Galaxy and Mass Assembly (GAMA): survey diagnostics and core data release

Driver, Simon P.; Hill, D. T.; Kelvin, Lee S.; Robotham, Aaron S. G.; Liske, J.; Norberg, Peder; Baldry, I. K.; Bamford, Steven P.; Hopkins, A. M.; Loveday, Jon; Peacock, J. A.; Andrae, E.; Bland-Hawthorn, Joss; Brough, Sarah; Brown, M. J. I.; Cameron, Ewan; Ching, J. H. Y.; Colless, Matthew; Conselice, Christopher J.; Croom, S. M.; Cross, N. J. G.; Propris, Roberto De; Dye, S.; Drinkwater, Michael J.; Ellis, S. C.; Graham, Alister W.; Grootes, Meiert W.; Gunawardhana, Madusha; Jones, D. Heath; Kampen, E. van; Maraston, Claudia; Nichol, R. C.; Parkinson, H; Phillipps, S.; Pimbblet, Kevin A.; Popescu, Cristina; Prescott, M.; Roseboom, I. G.; Sadler, E. M.; Sansom, A. E.; Sharp, Robert; Smith, Daniel; Taylor, Edward N.; Thomas, Daniel; Tuffs, R.; Wijesinghe, Dinuka; Dunne, L.; Frenk, Carlos S.; Jarvis, Matt J.; Madore, Barry F.; Meyer, M.; Seibert, Mark; Staveley‐Smith, L.; Sutherland, William J.; Warren, S. J.

doi:10.1111/j.1365-2966.2010.18188.x

Cited by 985 publications

(863 citation statements)

References 97 publications

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“…It also provides information about the quality of the redshift determination by using the probabilistically defined normalized redshift quality scale nQ. Redshifts with nQ > 2 were considered the most reliable (Driver et al 2011). For what concerns SDSS-III data, we used the low-z (LOWZ) and constant mass (CMASS) samples of the Baryon Oscillation Sky Survey (BOSS).…”

Section: Spectroscopic Basementioning

confidence: 99%

“…In order to build the spectroscopic KB we cross-matched the KiDS data with the spectroscopic samples available in the GAMA data release 2 (Driver et al 2011;Liske et al 2015) and SDSS-III data release 9 (Ahn et al 2012;Bolton et al 2012;Chen et al 2012).…”

Section: Spectroscopic Basementioning

confidence: 99%

“…The matching with overlapping spectroscopic surveys such as SDSS (Ahn et al 2012) and GAMA (Galaxy And Mass Assembly) (Driver et al 2011) provides a uniform and well controlled dataset to investigate: a) which method provides the most accurate photo-z estimates, b) whether the combination of different methods might provide useful insights into the accuracy of the final estimates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data

Cavuoti

Tortora

Brescia

et al. 2016

Mon. Not. R. Astron. Soc.

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Photometric redshifts (photo-z's) are fundamental in galaxy surveys to address different topics, from gravitational lensing and dark matter distribution to galaxy evolution. The Kilo Degree Survey (KiDS), i.e. the ESO public survey on the VLT Survey Telescope (VST), provides the unprecedented opportunity to exploit a large galaxy dataset with an exceptional image quality and depth in the optical wavebands. Using a KiDS subset of about 25, 000 galaxies with measured spectroscopic redshifts, we have derived photo-z's using i) three different empirical methods based on supervised machine learning, ii) the Bayesian Photometric Redshift model (or BPZ), and iii) a classical SED template fitting procedure (Le PHARE). We confirm that, in the regions of the photometric parameter space properly sampled by the spectroscopic templates, machine learning methods provide better redshift estimates, with a lower scatter and a smaller fraction of outliers. SED fitting techniques, however, provide useful information on the galaxy spectral type which can be effectively used to constrain systematic errors and to better characterize potential catastrophic outliers. Such classification is then used to specialize the training of regression machine learning models, by demonstrating that a hybrid approach, involving SED fitting and machine learning in a single collaborative framework, can be effectively used to improve the accuracy of photo-z estimates.

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Section: Spectroscopic Basementioning

confidence: 99%

Section: Spectroscopic Basementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data

Cavuoti

Tortora

Brescia

et al. 2016

Mon. Not. R. Astron. Soc.

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“…The target galaxies for the SAMI Galaxy Survey are split into two samples: a volumelimited field and group sample from the Galaxy And Mass Assembly (GAMA; Driver et al 2011) survey G09, G12 and G15 fields (see Fig. 1), and a cluster sample from a set of eight galaxy clusters.…”

Section: The Sami Galaxy Surveymentioning

confidence: 99%

“…Highly multiplexed spectroscopic galaxy surveys, such as the 2dF Galaxy Survey (Colless et al 2001), the Sloan Digital Sky Survey (SDSS; York et al 2000) and the Galaxy And Mass Assembly (GAMA; Driver et al 2011) survey, are powerful tools for investigating galaxy evolution. However, they are limited by only observing a single aperture in the centre of each galaxy, so are inherently unable to investigate the spatially distributed properties of galaxies.…”

Section: Introductionmentioning

confidence: 99%

The SAMI Galaxy Survey: early data release and first science

et al. 2014

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Abstract. The Sydney-AAO Multi-object Integral field spectrograph (SAMI) Galaxy Survey is an ongoing project to obtain spatially resolved spectroscopic observations of ∼3400 galaxies by mid-2016. To date, a total of ∼1000 galaxies have been observed, making the SAMI Galaxy Survey the largest integral field survey in existence. In July 2014 the early data release for the SAMI galaxy Survey occurred, with over 100 galaxies available to the community. The richness of the SAMI dataset allows a vast array of science. We highlight some of the early science results from the project, including the discovery and analysis of galactic winds, the distribution of fast and slow rotating early type galaxies, and the unification of galaxy scaling relations.

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Galaxy And Mass Assembly (GAMA): The M‐Z relation for galaxy groups

et al. 2013

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The stellar mass and metallicity are among the fundamental parameters of galaxies. An understanding of the interplay between those properties as well as their environmental dependence will give us a general picture of the physics and feedback processes ongoing in groups of galaxies. We study the relationships and environmental dependencies between the stellar mass, and gas metallicity for more than 1900 galaxies in groups up to redshift 0.35 using the Galaxy And Mass Assembly (GAMA) survey. Using a control sample of more than 28 000 star-forming field galaxies, we find evidence for a decrement of the gas metallicity for galaxies in groups.

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Galaxy and Mass Assembly (GAMA): survey diagnostics and core data release

Cited by 985 publications

References 97 publications

A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data

A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data

The SAMI Galaxy Survey: early data release and first science

Galaxy And Mass Assembly (GAMA): The M‐Z relation for galaxy groups

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