J/AJ/159/199 OCCAM. IV. Open cluster abundances using APOGEE DR16 (Donor+, 2020)
The Open Cluster Chemical Abundances and Mapping survey.
IV. Abundances for 128 open clusters using SDSS/APOGEE DR16.
Donor J., Frinchaboy P.M., Cunha K., O'Connell J.E., Prieto C.A.,
Almeida A., Anders F., Beaton R., Bizyaev D., Brownstein J.R., Carrera R.,
Chiappini C., Cohen R., Garcia-Hernandez D.A., Geisler D., Hasselquist S.,
Jonsson H., Lane R.R., Majewski S.R., Minniti D., Bidin C.M., Pan K.,
Roman-Lopes A., Sobeck J.S., Zasowski G.
<Astron. J., 159, 199 (2020)>
=2020AJ....159..199D 2020AJ....159..199D
ADC_Keywords: Clusters, open; Abundances; Radial velocities; Proper motions;
Spectra, infrared
Keywords: Open star clusters ; Galactic abundances ; Milky Way evolution ;
Chemical abundances
Abstract:
The Open Cluster Chemical Abundances and Mapping (OCCAM) survey aims
to constrain key Galactic dynamical and chemical evolution parameters
by the construction of a large, comprehensive, uniform, infrared-based
spectroscopic data set of hundreds of open clusters. This fourth
contribution from the OCCAM survey presents analysis using Sloan
Digital Sky Survey/APOGEE DR16 of a sample of 128 open clusters, 71 of
which we designate to be "high quality" based on the appearance of
their color-magnitude diagram. We find the APOGEE DR16 derived [Fe/H]
abundances to be in good agreement with previous high-resolution
spectroscopic open cluster abundance studies. Using the high-quality
sample, we measure Galactic abundance gradients in 16 elements, and
find evolution of some of the [X/Fe] gradients as a function of age.
We find an overall Galactic [Fe/H] versus Rgc gradient of
-0.068±0.001dex/kpc over the range of 6<Rgc<13.9kpc; however, we
note that this result is sensitive to the distance catalog used,
varying as much as 15%. We formally derive the location of a break in
the [Fe/H] abundance gradient as a free parameter in the gradient fit
for the first time. We also measure significant Galactic gradients in
O, Mg, S, Ca, Mn, Cr, Cu, Na, Al, and K, some of which are measured
for the first time. Our large sample allows us to examine four
well-populated age bins in order to explore the time evolution of
gradients for a large number of elements and comment on possible
implications for Galactic chemical evolution and radial migration.
Description:
Our primary source of chemical abundance and radial velocity (RV) data
is the Sloan sky Digital Survey (SDSS) sixteenth data release (DR16,
H. Jonsson et al. 2020, in preparation) taken as part of the second,
dual-hemisphere phase of Apache Point Observatory Galactic Evolution
Experiment (APOGEE 2; Majewski+ 2017AJ....154...94M 2017AJ....154...94M).
APOGEE is a high-resolution, near-infrared spectroscopic survey
currently operating in both hemispheres, at Apache Point Observatory
(APO, New Mexico) and Las Campanas Observatory (LCO; Chile). The
APOGEE/DR16 data set includes about 430000 stars, collected between
2011 August and 2018 August using the two 300-fiber APOGEE spectrographs.
Our secondary source of data is Gaia DR2 (I/345); we use photometric
and astrometric data, radial velocity measurements, and parallax
values in common with APOGEE.
File Summary:
--------------------------------------------------------------------------------
FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
table1.dat 100 128 Open Cluster Chemical Abundances and Mapping
(OCCAM) DR16 sample - Basic parameters
table2.dat 189 128 OCCAM DR16 sample - Detailed chemistry
--------------------------------------------------------------------------------
See also:
B/ocl : Optically visible open clusters and Candidates (Dias+, 2002-2015)
V/146 : LAMOST DR1 catalogs (Luo+, 2015)
I/347 : Distances to 1.33 billion stars in Gaia DR2 (Bailer-Jones+, 2018)
I/345 : Gaia DR2 (Gaia Collaboration, 2018)
J/A+A/480/79 : Abund. of giants in 5 Galactic clusters (Bragaglia+, 2008)
J/A+A/488/943 : Abundances of giants in 4 Galactic clusters (Sestito+, 2008)
J/AJ/139/1942 : EW of red giants in 6 open clusters (Friel+, 2010)
J/A+A/535/A30 : Chemical abund. of 12 stars in open clusters (Carrera+,2011)
J/AJ/142/59 : Chemical abundance in 10 open clusters (Jacobson+, 2011)
J/A+A/543/A106 : UBVRI photometry in NGC6791 (Brogaard+, 2012)
J/AJ/144/95 : Abund. in stars of the outer galactic disk. IV. (Yong+,2012)
J/A+A/558/A53 : Milky Way survey of star clusters. II. (Kharchenko+, 2013)
J/AJ/145/107 : Zr, Ba, La, and Eu abund. in open clusters (Jacobson+, 2013)
J/MNRAS/446/3556 : O, Na, Ba and Eu abundances in open clusters (MacLean+,2015)
J/AJ/151/144 : ASPCAP weights for 15 APOGEE chem. elements (Garcia+, 2016)
J/A+A/591/A37 : Gaia-ESO Survey. Param. for cluster members (Jacobson+,2016)
J/A+A/603/A2 : Gaia-ESO Survey abund. radial distribution (Magrini+, 2017)
J/A+A/618/A93 : Gaia DR2 open clusters in Milky Way (Cantat-Gaudin+, 2018)
J/AJ/156/142 : Paper II: Cluster abund. for APOGEE SDSS DR14 (Donor+, 2018)
J/AJ/156/84 : APOGEE-2 survey of Orion Complex. II. (Kounkel+, 2018)
J/A+A/623/A80 : Open clusters in APOGEE and GALAH surveys (Carrera+, 2019)
J/A+A/628/A54 : Fe, Mg, Ti in Galactic clusters (Kovalev+, 2019)
J/MNRAS/490/1821 : Abundances for stars in 18 open clusters (Casamiquela+,2019)
J/A+A/635/A8 : Differential abundances open clusters (Casamiquela+, 2020)
http://www.sdss.org/dr16/ : SDSS DR16 homepage
Byte-by-byte Description of file: table1.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 13 A13 --- Name Cluster name
15- 15 I1 --- q_Name [0/2] Visual quality flag (0=potentially
unreliable; otherwise: "high quality")
17- 24 F8.4 deg GLON [21/356] Galactic longitude
26- 33 F8.4 deg GLAT [-24/33] Galactic latitude
35- 39 F5.1 arcmin Rad [2.4/150] Cluster radius
(from Dias+, 2002-2015, B/ocl)
41- 44 F4.2 Gyr Age [0/6.03]? Milky Way Star Cluster (MWSC,
Kharchenko+, 2013, J/A+A/558/A53) catalog
cluster age
46- 50 F5.2 kpc Rgc [4.8/20.7] Galactocentric radius
52- 57 F6.2 mas/yr pmRA [-11.1/23.4] Average proper motion in RA (1)
59- 62 F4.2 mas/yr e_pmRA [0.01/0.42] The 1-σ uncertainty in pmRA (1)
64- 69 F6.2 mas/yr pmDE [-44.6/5.5] Average proper motion in DEC (1)
71- 74 F4.2 mas/yr e_pmDE [0.02/0.46] The 1-σ uncertainty in pmDE (1)
76- 81 F6.1 km/s HRV [-136/105] Heliocentric radial velocity
83- 86 F4.1 km/s e_HRV [0/13.7] Uncertainty in HRV
88- 92 F5.2 [Sun] Fe/H [-0.49/0.39] Cluster average [Fe/H]
94- 97 F4.2 [Sun] e_Fe/H [0.01/0.06] Uncertainty in Fe/H
99-100 I2 --- N* [1/79] Number of APOGEE stars in cluster
--------------------------------------------------------------------------------
Note (1): From the 2D Gaussian fit, as in OCCAMII (Paper II;
Donor+, 2018, J/AJ/156/142).
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table2.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 13 A13 --- Name Cluster name
15- 19 F5.2 [Sun] Fe/H [-0.49/0.39] Cluster average [Fe/H]
21- 24 F4.2 [Sun] e_Fe/H [0.01/0.06] Uncertainty in Fe/H
26- 30 F5.2 [Sun] O/Fe [-0.14/0.2]? Cluster average [O/Fe]
32- 35 F4.2 [Sun] e_O/Fe [0.01/0.12]? Uncertainty in O/Fe
37- 41 F5.2 [Sun] Na/Fe [-1.79/0.36]? Cluster average [Na/Fe]
43- 46 F4.2 [Sun] e_Na/Fe [0.03/0.68]? Uncertainty in Na/Fe
48- 52 F5.2 [Sun] Mg/Fe [-0.45/0.19] Cluster average [Mg/Fe]
54- 57 F4.2 [Sun] e_Mg/Fe [0.01/0.13] Uncertainty in Mg/Fe
59- 63 F5.2 [Sun] Al/Fe [-0.43/0.18] Cluster average [Al/Fe]
65- 68 F4.2 [Sun] e_Al/Fe [0.02/0.24] Uncertainty in Al/Fe
70- 74 F5.2 [Sun] Si/Fe [-0.46/0.29] Cluster average [Si/Fe]
76- 79 F4.2 [Sun] e_Si/Fe [0.01/0.19] Uncertainty in Si/Fe
81- 85 F5.2 [Sun] S/Fe [-0.1/0.36]? Cluster average [S/Fe]
87- 90 F4.2 [Sun] e_S/Fe [0.02/0.42]? Uncertainty in S/Fe
92- 96 F5.2 [Sun] K/Fe [-1.99/0.33]? Cluster average [K/Fe]
98-101 F4.2 [Sun] e_K/Fe [0.02/0.29]? Uncertainty in K/Fe
103-107 F5.2 [Sun] Ca/Fe [-0.24/0.55] Cluster average [Ca/Fe]
109-112 F4.2 [Sun] e_Ca/Fe [0.01/0.19] Uncertainty in Ca/Fe
114-118 F5.2 [Sun] Ti/Fe [-0.26/0.16]? Cluster average [Ti/Fe]
120-123 F4.2 [Sun] e_Ti/Fe [0.01/0.21]? Uncertainty in Ti/Fe
125-129 F5.2 [Sun] V/Fe [-1.13/0.53]? Cluster average [V/Fe]
131-134 F4.2 [Sun] e_V/Fe [0.03/0.56]? Uncertainty in V/Fe
136-140 F5.2 [Sun] Cr/Fe [-0.41/0.57]? Cluster average [Cr/Fe]
142-145 F4.2 [Sun] e_Cr/Fe [0.02/0.22]? Uncertainty in Cr/Fe
147-151 F5.2 [Sun] Mn/Fe [-0.2/0.36]? Cluster average [Mn/Fe]
153-156 F4.2 [Sun] e_Mn/Fe [0.01/0.13]? Uncertainty in Mn/Fe
158-162 F5.2 [Sun] Co/Fe [-1.01/0.19]? Cluster average [Co/Fe]
164-167 F4.2 [Sun] e_Co/Fe [0.03/0.6]? Uncertainty in Co/Fe
169-173 F5.2 [Sun] Ni/Fe [-0.17/0.11] Cluster average [Ni/Fe]
175-178 F4.2 [Sun] e_Ni/Fe [0.01/0.15] Uncertainty in Ni/Fe
180-184 F5.2 [Sun] Cu/Fe [-0.72/0.44]? Cluster average [Cu/Fe]
186-189 F4.2 [Sun] e_Cu/Fe [0.03/0.3]? Uncertainty in Cu/Fe
--------------------------------------------------------------------------------
History:
From electronic version of the journal
References:
Donor et al. Paper II. 2018AJ....156..142D 2018AJ....156..142D Cat. J/AJ/156/142
(End) Prepared by [AAS], Coralie Fix [CDS], 28-May-2020