J/MNRAS/483/1862 Metallicity gradient across the Hubble sequence (Zhuang+, 2019)
A dynamical view on stellar metallicity gradient diversity across the Hubble
sequence with CALIFA.
Zhuang Y., Leaman R., van de Ven G., Zibetti S., Gallazzi A., Zhu L.,
Falcon-Barroso J., Lyubenova M.
<Mon. Not. R. Astron. Soc., 483, 1862-1880 (2019)>
=2019MNRAS.483.1862Z 2019MNRAS.483.1862Z (SIMBAD/NED BibCode)
ADC_Keywords: Galaxies ; Abundances, [Fe/H] ; Rotational velocities ;
Velocity dispersion
Keywords: galaxies: evolution - galaxies: kinematics and dynamics
Abstract:
We analyse radial stellar metallicity and kinematic profiles out to
1Re in 244 CALIFA galaxies ranging from morphological type E to Sd,
to study the evolutionary mechanisms of stellar population gradients.
We find that linear metallicity gradients exhibit a clear correlation
with galaxy morphological type - with early-type galaxies showing the
steepest gradients. We show that the metallicity gradients simply
reflect the local mass-metallicity relation within a galaxy. This
suggests that the radial stellar population distribution within a
galaxy's effective radius is primarily a result of the in situ local
star formation history. In this simple picture, the dynamically
derived stellar surface mass density gradient directly predicts the
metallicity gradient of a galaxy. We show that this correlation and
its scatter can be reproduced entirely by using independent empirical
galaxy structural and chemical scaling relations. Using Schwarzschild
dynamical models, we also explore the link between a galaxy's local
stellar populations and their orbital structures. We find that
galaxies' angular momentum and metallicity gradients show no obvious
causal link. This suggests that metallicity gradients in the inner
disc are not strongly shaped by radial migration, which is confirmed
by the lack of correlation between the metallicity gradients and
observable probes of radial migration in the galaxies, such as bars
and spiral arms. Finally, we find that galaxies with positive
metallicity gradients become increasingly common towards low mass and
late morphological types - consistent with stellar feedback more
efficiently modifying the baryon cycle in the central regions of these
galaxies.
Description:
The Calar Alto Legacy Integral Field Area Survey (CALIFA; Sanchez et
al. 2012A&A...538A...8S 2012A&A...538A...8S; Husemann et al. 2013A&A...549A..87H 2013A&A...549A..87H; Walcher
et al. 2014A&A...569A...1W 2014A&A...569A...1W; Sanchez et al. 2016A&A...594A..36S 2016A&A...594A..36S, Cat.
J/A+A/594/A36) uses the PMAS/PPAK integral field spectrophotometer to
provide the largest and most comprehensive wide-field IFU survey of
galaxies. It covers two overlapping spectral regions, one in the red
(3745-7300Å) with resolution of R=850 (V500 setup) and one in the
blue (3400-4750Å) with R=1650 (V1200 setup). Due to the quality and
completeness of the data, our final sample includes 244 CALIFA
Galaxies from E to Sd morphological types, covering stellar mass range
(109M☉<M*<1012M☉) (for detailed information see
Walcher et al. 2014A&A...569A...1W 2014A&A...569A...1W). We make use of the total stellar
masses inferred from SED fitting to the photometry from UV to IR.
In a previous work, Falcon-Barroso et al. (2017A&A...597A..48F 2017A&A...597A..48F, Cat.
J/A+A/597/A48) extracted the stellar kinematics for every galaxy in a
uniform way using both instrumental setups, i.e. V500 and V1200. For
this analysis we utilize the derived stellar velocity Vlos, velocity
dispersion σ, and their error maps for each galaxy.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
tablea1.dat 63 243 Galaxies metallicity gradients and general
properties
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See also:
J/A+A/594/A36 : CALIFA Survey DR3 list of galaxies (Sanchez+, 2016)
J/A+A/597/A48 : Stellar kinematics in CALIFA survey (Falcon-Barroso+, 2017)
Byte-by-byte Description of file: tablea1.dat
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Bytes Format Units Label Explanations
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1- 13 A13 --- Name Galaxy name
15- 16 A2 --- MType Galaxy morphological type
18- 23 F6.3 [Msun] Mstar Log of stellar mass
25- 30 F6.3 kpc Reff Effective radius
32- 37 F6.3 --- Vrot/sig Rotation velocity to velocity dispersion
ratio
39- 44 F6.3 --- DeltaZ Metallicity gradient (1)
46- 50 F5.3 --- e_DeltaZ Error on DeltaZ
52- 57 F6.3 [-] logZ Logarithmic metallicity gradient
59- 63 F5.3 [-] e_logZ Error on logZ
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Note (1): To fit the metallicity gradients, for each of the 200 trials, we
linearly fit the Z profile within certain radial ranges (1Reff) in
units of Re with the weighted linear least squares routine MPFIT in
IDL (Markwardt 2009ASPC..411..251M 2009ASPC..411..251M). The weights used in fitting the
linear gradient, came from the Z_16 per cent_ and Z_84 per cent_
uncertainty profiles in each trial. The final value of the gradient
and uncertainty comes from the median and standard deviation of the
200 fits.
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History:
From electronic version of the journal
(End) Ana Fiallos [CDS] 19-Jul-2022