Galaxy Zoo Supernovae by Smith, A, Lynn, S, Sullivan, M, Lintott, C, Nugent, P, Botyanszki, J, Kasliwal, M, Quimby, R, Bamford, S, Fortson, L, Schawinski, K, Hook, I, Blake, S, Podsiadlowski, P, Joensson, J, Gal-Yam, A, Arcavi, I, Howell, D, Bloom, J, Jacobsen, J, Kulkarni, SR, Law, N, Ofek, E, Walters, R

“…This paper presents the first results from a new citizen science project: Galaxy Zoo Supernovae. This proof of concept project uses members of the public to identify supernova candidates from the latest generation of wide-field imaging transient surveys. …”

Galaxy Zoo Supernovae by Smith, A, Lynn, S, Sullivan, M, Lintott, C, Nugent, P, Botyanszki, J, Kasliwal, M, Quimby, R, Bamford, S, Fortson, L, Schawinski, K, Hook, I, Blake, S, Podsiadlowski, P, Jönsson, J, Gal-Yam, A, Arcavi, I, Howell, D, Bloom, J, Jacobsen, J, Kulkarni, SR, Law, N, Ofek, E, Walters, R

“…This paper presents the first results from a new citizen science project: Galaxy Zoo Supernovae. This proof-of-concept project uses members of the public to identify supernova candidates from the latest generation of wide-field imaging transient surveys. …”

Galaxy Zoo: Bars in Disk Galaxies by Masters, K, Nichol, R, Hoyle, B, Lintott, C, Bamford, S, Edmondson, E, Fortson, L, Keel, W, Schawinski, K, Smith, A, Thomas, D

“…We present first results from Galaxy Zoo 2, the second phase of the highly successful Galaxy Zoo project (www.galaxyzoo.org). …”

Galaxy Zoo: Morphological Classification and Citizen Science by Fortson, L, Masters, K, Nichol, R, Borne, K, Edmondson, E, Lintott, C, Raddick, J, Schawinski, K, Wallin, J

“…We provide a brief overview of the Galaxy Zoo and Zooniverse projects, including a short discussion of the history of, and motivation for, these projects as well as reviewing the science these innovative internet-based citizen science projects have produced so far. …”

Galaxy Zoo: Mergers - Dynamical models of interacting galaxies by Holincheck, A, Wallin, J, Borne, K, Fortson, L, Lintott, C, Smith, A, Bamford, S, Keel, W, Parrish, M

Galaxy Zoo: CANDELS Barred Disks and Bar Fractions by Simmons, B, Melvin, T, Lintott, C, Masters, K, Willett, K, Keel, W, Smethurst, R, Cheung, E, Nichol, R, Schawinski, K, Rutkowski, M, Kartaltepe, J, Bell, E, Casteels, K, Conselice, C, Almaini, O, Ferguson, H, Fortson, L, Hartley, W, Kocevski, D, Koekemoer, A, McIntosh, D, Mortlock, A, Newman, J, Ownsworth, J

“…From within a sample of 876 disk galaxies identified by visual classification in Galaxy Zoo, we identify 123 barred galaxies. Selecting a sub-sample within the same region of the evolving galaxy luminosity function (brighter than L*), we find that the bar fraction across the redshift range 0.5< z < 2 (f_bar = 10.7 +6.3 -3.5% after correcting for incompleteness) does not significantly evolve. …”

Galaxy Zoo: Finding offset discs and bars in SDSS galaxies by Kruk, S, Lintott, C, Simmons, B, Bamford, S, Cardamone, C, Fortson, L, Hart, R, Häußler, B, Masters, K, Nichol, R, Schawinski, K, Smethurst, R

“…We use multi-wavelength SDSS images and Galaxy Zoo morphologies to identify a sample of $\sim$$270$ late-type galaxies with an off-centre bar. …”

Galaxy Zoo: Morphological classification of galaxy images from the Illustris simulation by Dickinson, H, Fortson, L, Lintott, C, Scarlata, C, Willett, K, Bamford, S, Beck, M, Cardamone, C, Galloway, M, Simmons, B, Keel, W, Kruk, S, Masters, K, Vogelsberger, M, Torrey, P, Snyder, G

“…This paper tests how well Illustris achieves this goal across a diverse population of galaxies using visual morphologies derived from Galaxy Zoo citizen scientists. Morphological classifications provided by volunteers for simulated galaxies are compared with similar data for a compatible sample of images drawn from the SDSS Legacy Survey. …”

Galaxy zoo: Probabilistic morphology through Bayesian CNNs and active learning by Walmsley, M, Smith, L, Lintott, C, Gal, Y, Bamford, S, Dickinson, H, Fortson, L, Kruk, S, Masters, K, Scarlata, C, Simmons, B, Smethurst, R, Wright, D

“…We use Bayesian convolutional neural networks and a novel generative model of Galaxy Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. …”

Tasking Citizen Scientists from Galaxy Zoo to Model Galaxy Collisions by Wallin, J, Holincheck, A, Borne, K, Lintott, C, Smith, A, Bamford, S, Fortson, L

Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging by Willett, K, Galloway, M, Bamford, S, Lintott, C, Masters, K, Scarlata, C, Simmons, B, Beck, M, Cardamone, C, Cheung, E, Edmondson, E, Fortson, L, Griffith, R, Haeussler, B, Han, A, Hart, R, Melvin, T, Parrish, M, Schawinski, K, Smethurst, R, Smith, A

“…We present the data release paper for the Galaxy Zoo: Hubble (GZH) project. This is the third phase in a large effort to measure reliable, detailed morphologies of galaxies by using crowdsourced visual classifications of colour composite images. …”

Galaxy Zoo: Quantitative Visual Morphological Classifications for 48,000 galaxies from CANDELS by Simmons, B, Lintott, C, Willett, K, Masters, K, Kartaltepe, J, Häußler, B, Kaviraj, S, Krawczyk, C, Kruk, S, McIntosh, D, Smethurst, R, Nichol, R, Scarlata, C, Schawinski, K, Conselice, C, Almaini, O, Ferguson, H, Fortson, L, Hartley, W, Kocevski, D, Koekemoer, A, Mortlock, A, Newman, J, Bamford, S, Grogin, N, Lucas, R, Hathi, N, McGrath, E, Peth, M, Pforr, J, Rizer, Z, Wuyts, S, Barro, G, Bell, E, Castellano, M, Dahlen, T, Ownsworth, A, Faber, S, Finkelstein, S, Fontana, A, Galametz, A, Grützbauch, R, Koo, D, Lotz, J, Mobasher, B, Mozena, M, Salvato, M, Wiklind, T

“…After analysing the effect of varying image depth on reported classifications, we also provide depth-corrected classifications which both preserve the information in the deepest observations and also enable the use of classifications at comparable depths across the full survey. Comparing the Galaxy Zoo classifications to previous classifications of the same galaxies shows very good agreement; for some applications, the high number of independent classifications provided by Galaxy Zoo provides an advantage in selecting galaxies with a particular morphological profile, while in others the combination of Galaxy Zoo with other classifications is a more promising approach than using any one method alone. …”

Radio Galaxy Zoo: host galaxies and radio morphologies derived from visual inspection by Banfield, J, Wong, O, Willett, K, Norris, R, Rudnick, L, Shabala, S, Simmons, B, Snyder, C, Garon, A, Seymour, N, Middelberg, E, Andernach, H, Lintott, C, Jacob, K, Kapińska, A, Mao, M, Masters, K, Jarvis, M, Schawinski, K, Paget, E, Simpson, R, Klöckner, H, Bamford, S, Burchell, T, Chow, K, Cotter, G, Fortson, L, Heywood, I, Jones, T, Kaviraj, S, López-Sánchez, Á, Maksym, W, Polsterer, K, Borden, K, Hollow, R, Whyte, L

“…We present results from the first twelve months of operation of Radio Galaxy Zoo, which upon completion will enable visual inspection of over 170,000 radio sources to determine the host galaxy of the radio emission and the radio morphology. …”

Tasking Citizen Scientists from Galaxy Zoo to Model Galaxy Collisions: Preliminary Results, Interface, Analysis by Holincheck, A, Wallin, J, Borne, K, Lintott, C, Smith, A, Bamford, S, Fortson, L

Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey by Willett, K, Lintott, C, Bamford, S, Masters, K, Simmons, B, Casteels, K, Edmondson, E, Fortson, L, Kaviraj, S, Keel, W, Melvin, T, Nichol, R, Raddick, M, Schawinski, K, Simpson, R, Skibba, R, Smith, A, Thomas, D

“…We present the data release for Galaxy Zoo 2 (GZ2), a citizen science project with more than 16 million morphological classifications of 304,122 galaxies drawn from the Sloan Digital Sky Survey. …”

Galaxy Zoo DECaLS: detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies by Walmsley, M, Lintott, C, Géron, T, Kruk, S, Krawczyk, C, Willett, KW, Bamford, S, Kelvin, LS, Fortson, L, Gal, Y, Keel, W, Masters, KL, Mehta, V, Simmons, BD, Smethurst, R, Smith, L, Baeten, EM, Macmillan, C

“…We present Galaxy Zoo DECaLS: detailed visual morphological classifications for Dark Energy Camera Legacy Survey images of galaxies within the SDSS DR8 footprint. …”

Galaxy Zoo: An independent look at the evolution of the bar fraction over the last eight billion years from HST-COSMOS by Melvin, T, Masters, K, Lintott, C, Nichol, R, Simmons, B, Bamford, S, Casteels, K, Cheung, E, Edmondson, E, Fortson, L, Schawinski, K, Skibba, R, Smith, A, Willett, K

“…The visual classifications used to identify both the disc sample and to indicate the presence of stellar bars were provided by citizen scientists via the Galaxy Zoo: Hubble (GZH) project. We find that the overall bar fraction decreases by a factor of two, from 22+/-5% at z=0.4 (tlb = 4.2 Gyr) to 11+/-2% at z=1.0 (tlb = 7.8 Gyr), consistent with previous analysis. …”

Galaxy Zoo: Are Bars Responsible for the Feeding of Active Galactic Nuclei at 0.2 < z < 1.0? by Cheung, E, Trump, JR, Athanassoula, E, Bamford, S, Bell, E, Bosma, A, Cardamone, C, Casteels, K, Faber, S, Fang, J, Fortson, L, Kocevski, D, Koo, D, Laine, S, Lintott, C, Masters, K, Melvin, T, Nichol, R, Schawinski, K, Simmons, B, Smethurst, R, Willett, K

“…Our investigation combines data from Chandra and Galaxy Zoo: Hubble (GZH) in the AEGIS, COSMOS, and GOODS-S surveys to create samples of face-on, disc galaxies at 0.2 < z < 1.0. …”

The Green Valley is a Red Herring: Galaxy Zoo reveals two evolutionary pathways towards quenching of star formation in early- and late-type galaxies by Schawinski, K, Urry, C, Simmons, B, Fortson, L, Kaviraj, S, Keel, W, Lintott, C, Masters, K, Nichol, R, Sarzi, M, Ramin, Skibba, Treister, E, Willett, K, Wong, O, Yi, S

“…We use SDSS+\textit{GALEX}+Galaxy Zoo data to study the quenching of star formation in low-redshift galaxies. …”