Galaxy Zoo: kinematics of strongly and weakly barred galaxies by Géron, T, Smethurst, RJ, Lintott, C, Kruk, S, Masters, KL, Simmons, B, Mantha, KB, Walmsley, M, Garma-Oehmichen, L, Drory, N, Lane, RR

“…Our sample, which is divided between strongly and weakly barred galaxies identified via Galaxy Zoo, is the largest that this method has been applied to. …”

Galaxy Zoo: the interplay of quenching mechanisms in the group environment by Smethurst, R, Lintott, C, Bamford, S, Hart, R, Kruk, S, Masters, K, Nichol, R, Simmons, B

“…Here we investigate the detailed morphological structures and star formation histories of a sample of SDSS group galaxies with both classifications from Galaxy Zoo 2 and NUV detections in GALEX. We use the optical and NUV colours to infer the quenching time and rate describing a simple exponentially declining SFH for each galaxy, along with a control sample of field galaxies. …”

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: star-formation versus spiral arm number by Hart, R, Bamford, S, Casteels, K, Kruk, S, Lintott, C, Masters, K

“…We investigate how these different arm types are related to a galaxy's star-formation and gas properties by making use of visual spiral arm number measurements from Galaxy Zoo 2. We combine UV and mid-IR photometry from GALEX and WISE to measure the rates and relative fractions of obscured and unobscured star formation in a sample of low-redshift SDSS spirals. …”

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. …”

Galaxy Zoo: Major galaxy mergers are not a significant quenching pathway by Weigel, A, Schawinski, K, Caplar, N, Carpineti, A, Hart, R, Kaviraj, S, Keel, W, Kruk, S, Lintott, C, Nichol, R, Simmons, B, Smethurst, R

“…In addition to SDSS DR7 and Galaxy Zoo 1 data, we use samples of visually selected major galaxy mergers and post-merger galaxies. …”

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. …”

Galaxy Zoo: Evidence for rapid, recent quenching within a population of AGN host galaxies by Smethurst, R, Lintott, C, Simmons, B, Schawinski, K, Bamford, S, Cardamone, C, Kruk, S, Masters, K, Urry, C, Willett, K, Wong, O

Galaxy Zoo: Secular evolution of barred galaxies from structural decomposition of multi-band images by Kruk, S, Lintott, C, Bamford, S, Masters, K, Simmons, B, Häußler, B, Cardamone, C, Hart, R, Kelvin, L, Schawinski, K, Smethurst, R, Vika, M

“…This sample of $\sim$3,500 nearby ($z<0.06$) galaxies with strong bars selected from the Galaxy Zoo citizen science project is the largest sample of barred galaxies to be studied using photometric decompositions which include a bar component. …”

Galaxy zoo builder: Four-component photometric decomposition of spiral galaxies guided by citizen science by Lingard, TK, Masters, KL, Krawczyk, C, Lintott, C, Kruk, S, Simmons, B, Simpson, R, Bamford, S, Nichol, RC, Baeten, E

Galaxy Zoo: 3D-crowdsourced bar, spiral, and foreground star masks for MaNGA target galaxies by Masters, KL, Krawczyk, C, Shamsi, S, Todd, A, Finnegan, D, Bershady, M, Bundy, K, Cherinka, B, Fraser-McKelvie, A, Krishnarao, D, Kruk, S, Lane, RR, Law, D, Lintott, C, Merrifield, M, Simmons, B, Weijmans, A-M, Yan, R

“…In this paper we present Galaxy Zoo: 3D (GZ:3D) a crowdsourcing project built on the Zooniverse platform that we used to create spatial pixel (spaxel) maps that identify galaxy centres, foreground stars, galactic bars, and spiral arms for 29 831 galaxies that were potential targets of the MaNGA survey (Mapping Nearby Galaxies at Apache Point Observatory, part of the fourth phase of the Sloan Digital Sky Surveys or SDSS-IV), including nearly all of the 10 010 galaxies ultimately observed. …”

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 and SpArcFiRe: Constraints on spiral arm formation mechanisms from spiral arm number and pitch angles by Hart, R, Bamford, S, Hayes, W, Cardamone, C, Keel, W, Kruk, S, Lintott, C, Masters, K, Simmons, B, Smethurst, R

“…In this paper we study the morphological properties of spiral galaxies, including measurements of spiral arm number and pitch angle. Using Galaxy Zoo 2, a stellar mass-complete sample of 6,222 SDSS spiral galaxies is selected. …”

Evolution of barred galaxies and associated structures by Kruk, S

“…</p> <p>In order to test how bars affect their host galaxies, I study the discs, bars and bulges of what is currently the largest sample of barred galaxies (~3,500), selected with visual morphologies from the Galaxy Zoo project. I perform multi-wavelength and multi-component photometric decomposition, with the novel GALFITM software. …”