J/MNRAS/483/2057 SDSS-IV MaNGA Morphological Catalogues (Fischer+, 2019)
SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogues
and implications for bulge properties and stellar angular momentum
Fischer J.-L., Dominguez Sanchez H., Bernardi M.
<Mon. Not. R. Astron. Soc., 483, 2057-2077 (2019)>
=2019MNRAS.483.2057F 2019MNRAS.483.2057F (SIMBAD/NED BibCode)
ADC_Keywords: Galaxies, photometry ; Galaxy catalogs
Keywords: galaxies: fundamental parameters - galaxies: photometry -
galaxies: structure
Abstract:
We describe the Sloan Digital Sky Survey IV (SDSS-IV) MaNGA (Mapping
Nearby Galaxies at Apache Point Observatory) PyMorph Photometric
(MPP-VAC) and MaNGA Deep Learning Morphology (MDLM-VAC) Value Added
Catalogues. The MPP-VAC provides photometric parameters from Sersic
and Sersic+Exponential fits to the 2D surface brightness profiles of
the MaNGA Data Release 15 (DR15) galaxy sample. Compared to previous
PYMORPH analyses of SDSS imaging, our analysis of the MaNGA DR15
incorporates three improvements: the most recent SDSS images; modified
criteria for determining bulge-to-disc decompositions; and the fits in
MPP-VAC have been eye-balled, and re-fit if necessary, for additional
reliability. A companion catalogue, the MDLM-VAC, provides Deep
Learning-based morphological classifications for the same galaxies.
The MDLM-VAC includes a number of morphological properties (e.g. a
TType, and a finer separation between elliptical and S0 galaxies).
Combining the MPP- and MDLM-VACs allows to show that the MDLM
morphological classifications are more reliable than previous work. It
also shows that single-Sersic fits to late- and early-type galaxies
are likely to return Sersic indices of n=<2 and ≥4, respectively, and
this correlation between n and morphology extends to the bulge
component as well. While the former is well known, the latter
contradicts some recent work suggesting little correlation between
n-bulge and morphology. Combining both VACs with MaNGA's spatially
resolved spectroscopy allows us to study how the stellar angular
momentum depends on morphological type. We find correlations between
stellar kinematics, photometric properties, and morphological type
even though the spectroscopic data played no role in the construction
of the MPP- and MDLM-VACs.
Description:
We use a fitting algorithm called PYMORPH (Vikram et al.
2010MNRAS.409.1379V 2010MNRAS.409.1379V; Meert, Vikram & Bernardi 2013MNRAS.433.1344M 2013MNRAS.433.1344M,
2015MNRAS.446.3943M 2015MNRAS.446.3943M, Cat. J/MNRAS/446/3943, 2016MNRAS.455.2440M 2016MNRAS.455.2440M, Cat.
J/MNRAS/455/2440; Bernardi et al. 2014MNRAS.443..874B 2014MNRAS.443..874B), a PYTHON-based
code that uses Source Extractor (SExtractor; Bertin & Arnouts
1996A&AS..117..393B 1996A&AS..117..393B) and GALFIT (Peng et al. 2002AJ....124..266P 2002AJ....124..266P) to
estimate the structural parameters of galaxies. For a galaxy or
galaxies in one frame, the image, weight image, and point spread
function (PSF) of the image are fed to PYMORPH. PYMORPH uses
SExtractor to define a masked image which is passed to galfit which
then fits a 2D model to the image. For Sersic fits, or for the bulge
component of SerExp fits, n cannot exceed 8. When fitting to a
two-component SerExp model, there is no requirement that the bulge
component be more compact and dominate the light in the inner regions.
That is, it is possible that the algorithm returns a 'bulge' that is
larger than the 'disc'.
The small sample size made it possible to also perform a visual
inspection of all the objects in the DR15 release of MaNGA. On the
basis of this we decided a further re-fit might be justified for some
objects. This happens most frequently for the SerExp fit and also most
frequently for late-type galaxies (LTGs) in which the bulge component
has n∼8 (but large nbulge is not the only reason).
The DR15 MaNGA release includes 4688 galaxy observations. Of these
4688 observations, 16 are not in our MPP-VAC. These were either not
galaxies (6), were too dim (3), or did not have a SDSS-DR14
identification and PSF (7). Thus, MPP-VAC includes 4672 entries for
4599 unique galaxies. Duplicate observations are defined with a match
of 5 arcsec using the RA and Dec. from the MaNGA data cubes (OBJRA and
OBJDEC). We find 61 groups, i.e. there are 61 galaxies with multiple
observations according to our criteria.
File Summary:
--------------------------------------------------------------------------------
FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
table1a.dat 554 4672 g-band extension of the MPP-VAC MaNGA PyMorph
Photometric VAC
table1b.dat 554 4672 r-band extension of the MPP-VAC MaNGA PyMorph
Photometric VAC
table1c.dat 554 4672 i-band extension of the MPP-VAC MaNGA PyMorph
Photometric VAC
table1d.dat 84 4672 SPA angles for the MPP-VAC catalogue
table3.dat 237 4672 MDLM-VAC The MaNGA Deep Learning Morphological
VAC
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table1a.dat table1b.dat table1c.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 I4 --- ID Internal identification number
6- 14 A9 --- MANGA MaNGA identification
16- 26 A11 --- Name MaNGA PLATE-IFU identifier
(NNNNN-NNNNN)
28- 46 I19 --- OName SDSS-DR15 photometric identification
number (objid)
48- 57 F10.6 deg RAdeg Right ascension (J2000)
59- 67 F9.6 deg DEdeg Declination (J2000)
69- 79 F11.9 --- z NSA redshift or SDSS if NSA not
available
81- 91 F11.6 --- Av ?=-999 SDSS extinction
93- 94 I2 --- DUPLGR [0/61] Group identification number
for a galaxy with multiple MaNGA
spectroscopic observations
96 I1 --- DUPLN [0/3] Number of multiple MaNGA
spectroscopic observations associated
with DUPLGR
98 I1 --- DUPLID [0/3] Identification number of the
galaxy in the group DUPLGR
100 I1 --- Fitpref [0/3] Fit preference (1)
102 I1 --- FailS [0/1] Sersic fit fail flag (2)
104-112 F9.4 mag MSmag ?=-999 Total apparent magnitude from
Sersic fit
114-122 F9.4 mag e_MSmag ?=-999 Error on MSmag
124-132 F9.4 mag MStrunc ?=-999 Truncated apparent magnitude
to 7xAhlS
134-142 F9.4 arcsec AhlS ?=-999 Half-light semimajor axis from
Sersic fit
144-152 F9.4 arcsec e_AhlS ?=-999 Error on AhlS
154-162 F9.4 arcsec AhlStrunc ?=-999 Half-light semimajor axis
associated with MStrunc
164-172 F9.4 --- NS ?=-999 Sersic index from Sersic fit
174-182 F9.4 --- e_NS ?=-999 Error on NS
184-192 F9.4 --- BAS ?=-999 Axis ratio
(semiminor/semimajor) from Sersic fit
194-202 F9.4 --- e_BAS ?=-999 Error on BAS
204-212 F9.4 deg PAS ?=-999 Position angle from Sersic fit
214-222 F9.4 deg e_PAS ?=-999 Error on PAS
224-232 F9.4 mag/arcsec2 GALSKYS ?=-999 PYMORPH sky brightness from
Sersic fit
234 I1 --- FailSE [0/1] SerExp fail flag (3)
236-244 F9.4 mag MSEmag ?=-999 Total apparent magnitude from
SerExp fit
246-254 F9.4 mag MSEtrunc ?=-999 Apparent magnitude from the
truncated bulge and disc components
of SerExp fit
256-264 F9.4 arcsec AhlSE ?=-999 Half-light semimajor axis of
the total SerExp fit
266-274 F9.4 arcsec AhlSEtrunc ?=-999 Half-light semimajor axis
associated with MSEtrunc
276-284 F9.4 --- BASE ?=-999 Axis ratio
(semiminor/semimajor) of the total
SerExp fit
286-294 F9.4 --- BTSE ?=-999 B/T (bulge-to-total light
ratio) from SerExp fit
296-304 F9.4 --- BTtrunc ?=-999 B/T from the truncated bulge
and disc components of SerExp fit
306-314 F9.4 mag MSEbmag ?=-999 Bulge apparent magnitude from
SerExp fit
316-324 F9.4 mag e_MSEbmag ?=-999 Error on MSEbmag
326-334 F9.4 mag MSEbtrunc ?=-999 Bulge apparent magnitude
truncated to 7xAhlSEb
336-344 F9.4 arcsec AhlSEb ?=-999 Bulge half-light semimajor axis
from SerExp fit
346-354 F9.4 arcsec e_AhlSEb ?=-999 Error on AhlSEb
356-364 F9.4 arcsec AhlSEbtrunc ?=-999 Bulge half-light semimajor axis
associated with MSEbtrunc
366-374 F9.4 --- NSEb ?=-999 Bulge Sersic index from SerExp
fit (4)
376-384 F9.4 --- e_NSEb ?=-999 Error on NSEb
386-394 F9.4 --- BASEb ?=-999 Bulge axis ratio
(semiminor/semimajor) from SerExp fit
396-404 F9.4 --- e_BASEb ?=-999 Error on BASEb
406-414 F9.4 deg PASEb ?=-999 Bulge position angle from
SerExp fit
416-424 F9.4 deg e_PASEb ?=-999 Error on PASEb
426-434 F9.4 mag MSEdmag ?=-999 Disc apparent magnitude from
SerExp fit
436-444 F9.4 mag e_MSEdmag ?=-999 Error on MSEdmag
446-454 F9.4 mag MSEdtrunc ?=-999 Disc apparent magnitude
truncated to 7xAhlSEd
456-464 F9.4 arcsec AhlSEd ?=-999 Disc half-light semimajor axis
from SerExp fit (it is not the disc
scale)
466-474 F9.4 arcsec e_AhlSEd ?=-999 Error on AhlSEd
476-484 F9.4 arcsec AhlSEdtrunc ?=-999 Disc half-light semimajor axis
associated with MSEdtrunc
486-494 F9.4 --- NSEd ?=-999 Disc Sersic index from SerExp
fit (4)
496-504 F9.4 --- e_NSEd ?=-999 Error on NSEd
506-514 F9.4 --- BASEd ?=-999 Disc axis ratio
(semiminor/semimajor) from SerExp fit
516-524 F9.4 --- e_BASEd ?=-999 Error on BASEd
526-534 F9.4 deg PASEd ?=-999 Disc position angle from SerExp
fit
536-544 F9.4 deg e_PASEd ?=-999 Error on PASEd
546-554 F9.4 mag/arcsec2 GALSYSE ?=-999 PYMORPH sky brightness from
SerExp fit
--------------------------------------------------------------------------------
Note (1): Fit preference as follows:
0 = No preference
1 = Sersic
2 = SerExp
3 = Sersic and SerExp failed
Note (2): Sersic fit fail flag as follows:
0 = Sersic fit passed
1 = Sersic fit failed (due to contamination/peculiarity/bad image or
bad model fit)
Note (3): SerExp fit fail flag as follows:
0 = SerExp fit passed
1 = SerExp fit failed (due to contamination/peculiarity/bad image or
bad model fit)
Note (4): Galaxies with flipped components have NSEb=1 AND NSEd=<1
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table1d.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 I4 --- ID Internal identification number
6- 16 A11 --- Name MaNGA PlateIFU identifier (NNNNN-NNNNN)
18- 36 I19 --- OName SDSS-DR14 photometric identification number
(objid)
38- 47 F10.6 deg RAdeg Right ascension (J2000)
49- 57 F9.6 deg DEdeg Declination (J2000)
59- 66 F8.3 deg PAg ?=-999 SDSS camera g-band column position
angle with respect to North reported in the
primary header of the 'fpC' SDSS images
68- 75 F8.3 deg PAr ?=-999 SDSS camera r-band column position
angle with respect to North reported in the
primary header of the 'fpC' SDSS images
77- 84 F8.3 deg PAi ?=-999 SDSS camera i-band column position
angle with respect to North reported in the
primary header of the 'fpC' SDSS images
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table3.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 I4 --- ID Internal identification number
6- 14 A9 --- MANGA MaNGA identification
16- 26 A11 --- Name MaNGA PLATE-IFU identifier (NNNNN-NNNNN)
28- 46 I19 --- OName SDSS-DR15 photometric identification number
(objid)
48- 57 F10.6 deg RAdeg Right ascension (J2000)
59- 67 F9.6 deg DEdeg Declination (J2000)
69- 79 F11.9 --- z NSA Redshift
81- 82 I2 --- DUPLGR [0/61] Group identification number for galaxies
with multiple MaNGA observations
84 I1 --- DUPLN [0/3] Number of multiple MaNGA observations
associated with DUPLGR
86 I1 --- DUPLID [0/3] Identification number of the galaxy in
the group DUPLGR
88- 95 F8.5 --- TType TType value (1)
97 I1 --- f_TType [0/1] Flag on TType (2)
99-109 F11.9 --- PS0 Probability of being S0 rather than E. Only
meaningful for galaxies with TType=<0
111 I1 --- f_PS0 [0/1] Flag on PS0 (3)
113-132 E20.18 --- Pedgeon Probability of being edge-on
134-153 E20.18 --- PbarGZ2 Probability of having a bar signature (trained
with GZ2 catalogue (Willett et al.
2013MNRAS.435.2835W 2013MNRAS.435.2835W, Cat. J/MNRAS/435/2835)).
Edge-on galaxies should be removed to avoid
contamination
155-174 E20.18 --- PbarN10 Probability of having a bar signature (trained
with N10 catalogue (Nair & Abraham
2010ApJS..186..427N 2010ApJS..186..427N, Cat. J/ApJS/186/427).
No contaminated by edge-on galaxies
176-195 E20.18 --- Pmerg Probability of merger signature (or projected
pair)
197-216 E20.18 --- Pbulge Probability of having a dominant bulge versus
no bulge
218-237 E20.18 --- Pcigar Probability of having cigar shape versus round
shape
--------------------------------------------------------------------------------
Note (1): TType<0 for 'early-type' galaxies. TType>0 for 'late-type' galaxies.
Note (2): Flag on TType as follows:
0 = The TType hasn't been changed after visual inspection
1 = The TType has been changed after visual inspection
Note (3): Flag on PS0 as follows:
0 = The PS0 hasn't been changed after visual inspection
1 = The PS0 has been changed after visual inspection
--------------------------------------------------------------------------------
History:
From electronic version of the journal
(End) Ana Fiallos [CDS] 20-Jul-2022