Retired projects Galaxy Zoo

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1 retired projects

1.1 galaxy zoo 1
1.2 galaxy zoo 2
1.3 galaxy zoo mergers
1.4 galaxy zoo supernovae
1.5 galaxy zoo hubble
1.6 galaxy zoo 4





retired projects
galaxy zoo 1

the original galaxy zoo consisted of data set made of ≈900,000 galaxies imaged sloan digital sky survey. many galaxies, had been assumed take years visitors site work through them all, within 24 hours of launch, website receiving 70,000 classifications hour. in end, more 50 million classifications received project during first year, contributed more 150,000 people. started in july 2007 , retired in 2009.


galaxy zoo 2

this consisted of 250,000 of brightest galaxies sloan digital sky survey. galaxy zoo 2 allowed more detailed classification, shape , intensity or dimness of galactic core, , special section oddities mergers or ring galaxies. sample contained fewer optical oddities. project closed 60 million classifications.


galaxy zoo mergers

this studied role of interacting galaxies. interacting galaxies galaxies exhibit gravitational influence on 1 another. influence exhibited on course of millions or billions of years 2 or more galaxies pass nearby 1 another. near passage of 2 massive structures can cause galaxies distorted , possibly merge. galaxy zoo mergers aimed provide set of tools allowed users randomly sample various sets of simulation parameters in rapid succession showing 8 simulation outputs @ time. started in november 2009 , retired in june 2012.


galaxy zoo supernovae

galaxy zoo used images partner palomar transient factory find supernovae. task in galaxy zoo project catch exploding stars – supernovae. data site provided automatic survey in california @ palomar observatory. astronomers followed on best candidates @ telescopes around world. started in august 2009 , retired in august 2012.


galaxy zoo hubble

the site’s third incarnation, galaxy zoo hubble drew surveys conducted hubble space telescope view earlier epochs of galaxy formation. in these surveys, involve many days of dedicated observing time, can see light galaxies has taken billions of years reach us. idea behind galaxy zoo hubble able compare galaxies galaxies now, giving clear understanding of factors influence growth, whether through mergers, active black holes or star formation. started in april 2010 , retired in september 2012.


in october 2016, study titled: galaxy zoo: morphological classifications 120,000 galaxies in hst legacy imaging accepted publication journal monthly notices of royal astronomical society. abstract begins: present data release paper galaxy zoo: hubble project. third phase in large effort measure reliable, detailed morphologies of galaxies using crowdsourced visual classifications of colour composite images. images in galaxy zoo hubble selected various publicly-released hubble space telescope legacy programs conducted advanced camera surveys, filters probe rest- frame optical emission galaxies out z ≈1.


galaxy zoo 4

the present galaxy zoo (4) combines new imaging sloan digital sky survey distant images yet hubble space telescope candels survey. candels survey makes use of new wide field camera 3 take ultra-deep images of universe. project includes images taken united kingdom infrared telescope in hawaii, completed ukidss project. ukidss largest, deepest survey of sky @ infrared wavelengths. kevin schawinski explained that: 2 sources of data work perfectly: new images sloan give our detailed view of local universe, while candels survey hubble telescope allows deeper universe’s past ever before.


in october 2016, paper accepted publishing in mnras titled: galaxy zoo: quantitative visual morphological classifications 48,000 galaxies candels . abstract states: present quantified visual morphologies of approximately 48,000 galaxies observed in 3 hubble space telescope legacy fields cosmic , near-infrared deep extragalactic legacy survey (candels) , classified participants in galaxy zoo project. 90% of galaxies have z < 3 , observed in rest-frame optical wavelengths candels. each galaxy received average of 40 independent classifications, combine detailed morphological information on galaxy features such clumpiness, bar instabilities, spiral structure, , merger , tidal signatures. apply consensus-based classifier weighting method preserves classifier independence while down-weighting outlying classifications. after analysing effect of varying image depth on reported classifications, provide depth-corrected classifications both preserve information in deepest observations , enable use of classifications @ comparable depths across full survey.








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