Open Access
Issue
A&A
Volume 678, October 2023
Article Number A202
Number of page(s) 12
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202347028
Published online 24 October 2023

© The Authors 2023

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.

This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.

1. Introduction

A large number of disc galaxies display an elongated structure, known as a bar, in different redshifts. The fraction of barred galaxies increases over time (e.g. Sheth et al. 2008; Melvin et al. 2014) and, for the Local Universe, it reaches values of 30 − 70%, depending on mass cut and detection methods (e.g. Eskridge et al. 2000; Menéndez-Delmestre et al. 2007; Barazza et al. 2008; Aguerri et al. 2009; Nair & Abraham 2010; Masters et al. 2011; Buta et al. 2015; Erwin 2018).

The presence of the bar is an indication that the host galaxy is dynamically ‘settled’, that is to say that the disc is self-gravitating, with differential rotation, and rotationally supported with relatively low-velocity dispersion (e.g. Kraljic et al. 2012, and references therein). Additionally, the host galaxy is undergoing secular evolutionary processes driven by the bar. Among different aspects, bars are responsible for the redistribution of angular momentum (e.g. Lynden-Bell & Kalnajs 1972; Combes & Gerin 1985; Athanassoula 2003; Sheth et al. 2005; Di Matteo et al. 2013; Halle et al. 2015; Fragkoudi et al. 2017) and the creation of central substructures such as nuclear discs (e.g. Athanassoula 1992a,b, 2005; Munoz-Tunón et al. 2004; Coelho & Gadotti 2011; Ellison et al. 2011; Cole et al. 2014; Emsellem et al. 2015; Fragkoudi et al. 2016; Seo et al. 2019; Gadotti et al. 2020; Baba & Kawata 2020), often referred to as ‘pseudo-bulges’. More precisely, the non-axisymmetric potential of the bar causes the gas in the main disc to shock and lose angular momentum, funnelling inwards. The gas is halted in the central region of the galaxy with high rotational velocities, where it forms stars and gives rise to nuclear rings and/or discs. Nevertheless, Cameron et al. (2010) showed that 19% of nuclear discs can be found in bar-less galaxies, suggesting that other formation mechanisms for these structures are also possible, such as gas inflows due to spiral arms or tidal interactions. One other possibility to explain nuclear discs in bar-less galaxies is the eventual destruction of the bar that primarily formed the nuclear structure. In fact, some early simulations that have accounted for gas dynamics, such as Bournaud et al. (2005), found that bars could be recurrent structures. That is to say, they could be destroyed and renewed multiple times. However, more recent works predominantly find that bars are in fact long-lived structures in the absence of a major merger (e.g. Kraljic et al. 2012; Gadotti et al. 2015; Pérez et al. 2017; de Lorenzo-Cáceres et al. 2019; Rosas-Guevara et al. 2020; Fragkoudi et al. 2020, 2021; de Sá-Freitas et al. 2023). In conclusion, once the galaxy presents a non-axisymmetric potential – most likely due to the presence of the bar – its nuclear structures are formed by gas inflows.

Many galaxies in the Local Universe, including the Milky Way (e.g. Sormani et al. 2020, 2022), host nuclear discs and/or rings (e.g. Comerón et al. 2010; Sheth et al. 2010; Gadotti et al. 2015; Erwin et al. 2015), which can vary in properties such as size, star formation rate (SFR), and gas and dust content. Considering an SDSS sample of ∼1000 galaxies and performing 2D image decompositions, Gadotti (2009) found that 32% of disc galaxies with photometric bulges actually host a nuclear disc. The Atlas of Images of NUclear Rings (AINUR, Comerón et al. 2010) shows that 20% of the disc galaxies in the Local Universe host a star-forming nuclear ring. The Time Inference with MUSE in Extragalactic Rings survey (TIMER, Gadotti et al. 2019) finds that for a sample of 21 massive, strongly barred galaxies, morphologically selected as hosting nuclear rings, at least 19 clearly host a rapidly rotating nuclear disc. Nevertheless, it is not clear how common these structures are for different morphologies, masses, and redshifts, and how accurate the different detection methods are.

Nuclear discs, also referred to as ‘pseudo-bulges’ in the past (e.g. Kormendy & Kennicutt 2004), can be differentiated from ‘classical bulges’ by using photometry since they display exponential surface density profiles, characteristic of discs (e.g. Gadotti et al. 2020, and references therein). For that reason, they also have been called a ‘discy-bulge’ among other nomers, to differentiate these structures from classical dynamically hot bulges (Athanassoula 2005). Even though these structures can be identified through photometry, results from the TIMER survey (Gadotti et al. 2019, 2020) support the notion that the chances of misclassification of nuclear discs can be high when the physical spatial resolution is not suitable; thus, the best way to find and characterise these structures is through high spatial resolution integral field spectroscopy, with the derivation of the spatial distributions of stellar kinematics and population properties. In agreement, Méndez-Abreu et al. (2018) found no correlation between photometric and kinematic properties of bulges in a sample of 28 lenticular galaxies from the Calar Alto Legacy Integral Field Area survey (CALIFA, Sánchez et al. 2012).

By carefully measuring the kinematic properties of nuclear discs, Gadotti et al. (2020) found that the nuclear disc kinematic size is well correlated with the bar length, (in qualitative accordance with Shlosman et al. 1989; Knapen 2005; Comerón et al. 2010), where longer bars tend to host larger nuclear discs. The kinematic size is defined by the place in which the radial profile of stellar velocity over velocity dispersion (V/σ) is at a maximum. Additionally, some recent simulations suggest that as the bar grows longer, the nuclear disc also increases in size (e.g. Seo et al. 2019). This indicates a possible co-evolution between the bar and the nuclear disc. This co-evolution can be explained by the place in which the gas stops moving inwards and forms the nuclear disc. Even though the exact location in which it happens is unclear, some works suggest it can be associated with bar properties – either directly or indirectly. Early work indicates that the gas moving inwards stops at the Inner Linbald Resonance (ILR) and forms the nuclear disc (e.g. Athanassoula 1992a,b). As the bar grows and evolves, the ILR moves outwards, building the nuclear disc inside-out. On the other hand, some works have suggested that the nuclear disc size is related to the residual angular momentum of the original gas (e.g. Kim et al. 2012; Seo et al. 2019). As the bar grows longer, it reaches the outer regions of the galaxy, where the gas has a higher angular momentum. In this scenario, gas brought inwards from the outer parts of the galaxies would have higher residual angular momentum and stop funnelling inwards earlier, also building the nuclear disc inside-out. In both scenarios described above, we would expect the nuclear disc evolution to be linked with the bar evolution, where the nuclear disc is built inside-out (e.g. Bittner et al. 2020; de Sá-Freitas et al. 2023). However, it remains unclear if bars grow with time and if the co-evolution with nuclear discs is real since nuclear discs can also grow independently of the bar (e.g. Athanassoula 1992c). Lastly, different works suggest that nuclear rings are the outer rim of the nuclear disc, which is currently forming stars (e.g. Cole et al. 2014; Bittner et al. 2020). Gadotti et al. (2020) and Bittner et al. (2020) demonstrated that nuclear discs and nuclear rings have the same kinematic properties and should not be differentiated.

Considering the inside-out growth scenario for the nuclear discs, we would expect them to start small and increase in size over time (e.g. Seo et al. 2019; Bittner et al. 2020; de Sá-Freitas et al. 2023). Additionally, since the nuclear disc size could be linked to bar properties, we can expect that recently-formed and small bars host small nuclear discs. If bars grow and if the co-evolution between them and nuclear discs is real, as the bar grows longer, the nuclear disc should grow as well. In fact, Seo et al. (2019) find for a Milky-Way-like simulated galaxy that the nuclear disc can form as small as 40 pc and grow over time.

Even though stellar nuclear discs with sizes of a few dozen parsecs have been found in early-type galaxies (e.g. Ledo et al. 2010; Sarzi et al. 2016; Corsini et al. 2016), the smallest kinematically confirmed nuclear discs reported so far tend to be larger than ∼200 pc (e.g. Gadotti et al. 2020). Additionally, the few galaxies with measured bar ages are older than 7 Gyr (e.g. Gadotti et al. 2015; Pérez et al. 2017; de Lorenzo-Cáceres et al. 2019; de Sá-Freitas et al. 2023). It is therefore unclear whether nuclear discs form with typical sizes of ∼200 pc or whether they can form with smaller sizes and grow over time. It is also unclear whether most barred galaxies will have old bars or whether disc galaxies may still remain in the process of forming their stellar bars. Using MUSE ESO archival data1, we aim to start answering these questions by reporting the discovery of the smallest kinematically confirmed nuclear discs to date, to the best of our knowledge, together with a characterisation of their properties. Moreover, we follow the methodology presented in de Sá-Freitas et al. (2023) to estimate bar ages and investigate the properties of the bars hosting such small nuclear discs.

The structure of this paper is organised as follows: In Sect. 2, we describe the data and the characteristics of the galaxies in our study, NGC 289 and NGC 1566. In Sect. 3, we describe the expected characteristics of nuclear discs formed by bars and how we can estimate the bar formation epoch considering the star formation histories (SFHs) of bar-built structures. In Sect. 4, we present our results on the presence of small nuclear discs on both galaxies, with radius sizes below 100 pc, and what are the respectively estimated bar ages. In Sect. 5, we discuss the implications of our findings on galaxy secular evolution and the formation and evolution of nuclear discs and their host bars. We summarise our work in Sect. 6.

2. Sample and data description

In this section, we describe the galaxies hosting these small nuclear discs, NGC 289 and NGC 1566, together with the data description and observing programme details.

NGC 289 is a weak barred spiral galaxy (T-type 4 – Sheth et al. 2010) with the presence of rings (e.g. de Vaucouleurs et al. 1991; Muñoz-Mateos et al. 2013; Buta et al. 2015), with stellar mass measurements varying between 3.2 × 1010M (López-Cobá et al. 2022) and 4 × 1010M (Sheth et al. 2010; Muñoz-Mateos et al. 2015) and an inclination of 43°2. Considering the redshift-independent distance measurements distribution from the NASA/IPAC Extragalactic Database (NED3), we derive a median distance of 18 Mpc. At that distance, the measured deprojected bar size of 18.4 ± 0.4″ from Muñoz-Mateos et al. (2013) corresponds to 1.62 ± 0.35 kpc. Lastly, NGC 289 has an interacting companion, the dwarf galaxy Arp 1981 (e.g. Bendo & Joseph 2004). We used ESO archive data1 from the MUSE Atlas of Disks programme (MAD – Erroz-Ferrer et al. 2019), PI: Carollo, M. C., programme ID 096.B-0309, using the MUSE Wide Field Mode. The galaxy was observed on 15 October 2015, for a total integration time of 2400 s, with a point spread function (PSF) with full width at half-maximum (FWHM) of 0.6″. More details regarding the galaxy, observation, and calibration can be found in Erroz-Ferrer et al. (2019).

NGC 1566 is classified as a weakly barred galaxy (T-type 4 – Sheth et al. 2010; de Vaucouleurs et al. 1991), with rings (both nuclear and outer) and spiral arms. The galaxy has stellar mass measurements between 3.8 × 1010M (Sheth et al. 2010; Muñoz-Mateos et al. 2015) and 6 × 1010M (Leroy et al. 2021), with an inclination of 32° (Salo et al. 2015), and it is at a median distance2 of 7.3 Mpc. At that distance, the measured deprojected bar size of 40.5 ± 2.5″ from Muñoz-Mateos et al. (2013) corresponds to 1.4 ± 0.1 kpc. Lastly, NGC 1566 belongs to the Dorado group and has a dwarf elliptical companion, NGC 1581 (e.g. Kendall et al. 2015). We used ESO archive data1 from the MAD programme (Erroz-Ferrer et al. 2019), PI: Carollo, M. C., programme ID 0100.B-0116, using the MUSE Wide Field Mode with adaptive optics. The galaxy was observed on the 23rd of October 2017, for a total integration time of 3600 s, with a PSF FWHM of 1.0″. More details regarding the galaxy, observation, and calibration can be found in Erroz-Ferrer et al. (2019).

3. Analysis and methodology

3.1. Finding nuclear discs

We expect most of the nuclear discs to form by gas infall due to the onset of a non-axisymmetric potential, such as the one produced by stellar bars. Within this scenario, there are common properties that we can expect nuclear discs to present.

Firstly, the stars formed by the gas will form the stellar nuclear disc, which will present higher rotational velocities than the stars already present in the central region of the galaxy. In addition, since the nuclear disc is a rotationally supported structure, we expect low values of velocity dispersion. Once the nuclear disc forms, we have at least two co-existing structures: a cold, rapidly rotating system (the nuclear disc) and a more slowly rotating system of stars that were already present (the main disc). Considering they had different formation histories, epochs, and timescales, each structure rotates independently; that is, they each have different dynamical properties. Since the light from the nuclear region carries information about both these structures, the absorption lines will not be perfect Gaussians, but will indeed display deviations. We can measure these deviations considering the Gaussian-Hermite higher-order moments h3 and h4 (Van Der Marel & Franx 1993), which measure asymmetric and symmetric deviations, respectively. A negative h3 indicates an excess of stars rotating more slowly than the average system velocity, while a positive h3 indicates the opposite, namely, an excess of stars rotating faster than the average velocity. This explains why in the presence of a fast-rotating nuclear disc, there is an anti-correlation between stellar velocity and h3: the region in which the nuclear disc is fast approaching the observer (blue-shifted velocities), there is also the main disc approaching us slower, hence, giving negatives values of h3. The opposite is also true. On the other hand, a positive h4 indicates the presence of two rotating systems with different velocity dispersion, generating a pointy Gaussian distribution. For more details about the Gaussian-Hermite higher-order moments, we refer to Fig. 3 on Gadotti & de Souza (2005). In summary, the expected kinematic properties for the presence of a nuclear disc are (i) an increase in rotational stellar velocity, which is the line-of-sight velocity corrected for inclination, (ii) a drop in stellar velocity dispersion, (iii) an anti-correlation between stellar velocity and h3, and (iv) an increase in h4 (e.g. Gadotti et al. 2020).

The same formation scenario also predicts the mean stellar population characteristics. Since the nuclear disc is formed by a gas inflow that only takes place once the bar potential is in place, its stars are expected to be younger than the stars from the main disc in the same region. Additionally, the gas brought inwards by the bar is likely to be already metal-enriched when forming the stars of the nuclear disc. Hence, the metallicity ([M/H]) of the nuclear disc is expected to increase and be higher than the surroundings. Nevertheless, depending on the metallicity gradient of the galaxy, the origin of the gas, and the SFH of the nuclear disc, we can find different metallicity behaviours within the nuclear disc (e.g. Bittner et al. 2020). Lastly, since the nuclear disc evolution is due to long secular evolution processes, it is built up gradually through continuous star formation. As a result, depending on the strength of ongoing star formation, we expect the nuclear disc to present lower α-enhancement values ([α/Fe]) than the surroundings – at least for most nuclear discs. In summary, among the stellar population properties we expect the nuclear disc to present when compared to its surroundings are (v) younger median stellar ages, (vi) higher [M/H], and (vii) lower [α/Fe] (e.g. Cole et al. 2014; Bittner et al. 2020). Hence, to unmistakably identify the presence of nuclear discs in galaxies and their origin, we have to derive the kinematic and stellar population properties from data cubes.

To derive the kinematic and stellar population properties of the galaxies in our sample, we used the Galaxy IFU Spectroscopy Tool (GIST, Bittner et al. 2019), which is a module-based pipeline that allows us to derive physical properties from fully reduced data cubes. To maintain consistency with previous works, we followed the analysis described in Gadotti et al. (2020), Bittner et al. (2020), and de Sá-Freitas et al. (2023), in two independent runs.

In the first run, we aimed to derive the kinematic properties of the galaxy. Firstly, GIST employs an unregularised run of pPXF (Cappellari & Emsellem 2004; Cappellari 2012), considering the wavelength range between 4800 − 8950 Å. The data were binned following the Voronoi binning procedure (Cappellari & Copin 2003) to achieve a signal-to-noise ratio (S/N) of 40. Additionally, we included a low-order multiplicative Legendre polynomial to account for differences between the observed spectra and the shape of the continuum templates. From this run, we retrieved spatial maps of stellar velocity, stellar velocity dispersion, h3, and h4.

In the second run, we aimed to derive the stellar population properties of the galaxy. We repeated the first step of the unregularised pPXF run, but considering a wavelength range of 4800 − 5800 Å and Voronoi-binning our sample to achieve a S/N of 100. This choice is due to the fact that a higher S/N is more reliable when it comes to retrieving stellar population properties and avoiding spurious results between adjacent bins, as demonstrated in Bittner et al. (2020). GIST employs pyGandALF, which is a python version of the Gas and Absorption Line Fitting (gandALF, Sarzi et al. 2006; Falcón-Barroso et al. 2006). This step consists of modelling and removing the emission lines as Gaussians, resulting in the emission-subtracted spectra. In the last step, GIST employs a regularised run of pPXF in the emission-subtracted spectra, fitting different templates of stellar populations and enabling us to derive mean properties. We considered the MILES simple stellar population models library (Vazdekis et al. 2015), with [M/H] values between −1 and +0.4, ages between 0.03 and 14 Gyr, and [α/Fe] enhancements of +0.0 and +0.4. We normalised the MILES templates for each mean flux, deriving light-weighted properties. In addition, since both metallicity and velocity dispersion can be responsible for broadening the absorption lines (e.g. Sanchez-Blazquez et al. 2011), we fixed the stellar kinematics from the unregularised pPXF run. Lastly, we used the regularisation error value of 0.15 (Bittner et al. 2020) and applied an eighth-order multiplicative Legendre polynomial to account for possible extinction and continuum mismatches between the templates and the observed spectra. From the second run, we retrieved spatial maps of light-weighted mean values of stellar age, [M/H], and [α/Fe]. Lastly, we note that for that specific wavelength, the dominant α element is magnesium (Mg) and we refer to it in our analysis.

3.2. Estimating bar ages using nuclear discs

Numerical simulations have shown that when a bar forms, a nuclear disc forms within 108 yr, which is relatively short compared to the bar lifetime (of the order of a few 109 yr – Athanassoula 1992a,b; Emsellem et al. 2015; Seo et al. 2019; Baba & Kawata 2020). Considering that it is possible to derive the bar formation epoch measuring the ages of the stars in the nuclear disc. However, deriving such properties is not a trivial task, since the observed light from the nuclear disc also carries entangled information from stars that were already present when it formed, that is, the main disc. With that in mind, we developed a methodology to disentangle the independent information from the nuclear disc and the main disc and, subsequently, to estimate the time of the bar formation. For more details on the methodology, we refer to de Sá-Freitas et al. (2023). In the following, we briefly summarise the different steps of the method. First, we convolved and shifted all spectra in the data cube, ensuring the same velocity dispersion and velocity zero for all spaxels. Second, we masked all spaxels classified as AGN using the BPT classification with amplitude over noise (AON) above 20 (Baldwin et al. 1981). Third, we selected a ring region around the nuclear disc to derive the spectrum of the underlying main disc (hereafter designated the ‘representative ring or spectrum’) for this sample of small nuclear discs, we placed the representative ring region at 1.2″ from the nuclear disc radius. Fourth, using the representative spectrum and assuming an exponential light profile, we modelled the main disc data cube, using disc scale-lengths values derived in Salo et al. (2015). Fifth, we subtracted the main disc from the original data cube – shifted to velocity zero and convolved to maximum velocity dispersion – and considered the difference as the light from the nuclear disc isolated; as an extra step, we collapsed each data cube into a average spectrum. Lastly, we employed GIST as described in Sect. 3.1 for the second run, deriving mean stellar populations for each collapsed spectrum (MUSE original, main disc, and nuclear disc).

During the fit of the emission-subtracted spectra, pPXF estimates different weights for different simple stellar populations (SSPs), differing in age, [M/H], and [α/Fe]. These weights represent the fraction of the light due to the different SSPs. Considering the different weights for different SSPs, we are able to build light-weighted non-parametric SFHs for each collapsed spectrum (MUSE original, nuclear disc, and main disc). Finally, to convert the SFHs from light- to mass-weighted, we applied the mass-to-light ratios4 predictions from the MILES models (Vazdekis et al. 2015), considering the BaSTI isochrones (Pietrinferni et al. 2004, 2006, 2009, 2013), converting luminosity into mass. The mentioned mass-to-light ratios assume a Kroupa revised IMF (Kroupa 2001) with [α/Fe] enhancements of +0.0 and +0.4. Additionally, the ratios account for both stellar and remnants masses and depend on age, [M/H], and [α/Fe] measurements that best describe the observed spectra. As a result, we are able to derive independent mass-weighted SFHs for the nuclear disc and main disc.

Finally, we considered that shortly after the bar forms, the stellar mass built up by the nuclear disc increases above the stellar mass built up by the main disc; therefore, the ratio between the nuclear disc and the main disc rises above 1, with a positive slope towards younger ages. This effect takes into account the possibility of having residuals of old stellar populations in the nuclear disc, which is expected since the representative spectrum might not be as old as the underlying main disc. For more details on some of the tests carried out to test our methodology, as well as its caveats, we refer to de Sá-Freitas et al. (2023).

4. Results

4.1. Evidence of small nuclear discs

In this section, we describe our findings on the presence of nuclear discs on NGC 289 and NGC 1566. Figures 1 and 2 display, for each galaxy, the object coloured-image from the Carnegie-Irvine Galaxy Survey (CGS, Ho et al. 2011), the MUSE field of view, and the spatial maps of the kinematic and stellar population properties. The individual analyses and further discussion are given below.

thumbnail Fig. 1.

NGC 289 data and derived maps. On the left, we display the colour composites of NGC 289 from the Carnegie-Irvine Galaxy Survey (CGS, Ho et al. 2011) together with the black and white image from MUSE ESO archival data (MAD, Erroz-Ferrer et al. 2019). We highlight the central region from which we derive the kinematic and stellar population maps. On the right, we display the seven spatial maps with derived kinematic and stellar population properties: stellar velocity (Vstars), stellar velocity dispersion (σstars), the Gauss-Hermite higher-order moments, h3 and h4 (Van Der Marel & Franx 1993), mean age, metallicity ([M/H]), and α elements enhancement ([α/Fe]). Together with the spatial maps, we display the limit of the nuclear disc in a black solid ellipse. We find a nuclear disc with a radius size of 90 pc. Within the limits of the ellipse, we can notice all the expected properties of a nuclear disc: increase in stellar velocity, decrease in stellar velocity dispersion, anti-correlation between h3 and the stellar velocity, increase in h4, decrease in mean ages, increase in [M/H], and decrease in [α/Fe].

thumbnail Fig. 2.

NGC 1566 data and derived maps. Details are the same as in Fig. 1. With the spatial maps, we display the limit of the nuclear disc measured considering the peak in the V/σ radial profile, in a black solid ellipse. We find a nuclear disc with a radius size of 77 pc. Within the limits of the ellipse, we can notice most of the properties expected for a nuclear disc: increase in stellar velocity, decrease in stellar velocity dispersion, anti-correlation between h3 and the stellar velocity, increase in h4, decrease in mean ages, and decrease in [α/Fe]. The only property that differs from expected is the [M/H], which also decreases. This behaviour can be related to the original properties of the in-falling gas. Lastly, we mask the central region which presented strong emission lines, characteristic of AGN.

NGC 289. Since the spatial resolution of the data is limited, we cannot derive a meaningful radial profile of V/σ within the nuclear disc, nor can we identify the position of its maximum value. Thus, we determined the radius size of the nuclear disc visually, considering only the spatial maps in Fig. 1. We find the nuclear disc radius to be 1″, which corresponds to a physical radius size of 90 pc. This radius is very consistent across all seven assessed maps. Considering the 1st and 3rd quartiles of the distribution of distance measurements from NED, the nuclear disc radius size error is pc. Despite the apparent small size of the nuclear disc, the expected characteristics are still clear. Following the kinematic maps, we found an increase in the stellar velocity and a drop in the stellar velocity dispersion. Furthermore, considering the Gauss-Hermite higher-order moments h3 and h4, we identified an anti-correlation with V for the former and an increase for the latter. All these kinematic properties indicate the presence of a second independent rotationally-supported structure, namely, the nuclear disc. Additionally, the stellar population properties agree with the scenario that the nuclear disc was formed by gas inflow following the formation of the bar. The nuclear disc presents younger average ages than the surrounding regions, as well as an increase in the [M/H], and a decrease in [α/Fe] enhancements. We would like to stress how the powerful resolution of MUSE allows us to identify nuclear discs even in extreme cases, such as that of NGC 289.

NGC 1566. The results for NGC 1566 are presented in Fig. 2. We masked the central region due to the presence of broad emission lines that are characteristic of AGNs. Considering the V/σ radial profile, we found a nuclear disc with an apparent radius of 2.2″ corresponding to a physical radius size of 77 pc. Considering the first and third quartiles of the distribution of distance measurements from NED, the nuclear disc size error is pc. As NGC 289, NGC 1566 displays most of the characteristics of a young nuclear disc, when compared to the main disc: increase in stellar velocity rotation, decrease in stellar velocity dispersion, h3 − V anti-correlation, increase in h4, younger average stellar ages, and increase in [α/Fe] enhancements. The only unexpected characteristic is the decrease in [M/H], where the opposite is expected for most bar-built nuclear discs. Nevertheless, Bittner et al. (2020) found the same trend for three nuclear discs and eight nuclear rings in a sample of 17 galaxies. This behaviour can be related to the original properties of the in-falling gas.

In summary, the two galaxies present the kinematic characteristics of a nuclear disc and most of the expected stellar population properties. Even though the [M/H] values of NGC 1566 are not necessarily consistent with most of the nuclear disc characteristics (e.g. Bittner et al. 2020), the two nuclear discs exhibit younger stellar ages in comparison to the surroundings, which is expected for bar-driven gas inflow. Lastly, it is worth it highlighting that the nuclear disc radius sizes of NGC 289 and NGC 1566 may not be consistent with each other, since we did not derive them following the same methodology. As can be noticed in Fig. 2, the characteristic kinematic radius size, based on the peak of V/σ, may underestimate the nuclear disc size of NGC 1566 when compared to NGC 289.

4.2. Timing bar formation

In this section, we describe the measured ages for the bars hosted by NGC 289 and NGC 1566 following the methodology presented at de Sá-Freitas et al. (2023). In Figs. 3 and 4, we present the SFHs (i.e. the stellar mass built over time) for the original data, the nuclear disc, and the main disc for NGC 289 and NGC 1566, respectively. We also display the ratio between the stellar mass of the nuclear disc and the main disc for every given SSP age, with a highlight on the bar age. We constrained any possible errors in our results, considering mainly two sources: data statistical errors and methodology systematic errors. We measured the data statistical error by performing 100 Monte Carlo runs in the collapsed data of each data cube – MUSE original, nuclear disc, and main disc. We considered the noise at each wavelength to sample a random distribution of fluxes, creating 100 artificial spectra. Following that step, we repeated the methodology described in Sect. 3.2 for each of the 300 artificial data cubes, deriving a distribution of SFHs and bar ages, considered here as the statistical error.

thumbnail Fig. 3.

NGC 289 bar age measurement. Top panel: SFH (i.e. stellar mass built over time) of the original data (solid red line), modelled main disc (dot-dashed green line), and the nuclear disc isolated (dashed blue line). With each SFH, we display the results from the 100 MC runs (shaded regions), considering the 1st and 9th quantiles. On the bottom panel, we display the ratio between the nuclear disc and the main-disc SFHs as a function of time (black-solid line), with the range of values from the 100 MC runs (grey-shaded region). We consider the moment of bar formation when ND/MD > 1 towards younger ages. This moment is highlighted by the orange dot and marks an age of Gyr. Further discussion of the measurement of the presented errors can be found in Sect. 4.2.

thumbnail Fig. 4.

NGC 1566 bar age measurement. Same details as in Fig. 3. The criterion of ND/MD > 1 is highlighted by the orange dot and marks an age of Gyr for the bar hosted by NGC 1566. Additionally, we display a zoom-in of a region of the bottom panel, highlighting the variations due to the 100 MC runs (grey-shaded regions).

On the other hand, the measurement of systematic errors consists of quantifying how the configuration of our methodology may affect the final bar age. This includes different galactocentric distances of the representative ring, the light profile assumed to model the main disc (exponential or flat), the measured age for collapsed and non-collapsed versions of the data cubes, and the adopted regularisation value in the final pPXF fit. Each different configuration results in a somewhat different bar age. We considered the difference from our main configuration to each test as a systematic error value. To quantify the final systematic error, we added all systematic errors in quadrature. In this work, we varied the position of the representative ring and the assumed model profile (exponential or flat), and consider the collapsed and non-collapsed configurations. For the regularisation value, we assumed an error of 0.5 Gyr, depending on the chosen regularisation value, found in de Sá-Freitas et al. (2023).

NGC 289. We found an age of 4.50 Gyr for the bar hosted by NGC 289 (see Fig. 3). Additionally, from the Monte Carlo runs, we measured a statistical error of Gyr, considering the first and ninth quantiles of the distributions of SFHs. Compared to the statistical error we find for the bar in NGC 1433 (; de Sá-Freitas et al. 2023), the NGC 289 errors are 1.5 − 5 times larger. This is expected due to the fact that the nuclear disc present in NGC 1433 is much larger and better resolved. In that sense, the original data occupies more spaxels when compared to NGC 289. Thus, once we collapsed the data cube, we achieved a S/N value close to 2000 for NGC 1433. On the other hand, the collapsed spectrum of NGC 289 has a S/N of around 200. Additionally, we constrained a systematic error of +1.6 on the bar age by varying the configurations on our methodology, such as the position of the representative ring, modelled main disc light profile, running the analysis on a spaxel by spaxel basis rather than collapsing the data cube, and regularisation. Lastly, de Sá-Freitas et al. (2023) demonstrated that placing the representative ring closer to the nuclear disc can result in younger bar ages. More specifically, we found a systematic error of 1.1 Gyr younger for bar ages. Since the data on NGC 289 intrinsically has a low physical spatial resolution, we originally placed the representative ring the closest allowed by observational constraints, that is, 1.2″ of distance determined by the seeing. As a result, we were not able to explore the systematic error related to placing the representative ring closer to the nuclear disc and we opted to adopt the systematic error of 1.1 Gyr younger for NGC 289 as well. In summary, we find that NGC 289 hosts a bar with an age of Gyr.

NGC 1566. We found an age of 0.70 Gyr for the bar hosted by NGC 1566 (see Fig. 4). For this galaxy, when applying our methodology, we found an excess of old stellar populations in our nuclear disc. As discussed in de Sá-Freitas et al. (2023), this is likely due to the negative age gradient in the galaxy. Our method of obtaining the bar age is robust against biases introduced due to this old stellar population residual. From the Monte Carlo runs, we measured a statistical error of ±0.05 Gyr, considering the first and ninth quantiles, which is considerably smaller than that of NGC 289. The low statistical error for NGC 1566 is mainly due to two issues: (i) the S/N achieved by the collapsed data cube is over 1000 and (ii) the particular shape of the SFHs and the sudden peak in young ages is similar in the 100 MC runs. Nevertheless, we also present a zoomed-in region in Fig. 4 to highlight the differences from the 100 MC runs. In addition, we found systematic errors of +2.60 Gyr. The systematic errors are due to the differences between the collapsed and non-collapsed results and the regularisation error adopted from de Sá-Freitas et al. (2023). Because NGC 1566 is a nearby galaxy (7.3 Mpc) and the observations were carried out with adaptative optics, the resolution is sufficient to test how varying the distance of the representative ring will affect our results, which is one of our main systematic uncertainties. However, the bar age retrieved for different representative rings distances remains the same, that is, 0.70 Gyr. In summary, we found a bar age of Gyr for NGC 1566.

4.3. Integrating the SFHs: Consistency check

Assuming our decomposition of the central light in the two discs is correct and, taking into account their relative brightness, we can calculate their contribution to the mass integrating their SFH (see also de Sá-Freitas et al. 2023). For NGC 289 we measure 6.4 × 107M and 4.4 × 107M for the main and nuclear disc, respectively. In that sense, the recently formed nuclear disc accounts for ∼41% of the total mass budget within the central 90 pc. On the other hand, for NGC 1566 we measure the main disc mass of 2.9 × 107M and the nuclear disc mass of 3.8 × 107M, where the nuclear disc accounts for ∼56% of the central mass budget within 77 pc. The measured masses for the nuclear discs are in good agreement with the findings in Seo et al. (2019), where the authors found masses for recently formed nuclear discs of 4 × 107M for Milky-Way-like galaxies, with stellar masses of 4.5 − 5 × 1010M.

Furthermore, considering the surface mass density of the main disc, we were able to extrapolate the results above to estimate the total stellar mass of the galaxy assuming an exponential function following:

(1)

where Σ0 is the central surface density and h is the disc scale-length – we consider 1.7 kpc and 2.6 kpc for NGC 289 and NGC 1566, respectively (Salo et al. 2015). We obtained extrapolated total stellar masses of 4.6 × 1010M, for NGC 289, and 8.3 × 1010M, for NGC 1566. With these estimates for the total stellar mass of the galaxy, we can compare it to measurements based on different methods, to do a consistency check of our structure disentanglement. In Table 1, we summarise the different stellar masses measured for different galaxies, including NGC 289 and NGC 1566. We find extrapolated masses close to the literature, especially in the case of NGC 289. On the other hand, the extrapolated mass for NGC 1566 is larger than the ones measured by the S4G (Sheth et al. 2010) and PHANGS (Leroy et al. 2021) teams. Nevertheless, the values from both works also vary greatly, demonstrating that measuring the stellar mass content is not a trivial task.

Table 1.

Total stellar masses for the galaxies considered in Fig. 5, as derived in different studies and with different methods, as indicated.

5. Small nuclear discs and young bars in the context of secular evolution

In this section, we discuss our results on the smallest nuclear discs reported and what insights they bring for galaxy secular evolution. We would like to stress that the results achieved by this work were only possible due to the incredible resolving power of state-of-the-art IFUs. Our results illustrate how we can uncover relatively compact structures, their kinematics, and their stellar population properties.

5.1. The smallest nuclear discs discovered and their implications

In this work, we report the smallest kinematically confirmed nuclear discs, as well as the youngest bar, ever discovered, to the best of our knowledge. The nuclear discs hosted by NGC 289 and NGC 1566 have respective sizes of and pc. In Sect. 4.1, we present the characteristics of each nuclear disc, together with spatial maps of the kinematic and stellar population properties. Both galaxies show all the kinematic characteristics expected for the presence of a second ordered fast-rotating structure in the centre of the galaxy, the nuclear disc. Additionally, the stellar population properties of both galaxies are those expected if the nuclear disc is formed by gas infall due to the presence of the bar. When compared to the surroundings, both nuclear discs have younger mean stellar ages and lower [α/Fe] values. These properties indicate the late formation of the nuclear disc when compared to the main disc that was already present. Also, the lower values of [α/Fe] indicate a continuous star formation, the opposite of a sudden starburst driven by mergers, which would present higher values of [α/Fe] enhancement. Additionally, NGC 289 presents higher values of [M/H] in the nuclear disc, as compared to the surroundings, which is also expected in the bar-built scenario. Lastly, on the contrary, NGC 1566 presents lower values of metallicity, which is not expected for the bar-built scenario of the nuclear disc. However, Gadotti et al. (2019) report a similar case in the TIMER survey, NGC 1097, in which the nuclear ring also presents low values of [M/H], indicating the lack of pre-processing. As in NGC 1097, we see that NGC 1566 has signs of a recent interaction and a low-mass satellite companion, NGC 1581, which could explain the origin of the low-metallicity gas. Also, Bittner et al. (2020) find similar radial trends for three nuclear discs and eight nuclear rings out of 17 galaxies. Since the metallicity values are intrinsically connected to the origin and history of the gas brought inwards (which we do not know and is beyond the scope of this work), it is possible that the original gas was not enriched for unknown reasons and may still be in agreement with the bar-built scenario of nuclear discs.

When compared to known nuclear discs, such as those reported by the TIMER collaboration (left panel in Fig. 5, Gadotti et al. 2019), the nuclear discs we find are the smallest reported. Interestingly, both galaxies also have smaller bars than the TIMER sample, with sizes comparable to nuclear bars (Erwin 2004). However, there is no evidence of longer bars in either case and we therefore consider these to be the main bar of the galaxy, albeit with lengths that are at the low end of the observed distribution. In fact, Erwin (2005) found that the mean main bar size in late-type disc galaxies (Sc-Sd) is 1.5 kpc, very close to the bars in both galaxies studied here (although we note that both are Sbc galaxies). This makes them interesting objects to investigate further the evolutionary link between bars and nuclear discs. There is growing evidence that supports that bars and nuclear discs can evolve simultaneously, both from simulations and observations (e.g. Shlosman et al. 1989; Knapen 2005; Comerón et al. 2010; Seo et al. 2019; Gadotti et al. 2020). From observations, Gadotti et al. (2020) showed a clear relation between the kinematic nuclear disc size and the bar length (see left panel in Fig. 5), which can imply a possible co-evolution. Furthermore, studies indicate that the nuclear disc grows inside-out with time (e.g. Bittner et al. 2020; de Sá-Freitas et al. 2023), in agreement with simulations (Seo et al. 2019). In fact, Seo et al. (2019) predicted that for Milky-Way galaxies, bar-built nuclear discs can form as small as 40 pc, depending on properties such as the gas fraction and dynamics, in agreement with our findings. Adding the two galaxies from this work, the correlation between nuclear disc size and bar length is strengthened from a Person-coefficient of 0.72 to 0.83, with a p-value of 2 × 10−4 (see Fig. 5, left panel). This is consistent with the scenario in which the nuclear disc growth is connected to the bar length, although the correlation itself does not necessarily imply causality. Nonetheless, exactly which mechanisms are responsible for defining the size of the nuclear disc and how they work are still a matter of debate (see, e.g. Sormani et al. 2018).

thumbnail Fig. 5.

Smallest nuclear disc and their young bars in context. Left: relation of the nuclear disc size with bar length from the TIMER sample (Gadotti et al. 2020, black circles), together with the two galaxies from this paper: NGC 289 (cyan triangle) and NGC 1566 (magenta square), as well as values for the Milky Way (black star). For the nuclear disc size for the Milky Way, we consider ∼100 − 300 pc (Sormani et al. 2020, 2022) and for the bar length, 5.0 ± 0.2 kpc (Wegg et al. 2015). We also display the linear regression for the TIMER sample alone (solid black line) and considering this work, with the two new galaxies (dashed grey line). With the galaxies in this work, the Pearson correlation coefficient between nuclear disc size and bar length is strengthened from 0.73 (TIMER only) to 0.82 (this work). We do not consider the Milky Way for linear regression. The two galaxies from this work host considerably smaller nuclear discs than the ones in the TIMER sample. Centre: relation of nuclear disc size with bar age. We consider the values for NGC 1433 (de Sá-Freitas et al. 2023), NGC 4371 (Gadotti et al. 2015, 2020), the Milky Way (Sormani et al. 2020, 2022; Wylie et al. 2022; Sanders et al. 2022), and the two galaxies from this work, NGC 289 and NGC 1566. The error bars of NGC 289 and NGC 1566 are the statistical and systematic errors, measured in this work; for NGC 1433, we considered the statistical and systematic errors from de Sá-Freitas et al. (2023); for the Milky Way, we considered the different values from the literature, and for NGC 4371, we considered the measured errors from Gadotti et al. (2015). It is clear that the bar ages measured for NGC 289 and NGC 1566 are the youngest, even when considering the error bars. Right: values of the total stellar mass as a function of bar age. For stellar mass values, we consider the mean value of different literature references (see Table 1). We do not consider the extrapolated values for total stellar mass from this work. With the information from the five galaxies, we find no correlation. This could indicate that downsizing is not sufficient to determine bar formation, although more data is needed to achieve robust results.

Finally, in this work, we find the first kinematically confirmed extragalactic nuclear disc as small as the one in our Galaxy, which has a size of 100 − 200 pc (e.g. Launhardt et al. 2002). The differences in the size of the nuclear disc from the Milky Way to extragalactic can be either real, in the sense that our Galaxy hosts a small nuclear disc, or artificial, due to different measurement methods. Although we cannot rule out that the differences can arise from different measurement methods, our findings show that small nuclear discs (∼100 pc) exist and may be found in other galaxies as well.

5.2. Bars are still forming and discs are still settling

A number of theoretical and observational studies have found that bars are robust, long-lived structures, and once formed, cannot easily be destroyed (e.g. Athanassoula 2003; Athanassoula et al. 2005; Kraljic et al. 2012; Gadotti et al. 2015; Pérez et al. 2017; de Lorenzo-Cáceres et al. 2019; Rosas-Guevara et al. 2020; Fragkoudi et al. 2020, 2021; de Sá-Freitas et al. 2023). Additionally, by studying how the fraction of barred galaxies evolves with redshift, it becomes clear that bars have existed since at least z ≤ 1 − 2 (e.g. Sheth et al. 2008; Melvin et al. 2014; Guo et al. 2023) and the fraction increases with time (e.g. Sheth et al. 2008; Cameron et al. 2010; Melvin et al. 2014; Zhao et al. 2020). In fact, in the Local Universe, bars are common structures and are present in 30 − 70% of the galaxies (e.g. Eskridge et al. 2000; Menéndez-Delmestre et al. 2007; Barazza et al. 2008; Aguerri et al. 2009; Nair & Abraham 2010; Buta et al. 2015; Erwin 2018). Although it is not entirely clear what fundamental properties of galaxies lead them to form and sustain a bar, analytical and numerical works indicate that the moment of bar formation is linked to the dynamical settlement of the disc (e.g. Kraljic et al. 2012). That is to say, galaxies can only form and sustain a bar once their discs are massive enough and sufficiently dynamically cold (at least in part). As a result, massive galaxies are expected to achieve a minimum mass to settle first, following the downsizing scenario (e.g. Cowie et al. 1996; Thomas et al. 2010; Sheth et al. 2012). In that scenario, we could expect a relation between galaxy mass and bar age, where the oldest bars would be found in massive galaxies and, on the other hand, young bars in less massive galaxies.

Following the methodology presented in de Sá-Freitas et al. (2023), we measured the bar ages of and Gyr for NGC 289 and NGC 1566, respectively. To the best of our knowledge, these are the youngest bars for which we have a robust estimate of their ages. Since bar formation is associated with disc settling, our findings indicate that the discs in these galaxies recently settled or are still partially settling. Additionally, analysing photometric and kinematic properties following Erwin & Debattista (2017) and Méndez-Abreu et al. (2008, 2019), respectively, we did not find any evidence of a presence of a boxy/peanut bulge. More specifically, we looked for ‘spurs’ signatures in S4G images and analysed the h4 along the bar major axis. For both analyses, we did not find signs of the presence of a boxy/peanut bulge. For more details regarding the photometric analysis, we refer the reader to Erwin & Debattista (2017) and, for the kinematic analysis, to Méndez-Abreu et al. (2008, 2019). Since it is expected that bars take ∼3 − 4 Gyr to develop a boxy/peanut bulge (e.g. Pérez et al. 2017), this is in line with the fact that these bars are young and recently formed. Considering the scenario in which bars form nuclear discs, it is not surprising that the smallest nuclear discs are hosted by young bars. In fact, this is expected in the bar-driven and inside-out growth scenarios. That is to say, recently formed bars would host small nuclear discs (e.g. Seo et al. 2019). In summary, the measured bar ages together with the nuclear disc sizes from our work support scenarios of co-evolution between the bar and nuclear disc, as well as the inside-out growth of the nuclear disc itself, even if it is only provisionally.

Analysing our sample in the context of other findings, for the first time, we can start to investigate the relationship between nuclear disc size and bar age (see Table 2 and Fig. 5, middle panel), which will allow us to understand how nuclear discs grow in size in the future once we derive more bar ages using the full TIMER sample. Considering the current sample of galaxies for which we do have the measured bar age, namely: NGC 1433 (7.5 Gyr, de Sá-Freitas et al. 2023); NGC 4371 (10 Gyr, Gadotti et al. 2015); and the Milky Way (8 Gyr, Wylie et al. 2022; Sanders et al. 2022), in addition to NGC 289 and NGC 1566, we show a tentative exponential growth scenario for nuclear discs in galaxies with similar stellar masses (see Table 1). While, at first, the nuclear disc hardly shows a development until ∼6 Gyr, this is then followed by fast growth. Despite the small size of our sample, this scenario is in qualitative agreement with theoretical expectations (e.g. Seo et al. 2019), posting that young nuclear discs form small and are repetitively destroyed by their own star formation. This can also explain the lack of small nuclear discs discovered. Once they accumulate enough mass and the bar grows long enough, the nuclear disc can effectively grow. However, Seo et al. (2019) find that this transition takes place after ∼2 Gyr, depending on the simulation configuration. Nevertheless, this is a preliminary result and a larger sample is needed to robustly understand how nuclear discs grow, which is one of the TIMER collaboration goals for the future. In addition, more simulations are needed, particularly simulations employing a cosmological setting, to better understand the formation and growth of nuclear discs.

Table 2.

Properties of galaxies considered in Fig. 5 derived from different studies.

Finally, we also investigate how our sample fits the downsizing scenario (see Fig. 5, right panel), in which massive galaxies are expected to host older bars. To investigate this scenario, we considered different mass measurements in the literature (summarised in Table 1). Contrary to the expected, our galaxies that host young bars have similar stellar masses of galaxies with bars as old as 10 Gyr. This indicates that the downsizing scenario may not be sufficient to explain bar formation, but other processes may also be needed. In other words, even if galaxies have enough mass, other factors can limit bar formation and further investigation is needed. In fact, bars can also form due to tidal interactions, including interactions with satellite galaxies and this mechanism of bar formation may be independent of the galaxy mass (see, e.g. Noguchi 1987; Gerin et al. 1990; Łokas 2021). This could be the case of NGC 289 and NGC 1566 since both galaxies have close companions and signs of recent interactions. Nevertheless, from Table 1, it is clear that stellar mass measurement is not trivial and different methods can result in masses differing by a factor of ∼3. Additionally, here we present a small sample and a tentative result. In the near future, we will analyse the same properties for the entire TIMER sample (Gadotti et al. 2019), which will enable us to derive a more robust scenario.

6. Summary and conclusions

In this work, we report the smallest kinematically confirmed nuclear discs observed to date. Additionally, applying the methodology from de Sá-Freitas et al. (2023), we measured their respective bar ages and found that their bars are also the youngest bars to date for which there are bar age estimates. We summarise our findings as follows.

  • We report evidence for the serendipitous discovery of nuclear discs with sizes of and pc in NGC 289 and NGC 1566, respectively. We analysed the spatially resolved kinematic and stellar population properties for both galaxies. Both galaxies present all the kinematic characteristics of a secondary fast-rotating central structure, the nuclear disc. In addition, their nuclear discs present most of the average stellar population properties expected for a bar-driven formation. These properties follow the scenario in which the nuclear disc is formed by gas inflow triggered by the bar formation (Sect. 4.1).

  • We measured the ages for both bars hosting the nuclear discs (de Sá-Freitas et al. 2023) and found ages of and Gyr for NGC 289 and NGC 1566, respectively. This is in agreement with the bar-driven and inside-out growth scenarios, in which young bars form small nuclear discs and, as the bar grows longer, the nuclear disc grows larger (Sect. 4.2).

  • Analysing the bar length and nuclear disc size relation together with the TIMER sample (Gadotti et al. 2019), we find that our sample agrees with the correlation. In fact, by adding our two galaxies, the correlation is strengthened from r = 0.73 to 0.82 with a p-value of 2 × 10−4. This is in agreement with the nuclear disc growing inside out with time (Sect. 5.1).

  • Analysing the bar age with nuclear disc size relation, together with three galaxies from the literature (NGC 1433, NGC 4371, and the Milky Way), we find a suggestive exponential relation. In that scenario, nuclear discs would take longer to effectively grow. This is in qualitative agreement with theoretical works (e.g. Seo et al. 2019) that suggest that nuclear discs grow over time (Sect. 5.2).

  • Analysing the bar age with the galaxy stellar mass relation together with three galaxies from the literature (NGC 1433, NGC 4371, and the Milky Way), we do not find a correlation between the bar age with the galaxy stellar mass. Although this finding might challenge the downsizing scenario for bar formation, whereby more massive galaxies would host older stellar bars, we also point out that our sample size is still rather limited. Nevertheless, we emphasise that measuring stellar mass is not trivial and different methods will offer different mass measurements (Sect. 5.2).

These results provide further intriguing evidence of the interplay between nuclear discs and the formation and evolution of bars. By applying the methodology developed in de Sá-Freitas et al. (2023) to the entire TIMER sample (Gadotti et al. 2019), we will be able to increase our sample size. This will ultimately enable us to probe the role played by downsizing on bar formation as well as the intricate interplay between bar formation and nuclear disc evolution.


Acknowledgments

We thank the anonymous referee for the insightful comments. Raw and reduced data are available at the ESO Science Archive Facility. This work was supported by STFC grant ST/T000244/1 and ST/X001075/1. A.d.L.C. acknowledges support from Ministerio de Ciencia e Innovación through the Spanish State Agency (MCIN/AEI) and from the European Regional Development Fund (ERDF) under grant CoBEARD (reference PID2021-128131NB-I00), and under the Severo Ochoa Centres of Excellence Programme 2020-2023 (CEX2019-000920-S). I.M.N. and J.F.B. acknowledge support from grant PID2019-107427GB-C32 from the Spanish Ministry of Science and Innovation and from grant ProID2021010080 and CEX2019-000920-S in the framework of Proyectos de I+D por organismos de investigación y empresas en las áreas prioritarias de la estrategia de especialización inteligente de Canarias (RIS-3). M.Q. acknowledges support from the Spanish grant PID2019-106027GA-C44, funded by MCIN/AEI/10.13039/501100011033. P.C. acknowledges support from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under grant 310555/2021-3 and from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) process number 2021/08813-7. J.N. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 694343). P.S.B. acknowledges the support of the Spanish Ministry of Science and Innovation through grant PID2019-107427GB-C31.

References

  1. Aguerri, J., Méndez-Abreu, J., & Corsini, E. 2009, A&A, 495, 491 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Athanassoula, E. 1992a, MNRAS, 259, 328 [NASA ADS] [CrossRef] [Google Scholar]
  3. Athanassoula, E. 1992b, MNRAS, 259, 345 [Google Scholar]
  4. Athanassoula, E. 1992c, MNRAS, 259, 345 [Google Scholar]
  5. Athanassoula, L. 2003, Galaxies and Chaos, 313 [Google Scholar]
  6. Athanassoula, E. 2005, MNRAS, 358, 1477 [NASA ADS] [CrossRef] [Google Scholar]
  7. Athanassoula, E., Lambert, J., & Dehnen, W. 2005, MNRAS, 363, 496 [NASA ADS] [CrossRef] [Google Scholar]
  8. Baba, J., & Kawata, D. 2020, MNRAS, 492, 4500 [NASA ADS] [CrossRef] [Google Scholar]
  9. Baldwin, J. A., Phillips, M. M., & Terlevich, R. 1981, PASP, 93, 5 [Google Scholar]
  10. Barazza, F. D., Jogee, S., & Marinova, I. 2008, ApJ, 675, 1194 [Google Scholar]
  11. Bendo, G. J., & Joseph, R. D. 2004, AJ, 127, 3338 [NASA ADS] [CrossRef] [Google Scholar]
  12. Bittner, A., Falcón-Barroso, J., Nedelchev, B., et al. 2019, A&A, 628, A117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Bittner, A., Sánchez-Blázquez, P., Gadotti, D. A., et al. 2020, A&A, 643, A65 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Bournaud, F., Combes, F., & Semelin, B. 2005, MNRAS, 364, L18 [Google Scholar]
  15. Buta, R. J., Sheth, K., Athanassoula, E., et al. 2015, ApJS, 217, 32 [Google Scholar]
  16. Cameron, E., Carollo, C. M., Oesch, P., et al. 2010, MNRAS, 409, 346 [NASA ADS] [CrossRef] [Google Scholar]
  17. Cappellari, M. 2012, Astrophysics Source Code Library [record ascl:1210.002] [Google Scholar]
  18. Cappellari, M., & Copin, Y. 2003, MNRAS, 342, 345 [Google Scholar]
  19. Cappellari, M., & Emsellem, E. 2004, PASP, 116, 138 [Google Scholar]
  20. Coelho, P., & Gadotti, D. A. 2011, ApJ, 743, L13 [Google Scholar]
  21. Cole, D. R., Debattista, V. P., Erwin, P., Earp, S. W., & Roškar, R. 2014, MNRAS, 445, 3352 [NASA ADS] [CrossRef] [Google Scholar]
  22. Combes, F., & Gerin, M. 1985, A&A, 150, 327 [NASA ADS] [Google Scholar]
  23. Comerón, S., Knapen, J., Beckman, J., et al. 2010, MNRAS, 402, 2462 [CrossRef] [Google Scholar]
  24. Corsini, E., Morelli, L., Pastorello, N., et al. 2016, MNRAS, 457, 1198 [CrossRef] [Google Scholar]
  25. Cowie, L. L., Songaila, A., Hu, E. M., & Cohen, J. 1996, AJ, 112, 839 [NASA ADS] [CrossRef] [Google Scholar]
  26. de Lorenzo-Cáceres, A., Sánchez-Blázquez, P., Méndez-Abreu, J., et al. 2019, MNRAS, 484, 5296 [Google Scholar]
  27. de Sá-Freitas, C., Fragkoudi, F., Gadotti, D. A., et al. 2023, A&A, 671, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. de Vaucouleurs, G., de Vaucouleurs, A., Corwin, H. G., Jr., et al. 1991, Third Reference Catalogue of Bright Galaxies (New York: Springer) [Google Scholar]
  29. Di Matteo, P., Haywood, M., Combes, F., Semelin, B., & Snaith, O. 2013, A&A, 553, A102 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Ellison, S. L., Nair, P., Patton, D. R., et al. 2011, MNRAS, 416, 2182 [NASA ADS] [CrossRef] [Google Scholar]
  31. Emsellem, E., Renaud, F., Bournaud, F., et al. 2015, MNRAS, 446, 2468 [Google Scholar]
  32. Erroz-Ferrer, S., Carollo, C. M., Den Brok, M., et al. 2019, MNRAS, 484, 5009 [NASA ADS] [CrossRef] [Google Scholar]
  33. Erwin, P. 2004, A&A, 415, 941 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Erwin, P. 2005, MNRAS, 364, 283 [Google Scholar]
  35. Erwin, P. 2018, MNRAS, 474, 5372 [Google Scholar]
  36. Erwin, P., & Debattista, V. P. 2017, MNRAS, 468, 2058 [Google Scholar]
  37. Erwin, P., Saglia, R. P., Fabricius, M., et al. 2015, MNRAS, 446, 4039 [Google Scholar]
  38. Eskridge, P. B., Frogel, J. A., Pogge, R. W., et al. 2000, AJ, 119, 536 [NASA ADS] [CrossRef] [Google Scholar]
  39. Falcón-Barroso, J., Bacon, R., Bureau, M., et al. 2006, MNRAS, 369, 529 [Google Scholar]
  40. Fragkoudi, F., Athanassoula, E., & Bosma, A. 2016, MNRAS, 462, L41 [NASA ADS] [CrossRef] [Google Scholar]
  41. Fragkoudi, F., Di Matteo, P., Haywood, M., et al. 2017, A&A, 606, A47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Fragkoudi, F., Grand, R. J., Pakmor, R., et al. 2020, MNRAS, 494, 5936 [NASA ADS] [CrossRef] [Google Scholar]
  43. Fragkoudi, F., Grand, R. J., Pakmor, R., et al. 2021, A&A, 650, L16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Gadotti, D. A. 2009, MNRAS, 393, 1531 [Google Scholar]
  45. Gadotti, D. A., & de Souza, R. E. 2005, ApJ, 629, 797 [NASA ADS] [CrossRef] [Google Scholar]
  46. Gadotti, D. A., Seidel, M. K., Sánchez-Blázquez, P., et al. 2015, A&A, 584, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Gadotti, D. A., Sánchez-Blázquez, P., Falcón-Barroso, J., et al. 2019, MNRAS, 482, 506 [Google Scholar]
  48. Gadotti, D. A., Bittner, A., Falcón-Barroso, J., et al. 2020, A&A, 643, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Gallo, E., Treu, T., Marshall, P. J., et al. 2010, ApJ, 714, 25 [NASA ADS] [CrossRef] [Google Scholar]
  50. Gerin, M., Combes, F., & Athanassoula, E. 1990, A&A, 230, 37 [NASA ADS] [Google Scholar]
  51. Guo, Y., Jogee, S., Finkelstein, S. L., et al. 2023, ApJ, 945, L10 [NASA ADS] [CrossRef] [Google Scholar]
  52. Halle, A., Di Matteo, P., Haywood, M., & Combes, F. 2015, A&A, 578, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Herrera-Endoqui, M., Díaz-García, S., Laurikainen, E., & Salo, H. 2015, A&A, 582, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Ho, L. C., Li, Z.-Y., Barth, A. J., Seigar, M. S., & Peng, C. Y. 2011, ApJS, 197, 21 [Google Scholar]
  55. Kendall, S., Clarke, C., & Kennicutt, R., Jr. 2015, MNRAS, 446, 4155 [NASA ADS] [CrossRef] [Google Scholar]
  56. Kim, W.-T., Seo, W.-Y., & Kim, Y. 2012, ApJ, 758, 14 [NASA ADS] [CrossRef] [Google Scholar]
  57. Kim, T., Gadotti, D. A., Sheth, K., et al. 2014, ApJ, 782, 64 [CrossRef] [Google Scholar]
  58. Knapen, J. 2005, A&A, 429, 141 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Kormendy, J., & Kennicutt, R. C., Jr. 2004, ARA&A, 42, 603 [Google Scholar]
  60. Kraljic, K., Bournaud, F., & Martig, M. 2012, ApJ, 757, 60 [Google Scholar]
  61. Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
  62. Launhardt, R., Zylka, R., & Mezger, P. 2002, A&A, 384, 112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Ledo, H., Sarzi, M., Dotti, M., Khochfar, S., & Morelli, L. 2010, MNRAS, 407, 969 [CrossRef] [Google Scholar]
  64. Leroy, A. K., Schinnerer, E., Hughes, A., et al. 2021, ApJS, 257, 43 [NASA ADS] [CrossRef] [Google Scholar]
  65. Licquia, T. C., & Newman, J. A. 2015, ApJ, 806, 96 [NASA ADS] [CrossRef] [Google Scholar]
  66. Łokas, E. L. 2021, A&A, 647, A143 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. López-Cobá, C., Sánchez, S. F., Lin, L., et al. 2022, ApJ, 939, 40 [CrossRef] [Google Scholar]
  68. Lynden-Bell, D., & Kalnajs, A. 1972, MNRAS, 157, 1 [NASA ADS] [CrossRef] [Google Scholar]
  69. Masters, K. L., Nichol, R. C., Hoyle, B., et al. 2011, MNRAS, 411, 2026 [Google Scholar]
  70. Melvin, T., Masters, K., Lintott, C., et al. 2014, MNRAS, 438, 2882 [Google Scholar]
  71. Méndez-Abreu, J., Corsini, E., Debattista, V. P., et al. 2008, ApJ, 679, L73 [CrossRef] [Google Scholar]
  72. Méndez-Abreu, J., Aguerri, J. A., Falcón-Barroso, J., et al. 2018, MNRAS, 474, 1307 [Google Scholar]
  73. Méndez-Abreu, J., de Lorenzo-Cáceres, A., Gadotti, D., et al. 2019, MNRAS, 482, L118 [CrossRef] [Google Scholar]
  74. Menéndez-Delmestre, K., Sheth, K., Schinnerer, E., Jarrett, T. H., & Scoville, N. Z. 2007, ApJ, 657, 790 [Google Scholar]
  75. Muñoz-Mateos, J. C., Sheth, K., De Paz, A. G., et al. 2013, ApJ, 771, 59 [CrossRef] [Google Scholar]
  76. Muñoz-Mateos, J. C., Sheth, K., Regan, M., et al. 2015, ApJS, 219, 3 [Google Scholar]
  77. Munoz-Tunón, C., Caon, N., & Aguerri, J. A. L. 2004, AJ, 127, 58 [CrossRef] [Google Scholar]
  78. Nair, P. B., & Abraham, R. G. 2010, ApJ, 714, L260 [Google Scholar]
  79. Noguchi, M. 1987, MNRAS, 228, 635 [NASA ADS] [Google Scholar]
  80. Pérez, I., Martínez-Valpuesta, I., Ruiz-Lara, T., et al. 2017, MNRAS, 470, L122 [CrossRef] [Google Scholar]
  81. Pietrinferni, A., Cassisi, S., Salaris, M., & Castelli, F. 2004, ApJ, 612, 168 [Google Scholar]
  82. Pietrinferni, A., Cassisi, S., Salaris, M., & Castelli, F. 2006, ApJ, 642, 797 [Google Scholar]
  83. Pietrinferni, A., Cassisi, S., Salaris, M., Percival, S., & Ferguson, J. W. 2009, ApJ, 697, 275 [Google Scholar]
  84. Pietrinferni, A., Cassisi, S., Salaris, M., & Hidalgo, S. 2013, A&A, 558, A46 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  85. Rosas-Guevara, Y., Bonoli, S., Dotti, M., et al. 2020, MNRAS, 491, 2547 [NASA ADS] [Google Scholar]
  86. Salo, H., Laurikainen, E., Laine, J., et al. 2015, ApJS, 219, 4 [Google Scholar]
  87. Sánchez, S., Kennicutt, R., De Paz, A. G., et al. 2012, A&A, 538, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Sanchez-Blazquez, P., Ocvirk, P., Gibson, B. K., Pérez, I., & Peletier, R. F. 2011, MNRAS, 415, 709 [NASA ADS] [CrossRef] [Google Scholar]
  89. Sanders, J. L., Matsunaga, N., Kawata, D., et al. 2022, MNRAS, 517, 257 [CrossRef] [Google Scholar]
  90. Sarzi, M., Falcón-Barroso, J., Davies, R. L., et al. 2006, MNRAS, 366, 1151 [Google Scholar]
  91. Sarzi, M., Ledo, H. R., Coccato, L., et al. 2016, MNRAS, 457, 1804 [NASA ADS] [CrossRef] [Google Scholar]
  92. Seo, W.-Y., Kim, W.-T., Kwak, S., et al. 2019, ApJ, 872, 5 [NASA ADS] [CrossRef] [Google Scholar]
  93. Sheth, K., Vogel, S. N., Regan, M. W., Thornley, M. D., & Teuben, P. J. 2005, ApJ, 632, 217 [NASA ADS] [CrossRef] [Google Scholar]
  94. Sheth, K., Elmegreen, D. M., Elmegreen, B. G., et al. 2008, ApJ, 675, 1141 [Google Scholar]
  95. Sheth, K., Regan, M., Hinz, J. L., et al. 2010, PASP, 122, 1397 [Google Scholar]
  96. Sheth, K., Melbourne, J., Elmegreen, D. M., et al. 2012, ApJ, 758, 136 [NASA ADS] [CrossRef] [Google Scholar]
  97. Shlosman, I., Frank, J., & Begelman, M. C. 1989, Nature, 338, 45 [Google Scholar]
  98. Sormani, M. C., Sobacchi, E., Fragkoudi, F., et al. 2018, MNRAS, 481, 2 [NASA ADS] [CrossRef] [Google Scholar]
  99. Sormani, M. C., Magorrian, J., Nogueras-Lara, F., et al. 2020, MNRAS, 499, 7 [Google Scholar]
  100. Sormani, M. C., Sanders, J. L., Fritz, T. K., et al. 2022, MNRAS, 512, 1857 [CrossRef] [Google Scholar]
  101. Thomas, D., Maraston, C., Schawinski, K., Sarzi, M., & Silk, J. 2010, MNRAS, 404, 1775 [NASA ADS] [Google Scholar]
  102. Van Der Marel, R. P., & Franx, M. 1993, ApJ, 407, 525 [NASA ADS] [CrossRef] [Google Scholar]
  103. Vazdekis, A., Coelho, P., Cassisi, S., et al. 2015, MNRAS, 449, 1177 [Google Scholar]
  104. Wegg, C., Gerhard, O., & Portail, M. 2015, MNRAS, 450, 4050 [NASA ADS] [CrossRef] [Google Scholar]
  105. Wylie, S. M., Clarke, J. P., & Gerhard, O. E. 2022, A&A, 659, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  106. Zhao, D., Du, M., Ho, L. C., Debattista, V. P., & Shi, J. 2020, ApJ, 904, 170 [Google Scholar]

All Tables

Table 1.

Total stellar masses for the galaxies considered in Fig. 5, as derived in different studies and with different methods, as indicated.

Table 2.

Properties of galaxies considered in Fig. 5 derived from different studies.

All Figures

thumbnail Fig. 1.

NGC 289 data and derived maps. On the left, we display the colour composites of NGC 289 from the Carnegie-Irvine Galaxy Survey (CGS, Ho et al. 2011) together with the black and white image from MUSE ESO archival data (MAD, Erroz-Ferrer et al. 2019). We highlight the central region from which we derive the kinematic and stellar population maps. On the right, we display the seven spatial maps with derived kinematic and stellar population properties: stellar velocity (Vstars), stellar velocity dispersion (σstars), the Gauss-Hermite higher-order moments, h3 and h4 (Van Der Marel & Franx 1993), mean age, metallicity ([M/H]), and α elements enhancement ([α/Fe]). Together with the spatial maps, we display the limit of the nuclear disc in a black solid ellipse. We find a nuclear disc with a radius size of 90 pc. Within the limits of the ellipse, we can notice all the expected properties of a nuclear disc: increase in stellar velocity, decrease in stellar velocity dispersion, anti-correlation between h3 and the stellar velocity, increase in h4, decrease in mean ages, increase in [M/H], and decrease in [α/Fe].

In the text
thumbnail Fig. 2.

NGC 1566 data and derived maps. Details are the same as in Fig. 1. With the spatial maps, we display the limit of the nuclear disc measured considering the peak in the V/σ radial profile, in a black solid ellipse. We find a nuclear disc with a radius size of 77 pc. Within the limits of the ellipse, we can notice most of the properties expected for a nuclear disc: increase in stellar velocity, decrease in stellar velocity dispersion, anti-correlation between h3 and the stellar velocity, increase in h4, decrease in mean ages, and decrease in [α/Fe]. The only property that differs from expected is the [M/H], which also decreases. This behaviour can be related to the original properties of the in-falling gas. Lastly, we mask the central region which presented strong emission lines, characteristic of AGN.

In the text
thumbnail Fig. 3.

NGC 289 bar age measurement. Top panel: SFH (i.e. stellar mass built over time) of the original data (solid red line), modelled main disc (dot-dashed green line), and the nuclear disc isolated (dashed blue line). With each SFH, we display the results from the 100 MC runs (shaded regions), considering the 1st and 9th quantiles. On the bottom panel, we display the ratio between the nuclear disc and the main-disc SFHs as a function of time (black-solid line), with the range of values from the 100 MC runs (grey-shaded region). We consider the moment of bar formation when ND/MD > 1 towards younger ages. This moment is highlighted by the orange dot and marks an age of Gyr. Further discussion of the measurement of the presented errors can be found in Sect. 4.2.

In the text
thumbnail Fig. 4.

NGC 1566 bar age measurement. Same details as in Fig. 3. The criterion of ND/MD > 1 is highlighted by the orange dot and marks an age of Gyr for the bar hosted by NGC 1566. Additionally, we display a zoom-in of a region of the bottom panel, highlighting the variations due to the 100 MC runs (grey-shaded regions).

In the text
thumbnail Fig. 5.

Smallest nuclear disc and their young bars in context. Left: relation of the nuclear disc size with bar length from the TIMER sample (Gadotti et al. 2020, black circles), together with the two galaxies from this paper: NGC 289 (cyan triangle) and NGC 1566 (magenta square), as well as values for the Milky Way (black star). For the nuclear disc size for the Milky Way, we consider ∼100 − 300 pc (Sormani et al. 2020, 2022) and for the bar length, 5.0 ± 0.2 kpc (Wegg et al. 2015). We also display the linear regression for the TIMER sample alone (solid black line) and considering this work, with the two new galaxies (dashed grey line). With the galaxies in this work, the Pearson correlation coefficient between nuclear disc size and bar length is strengthened from 0.73 (TIMER only) to 0.82 (this work). We do not consider the Milky Way for linear regression. The two galaxies from this work host considerably smaller nuclear discs than the ones in the TIMER sample. Centre: relation of nuclear disc size with bar age. We consider the values for NGC 1433 (de Sá-Freitas et al. 2023), NGC 4371 (Gadotti et al. 2015, 2020), the Milky Way (Sormani et al. 2020, 2022; Wylie et al. 2022; Sanders et al. 2022), and the two galaxies from this work, NGC 289 and NGC 1566. The error bars of NGC 289 and NGC 1566 are the statistical and systematic errors, measured in this work; for NGC 1433, we considered the statistical and systematic errors from de Sá-Freitas et al. (2023); for the Milky Way, we considered the different values from the literature, and for NGC 4371, we considered the measured errors from Gadotti et al. (2015). It is clear that the bar ages measured for NGC 289 and NGC 1566 are the youngest, even when considering the error bars. Right: values of the total stellar mass as a function of bar age. For stellar mass values, we consider the mean value of different literature references (see Table 1). We do not consider the extrapolated values for total stellar mass from this work. With the information from the five galaxies, we find no correlation. This could indicate that downsizing is not sufficient to determine bar formation, although more data is needed to achieve robust results.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.