.3\pm 0.5)\times 10^{-11}\rm {\mathit{ n}_{H}}$| and a gas-to-dust ratio δPN = (4.2 ± 1) × 10−4. The chemical abundances of this source, already discussed, by Ventura et al. (2015) are compatible with a metallicity Z ∼ 4 × 10−3.
5 THE AGB, POST-AGB, PN TIMELINE
The AGB and post-AGB sources discussed in the previous section have the same luminosity within the observational uncertainties, which, based on the evolutionary sequences computed as described in Section 3, suggests a progenitor star with an initial mass of 1.25 M⊙ and metallicity Z = 4 × 10−3.
The evolutionary tracks of 1.0, 1.25, and 1.5 M⊙ model stars with this metallicity are shown in the left panel of Fig. 2, while on the right panel we show the AGB evolution of the surface carbon for (in red) and of the mass of dust released (in black). Results from the stellar evolution modelling of a 1.25 M⊙ model indicate that the age of this star is around 3.5 Gyr, and that the AGB phase, lasting ∼1.3 Myr, is characterized by the occurrence of seven TPs, after which the evolution to the post-AGB phase begins. The last three TPs are followed by third dredge-up episodes, which favour the gradual increase in the surface carbon, until reaching [C/Fe] ∼ 1, following which the star enters the post-AGB evolution.
During the carbon star stage, the accumulation of carbon in the surface regions of the star and the simultaneous expansion and cooling of the external layers favour the formation of significant quantities of dust, mostly composed by amorphous carbon grains, which grows until reaching sizes of the order of 0.15 µm. The IR emission in the SED increases, and the optical depth grows, until τ10 ∼ 0.35 is reached at the tip of the AGB (TAGB). The overall amount of dust produced during the AGB phase is 4.7 × 10−4 M⊙. If we restrict the attention to the late phases following the last TP, the dust mass produced is 4 × 10−4 M⊙, while ∼0.45 M⊙ of gas is ejected into the interstellar medium: these quantities correspond to an average dust-to-gas ratio |$\delta _{\rm AGB}^{\rm last\, TP} \sim 10^{-3}$|.
During the evolutionary phases from the last TP until the TAGB, τ10 increases from ∼0.05 to ∼0.35, while the luminosity of the star is 6000 L⊙. These values are consistent with those derived in Section 4 for SSID 145, which we therefore believe is currently evolving through the final AGB phases, towards the TAGB.
J050632.10−714229.8 represents the post-AGB counterpart of SSID 145. T22 deduced that the current IR excess observed is related to a region around the star populated by carbonaceous dust, located at a distance of |$\rm \mathit{ R}_{dust}=2.74\times 10^5~{\rm R}_{\odot }$| from the CS, characterized by an optical depth τ10 = 3 × 10−3. We considered the hypothesis that the IR excess present in the SED of the post-AGB is due to the last dust produced and released at the end of the AGB phase or immediately after, before the temperature increases and prevents the condensation. The methodology introduced by T22 (see the Appendix for more details) allows to estimate the onset time when the dust was formed based on the comparison with the evolutionary tracks and dust formation model.
At the TAGB, the 1.25 M⊙ model star is characterized by effective temperature Teff = 2800 K, stellar radius 320 R⊙, mass-loss rate |$\dot{\rm \mathit{ M}}=1.7\times 10^{-5}~{{\rm M_{\odot }}}$| yr−1, and τ10 = 0.34. We want to identify the evolutionary stage after the start of the contraction towards the post-AGB phase when the dust currently observed was released. We will refer to it as the onset, making the hypothesis that it is when the effective temperature increased to 3000 K and the stellar radius dropped to R* = 280 R⊙. At the onset time, we find that |$\dot{\rm \mathit{ M}}=1.4\times 10^{-5}~{\rm M_{\odot }}$| yr−1 and that the dust is mainly located at a distance Ronset ∼ 10 R* from the centre of the star, with |$\tau _{10}^{\mathrm{ onset}}=0.24$|. If we apply the scaling relation of the optical depth with distance proposed by T22, we find the current optical depth |$\tau _{10}=\tau _{10}^{\mathrm{ onset}}\times \rm \mathit{ R}_{{\it \mathrm{ onset}}}/\rm \mathit{ R}_{dust}=0.24\times 10~{\rm \mathit{ R}}_{\ast }/(2.74\times 10^5~{\rm R}_{\odot }) \sim 3\times 10^{-3}$|. This value is in agreement with the quantity derived from the analysis of the IR excess of the SED (Section 4 and Table 1). We can assume that, evolving at constant luminosity, the time needed by the dust to reach the distance Rdust correspond to time required by the effective temperature to increase from 3000 K to the current estimated value of 7600 K is 2500 yr; if we assume an average velocity of the gas + dust wind of 5 km s−1 (see e.g. He et al. 2014), we find that the dust should be currently located at a distance ∼2.6 × 105 R⊙ from the star, once more in agreement with the results summarized in Section 4. The derived velocity is lower than those estimated for C-rich AGBs by Groenewegen et al. (2002): this is consistent with the fact that the aforementioned onset time is after the start of the contraction to the post-AGB, when DPR is lower, and so the expansion velocity.
According to the interpretation proposed here, SMP LMC 102 represents the PN counterpart of SSID 145 and J050632.10−714229.8. The mass of the gas cloud surrounding the CS is ∼0.4 M⊙, which is equivalent to the overall gas lost by the star after experiencing the last TP: we therefore propose that only this gas is currently and still trapped in the nebula, whereas that released before the last TP was lost. The IR excess, clearly visible in the SED (see right panel of Fig. 1), is related to the presence of significant quantities of carbonaceous dust, consistent with the analysis of SSID 145 and J050632.10−714229.8. The estimated dust-to-gas ratio given in Section 4 was δPN = 4.2 × 10−4. This value is 2.5 times smaller than the dust-to-gas ratio computed for the last interpulse of the AGB phase, δAGB ∼ 10−3. It could suggest that a fraction of the dust released during the final AGB phases is destroyed during the PN evolution (see e.g. van Hoof et al. 2000). Further investigations on a wider sample of PNe should be needed in order to test this hypothesis.
6 DISCUSSION
The results presented here highlight the advantages of simultaneously studying sources that are likely to be on a similar stellar evolutionary track but are in different evolutionary phases, ranging from the late AGB to the PN stage. With the availability of models that incorporate dust formation during the AGB phase, this approach emerges as a promising and valuable tool for assessing the expected dust budget from low- and intermediate-mass stars.
Owing to uncertainties in the description of the TPs, this method is applicable only in the final AGB stages after the last TP, when the luminosity attains the values characterizing the following post-AGB evolution. However, this limitation is not a major issue when considering dust production, since most of the dust is produced during the late interpulse phases. This is especially true in the low-mass domain, where significant amounts of dust form only after the last TP, when the star becomes a C-star.
In this work, we found that the study of post-AGB stars and PNe, when coupled with the modelling of the evolution and dust formation of the AGB phase, can provide valuable insights to this kind of investigation, from two different, complementary perspectives. The analysis of the SED of post-AGB stars allows to reconstruct the properties of the stars at the TAGB, when the physical conditions are most favourable to the condensation of gas molecules into solid grains: this is important to determine the largest DPRs experienced by the stars across the AGB phase. While the study of post-AGB sources provides detailed information regarding the very late AGB phases only, the investigation of PNe gives a more complete picture of the mass-loss and dust formation process that occurred during the final part of the AGB evolution. Interpreting the SED of PNe enables the estimation of the amount of gas and dust trapped within the nebula surrounding the star. Comparing these results with those obtained from stellar evolution and dust formation modelling during the AGB phase facilitates the understanding of: (a) how much of the gas released by the star during the late AGB phases is still trapped in the nebula; and (b) the percentage of dust that survived to sublimation.
In the specific example discussed here, we find that all the gas released by the star after the occurrence of the last TP is currently trapped in the nebula, while only |${\sim} 40{{\ \rm per\ cent}}$| of the dust produced during those phases is still present in the nebula. This result could indicate that part of the dust has been destroyed during the heating process of the CS. However, further investigations are needed to prove this hypothesis and to determine whether this behaviour is general, or if other factors may alter this scenario. For example, it would be interesting to verify if in carbon stars of higher mass, where the dust formation process is more efficient, significant fractions of dust may be lost via sublimation. This would necessitate a downward revision of the dust budget estimated for these stars. On the other hand, the stronger radiation pressure associated with the increased dust production might facilitate the escape of the gas + dust wind from the AGB phase, resulting in smaller amounts of gas present in the nebula and allowing higher fractions of dust to survive. To address all these questions, it is crucial to apply the proposed approach to a wider sample of sources covering a larger range of initial masses. Also, it is interesting to see the results of a similar approach applied to stars at different initial metallicity than the LMC sequence, for example by using Small MC of Galactic stellar sequences such as the one presented here. Future observations with the JWST would further help in widening and enriching the variety and accuracy of the IR observational sample.
ACKNOWLEDGEMENTS
FD and PV acknowledge the support received from the National Insitute for Astrophysics (INAF) with the PRIN 2019 grant ‘Building up the halo: chemodynamical tagging in the age of large surveys’ (ObFu 1.05.01.85.14, PI. S. Lucatello) and from the INAF-GTO Grant 2022 entitled ‘Understanding the formation of globular clusters with their multiple stellar generations’ (P.I. A. Marino). FD and EM were supported by the INAF-Mini-GRANTS 2022 (‘Disclosing the stellar dust production in the Milky Way’, PI. E. Marini). DK acknowledges the ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project CE170100013. DAG acknowledges support from the State Research Agency (AEI) of the Spanish Ministry of Science and Innovation (MICINN) under grant no. PID2020-115758GB-I00. This article is based upon work from European Cooperation in Science and Technology (COST) Action NanoSpace, CA21126, supported by COST. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.
DATA AVAILABILITY
The data underlying this article will be shared on reasonable request to the corresponding author.
Footnotes
We considered the radius Rphot determined by Shaw et al. (2001) on the basis of the O iii emission to be able to set Rin rather than leaving them as free parameters. Considering that the photoionization zone starts in an inner region of the nebula than the O iii emission, we scaled Rphot by a factor of 0.7 to obtain the Rin, as shown e.g. fig. 2.6 in Osterbrock & Ferland (2006).
References
APPENDIX A: MODEL FOR DUST PRODUCTION AND WIND DYNAMIC
In this section, we make a summary of the model adopted to describe the dust formation and expansion of the dust during the transition from the AGB to the PN phase. First, we briefly describe the dust formation model adopted to compute the amount of dust produced in the circumstellar envelope of evolved stars during the AGB phase. The approach couple the description by Ferrarotti & Gail (2006) for dust formation in stellar winds with the aton stellar evolution models, as described in details in Ventura et al. (2012). We assumed that the wind expands isotropically from the surface of the star with a constant velocity, described on the basis of the mass and momentum conservation. As the wind expands, the temperature cools down and the gas particles enter the condensation region. We follow the growth of the dust particles on the basis of the gas density and the thermal velocity in the inner border of the condensation region. When a certain amount of dust is formed, the extinction coefficient in the equation of momentum conservation increases and the radiation pressure on the dust particles accelerates the wind. Mass, luminosity, effective temperature, mass-loss rates, and the surface chemical composition are the physical and chemical parameters, calculated by the stellar evolution code at several stages of the AGB phases, that enters in the dust formation computation. The surface chemical composition, resulting from the detailed description of nuclear and convective processes occurring during the AGB phase, determines the main dust species formed in the wind. In oxygen-rich environments (C/O < 1), silicates are the main dust species formed and alumina dust (Al2O3) in a smaller quantity; in carbon-rich circumstellar envelopes (C/O > 1), carbon dust is the major dust compound, with a minor quantity of silicon carbide possibly formed. The grain sizes, the density, and type of dust formed determine the optical depth τ10 (see Table 1), physical parameters that enters in the radiative transfer computation needed for the comparison with the observational data.
In order to characterize the post-AGB source J050632.10−714229.8, we prosecuted the computation of the aton evolutionary tracks after the TAGB, as presented by Kamath et al. (2023) and Tosi et al. (2022). To determine the formation history of the dust present in the surroundings of this object, we applied the methodology presented by Tosi et al. (2022) and summarized here. We considered the hypothesis that the IR excess present in the SED of the post-AGB is due to the last dust produced and released at the end of the AGB phase or immediately after, before the temperature increases and prevents the condensation. We checked the consistency between the results obtained from dust formation modelling and from the SED (see Table 1) considering the scaling relation introduced by Tosi et al. (2022). We computed the optical depth which would have characterized the star if it was observed after the TAGB. To check compatibility with the current optical depth derived from SED fitting, we applied the following scaling relation introduced in T22: |$\tau _{10}=\tau _{10}^{\mathrm{ onset}}\times R_{\mathrm{ dust}}/R_{\mathrm{ onset}}$|. In this formula, Ronset is the distance of the dusty region from the centre of the star at the time when the dust was produced (typically five to ten stellar radii from the centre of the star), while Rdust is the current distance of the dust from the post-AGB star. We evaluated the reliability of the hypothesis that the dust was released at a given evolutionary phase by comparing τ10 with the values derived from the SED fitting, reported in Table 1. We can work on this hypothesis estimating the time-scale needed by the dust to move to the current location. Since the luminosity is constant from the TAGB to the post-AGB phase, we can think only on the basis of the time-scale needed to the star to reach the effective temperature measured in the post-AGB star. We derived the velocity with which the wind would move since the dust was released until the present epoch by dividing the derived Rin by the time interval required for the effective temperature of the star to increase from the value at the considered evolutionary phase until the current value. The latter time was calculated based on stellar evolution modelling.