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J/AJ/153/259 The GAMBLES extension of the SLoWPoKES catalog (Oelkers+, 2017)
The following files can be converted to FITS (extension .fit or fit.gz)
table1.dat table2.dat table3.dat
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Query from: http://vizier.cds.unistra.fr/viz-bin/VizieR?-source=J/AJ/153/259
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drwxr-xr-x 68 cats archive 4096 Mar 8 2019 [Up]
drwxr-xr-x 4 cats archive 4096 Jan 13 2023 [TAR file]
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-r--r--r-- 1 cats archive 15318 Nov 20 2017 ReadMe
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-r--r--r-- 1 cats archive 98283 Aug 22 2017 table1.dat [txt] [txt.gz] [fits] [fits.gz] [html]
-r--r--r-- 1 cats archive 55929 Aug 22 2017 table2.dat [txt] [txt.gz] [fits] [fits.gz] [html]
-r--r--r-- 1 cats archive 28236 Aug 22 2017 table3.dat [txt] [txt.gz] [fits] [fits.gz] [html]
Beginning of ReadMe :J/AJ/153/259 The GAMBLES extension of the SLoWPoKES catalog (Oelkers+, 2017)
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Gaia Assorted Mass Binaries Long Excluded from SLoWPoKES (GAMBLES): identifying
ultra-wide binary pairs with components of diverse mass.
Oelkers R.J., Stassun K.G., Dhital S.
<Astron. J., 153, 259-259 (2017)>
=2017AJ....153..259O (SIMBAD/NED BibCode)
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ADC_Keywords: Stars, double and multiple ; Cross identifications ;
Photometry, SDSS ; Proper motions ; Stars, distances ;
Stars, masses
Keywords: binaries: visual - catalogs - methods: statistical
Abstract:
The formation and evolution of binary star systems are some of the
remaining key questions in modern astronomy. Wide binary pairs
(separations >10^3^au) are particularly intriguing because their low
binding energies make it difficult for the stars to stay
gravitationally bound over extended timescales, and thus to probe the
dynamics of binary formation and dissolution. Our previous SLoWPoKES
catalogs, I and II, provided the largest and most complete sample of
wide-binary pairs of low masses. Here we present an extension of these
catalogs to a broad range of stellar masses: the Gaia Assorted Mass
Binaries Long Excluded from SloWPoKES (GAMBLES), comprising 8660
statistically significant wide pairs that we make available in a
living online database. Within this catalog we identify a subset of
543 long-lived (dissipation timescale >1.5Gyr) candidate binary pairs,
of assorted mass, with typical separations between 10^3^ and 10^5.5^
au (0.002-1.5pc), using the published distances and proper motions
from the Tycho-Gaia Astrometric Solution and Sloan Digital Sky Survey
photometry. Each pair has at most a false positive probability of
0.05; the total expectation is 2.44 false binaries in our sample.
Among these, we find 22 systems with 3 components, 1 system with 4
components, and 15 pairs consisting of at least 1 possible red giant.
We find the largest long-lived binary separation to be nearly 3.2pc;
even so, >76% of GAMBLES long-lived binaries have large binding
energies and dissipation lifetimes longer than 1.5Gyr. Finally, we
find that the distribution of binary separations is clearly bimodal,
corroborating the findings from SloWPoKES and suggesting multiple
pathways for the formation and dissipation of the widest binaries in
the Galaxy.
Description:
We identify systems previously excluded in the Sloan Low-mass Pairs of
Kinematically Equivalent Stars (SLoWPoKES; Dhital et al. 2010, Cat.
J/AJ/139/2566; Dhital et al. 2015, Cat. J/AJ/150/57) sample: high- to
medium-mass wide-binary pairs. We use the proper motions, parallaxes,
and positions from the first Gaia data release, combined with the
photometry, astrometry, and proper motions from SDSS to identify
binary pairs between multiple Tycho-2 stars and between Tycho-2 and
SDSS point sources. We call this extension of the SLoWPoKES catalog
the Gaia Assorted Mass Binaries Long Excluded from SLoWPoKES
(GAMBLES).
Table1 provides the position and magnitude information for each
long-lived wide binary in the GAMBLES sample; Table2 provides the
proper motion, distance and Galactic model information for each
long-lived wide binary in the GAMBLES sample; and Table3 provides the
estimated physical quantities for each long-lived binary in the
GAMBLES sample. Quantities for GAMBLES binaries that are not in the
final sample can be found on the Filtergraph portal with the URL
https://filtergraph.com/gambles.