Galaxy and mass assembly (GAMA): End of survey report and data release 2

By J. Liske, I. Baldry, S. Driver, R. Tuffs, M. Alpaslan, E. Andrae, S. Brough, Michelle E. Cluver, M. Grootes, M. Gunawardhana and 60 more. 2015

389 citations recorded by the source corpus.

The Galaxy And Mass Assembly (GAMA) survey is one of the largest contemporary spectroscopic surveys of low redshift galaxies. Covering an area of ∼286 deg2 (split among five survey regions) down to a limiting magnitude of r < 19.8 mag, we have collected spectra and reliable redshifts for 238 000 objects using the AAOmega spectrograph on the Anglo-Australian Telescope. In addition, we have assembled imaging data from a number of independent surveys in order to generate photometry spanning the wavelength range 1 nm–1 m. Here, we report on the recently completed spectroscopic survey and present a series of diagnostics to assess its final state and the quality of the redshift data. We also describe a number of survey aspects and procedures, or updates thereof, including changes to the input catalogue, redshifting and re-redshifting, and the derivation of ultraviolet, optical and near-infrared photometry. Finally, we present the second public release of GAMA data. In this release, we provide input catalogue and targeting information, spectra, redshifts, ultraviolet, optical and near-infrared photometry, single-component Sersic fits, stellar masses, Hα-derived star formation rates, environment information, and group properties for all galaxies with r < 19.0 mag in two of our survey regions, and for all galaxies with r < 19.4 mag in a third region (72 225 objects in total). The data base serving these data is available at http://www.gama-survey.org/.

Subfields: Astronomy and Astrophysics, Instrumentation

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Citations in the corpus

Learning to predict the cosmological structure formation (2018, methodology): “To quantify our comparison further, we calculate the relative 3PCF residual deﬁned as | ζ ‘ ( r 1 , r 2 ) true | [5] where N r is the number of ( r 1 , r 2 ) bins.”
Galaxy Interactions Trigger Rapid Black Hole Growth: an unprecedented view from the Hyper Suprime-Cam Survey (2017, background): “…surveys such as VIKING/VIDEO; UKIDSS; Spitzer and WISE; and optical spectroscopic surveys such as SDSS Legacy/BOSS, PRIMUS (Coil et al. 2011), VIPERS (Guzzo et al. 2014), GAMA ((Liske et al. 2015), Wiggle-Z (Drinkwater et al. 2010), COSMOS (Lilly et al. 2009), and DEEP2 (Newman et al. 2013).”
Second data release of the Hyper Suprime-Cam Subaru Strategic Program (2019, neutral): “As mentioned earlier, there have been major pipeline updates since then, and PDR2 is processed with hscPipe v6.”
Photometric Redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1 (2017, neutral): “…2016), FMOS-COSMOS (Silverman et al. 2015), VVDS (Le Fèvre et al. 2013), VIPERS PDR1 (Garilli et al. 2014), SDSS DR14 (Alam et al. 2015), GAMA DR2 (Liske et al. 2015), WiggleZ DR1 (Drinkwater et al. 2010), DEEP2/3 DR4 (Davis et al. 2003; Cooper et al. 2011; Cooper et al. 2012; Newman et al.…”
The SAGA Survey. I. Satellite Galaxy Populations around Eight Milky Way Analogs (2017, methodology): “GAMA Survey: We include spectroscopy from the DR2 GAMA survey (Liske et al. 2015) which provides an additional 1995 spectra within the virial radius of 3 unique Milky Way analog hosts.”
The first and second data releases of the Kilo-Degree Survey (2015, methodology): “The KB of spectroscopic redshifts was obtained by merging the spectroscopic datasets from GAMA data release 2 (Liske et al. 2015) and SDSS-III data release 9 (Ahn et al. 2012), while for the KiDS photometry two different aperture magnitudes were adopted.”
UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10 (2018, background): “While Bauer et al. (2013) did not provide average SSFR constraints directly, they released a public catalog of SSFRs (included in Liske et al. 2015), from which we computed averages.”
Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data (2018, background): “There are a number of spectroscopic redshift (spec-z hereafter) surveys that overlap with the HSC footprint, such as GAMA (Liske et al. 2015) and VVDS (Le Fèvre et al. 2013).”
KiDS+GAMA : cosmology constraints from a joint analysis of cosmic shear, galaxy-galaxy lensing, and angular clustering (2017, methodology): “We used the KiDS galaxies to measure the cosmic shear correlation functions, and to measure the tangential shear around the foreground galaxies from the GAMA survey (Driver et al. 2009, 2011; Liske et al. 2015).”
KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering (2017, methodology): “In that work, cosmic shear measurements from KiDS-450 are combined with galaxy–galaxy lensing and angular clustering from GAMA (Liske et al. 2015).”