Next Article in Journal
PBH Formation from Spherically Symmetric Hydrodynamical Perturbations: A Review
Next Article in Special Issue
A Novel Approach to β-Decay: PANDORA, a New Experimental Setup for Future In-Plasma Measurements
Previous Article in Journal
Classification of Circular Equatorial Orbits around Regular Rotating Black Holes and Solitons with the de Sitter/ Phantom Interiors
Previous Article in Special Issue
Nucleosynthesis, Mixing Processes, and Gas Pollution from AGB Stars
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

The Abundance of S-Process Elements: Temporal and Spatial Trends from Open Cluster Observations

1
INAF-Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125 Firenze, Italy
2
Institute of Theoretical Physics and Astronomy, Vilnius University, Sauletekio Av. 3, 10257 Vilnius, Lithuania
3
Dipartimento di Fisica e Astronomia, Università degli Studi di Bologna, Via Gobetti 93/2, 40129 Bologna, Italy
4
INAF-Osservatorio di Astrofisica e Scienza dello Spazio, Via P. Gobetti 93/3, 40129 Bologna, Italy
5
Leibniz Institute for Astrophysics Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany
6
INAF-Osservatorio Astronomico di Padova, Vicolo dell’Osservatorio 5, 35122 Padova, Italy
7
School of Physics and Astronomy, Monash University, Clayton Campus, Melbourne, VIC 3800, Australia
8
INAF-Osservatorio Astronomico d’Abruzzo, Via Mentore Maggini Snc, 64100 Teramo, Italy
9
INFN-Sezione di Perugia, Via A. Pascoli Snc, 06123 Perugia, Italy
10
Institute for Applied Physics, Goethe University Frankfurt, Max-von-Laue-Strasse 1, 60438 Frankfurt am Main, Germany
*
Author to whom correspondence should be addressed.
Universe 2022, 8(2), 64; https://doi.org/10.3390/universe8020064
Submission received: 7 December 2021 / Revised: 13 January 2022 / Accepted: 17 January 2022 / Published: 21 January 2022

Abstract

:
Spectroscopic observations of stars belonging to open clusters, with well-determined ages and distances, are a unique tool for constraining stellar evolution, nucleosynthesis, mixing processes, and, ultimately, Galactic chemical evolution. Abundances of slow (s) process neutron capture elements in stars that retain their initial surface composition open a window into the processes that generated them. In particular, they give us information on their main site of production, i.e., the low- and intermediate-mass Asymptotic Giant Branch (AGB) stars. In the present work, we review some observational results obtained during the last decade that contributed to a better understanding of the AGB phase: the growth of s-process abundances at recent epochs, i.e., in the youngest stellar populations; the different relations between age and [s/Fe] in distinct regions of the disc; and finally the use of s-process abundances combined with those of α elements, [s/ α ], to estimate stellar ages. We revise some implications that these observations had both on stellar and Galactic evolution, and on our ability to infer stellar ages.

1. Introduction

The production of elements heavier than iron follows a different path from the lighter ones, as they cannot be synthesised through thermonuclear fusion reactions. They are formed by addition of neutrons in various astrophysical contexts, either by rapid (r) or slow (s) processes, depending on whether the neutron-capture is slow or rapid compared to the timescale of the β -decay [1]. The production of s-process elements can occur both in massive stars (the so-called weak process; see, e.g., Heil et al. [2], Pignatari et al. [3,4]) and during the asymptotic giant branch (AGB) phase of low- and intermediate-mass stars (the main process; see, e.g., Busso and Gallino [5], Busso et al. [6], Karakas and Lugaro [7], Cristallo et al. [8], Busso et al. [9]). Here, we focus on the s-process elements produced by the main process. In this contribution, we review the steps done in the last decade to understand the origin and evolution of the s-process elements, and the great contribution given by high-resolution spectroscopic observations of open star clusters.

2. The Open Cluster Samples and the Contribution of the Gaia-ESO Survey

Open star clusters are coeval groups of stars, sharing the same chemical composition, and belonging to the Galactic disc. Thanks to photometric observations of several members along the evolutionary sequence of star clusters, it is possible to determine precisely their age and distance. The reached precision is much higher than that achieved when measuring the ages of field stars. In addition, the population of open clusters covers a wide range of ages (from a few Myr to about 7–8 Gyr), and Galactocentric distances (5–20 kpc), thus representing among the best tracers of the kinematics and of the chemistry (including its time evolution) of the Galactic thin disc (see Dias et al. [10], Kharchenko et al. [11] for the two most widely used catalogues before Gaia). The Gaia mission has given an incredible boost leading to the discovery, confirmation and determination of the properties of thousands of clusters [12,13,14,15,16]. Gaia results were amplified by combining them with ground-based large spectroscopic surveys, e.g., APOGEE [17], GALAH [18] and Gaia-ESO [19,20]. Among them, the Gaia-ESO survey, a large public spectroscopic survey carried on with the spectrograph FLAMES [21] at ESO/VLT [19,20] from the end of 2011 to 2018, devoted about 36% of the 340 allocated observing nights to open clusters. Its cluster sample was designed to cover the whole age-distance-metallicity parameter space, observing in each cluster large and unbiased samples of stars. The Gaia-ESO sample thus represents a unique tool for investigating variations in the spatial and temporal properties of s-process abundances in the disc. A description of the survey and of the open cluster sample can be found in Randich et al. (submitted).

3. Age Effects in the Abundances of the S-Process Elements

From an observational point of view, the study of the chemical composition of stellar populations with well-measured ages, i.e., star clusters, has revealed an interesting property of s-process elements related to their main site of production. The pioneering work of D’Orazi et al. [22] indeed noticed a net increase in the abundance of the s-process abundances in the youngest stellar populations of their sample, with Ba abundance noticeably higher in the younger clusters than in the older ones. Subsequent works [23,24] added several other elements with important s-process contributions (yttrium, zirconium, lanthanum, and cerium), confirming the increasing trend of their abundances towards younger ages. Several further works have contributed to the understanding of the origin of this growth, without yet reaching a general consensus, arguing whether the enrichment is due to mixing effects that produce a larger source of neutrons, and hence s-elements, in low-mass stars, or whether it is due to observational effects or related to stellar characteristics, such as chromospheric or magnetic activity (see, e.g., Busso et al. [9], Bisterzo et al. [25], Mishenina et al. [26], Trippella et al. [27], Reddy and Lambert [28], Magrini et al. [29], Spina et al. [30,31], Baratella et al. [32]). Other works used the properties of those abundance ratios as a valuable tool to estimate the ages of stars (see, e.g., Spina et al. [30], Nissen [33], Delgado Mena et al. [34], Casali et al. [35], Horta et al. [36]).
One of the most interesting open topics in chemical evolution is, indeed, to understand the origin of the time-evolution of the s-process abundances, both for its importance in our comprehension of the evolution and nucleosynthesis of the most numerous population, i.e., low- and intermediate-mass stars, and for its application as a tracer of stellar age. Chemical evolution models assuming a decreasing efficiency in the production of s-process elements in low-mass stars (see, e.g., Pagel and Tautvaisiene [37], Travaglio et al. [38]) predict a plateau or even a decrease in the abundances [El/Fe] versus age in the last 4–5 Gyr. In such models, an increase at later times was not expected. However, from an observational point of view, a general consensus of an increasing, though weak, trend in the s-process elements production exists, both from cluster samples (e.g., Maiorca et al. [23,24], Mishenina et al. [26], Yong et al. [39], Jacobson and Friel [40], Mishenina et al. [41], Sales-Silva et al. [42]) and from field stars (e.g., Reddy and Lambert [28], Spina et al. [30], Nissen et al. [43]). The observations of Gaia-ESO [29] confirmed with a large statistical sample of open clusters and field stars, homogeneously analysed, the increasing trend of s-process abundance ratios (Y, Zr, Ba, La, Ce) with age, in the solar neighbourhood (see Figure 1). The weighted linear fits shown in Figure 1, computed for stellar ages <8 Gyr, and considering both the open cluster and field star populations, highlight the increase of [El/Fe] at recent epochs. Details and coefficients of the fits can be found in Magrini et al. [29]. In Figure 1, we can notice the so-called barium puzzle, i.e., the overabundance of Ba with respect to the other elements of the second peak in younger stellar populations, which is probably linked to the effect of stellar activity and how it shapes the strongest spectral lines. For a discussion on this topic, we refer to [31,44] and to the contribution of V. D’Orazi in this volume.
From a theoretical point of view, an important step in understanding the late-time increase has been made (first empirically, then quantitatively) by including a higher production of s-elements by low-mass stars ( M < 1.5 M ), which start contributing later in the lifetime of the Galaxy (see, e.g., D’Orazi et al. [22], Maiorca et al. [24]) and in which larger reservoirs of neutrons from the 13 C( α , n ) 16 O reaction might be in place. The presence of an extended 13 C pocket requires a very efficient mixing episode and the magnetic buoyancy is one of the most conceivable transport mechanisms able to produce it [9,27,45,46,47,48,49,50]. The result is also confirmed in independent way from the composition of the presolar grains [51,52,53], confirming the major role played by low-mass AGB stars in the s-process Galactic enrichment. Moreover, to complicate the picture further, the yields of s-process elements are highly dependent on metallicity, in a non-monotonic way (see. e.g., [7,54,55]), and thus varied behaviours are expected at different Galactocentric regions, characterised by diverse star formation history and metallicity, as reflected by the presence of the radial metallicity gradient [56,57,58].

4. Spatial Effect in the Age-[s/Fe] Relationships

The relation between the abundances of neutron-capture elements and stellar ages in the limited volume around the Sun has been later widely investigated and confirmed [28,30,39,40,41,59,60,61]. The work of Viscasillas Vázquez et al. (submitted, hereafter VV22), taking advantage of the last Gaia-ESO data release, made use of a sample of open clusters covering a wide range of ages (0.1–7 Gyr) and Galactocentric distances (5–20 kpc), to extend the relationships between age and [s/Fe] in different regions of the disc. The results are summarised in Figure 2 (for full details see VV22), in which the cluster sample is divided in three Galactocentric regions: an outer region of the Galactic disc, which includes 30 OCs located at a Galactocentric distance R GC > 9 kpc; a central region, in which our Sun is located, which includes 20 OCs at 7 R GC 9 kpc; and an inner region, with 12 OCs at R GC < 7 kpc. The figure shows some important results: (i) the maximum enrichment (intercept of the fit) varies with the Galactocentric distance, and the highest values of [s/Fe] are reached in the outer disc for all the considered elements; (ii) although in each radial bin there is a well-defined relation between age and abundance ratios, its slope varies with R GC ; (iii) there are differences between the elements of the first and second peaks, and, on average, the slope of the relation involving the first-peak elements is flatter than for the second-peak ones; (iv) [Ba/Fe] differs from the other two heavy elements, Ce and La (barium puzzle). The radial variations are likely related to the interplay between the metallicity dependence of the s-process yields, which acts differently on the two peaks, and the radial dependence of the star formation history. A possible explanation was proposed by Magrini et al. [62]. They used a new set of yields from FRUITY stellar models in which the magnetic-buoyancy-induced mixing accounts for the formation of the 13 C neutron source in AGB stars [52]. The new yields, included in a Galactic chemical evolution model, can qualitatively explain the different time evolution of the s-process elements in the inner part of the disc with respect to the outskirts [62].

5. The [s/ α ] Ratios as Age Tracers

One of the hot topics in Galactic Archaeology is the determination of the ages of stars. Stellar ages, in fact, add the temporal dimension to the complex picture outlined by positions, distances, kinematics and chemistry provided by the Gaia mission [63,64,65] and the ground-based spectroscopic surveys [17,18,19]. In the last decades, the use of chemical indicators for stellar ages, the so-called chemical clocks, has been consolidated (see, e.g., Delgado Mena et al. [34], Casali et al. [35], Casamiquela et al. [61], Spina et al. [66], Jofré et al. [67], Casali et al. [68]), providing alternative and complementary estimates of ages to the classical isochrone fitting. The relation between [s/ α ] and stellar age is well-established in the solar neighbourhood, and currently the relevant issue is whether it is universally valid, or depends on, e.g., the spectral type considered [61,69,70], the metallicity [35,71], and the stellar population [72,73,74].
Starting from the work of Casali et al. [35], it was noticed that the relations derived in the solar neighbourhood fail to reproduce the ages of star clusters in the inner disc. They concluded that the relationships between age and abundance-ratios are not universal, and vary with Galactocentric position. In a similar way, Casamiquela et al. [61] noticed that the dispersion in those relations increases adding star clusters with different R GC . Casali et al. [35] attributed the spatial variation of these relations to the change of the star formation history along R GC , coupled with the non-monotonic metallicity-dependence of the s-process stellar yields. This suggestion is later theoretically confirmed by Magrini et al. [62].
The final Gaia-ESO data release produced a new momentum for this topic by providing the largest sample of open clusters with abundances from high-resolution spectra, including s-processes. Furthermore, for most of the clusters in Gaia-ESO we can benefit from ages and distances measured homogeneously with Gaia data [13]. The analysis of VV22, summarised in Figure 3 in which [Y/Mg] and [Ba/Mg] versus cluster age are shown, clearly illustrates the differences in the relationships for the cluster samples located in different Galactocentric regions. The figure shows that there is no single relation that can be adopted in the whole disk, but that it is fundamental to take into account R GC when one wants to estimate the age of a star from its [s/ α ].

6. Summary, Conclusions and Future Perspectives

Observations of stars in clusters have made an important contribution to our understanding of the evolution and nucleosynthesis of low- and intermediate-mass stars, and their implications in the global chemical evolution of our Galaxy. Since the cluster populations comprise large ranges in age and R GC , they serve as tests for both the temporal and spatial evolution of the products of chemical evolution. In the present work, we have shown some recent observational results which provided strong constraints of the physics of the AGB stars as producers of heavy s-process elements.
  • Observations in young clusters have revealed, for the first time, the important role played by low-mass stars during their AGB phase in the s-process Galactic enrichment during recent epochs, providing strong constraints on mixing processes, necessary to produce an enhanced 13 C pocket, with consequent effects on nucleosynthesis [9,22,23,24,48].
  • Large samples of open clusters have confirmed the growth with time of the s-process abundances, but showing a different time evolution at different R G C . That difference might be a signature of the non-monotonic metallicity dependence of the AGB yields for the s-process elements. The s-process yields are indeed driven by the neutron-to-seed ratio, which depends on the availability of free neutrons (numerator) and on the abundance of iron seed from which the s-process path starts (denominator). While the first quantity is of primary origin, the latter depends on the initial metallicity. The different time evolution of the elements belonging to the first and second peaks made a further theoretical effort necessary, in which the inclusion of magnetic fields succeeds in qualitatively reproducing the observations [52,62]. Given the great importance of the dependence on mass and metallicity of s-process element yields, it will be necessary in future to produce finer grids of stellar yields, taking also in to account constraints from other elements, like Pb and Rb, which will allow us to distinguish between different scenarios.
  • Finally, the ratio between s-process and α elements are considered excellent indicators of stellar age. Observations of these abundance ratios in clusters enabled us to calibrate relationships between ages and so-called chemical clocks. Recent works ([35] VV22), using the cluster sample in Gaia-ESO, have revealed that these relationships are not universal, and that they have a high degree of dependence on Galactocentric distance. So special care must be taken when inferring ages from them, and it is essential to take into account the radial region of origin of the stars. This can be particularly relevant for the older stars on which stellar migration has the greatest influence [75,76,77,78,79]. In addition, chemical clocks based on Ba and Y might not work for clusters younger than 150 Myr, since their abundances can be modified for other reasons (see [44]).
Many of the absorption lines produced by heavy elements fall in the blue and ultra-violet (UV) part of the spectrum. Remarkable progress in the study of the formation and evolution of these elements will be achieved with the next generation of spectrographs that will include wavelength ranges towards the blue and UV. Among the future instruments, we recall CUBES (Cassegrain U-Band Efficient Spectrograph), a forthcoming ESO VLT spectrograph with the goal of covering with a high efficiency the UV ground-based region (300–400 nm) with intermediate resolution (about R = 20,000) and HRMOS (High Resolution Multi-Object Spectrograph), a proposed facility instrument for the ESO VLT, with high spectral resolution (R = 60,000–80,000) and multi-object (50–100) capabilities and stability, going to blue wavelengths (from 380 nm). Thanks to its high spectral resolution, HRMOS will be the only instrument that will provide Pb measurements for large samples of stars, which are crucial for a complete understanding of the production of s-elements from the main process.

Author Contributions

Conceptualization, L.M., C.V.V., G.C., L.S., V.D., M.B., S.R., S.C., D.V.; methodology, L.M., C.V.V., G.C., L.S., V.D., M.B., S.C., D.V.; software, L.M., C.V.V., G.C., L.S., V.D., M.B., S.C., D.V.; writing—original draft preparation, L.M.; writing—review and editing, L.M., C.V.V., G.C., L.S., V.D., M.B., S.R., S.C., D.V.; visualization, L.M., C.V.V. All authors have read and agreed to the published version of the manuscript.

Funding

COST Action CA18104: MW-Gaia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Gaia-ESO data can be accessed from the ESO Archive: http://archive.eso.org/ (accessed on 6 December 2021).

Acknowledgments

The authors acknowledge A. Karakas for useful discussion. G.C. acknowledges support from the European Research Council Consolidator Grant funding scheme (project ASTEROCHRONOMETRY, G.A. n. 772293, http://www.asterochronometry.eu (accessed on 6 December 2021). L.M. and C.V.V. thank the COST Action CA18104: MW-Gaia. D.V. acknowledges financial support from the German-Israeli Foundation (GIF No. I-1500-303.7/2019).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Burbidge, E.M.; Burbidge, G.R.; Fowler, W.A.; Hoyle, F. Synthesis of the Elements in Stars. Rev. Mod. Phys. 1957, 29, 547–650. [Google Scholar] [CrossRef] [Green Version]
  2. Heil, M.; Käppeler, F.; Uberseder, E.; Gallino, R.; Pignatari, M. The s process in massive stars. Prog. Part. Nucl. Phys. 2007, 59, 174–182. [Google Scholar] [CrossRef]
  3. Pignatari, M.; Gallino, R.; Meynet, G.; Hirschi, R.; Herwig, F.; Wiescher, M. The s-Process in Massive Stars at Low Metallicity: The Effect of Primary 14N from Fast Rotating Stars. Astrophys. J. Lett. 2008, 687, L95. [Google Scholar] [CrossRef] [Green Version]
  4. Pignatari, M.; Gallino, R.; Heil, M.; Wiescher, M.; Käppeler, F.; Herwig, F.; Bisterzo, S. The Weak s-Process in Massive Stars and its Dependence on the Neutron Capture Cross Sections. Astrophys. J. 2010, 710, 1557–1577. [Google Scholar] [CrossRef]
  5. Busso, M.; Gallino, R. s-Process Abundances in AGB Stars At Various Metallicities and Their Theoretical Interpretation. Nucl. Phys. A 1997, 621, 431–434. [Google Scholar] [CrossRef]
  6. Busso, M.; Gallino, R.; Lambert, D.L.; Travaglio, C.; Smith, V.V. Nucleosynthesis and Mixing on the Asymptotic Giant Branch. III. Predicted and Observed s-Process Abundances. Astrophys. J. 2001, 557, 802–821. [Google Scholar] [CrossRef] [Green Version]
  7. Karakas, A.I.; Lugaro, M. Stellar Yields from Metal-rich Asymptotic Giant Branch Models. Astrophys. J. 2016, 825, 26. [Google Scholar] [CrossRef]
  8. Cristallo, S.; La Cognata, M.; Massimi, C.; Best, A.; Palmerini, S.; Straniero, O.; Trippella, O.; Busso, M.; Ciani, G.F.; Mingrone, F.; et al. The Importance of the 13C(α,n)16O Reaction in Asymptotic Giant Branch Stars. Astrophys. J. 2018, 859, 105. [Google Scholar] [CrossRef] [Green Version]
  9. Busso, M.; Vescovi, D.; Palmerini, S.; Cristallo, S.; Antonuccio-Delogu, V. s-processing in AGB Stars Revisited. III. Neutron Captures from MHD Mixing at Different Metallicities and Observational Constraints. Astrophys. J. 2021, 908, 55. [Google Scholar] [CrossRef]
  10. Dias, W.S.; Alessi, B.S.; Moitinho, A.; Lépine, J.R.D. New catalogue of optically visible open clusters and candidates. Astron. Astrophys. 2002, 389, 871–873. [Google Scholar] [CrossRef] [Green Version]
  11. Kharchenko, N.V.; Piskunov, A.E.; Schilbach, E.; Röser, S.; Scholz, R.D. Global survey of star clusters in the Milky Way. II. The catalogue of basic parameters. Astron. Astrophys. 2013, 558, A53. [Google Scholar] [CrossRef] [Green Version]
  12. Cantat-Gaudin, T.; Anders, F. Clusters and mirages: Cataloguing stellar aggregates in the Milky Way. Astron. Astrophys. 2020, 633, A99. [Google Scholar] [CrossRef] [Green Version]
  13. Cantat-Gaudin, T.; Anders, F.; Castro-Ginard, A.; Jordi, C.; Romero-Gómez, M.; Soubiran, C.; Casamiquela, L.; Tarricq, Y.; Moitinho, A.; Vallenari, A.; et al. Painting a portrait of the Galactic disc with its stellar clusters. Astron. Astrophys. 2020, 640, A1. [Google Scholar] [CrossRef]
  14. Castro-Ginard, A.; Jordi, C.; Luri, X.; Cantat-Gaudin, T.; Balaguer-Núñez, L. Hunting for open clusters in Gaia DR2: The Galactic anticentre. Astron. Astrophys. 2019, 627, A35. [Google Scholar] [CrossRef] [Green Version]
  15. Castro-Ginard, A.; Jordi, C.; Luri, X.; Álvarez Cid-Fuentes, J.; Casamiquela, L.; Anders, F.; Cantat-Gaudin, T.; Monguió, M.; Balaguer-Núñez, L.; Solà, S.; et al. Hunting for open clusters in Gaia DR2: 582 new open clusters in the Galactic disc. Astron. Astrophys. 2020, 635, A45. [Google Scholar] [CrossRef] [Green Version]
  16. Castro-Ginard, A.; Jordi, C.; Luri, X.; Cantat-Gaudin, T.; Carrasco, J.M.; Casamiquela, L.; Anders, F.; Balaguer-Núñez, L.; Badia, R.M. Hunting for open clusters in Gaia EDR3: 664 new open clusters found with OCfinder. arXiv 2021, arXiv:2111.01819. [Google Scholar]
  17. Majewski, S.R.; Schiavon, R.P.; Frinchaboy, P.M.; Allende Prieto, C.; Barkhouser, R.; Bizyaev, D.; Blank, B.; Brunner, S.; Burton, A.; Carrera, R.; et al. The Apache Point Observatory Galactic Evolution Experiment (APOGEE). Astron. J. 2017, 154, 94. [Google Scholar] [CrossRef]
  18. De Silva, G.M.; Freeman, K.C.; Bland-Hawthorn, J.; Martell, S.; de Boer, E.W.; Asplund, M.; Keller, S.; Sharma, S.; Zucker, D.B.; Zwitter, T.; et al. The GALAH survey: Scientific motivation. Mon. Not. R. Astron. Soc. 2015, 449, 2604–2617. [Google Scholar] [CrossRef] [Green Version]
  19. Gilmore, G.; Randich, S.; Asplund, M.; Binney, J.; Bonifacio, P.; Drew, J.; Feltzing, S.; Ferguson, A.; Jeffries, R.; Micela, G.; et al. The Gaia-ESO Public Spectroscopic Survey. Messenger 2012, 147, 25–31. [Google Scholar]
  20. Randich, S.; Gilmore, G.; Gaia-ESO Consortium. The Gaia-ESO Large Public Spectroscopic Survey. Messenger 2013, 154, 47–49. [Google Scholar]
  21. Pasquini, L.; Avila, G.; Blecha, A.; Cacciari, C.; Cayatte, V.; Colless, M.; Damiani, F.; de Propris, R.; Dekker, H.; di Marcantonio, P.; et al. Installation and commissioning of FLAMES, the VLT Multifibre Facility. Messenger 2002, 110, 1–9. [Google Scholar]
  22. D’Orazi, V.; Magrini, L.; Randich, S.; Galli, D.; Busso, M.; Sestito, P. Enhanced Production of Barium in Low-Mass Stars: Evidence from Open Clusters. Astrophys. J. Lett. 2009, 693, L31–L34. [Google Scholar] [CrossRef] [Green Version]
  23. Maiorca, E.; Randich, S.; Busso, M.; Magrini, L.; Palmerini, S. s-processing in the Galactic Disk. I. Super-solar Abundances of Y, Zr, La, and Ce in Young Open Clusters. Astrophys. J. 2011, 736, 120. [Google Scholar] [CrossRef] [Green Version]
  24. Maiorca, E.; Magrini, L.; Busso, M.; Randich, S.; Palmerini, S.; Trippella, O. News on the s Process from Young Open Clusters. Astrophys. J. 2012, 747, 53. [Google Scholar] [CrossRef] [Green Version]
  25. Bisterzo, S.; Travaglio, C.; Gallino, R.; Wiescher, M.; Käppeler, F. Galactic Chemical Evolution and Solar s-process Abundances: Dependence on the 13C-pocket Structure. Astrophys. J. 2014, 787, 10. [Google Scholar] [CrossRef] [Green Version]
  26. Mishenina, T.; Pignatari, M.; Carraro, G.; Kovtyukh, V.; Monaco, L.; Korotin, S.; Shereta, E.; Yegorova, I.; Herwig, F. New insights on Ba overabundance in open clusters. Evidence for the intermediate neutron-capture process at play? Mon. Not. R. Astron. Soc. 2015, 446, 3651–3668. [Google Scholar] [CrossRef] [Green Version]
  27. Trippella, O.; Busso, M.; Palmerini, S.; Maiorca, E.; Nucci, M.C. s-Processing in AGB Stars Revisited. II. Enhanced 13C Production through MHD-induced Mixing. Astrophys. J. 2016, 818, 125. [Google Scholar] [CrossRef] [Green Version]
  28. Reddy, A.B.S.; Lambert, D.L. Solar Twins and the Barium Puzzle. Astrophys. J. 2017, 845, 151. [Google Scholar] [CrossRef] [Green Version]
  29. Magrini, L.; Spina, L.; Randich, S.; Friel, E.; Kordopatis, G.; Worley, C.; Pancino, E.; Bragaglia, A.; Donati, P.; Tautvaišienė, G.; et al. The Gaia-ESO Survey: The origin and evolution of s-process elements. Astron. Astrophys. 2018, 617, A106. [Google Scholar] [CrossRef] [Green Version]
  30. Spina, L.; Meléndez, J.; Karakas, A.I.; dos Santos, L.; Bedell, M.; Asplund, M.; Ramírez, I.; Yong, D.; Alves-Brito, A.; Bean, J.L.; et al. The temporal evolution of neutron-capture elements in the Galactic discs. Mon. Not. R. Astron. Soc. 2018, 474, 2580–2593. [Google Scholar] [CrossRef] [Green Version]
  31. Spina, L.; Nordlander, T.; Casey, A.R.; Bedell, M.; D’Orazi, V.; Meléndez, J.; Karakas, A.I.; Desidera, S.; Baratella, M.; Yana Galarza, J.J.; et al. How Magnetic Activity Alters What We Learn from Stellar Spectra. Astrophys. J. 2020, 895, 52. [Google Scholar] [CrossRef]
  32. Baratella, M.; D’Orazi, V.; Carraro, G.; Desidera, S.; Randich, S.; Magrini, L.; Adibekyan, V.; Smiljanic, R.; Spina, L.; Tsantaki, M.; et al. The Gaia-ESO Survey: A new approach to chemically characterising young open clusters. I. Stellar parameters, and iron-peak, α-, and proton-capture elements. Astron. Astrophys. 2020, 634, A34. [Google Scholar] [CrossRef] [Green Version]
  33. Nissen, P.E. High-precision abundances of elements in solar twin stars. Trends with stellar age and elemental condensation temperature. Astron. Astrophys. 2015, 579, A52. [Google Scholar] [CrossRef] [Green Version]
  34. Delgado Mena, E.; Moya, A.; Adibekyan, V.; Tsantaki, M.; González Hernández, J.I.; Israelian, G.; Davies, G.R.; Chaplin, W.J.; Sousa, S.G.; Ferreira, A.C.S.; et al. Abundance to age ratios in the HARPS-GTO sample with Gaia DR2. Chemical clocks for a range of [Fe/H]. Astron. Astrophys. 2019, 624, A78. [Google Scholar] [CrossRef] [Green Version]
  35. Casali, G.; Spina, L.; Magrini, L.; Karakas, A.; Kobayashi, C.; Casey, A.; Feltzing, S.; Van der Swaelmen, M.; Tsantaki, M.; Bragaglia, A.; et al. The Gaia-ESO survey: The non-universality of the age-chemical-clocks-metallicity relations in the Galactic disc. Astron. Astrophys. 2020, 639, A127. [Google Scholar] [CrossRef]
  36. Horta, D.; Ness, M.K.; Rybizki, J.; Schiavon, R.P.; Buder, S. Neutron-capture elements record the ordered chemical evolution of the disc over time. arXiv 2021, arXiv:2111.01809. [Google Scholar]
  37. Pagel, B.E.J.; Tautvaisiene, G. Galactic chemical evolution of primary elements in the solar neighbourhood-II. Elements affected by the s-process. Mon. Not. R. Astron. Soc. 1997, 288, 108–116. [Google Scholar] [CrossRef] [Green Version]
  38. Travaglio, C.; Galli, D.; Gallino, R.; Busso, M.; Ferrini, F.; Straniero, O. Galactic Chemical Evolution of Heavy Elements: From Barium to Europium. Astrophys. J. 1999, 521, 691–702. [Google Scholar] [CrossRef] [Green Version]
  39. Yong, D.; Carney, B.W.; Friel, E.D. Elemental Abundance Ratios in Stars of the Outer Galactic Disk. IV. A New Sample of Open Clusters. Astron. J. 2012, 144, 95. [Google Scholar] [CrossRef] [Green Version]
  40. Jacobson, H.R.; Friel, E.D. Zirconium, Barium, Lanthanum, and Europium Abundances in Open Clusters. Astron. J. 2013, 145, 107. [Google Scholar] [CrossRef] [Green Version]
  41. Mishenina, T.; Korotin, S.; Carraro, G.; Kovtyukh, V.V.; Yegorova, I.A. Barium and yttrium abundance in intermediate-age and old open clusters. Mon. Not. R. Astron. Soc. 2013, 433, 1436–1443. [Google Scholar] [CrossRef] [Green Version]
  42. Sales-Silva, J.V.; Daflon, S.; Cunha, K.; Souto, D.; Smith, V.V.; Chiappini, C.; Donor, J.; Frinchaboy, P.M.; García-Hernández, D.A.; Hayes, C.; et al. Exploring the s-process history in the Galactic disk: Cerium abundances and gradients in Open Clusters from the OCCAM/APOGEE sample. arXiv 2021, arXiv:2112.02196. [Google Scholar]
  43. Nissen, P.E.; Silva Aguirre, V.; Christensen-Dalsgaard, J.; Collet, R.; Grundahl, F.; Slumstrup, D. High-precision abundances of elements in Kepler LEGACY stars. Verification of trends with stellar age. Astron. Astrophys. 2017, 608, A112. [Google Scholar] [CrossRef] [Green Version]
  44. Baratella, M.; D’Orazi, V.; Sheminova, V.; Spina, L.; Carraro, G.; Gratton, R.; Magrini, L.; Randich, S.; Lugaro, M.; Pignatari, M.; et al. The Gaia-ESO Survey: A new approach to chemically characterising young open clusters. II. Abundances of the neutron-capture elements Cu, Sr, Y, Zr, Ba, La, and Ce. Astron. Astrophys. 2021, 653, A67. [Google Scholar] [CrossRef]
  45. Busso, M.; Wasserburg, G.J.; Nollett, K.M.; Calandra, A. Can Extra Mixing in RGB and AGB Stars Be Attributed to Magnetic Mechanisms? Astrophys. J. 2007, 671, 802–810. [Google Scholar] [CrossRef] [Green Version]
  46. Nordhaus, J.; Busso, M.; Wasserburg, G.J.; Blackman, E.G.; Palmerini, S. Magnetic Mixing in Red Giant and Asymptotic Giant Branch Stars. Astrophys. J. Lett. 2008, 684, L29. [Google Scholar] [CrossRef] [Green Version]
  47. Nucci, M.C.; Busso, M. Magnetohydrodynamics and Deep Mixing in Evolved Stars. I. Two- and Three-dimensional Analytical Models for the Asymptotic Giant Branch. Astrophys. J. 2014, 787, 141. [Google Scholar] [CrossRef] [Green Version]
  48. Trippella, O.; Busso, M.; Maiorca, E.; Käppeler, F.; Palmerini, S. s-Processing in AGB Stars Revisited. I. Does the Main Component Constrain the Neutron Source in the 13C Pocket? Astrophys. J. 2014, 787, 41. [Google Scholar] [CrossRef] [Green Version]
  49. Vescovi, D.; Busso, M.; Palmerini, S.; Trippella, O.; Cristallo, S.; Piersanti, L.; Chieffi, A.; Limongi, M.; Hoppe, P.; Kratz, K.L. On the Origin of Early Solar System Radioactivities: Problems with the Asymptotic Giant Branch and Massive Star Scenarios. Astrophys. J. 2018, 863, 115. [Google Scholar] [CrossRef]
  50. Vescovi, D.; Cristallo, S.; Palmerini, S.; Abia, C.; Busso, M. Magnetic-buoyancy-induced mixing in AGB stars: Fluorine nucleosynthesis at different metallicities. Astron. Astrophys. 2021, 652, A100. [Google Scholar] [CrossRef]
  51. Palmerini, S.; Trippella, O.; Busso, M. A deep mixing solution to the aluminum and oxygen isotope puzzles in pre-solar grains. Mon. Not. R. Astron. Soc. 2017, 467, 1193–1201. [Google Scholar] [CrossRef] [Green Version]
  52. Vescovi, D.; Cristallo, S.; Busso, M.; Liu, N. Magnetic-buoyancy-induced Mixing in AGB Stars: Presolar SiC Grains. Astrophys. J. Lett. 2020, 897, L25. [Google Scholar] [CrossRef]
  53. Palmerini, S.; Cristallo, S.; Busso, M.; La Cognata, M.; Sergi, M.L.; Vescovi, D. Low mass stars or intermediate mass stars? The stellar origin of presolar oxide grains revealed by their isotopic composition. Front. Astron. Space Sci. 2021, 7, 103. [Google Scholar] [CrossRef]
  54. Cristallo, S.; Straniero, O.; Piersanti, L.; Gobrecht, D. Evolution, Nucleosynthesis, and Yields of AGB Stars at Different Metallicities. III. Intermediate-mass Models, Revised Low-mass Models, and the ph-FRUITY Interface. Astrophys. J. Suppl. Ser. 2015, 219, 40. [Google Scholar] [CrossRef]
  55. Battino, U.; Tattersall, A.; Lederer-Woods, C.; Herwig, F.; Denissenkov, P.; Hirschi, R.; Trappitsch, R.; den Hartogh, J.W.; Pignatari, M.; NuGrid Collaboration. NuGrid stellar data set-III. Updated low-mass AGB models and s-process nucleosynthesis with metallicities Z = 0.01, Z = 0.02, and Z = 0.03. Mon. Not. R. Astron. Soc. 2019, 489, 1082–1098. [Google Scholar] [CrossRef]
  56. Reddy, A.B.S.; Giridhar, S.; Lambert, D.L. Galactic chemical evolution and chemical tagging with open clusters. J. Astrophys. Astron. 2020, 41, 38. [Google Scholar] [CrossRef]
  57. Zhang, H.; Chen, Y.; Zhao, G. Radial Migration from the Metallicity Gradient of Open Clusters and Outliers. Astrophys. J. 2021, 919, 52. [Google Scholar] [CrossRef]
  58. Spina, L.; Ting, Y.S.; De Silva, G.M.; Frankel, N.; Sharma, S.; Cantat-Gaudin, T.; Joyce, M.; Stello, D.; Karakas, A.I.; Asplund, M.B.; et al. The GALAH survey: Tracing the Galactic disc with open clusters. Mon. Not. R. Astron. Soc. 2021, 503, 3279–3296. [Google Scholar] [CrossRef]
  59. Nissen, P.E. High-precision abundances of Sc, Mn, Cu, and Ba in solar twins. Trends of element ratios with stellar age. Astron. Astrophys. 2016, 593, A65. [Google Scholar] [CrossRef]
  60. Delgado Mena, E.; Tsantaki, M.; Adibekyan, V.Z.; Sousa, S.G.; Santos, N.C.; González Hernández, J.I.; Israelian, G. Chemical abundances of 1111 FGK stars from the HARPS GTO planet search program. II. Cu, Zn, Sr, Y, Zr, Ba, Ce, Nd, and Eu. Astron. Astrophys. 2017, 606, A94. [Google Scholar] [CrossRef] [Green Version]
  61. Casamiquela, L.; Soubiran, C.; Jofré, P.; Chiappini, C.; Lagarde, N.; Tarricq, Y.; Carrera, R.; Jordi, C.; Balaguer-Núñez, L.; Carbajo-Hijarrubia, J.; et al. Abundance-age relations with red clump stars in open clusters. Astron. Astrophys. 2021, 652, A25. [Google Scholar] [CrossRef]
  62. Magrini, L.; Vescovi, D.; Casali, G.; Cristallo, S.; Viscasillas Vázquez, C.; Cescutti, G.; Spina, L.; Van Der Swaelmen, M.; Randich, S. Magnetic-buoyancy-induced mixing in AGB stars: A theoretical explanation of the non-universal relation of [Y/Mg] to age. Astron. Astrophys. 2021, 646, L2. [Google Scholar] [CrossRef]
  63. Gaia Collaboration; Prusti, T.; de Bruijne, J.H.J.; Brown, A.G.A.; Vallenari, A.; Babusiaux, C.; Bailer-Jones, C.A.L.; Bastian, U.; Biermann, M.; Evans, D.W.; et al. The Gaia mission. Astron. Astrophys. 2016, 595, A1. [Google Scholar] [CrossRef] [Green Version]
  64. Gaia Collaboration; Brown, A.G.A.; Vallenari, A.; Prusti, T.; de Bruijne, J.H.J.; Babusiaux, C.; Bailer-Jones, C.A.L.; Biermann, M.; Evans, D.W.; Eyer, L.; et al. Gaia Data Release 2. Summary of the contents and survey properties. Astron. Astrophys. 2018, 616, A1. [Google Scholar] [CrossRef] [Green Version]
  65. Gaia Collaboration; Brown, A.G.A.; Vallenari, A.; Prusti, T.; de Bruijne, J.H.J.; Babusiaux, C.; Biermann, M.; Creevey, O.L.; Evans, D.W.; Eyer, L.; et al. Gaia Early Data Release 3. Summary of the contents and survey properties. Astron. Astrophys. 2021, 649, A1. [Google Scholar] [CrossRef]
  66. Spina, L.; Meléndez, J.; Karakas, A.I.; Ramírez, I.; Monroe, T.R.; Asplund, M.; Yong, D. Nucleosynthetic history of elements in the Galactic disk. [X/Fe]-age relations from high-precision spectroscopy. Astron. Astrophys. 2016, 593, A125. [Google Scholar] [CrossRef] [Green Version]
  67. Jofré, P.; Jackson, H.; Tucci Maia, M. Traits for chemical evolution in solar twins. Trends of neutron-capture elements with stellar age. Astron. Astrophys. 2020, 633, L9. [Google Scholar] [CrossRef] [Green Version]
  68. Casali, G.; Magrini, L.; Tognelli, E.; Jackson, R.; Jeffries, R.D.; Lagarde, N.; Tautvaišienė, G.; Masseron, T.; Degl’Innocenti, S.; Prada Moroni, P.G.; et al. The Gaia-ESO survey: Calibrating a relationship between age and the [C/N] abundance ratio with open clusters. Astron. Astrophys. 2019, 629, A62. [Google Scholar] [CrossRef] [Green Version]
  69. Tucci Maia, M.; Ramírez, I.; Meléndez, J.; Bedell, M.; Bean, J.L.; Asplund, M. The Solar Twin Planet Search. III. The [Y/Mg] clock: Estimating stellar ages of solar-type stars. Astron. Astrophys. 2016, 590, A32. [Google Scholar] [CrossRef]
  70. Slumstrup, D.; Grundahl, F.; Brogaard, K.; Thygesen, A.O.; Nissen, P.E.; Jessen-Hansen, J.; Van Eylen, V.; Pedersen, M.G. The [Y/Mg] clock works for evolved solar metallicity stars. Astron. Astrophys. 2017, 604, L8. [Google Scholar] [CrossRef] [Green Version]
  71. Feltzing, S.; Howes, L.M.; McMillan, P.J.; Stonkutė, E. On the metallicity dependence of the [Y/Mg]-age relation for solar-type stars. Mon. Not. R. Astron. Soc. 2017, 465, L109–L113. [Google Scholar] [CrossRef]
  72. Titarenko, A.; Recio-Blanco, A.; de Laverny, P.; Hayden, M.; Guiglion, G. The AMBRE Project: [Y/Mg] stellar dating calibration with Gaia. Astron. Astrophys. 2019, 622, A59. [Google Scholar] [CrossRef]
  73. Nissen, P.E.; Christensen-Dalsgaard, J.; Mosumgaard, J.R.; Silva Aguirre, V.; Spitoni, E.; Verma, K. High-precision abundances of elements in solar-type stars. Evidence of two distinct sequences in abundance-age relations. Astron. Astrophys. 2020, 640, A81. [Google Scholar] [CrossRef]
  74. Tautvaišienė, G.; Viscasillas Vázquez, C.; Mikolaitis, Š.; Stonkutė, E.; Minkevičiūtė, R.; Drazdauskas, A.; Bagdonas, V. Abundances of neutron-capture elements in thin- and thick-disc stars in the solar neighbourhood. Astron. Astrophys. 2021, 649, A126. [Google Scholar] [CrossRef]
  75. Minchev, I.; Famaey, B. A New Mechanism for Radial Migration in Galactic Disks: Spiral-Bar Resonance Overlap. Astrophys. J. 2010, 722, 112–121. [Google Scholar] [CrossRef] [Green Version]
  76. Minchev, I.; Famaey, B.; Quillen, A.C.; Di Matteo, P.; Combes, F.; Vlajić, M.; Erwin, P.; Bland-Hawthorn, J. Evolution of galactic discs: Multiple patterns, radial migration, and disc outskirts. Astron. Astrophys. 2012, 548, A126. [Google Scholar] [CrossRef]
  77. Wang, Y.; Zhao, G. The Influence of Radial Stellar Migration on the Chemical Evolution of the Milky Way. Astrophys. J. 2013, 769, 4. [Google Scholar] [CrossRef] [Green Version]
  78. Vera-Ciro, C.; D’Onghia, E.; Navarro, J.; Abadi, M. The Effect of Radial Migration on Galactic Disks. Astrophys. J. 2014, 794, 173. [Google Scholar] [CrossRef] [Green Version]
  79. Frankel, N.; Rix, H.W.; Ting, Y.S.; Ness, M.; Hogg, D.W. Measuring Radial Orbit Migration in the Galactic Disk. Astrophys. J. 2018, 865, 96. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Abundance ratios [El/Fe] vs. age for the thin-disc stars (binned results, bin 0.1 dex wide–cyan squares, and individual stars–grey squares) and the open clusters located in the solar neighbourhood (green circles). The magenta dashed lines are the weighted linear fits to the cumulative sample of solar neighbourhood clusters and thin-disc field stars for stellar ages <8 Gyr (figure adapted from [29]).
Figure 1. Abundance ratios [El/Fe] vs. age for the thin-disc stars (binned results, bin 0.1 dex wide–cyan squares, and individual stars–grey squares) and the open clusters located in the solar neighbourhood (green circles). The magenta dashed lines are the weighted linear fits to the cumulative sample of solar neighbourhood clusters and thin-disc field stars for stellar ages <8 Gyr (figure adapted from [29]).
Universe 08 00064 g001
Figure 2. [El/Fe] versus age for the elements of the first peak (Y and Zr, upper panels), of the second peak (Ba, La, Ce, central panels), and average of first and second peak (bottom panels) in three Galactocentric bins (outer disc, R GC > 9 kpc; solar neighbdourhood 7 R GC 9 kpc; inner disc, R GC < 9 kpc). The curves are the weighted linear fits to the data. The data of individual clusters are shown in transparency in each panel.
Figure 2. [El/Fe] versus age for the elements of the first peak (Y and Zr, upper panels), of the second peak (Ba, La, Ce, central panels), and average of first and second peak (bottom panels) in three Galactocentric bins (outer disc, R GC > 9 kpc; solar neighbdourhood 7 R GC 9 kpc; inner disc, R GC < 9 kpc). The curves are the weighted linear fits to the data. The data of individual clusters are shown in transparency in each panel.
Universe 08 00064 g002
Figure 3. [s/ α ] versus age in three Galactocentric bins (outer disc in pink, R GC > 9 kpc; solar neighbourhood in green, 7 R GC 9 kpc; inner disc in blue, R GC < 9 kpc). The curves are the weighted linear fits to the data. In the left-hand panel we show [Y/Mg] versus ages, and in the right-hand panel [Ba/Mg] versus age. The data of individual clusters (abundance ratios are the mean values of the clusters members, while ages are from Cantat-Gaudin et al. [13], derived from Gaia dr2 data) are represented by filled circles, in the same colours as the corresponding fits. The shaded areas indicate the confidence intervals of the fits.
Figure 3. [s/ α ] versus age in three Galactocentric bins (outer disc in pink, R GC > 9 kpc; solar neighbourhood in green, 7 R GC 9 kpc; inner disc in blue, R GC < 9 kpc). The curves are the weighted linear fits to the data. In the left-hand panel we show [Y/Mg] versus ages, and in the right-hand panel [Ba/Mg] versus age. The data of individual clusters (abundance ratios are the mean values of the clusters members, while ages are from Cantat-Gaudin et al. [13], derived from Gaia dr2 data) are represented by filled circles, in the same colours as the corresponding fits. The shaded areas indicate the confidence intervals of the fits.
Universe 08 00064 g003
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Magrini, L.; Vázquez, C.V.; Casali, G.; Baratella, M.; D’Orazi, V.; Spina, L.; Randich, S.; Cristallo, S.; Vescovi, D. The Abundance of S-Process Elements: Temporal and Spatial Trends from Open Cluster Observations. Universe 2022, 8, 64. https://doi.org/10.3390/universe8020064

AMA Style

Magrini L, Vázquez CV, Casali G, Baratella M, D’Orazi V, Spina L, Randich S, Cristallo S, Vescovi D. The Abundance of S-Process Elements: Temporal and Spatial Trends from Open Cluster Observations. Universe. 2022; 8(2):64. https://doi.org/10.3390/universe8020064

Chicago/Turabian Style

Magrini, Laura, Carlos Viscasillas Vázquez, Giada Casali, Martina Baratella, Valentina D’Orazi, Lorenzo Spina, Sofia Randich, Sergio Cristallo, and Diego Vescovi. 2022. "The Abundance of S-Process Elements: Temporal and Spatial Trends from Open Cluster Observations" Universe 8, no. 2: 64. https://doi.org/10.3390/universe8020064

APA Style

Magrini, L., Vázquez, C. V., Casali, G., Baratella, M., D’Orazi, V., Spina, L., Randich, S., Cristallo, S., & Vescovi, D. (2022). The Abundance of S-Process Elements: Temporal and Spatial Trends from Open Cluster Observations. Universe, 8(2), 64. https://doi.org/10.3390/universe8020064

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop