Abstract
We explore the evolution of the internal gas kinematics of star-forming galaxies from the peak of cosmic star formation at to today. Measurements of galaxy rotation velocity Vrot, which quantify ordered motions, and gas velocity dispersion , which quantify disordered motions, are adopted from the DEEP2 and SIGMA surveys. This sample covers a continuous baseline in redshift over , spanning 10 Gyr. At low redshift, nearly all sufficiently massive star-forming galaxies are rotationally supported (). By z = 2, 50% and 70% of galaxies are rotationally supported at low () and high () stellar mass, respectively. For , the percentage drops below 35% for all masses. From z = 2 to now, galaxies exhibit remarkably smooth kinematic evolution on average. All galaxies tend toward rotational support with time, and higher-mass systems reach it earlier. This is largely due to a mass-independent decline in by a factor of 3 since z = 2. Over the same time period, Vrot increases by a factor of 1.5 in low-mass systems but does not evolve at high mass. These trends in Vrot and are at a fixed stellar mass and therefore should not be interpreted as evolutionary tracks for galaxy populations. When populations are linked in time via abundance matching, declines as before and Vrot strongly increases with time for all galaxy populations, enhancing the evolution in . These results indicate that is a period of disk assembly, during which strong rotational support is only just beginning to emerge.
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1. Introduction
The peak of cosmic star formation at is expected to be a violent period for galaxies. Several active processes, including minor and major mergers, smooth accretion, feedback from star formation, and violent disk instabilities, can disrupt or stall disk formation. Indeed, observations indicate that the internal kinematics of star-forming galaxies at this time have large amounts of disordered motions (as measured by the velocity dispersion of the gas ) in addition to ordered rotation (Vrot) (e.g., Förster Schreiber et al. 2006, 2009; Genzel et al. 2006, 2008; Law et al. 2007, 2009, 2012; Wright et al. 2007; Wright et al. 2009; Shapiro et al. 2008; Lemoine-Busserolle et al. 2010; Jones et al. 2010; Swinbank et al. 2011; Glazebrook 2013; Newman et al. 2013b; Wisnioski et al. 2015; Price et al. 2016; Simons et al. 2016; Mason et al. 2017; Straatman et al. 2017). Regardless, the majority of massive star-forming galaxies, , at this redshift are rotation-dominated (), with at least 70% showing disk-like kinematic signatures (Wisnioski et al. 2015).
However, these galaxies are unlike local disks. Locally, massive star-forming galaxies have much stronger rotational support () and low values of (∼20 km s−1). At a redshift of 2, the quantity rarely exceeds a few, indicating that these galaxies mature significantly in the 10 Gyr between and now.
The evolution of Vrot and from to now was studied by (Kassin et al. 2012) using the DEEP2 survey (Newman et al. 2013a). Over this period, they found that galaxy disks settle with time, increasing in by increasing in Vrot and declining in . This evolution is a function of mass, with massive galaxies developing strong rotational support first (i.e., "kinematic downsizing"; Kassin et al. 2012).
Although significant progress has been made in understanding the kinematic state of star-forming galaxies at even higher redshifts, it is unclear how these lower redshift trends from (Kassin et al. 2012) relate to the large amounts of disordered motions found in galaxies at z = 2. One might not expect a smooth extension to , where the processes governing galaxy assembly are violent and inhospitable to disk formation.
To examine this, or any kinematic evolution, it is important to have a large and homogeneous sample. In addition, the sample must have minimal biases, cover the same galaxy mass range at all redshifts, and ideally have kinematics measured using the same technique. To address these factors, we combine the kinematics samples from the DEEP2 survey (Kassin et al. 2012), which spans , and the SIGMA survey (Simons et al. 2016), which spans . These samples have similar selections. They are both morphologically unbiased (i.e., they do not select only disk-like systems) and they trace the star formation main sequence. Both samples contain enough galaxies to overcome the large intrinsic scatter in galaxy kinematics. Furthermore, measurements were made using the same fitting routine in both surveys. The combined sample covers a large redshift range, , and spans a significant portion of the age of the universe, from 2.6 to 12.4 Gyr. In this paper we quantify the evolution of the properties and their contributions to the total dynamical support. Moreover, we examine how these properties depend on stellar mass.
The format of this paper is as follows. First, in Section 2, we summarize the data sets used and discuss the measurements of kinematics and stellar masses. In Sections 3 and 4 we examine the evolution of galaxy kinematics and the fraction of rotationally supported systems in our sample, respectively, at a fixed stellar mass. Next, in Section 5, we link galaxy populations in time and examine their kinematic evolution. Finally, we summarize our conclusions in Section 6. We adopt a flat ΛCDM cosmology defined with (h, ) = (0.704, 0.272, 0.728).
2. Data
Measurements of the internal kinematics of star-forming galaxies are adopted from Kassin et al. (2012) (from the DEEP2 survey) and Simons et al. (2016) (from the SIGMA survey). Both samples are morphologically unbiased (i.e., not only disk-like systems are selected) and kinematics are measured from rest-optical emission lines that trace the hot ionized T ∼ 104 K gas in galaxies. The galaxies used in this paper are shown in a stellar mass versus star formation rate () diagram in Figure 1. We compare with the star formation main sequence at their respective redshifts (from Speagle et al. 2014) and show that our sample is representative of typical star-forming galaxies over . We note that the galaxies over the redshift range tend to lie slightly above the main sequence. However, the majority of the sample is within the 1σ scatter of the relation at all redshifts.
Below we describe the DEEP2 and SIGMA samples (Sections 2.1 and 2.2, respectively), as well as the measurements of kinematics (Section 2.3), stellar masses, and SFRs (Section 2.4).
2.1. DEEP2 Sample
The intermediate redshift sample () used in this paper is from Kassin et al. (2007) and Kassin et al. (2012, hereafter K12). The sample is briefly discussed here and the reader is referred to K12 for further details. The galaxies in the K12 sample are located in the Extended Groth Strip. Spectra, from which the internal kinematics are measured, are from the DEEP2 survey (Newman et al. 2013a) and were taken with the DEIMOS instrument (Faber et al. 2003) on the Keck II telescope. The slits used were 1'' wide and the spectral resolution was ( km s−1). The nominal on-source exposure times were 1 hr. The spectra were observed in natural optical seeing conditions, which varied between 05 and 12. Galaxies are selected to have bright enough emission lines to measure kinematics (≳10−17 erg s−1 cm−2). In addition, galaxies are required to have V- and I-band imaging from the Hubble Space Telescope/Advanced Camera for Surveys (HST/ACS) instrument. Inclinations were measured from the HST imaging using the SExtractor program (Bertin & Arnouts 1996) in Lotz et al. (2008). Galaxies are selected to have inclinations between , avoiding dust effects in edge-on systems and highly uncertain inclination corrections in face-on systems. Furthermore, galaxies are required to have slits aligned within 40° of the photometric major axes (Weiner et al. 2006; Covington et al. 2010). Following Simons et al. (2015), we apply a conservative selection on the rest-optical HST half-light diameter ( times the FWHM of the seeing). This size selection removes 50 galaxies. The sample used in this paper contains 462 galaxies.
2.2. SIGMA Sample
The high-redshift () sample used in this paper is from the SIGMA kinematics survey (Simons et al. 2016; hereafter S16). The sample is briefly discussed here and we refer to S16 for further details. The galaxies in SIGMA are located in the UDS, GOODS-S, and GOODS-N fields. Spectra were taken with the MOSFIRE spectrograph (McLean et al. 2010, 2012) on the Keck I telescope as a part of the TKRS-2 survey (Wirth et al. 2015) and were also published in Trump et al. (2013) and Barro et al. (2014). The slits were 07 wide and the spectral resolution was ( km s−1). The on-source exposure times ranged between 1.5 and 2 hr and the near-infrared (NIR) seeing varied between 045 and 085. HST/Wide Field Camera 3 (WFC3) imaging is available for all of the galaxies in SIGMA through the CANDELS survey (Grogin et al. 2011; Koekemoer et al. 2011). Axis ratios were measured from the HST/WFC3 H-band image using the GALFIT software (Peng et al. 2010) by van der Wel et al. (2012) and were used to derive inclinations. As in the K12 sample, all galaxies are required to have at least one slit aligned with the photometric position angle and intrinsic emission sizes that are large enough to resolve kinematics ( times the FWHM of the seeing; Simons et al. 2016). We remove four galaxies from the original sample for which inclination corrections were not applied. The sample used in this paper contains 45 galaxies, and a catalog of their physical properties and kinematic measurements is available in S16.
2.3. Kinematic Measurements
Kinematics (rotation velocity Vrot and gas velocity dispersion ) were measured from strong nebular emission lines (Hα and [O iii] λ5007) with the ROTCURVE program (Weiner et al. 2006) in Kassin et al. (2007) and S16 for the DEEP2 and SIGMA surveys, respectively. The measurement technique is briefly discussed here and the reader is referred to Weiner et al. (2006) for details.
Seeing blurs rotation and artificially elevates the velocity dispersion in the center of the galaxy (due to the rise in the rotation curve) and needs to be taken into account in the kinematic modeling. ROTCURVE models the velocity profile of the emission line, taking into account seeing, with two components: an arctangent (arctan) rotation curve and a constant dispersion term. The rotation velocity uncorrected for inclination () is measured at the flat portion of the rotation curve. Recent evidence has suggested that the rotation curves of high-redshift star-forming galaxies fall, instead of flatten, beyond 1.5 effective radii (Genzel et al. 2017; Lang et al. 2017). Our high-redshift data do not extend far enough to distinguish between these two cases. However, there is only a small difference in the maximum velocity derived from a fit to either model. While the flat part of the rotation curve is measured as the asymptote of the arctan model, the change in velocity beyond a few effective radii is negligible (<10%). If we adopt a value of Vrot that is measured at 1.5 Re, the rotation velocities are lowered by ∼0.1 dex. For consistency across redshift, we adopt Vrot as measured at the flat part of the modeled rotation curve in all of our galaxies.
Typical uncertainties on measurements of are approximately 10 km s−1 for DEEP2 and 30 km s−1 for SIGMA. Uncertainties on are approximately 15 km s−1 for DEEP2 and 25 km s−1 for SIGMA. Inclination corrections are applied to the ROTCURVE values using the rest -band axis ratio measured from the HST images (the ACS V- and I-bands in K12 for and , respectively, and the WFC3 H-band in S16 for ).
The gas velocity dispersion integrates small-scale velocity gradients below the seeing limit (Covington et al. 2010; Kassin et al. 2014). It is mostly due to nonordered motions among H ii regions but also includes smaller contributions from thermal broadening (∼10 km s−1 for H gas at 104 K) and the internal turbulence in H ii regions (∼20 km s−1 in local H ii regions; Shields 1990). As in K12, we refer to as tracing "disordered motions."
The quantity Vrot measures the ordered motions of a galaxy while the quantity measures its disordered motions. We follow Weiner et al. (2006) and Kassin et al. (2007) by combining both forms of dynamical support into the quantity . This term serves as a kinematic tracer of the total mass in an isothermal potential (Weiner et al. 2006).
2.4. Stellar Mass and SFR Measurements
Stellar masses () were measured for the galaxies in the K12 sample using absolute B-band magnitudes and rest B−V colors (Bell & de Jong 2001; Bell et al. 2005) with empirical corrections from spectral energy distribution (SED) fitting (Bundy et al. 2006), as in Lin et al. (2007). A Chabrier (2003) IMF was adopted, and the uncertainties in stellar mass are approximately 0.2 dex. SFRs were derived in Noeske et al. (2007). For galaxies with a 24 μm detection, the obscured SFR was measured from the IR luminosity using the SED templates of Chary & Elbaz (2001) and was added to the unobscured component of the SFR, derived from the DEEP2 emission line luminosities (Weiner et al. 2007). Otherwise, the SFR was measured from the extinction-corrected emission line luminosities following the calibration in Kennicutt (1998).
Stellar masses for the galaxies in SIGMA were measured from SED fitting to the UV-optical-NIR data available in the CANDELS fields, as described in Barro et al. (2014). The fit was performed with FAST (Kriek et al. 2009) assuming a Chabrier (2003) IMF, Bruzual & Charlot (2003) stellar population synthesis models, and a Calzetti extinction law (Calzetti et al. 2000). The uncertainties in stellar mass are approximately 0.3 dex (Mobasher et al. 2015). For galaxies with detections in the mid- to far-IR, the SFR was calculated using both the obscured (IR) and unobscured (UV) components (Kennicutt 1998). Otherwise, SFRs were derived from the extinction-corrected UV using the dust parameters of the best-fit SED model.
3. Kinematic Evolution at Fixed Stellar Mass
We use measurements of , and from the K12 and S16 samples to explore the kinematic evolution of star-forming galaxies from to . Bins in equal intervals of lookback time (tL) are adopted, each spanning 1 Gyr. Our conclusions are insensitive to the size of these intervals. We first examine the evolution at a fixed stellar mass for two stellar mass ranges: (hereafter referred to as "low mass") and (hereafter referred to as "high mass"). The ( Gyr) bin in S16 does not include galaxies below and instead encompasses . The high stellar mass bin at is not included as it contains fewer than five galaxies. The removal or inclusion of these bins does not affect our results. We briefly summarize the results of this section below and refer to the subsections for details.
We find a large amount of scatter in the individual measurements of and at a given mass but smooth average trends with mass and time, highlighting the need for a large sample. On average, the rotation velocities of low-mass galaxies rise by a factor of 1.5 from to the present day. High-mass galaxies show little to no evolution in Vrot over the same period. The gas velocity dispersion smoothly declines from to today at a remarkably similar rate in both mass bins. We consider contributions from Vrot and to the total dynamical support, as quantified by . While all galaxies tend toward rotational support with time, it is obtained earlier for galaxies with higher stellar masses. This phenomenon, dubbed "kinematic downsizing," was first shown by K12 to z = 1.2 and we extend it to . This result follows from the facts that does not depend significantly on mass and that low-mass galaxies sit in shallower potential wells than high-mass galaxies.
Low-mass galaxies are delayed in their kinematic development, taking an additional 4–5 Gyr to reach the same level of rotational support as high-mass galaxies. From to , low-mass galaxies are strongly supported by dispersion (). By , high-mass galaxies have developed strong rotational support (), while low-mass galaxies are only reaching a similar level of rotational support today.
It is important to note that galaxies grow in mass over time so these trends at a fixed stellar mass should not be interpreted as tracks for individual galaxy populations.
3.1. Increase in Vrot with Time for Low-mass Galaxies
The evolution of the rotation velocity, Vrot, is shown in the top left panel of Figure 2. The galaxies in our sample span a large range in Vrot at a fixed epoch. This scatter is mostly intrinsic but is due in part to our relatively wide bins in stellar mass (1 dex) and to a lesser extent from measurement uncertainties.
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Standard image High-resolution imageAt all times, the average Vrot is higher for galaxies with a higher stellar mass. We find a mild increase of the average Vrot with time in galaxies with low stellar mass, rising from 50 km s−1 at to 70 km s −1 at . High-mass galaxies show little evolution in Vrot over the same time period. We estimate the standard error on the median Vrot in each bin through bootstrap resampling and perform an uncertainty weighted least-squares fit to the median points with a line:
The best-fit values of the slope and intercept are (i.e., slow rise) and for our low stellar mass bin, and (i.e., no evolution) and for our high stellar mass bin. The intercept value of each mass bin, i.e., a Vrot at , is consistent with the local stellar mass Tully–Fisher relation (90 and 175 km s−1 at and 10.5, respectively; Reyes et al. 2011).
3.2. Smooth Decay of with Time for All Galaxies
The evolution of the gas velocity dispersion, , is shown in the top right panel of Figure 2. As with Vrot, galaxies in our sample span a wide range in at all epochs, largely due to measurement uncertainties.
The galaxies at the highest redshifts have values of that are roughly three times larger than the galaxies at the lowest redshifts (see also Wisnioski et al. 2015). The quantity decreases from 70 to 20 km s−1 over . As first shown in K12, roughly doubles over , which spans approximately 8 Gyr. Although the time from to is much shorter, only 3 Gyr, we find a significant evolution in during this period (see also e.g., Mieda et al. 2016). The median value of σg increases from 40 to 70 km s−1. over this redshift range. We perform a fit to the median relation for our two mass bins with:
The best-fit values are and for the low-mass bin and and for the high-mass bin. There is no significant difference between the evolution of in the low-mass and high-mass bins. This result implies a mass-independent half-life timescale for σg, the time over which it declines by a factor of 2, of approximately 6 Gyr. The intercept values, i.e., at , are consistent with measurements of the ionized gas velocity dispersion in local star-forming disk galaxies ( km s−1, e.g., Epinat et al. 2008).
3.3. Evolution of Dynamical Support, , with Time
In Figure 3 we examine the evolution of , which traces the total dynamical support of galaxies. We fit a line to the median versus lookback time:
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Standard image High-resolution imageThe best-fit slope and intercept values are and for the low-mass bin and and for the high-mass bin. The quantity has marginally declined in low-mass galaxies since —i.e., they now sit in shallower potential wells. However, we measure no significant evolution in high-mass galaxies.
While the fit to the low-mass galaxies indicates a smooth evolution, we caution that the trend is largely driven by the high redshift measurements. The median points below are consistent with a flat slope. The points above are all above this flat line, consistent with a zero-point shift in the modified Tully–Fisher relation at high redshift (Cresci et al. 2009; Price et al. 2016; Straatman et al. 2017; Übler et al. 2017).
3.4. Fraction of Total Dynamical Support Given by Vrot and Over Time
We normalize Vrot and by and measure the relative contributions of ordered and disordered motions, respectively, to the total dynamical support. A thin disk that is supported by rotation will tend toward , and a system that is supported by dispersion will tend toward .
The evolution of is shown in the bottom left panel of Figure 2. K12 showed that rises from to now and is a strong function of mass. We find a smooth extension of these results to .
At all redshifts, high-mass galaxies have higher values of —i.e., they are more rotationally supported than low-mass galaxies. This phenomenon, dubbed kinematic downsizing (K12, S16), is present out to . High-mass galaxies reach a strong level of rotational support () by a lookback time of , or . Low-mass galaxies reach the same degree of rotational support a few Gyr later, by . We fit a line to the median using only the rising part of this relation, which covers in the high-mass bin and in the low-mass bin:
The best-fit slope and intercept are and for the low-mass galaxies and and for the high-mass galaxies. The values for the best-fit slopes are similar and suggest that the low-mass and high-mass galaxies develop rotational support at similar rates. We refit the high-mass galaxies with a slope fixed to the best-fit slope of the low-mass galaxies. At a fixed slope, the high-mass and low-mass trends are offset by 4.3 Gyr. In other words, the assembly of rotational support in the high-mass galaxies is, on average, followed 4–5 Gyr later by a similar kinematic assembly in the low-mass galaxies.
As expected, we find inverted trends in the evolution of (Figure 2, bottom right). On average, declines with time for all galaxies and is always larger for low-mass galaxies. Given that itself does not depend on stellar mass (top right panel), its relative contribution to the total dynamical support will always be larger in galaxies with a lower stellar mass. Beyond , or a lookback time of , low-mass galaxies have large contributions from dispersion (). They progressively decline in dispersion support with time up to the present day. At , both low-mass and high-mass galaxies have low levels of dispersion support () and high levels of rotational support (). We fit a line to the median over the declining part of the relation, covering for high-mass galaxies and for low-mass galaxies:
The best-fit slope and intercept values are and for low-mass galaxies and and for high-mass galaxies. As before, the slopes are statistically identical and suggest that dispersion support declines at similar rates in both mass bins. We refit to the high-mass galaxies with a slope fixed to the low-mass fit and measure an offset between the mass bins of 4.6 Gyr. These results mirror our earlier conclusions and once again suggest that kinematic assembly in low-mass galaxies is delayed from that in high-mass galaxies by Gyr.
4. The Fraction of Galaxies with Rotational Support
We now investigate the fraction of star-forming galaxies with and as a function of time. These two values are arbitrary but serve as relatively lenient benchmarks of rotational support. For perspective, sufficiently massive () star-forming disk galaxies in the local universe tend to have values of when measured through a hot ionized gas tracer such as Hα (Epinat et al. 2008) and when measured through a cold neutral gas tracer such as H i (de Blok et al. 2008; Walter et al. 2008).
We divide our sample into three overlapping bins in a fixed stellar mass: (low mass), (intermediate mass), and (high mass).
Figure 4 (left) shows the evolution of the fraction of galaxies with . As first reported by K12 to , this fraction increases with time for all galaxies and is always higher at higher stellar masses. The SIGMA sample extends these trends to . The fraction of galaxies in SIGMA with for the low-, intermediate-, and high-mass bins is 49(±15)%, 51(±12)%, and 70(±13)%, respectively, at . That is, about half of the star-forming galaxies in the low- and intermediate-mass bins have dominant contributions from . The standard error on the reported fractions is calculated via bootstrap resampling. Measurement uncertainties will push individual galaxies above or below the threshold in , and we account for this by perturbing the values of Vrot and by their associated errors on each draw.
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Standard image High-resolution imageIn Figure 4 (right), the fraction of galaxies that have is shown. The fraction of galaxies in SIGMA at z = 2 that meet this benchmark for the low-, intermediate-, and high-mass bins is only 15(±10)%, 11(±8)%, and 30(±13)%, respectively.
We fit the evolution of both of these fractions, F, with:
The best-fit slope and intercept for F() are and for low-mass galaxies, and for intermediate-mass galaxies, and and for high-mass galaxies. Similarly, the best-fit values for F() are and for low-mass galaxies, and for intermediate-mass galaxies, and and for high-mass galaxies.
By z = 0.2, more than 70% of star-forming galaxies with have reached and more than 90% have reached . Even at z = 2, most of the sample shows some degree of rotation. More than half of the galaxies at this redshift have . However, these galaxies are unlike local rotating galaxies, whose often exceeds 5. The redshift at which 35% of galaxies have is z = 1, 1.5, and 2.6 for the low-, intermediate-, and high-mass bins, respectively. Kinematic analogs of local well-ordered disk galaxies are rare at . At this redshift, only 7 (16%) and 2 (4%) of the galaxies in our sample reach and , respectively.
4.1. Comparison with the Literature
In Figure 4 (left) we compare our measurements with those in the literature. Any comparison between surveys is complicated due in large part to differences in sample selection and measurement techniques. We refrain from performing detailed corrections between the samples and only report here a straightforward comparison. We include measurements from the following surveys: IMAGES at z ∼ 0.6 (Flores et al. 2006; Yang et al. 2008; Neichel et al. 2008; Puech et al. 2007, 2008), KROSS at (Stott et al. 2016), KMOS-3D at and (Wisnioski et al. 2015), MASSIV at (Contini et al. 2012), AMAZE/LSD at (Gnerucci et al. 2011), and the KMOS Deep survey (KDS) survey at (Turner et al. 2017). The adopted measurements are briefly described below. To account for differences in the stellar mass of galaxies in each sample, we color-code each by its approximate mass coverage. Our sample and the literature measurements are in good agreement once we account for stellar mass.
The IMAGES sample contains 68 galaxies at 0.4 < z < 0.8 over a stellar mass range 10.0 < log M*/M⊙ < 11.0. Measurements of Vrot and σg are taken from Puech et al. 2007, 2008; M. Puech, private communication. The KROSS sample covers the redshift range of and a stellar mass range of . A catalog of kinematic measurements for 586 typical star-forming galaxies was released in Harrison et al. (2017). We use this catalog to calculate the fraction of resolved galaxies in KROSS that have rotation velocities that exceed their intrinsic velocity dispersions. We adopt mass bins that overlap our sample and these are shown as separate points in Figure 4. The first-year sample from the KMOS-3D survey contains 191 star-forming galaxies in two redshift intervals: and . These galaxies cover a stellar mass range of at and at . Wisnioski et al. (2015) report the fraction of galaxies in their sample with rotationally supported kinematics as 93% and 74% at and , respectively. We include the sample of 48 MASSIV galaxies from Vergani et al. (2012), covering and a stellar mass range of . We adopt the measurements in their Table 2 and calculate a rotation-dominated fraction of 65%. We include the high redshift sample from the AMAZE/LSD survey of 33 galaxies over and a stellar mass range of . Gnerucci et al. (2011) report that 33% of the AMAZE galaxies can be classified as rotation-dominated. Finally, we include results from the KDS at (Turner et al. 2017), which covers a mass range of . Turner et al. (2017) report that 13/32 of the isolated field galaxies in this sample are rotation-dominated. We remove the four galaxies with , three of which are dispersion-dominated, and compute a rotation-dominated fraction of 43% over our mass range.
5. Tracing Galaxy Populations with Abundance Matching
In previous sections of this paper, galaxy trends are reported for a fixed stellar mass. However, as a natural consequence of ongoing star formation and mass accretion, the galaxies in our sample will grow in stellar mass with time and migrate between mass bins. As such, the trends discussed so far should not be interpreted as tracks for individual galaxy populations. In order to trace the evolution of a galaxy population from z = 2.5 to z = 0, we adopt a model linking high-redshift galaxies with their more massive low-redshift descendants.
Galaxy populations are tracked in time using the multi-epoch abundance matching model (Moster et al. 2013), following Papovich et al. (2015). The conclusions of this section are similar if we adopt other abundance matching models from the literature (e.g., Rodriguez-Puebla et al. 2017). The abundance matching technique assumes that there is a monotonic relation between the stellar mass of a galaxy and its halo mass, with the most massive galaxies residing in the most massive halos. Observed stellar mass functions are then rank assigned to simulated halo mass functions at all redshifts and galaxy populations are tracked in time.
Moster et al. (2013) adopt halo and subhalo evolution from the Millennium simulation and stellar mass functions up to from several surveys in the literature (Pérez-González et al. 2008; Li & White 2009; Santini et al. 2012). Fitting functions are provided for the mass accretion history, star formation history, and stellar mass loss rates of galaxies as a function of mass. We integrate these prescriptions in time to track the average stellar mass evolution of galaxy populations. We divide our observational sample into three populations of halo masses of and . These correspond to typical stellar masses of , 10.3, and 11.1, respectively.
The average stellar mass evolution for these three populations is shown in Figure 5. The SIGMA survey does not cover , so the lowest-mass bin does not have coverage beyond . Similarly, the intermediate-mass bin only extends to . We use these tracks to link galaxies in our sample with their appropriate descendants.
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Standard image High-resolution image5.1. Increasing Vrot, Decreasing , and Increasing with Time
Using the abundance matching technique to link galaxy populations in time, we now revisit the evolution of , and in Figures 6 and 7.
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Standard image High-resolution imageThe most striking difference is in the evolution of Vrot. At a fixed stellar mass we measured mild to no evolution in Vrot. However, in Figure 6 (top left) we show that Vrot strongly evolves for the evolving galaxy population: star-forming galaxies spin up with time on average. We use Equation (1) and fit to the median evolution of Vrot in each mass bin. The best-fit slope and the intercept values are and for low-mass galaxies, and for intermediate-mass galaxies, and and for high-mass galaxies. The best-fit slopes are similar and indicate that star-forming galaxies in this mass range have a typical Vrot doubling timescale of ∼6 Gyr, similar to the half-life timescale of at a fixed stellar mass (Section 3.2).
At a fixed galaxy population we again find that dramatically declines with time (Figure 6, top right). The intermediate- and high-mass galaxies trace each other back to , rising from 30 km s−1 at to 45 km s−1 at . The high-mass galaxies, for which we have measurements out to high redshift, reach typical values of km s−1 at .
The evolution of S0.5 for the abundance matched populations is shown in Figure 7. At fixed stellar mass we measured a mild decline in with time. At fixed galaxy population we find that increases with time for all galaxies. This result suggests that, perhaps unsurprisingly, galaxy potential wells steepen as they acquire mass. The quantity declines with time on average, so the additional dynamical support comes from the increase in Vrot.
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Standard image High-resolution imageAs before, we use Equation (3) and fit to the median evolution for each mass bin. The best-fit slope and intercept values are and for the fixed population at low mass, and at intermediate mass, and and at high mass.
We normalize Vrot and by (Figure 6, bottom panels) and find the same general behavior as before: while all galaxy populations increase in rotational support with time (rising in and declining in ), massive galaxies are the most rotationally supported at all times on average. The high-mass population reaches a strong level of rotational support () as far back as , while the intermediate- and low-mass populations reach the same degree of rotational support at and , respectively.
5.2. Fraction of Galaxies with Vrot/σg > 1 and 3 with Time
In Figure 8, we use the linked galaxy populations to revisit how the fraction of galaxies with and 3 evolve with time and galaxy mass.
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Standard image High-resolution imageAs before, at a fixed stellar mass, we find trends that are smooth in both mass and redshift. These results are consistent with kinematic downsizing: more galaxies tend to become rotation-dominated with time and at all times galaxies are more likely to be rotation-dominated at higher mass. As before, this result is due in part to the large decline in with time and its weak dependence on mass. In addition, unlike the case at a fixed stellar mass, there is a contribution from the steep rise in Vrot with time in all galaxy populations and its strong dependence on mass.
We use Equation (6) to fit to the evolution in each mass bin. The best-fit slope and intercept for F() are and at low mass, and at intermediate mass, and and at high mass. For F() the best-fit values are and at low mass, and at intermediate mass, and and at high mass.
The majority of galaxies in these populations have some degree of rotational support (Figure 8, left). More than half of the galaxies in the low-mass bin have at , and the intermediate- and high-mass bins reach similar values at .
However, it is much less common for galaxies to reach at high redshifts (Figure 8, right). Less than 30% of galaxies in the low-mass population have beyond (Figure 8, right), indicating that it would be exceedingly rare for today's LMC-mass galaxies to have strong rotational support at redshifts greater than 1. The intermediate- and high-mass populations drop below 30% at around . The most massive star-forming disks in the local universe ( i.e., the Milky Way and M31-mass galaxies) were likely weakly rotationally supported, , at the peak of cosmic star formation.
6. Discussion and Conclusions
To explore the evolution of internal galaxy kinematics over a continuous period of time from to today, measurements from the DEEP2 survey ( Kassin et al. 2007, 2012) are combined with those from the SIGMA survey ( Simons et al. 2016). The full sample contains 507 star-forming galaxies and covers a mass range of . Our sample is homogeneous and representative of galaxies on the star formation main sequence. There is no selection on morphology. Kinematics were measured using the same software in both surveys. This data set is the largest contiguous and morphologically unbiased sample of kinematics in the literature and extends the work of Kassin et al. (2012) from into the peak of cosmic star formation at .
Kinematics are measured from rest-optical emission lines (Hα, [O iii]λ5007) in slit spectra, which trace hot ionized 104 K gas. Two kinematic quantities are measured: the rotation velocity Vrot, which traces ordered motions, and the gas velocity dispersion , which traces disordered motions. Both of these quantities provide dynamical support and when they are combined into the quantity they trace the depth of galaxy potential wells (Weiner et al. 2006; Kassin et al. 2007; Covington et al. 2010).
Average trends in and Vrot with time are presented for galaxies at a fixed stellar mass. We find a smooth and dramatic decline in since z = 2.5. The time for to decline by a factor of two, or the half-life time, is ∼6 Gyr. Remarkably, this evolution is similar for all masses. Over the same time period, Vrot increases in galaxies with a low stellar mass (), but does not evolve in galaxies with a high stellar mass ().
The fractions of dynamical support provided by rotation and dispersion are measured by taking the ratios of Vrot and to . At a fixed stellar mass, all galaxies on average rise in with time, i.e., they become increasingly supported by rotation. In the same vein, all galaxies on average decline in with time, i.e., they become decreasingly supported by dispersion. While the slopes of these trends ( and with time) are similar for all masses, high-mass galaxies have a higher and a lower at all times. This indicates a time delay in the development of rotational support between low-mass and high-mass galaxies, with low-mass galaxies trailing high-mass galaxies by a few Gyr (i.e., kinematic downsizing Kassin et al. 2012; Simons et al. 2016). This result arises from the independence of on mass: a given value of assumes a more dominant role in the shallower potential wells that host low-mass galaxies.
These results complement studies that track morphological regularity, tracing the stellar structure of galaxies, as a function of mass and redshift. Morphologically regular stellar disks are increasingly common at low redshift () and high mass (e.g., Mortlock et al. 2013; van der Wel et al. 2014; Huertas-Company et al. 2016). For example, Huertas-Company et al. (2016) find that as much as 80% of the stellar mass density at resides in galaxies with disturbed/irregular morphologies.
Galaxies grow in stellar mass with time and so these trends, which are at a fixed stellar mass, should not be interpreted as tracks for individual galaxy populations. To link galaxy populations in time, we adopt an abundance matching model. In doing so, we find that Vrot increases, decreases, and the potential well depth increases with time for all galaxies. The simultaneous rise in and Vrot indicates that galaxies spin up as they assemble their mass. On average, a star-forming galaxy of Milky Way mass that is strongly supported by rotation today () was likely strongly supported by dispersion at (), at a time when it was also much less massive. These results suggest that the assembly of stellar mass and the assembly of rotational support are contemporaneous and that the processes that govern stellar mass assembly at late times should also promote disk formation. These processes likely include, but are not limited to, the accretion of mass and the (re-)formation of disks in gas-rich interactions (e.g., Robertson et al. 2006; Governato et al. 2009; Snyder et al. 2015; Hammer et al. 2009, Puech et al. 2012; Rodriguez-Gomez et al. 2017), the cessation of misaligned or destructive mergers (e.g., Aumer et al. 2013), and a transition in the mode of star formation from one that is bursty and violent at high redshift to one that is relatively calm and stable at low redshift (e.g., Ceverino et al. 2017; Ma et al. 2017).
At , the vast majority (90%) of star-forming galaxies are rotation-dominated (). By , the percentage of galaxies with has declined to 50% for low-mass systems () and 70% for high-mass systems (). These measurements are consistent with those in the literature once stellar mass is taken into account. We consider a stronger criterion for rotational support, , and find that the fractions of galaxies meeting this threshold drop below 35% for all masses. For perspective, most sufficiently massive galaxies in the local universe () have while the most massive disks regularly have .
In conclusion, strong rotational support was exceedingly rare at and the kinematic characteristics of local disks, i.e., low and high , were only just beginning to emerge. This epoch is one of disk assembly, as star-forming galaxies are rapidly assembling stellar mass and beginning to develop the first well-ordered disks.
The data presented herein were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California, and NASA. We wish to extend thanks to those of Hawaiian ancestry on whose sacred mountain we are privileged guests. We thank the referee for providing a useful report that has improved this paper. R. C. S. and S. A. K. would like to acknowledge an RSAC grant from the Space Telescope Science Institute. G. F. S. appreciates support from a Giacconi Fellowship at the STScI, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555. S. F. and D. K. acknowledge support from NSF grant AST-0808133 to the University of California at Santa Cruz. This work has made use of the Rainbow Cosmological Surveys Database, which is operated by the Universidad Complutense de Madrid (UCM), partnered with the University of California Observatories at Santa Cruz (UCO/Lick, UCSC). This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013).