Asymmetry between Galaxy Apparent Magnitudes Shows a Possible Tension between Physical Properties of Galaxies and Their Rotational Velocity by Darius McAdam, Lior Shamir

“…The difference is also consistent across several different instruments such as DECam, SDSS, Pan-STARRS, and HST as well as different annotation methods, which include automatic, manual, or crowdsourcing annotations through “Galaxy Zoo”. The observation can also explain other anomalies such as the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mi>o</mi></msub></semantics></math></inline-formula> tension. …”
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RADIO DETECTION OF GREEN PEAS: IMPLICATIONS FOR MAGNETIC FIELDS IN YOUNG GALAXIES by Chakraborti, Sayan, Yadav, Naveen, Cardamone, Carolin, Ray, Alak

“…Green Peas are a new class of young, emission line galaxies that were discovered by citizen volunteers in the Galaxy Zoo project. Their low stellar mass, low metallicity, and very high star formation rates make Green Peas the nearby (z ~ 0.2) analogs of the Lyman break galaxies which account for the bulk of the star formation in the early universe (z ~ 2-5). …”
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Integrating human and machine intelligence in galaxy morphology classification tasks by Beck, MR, Scarlata, C, Fortson, LF, Lintott, CJ, Simmons, BD, Galloway, MA, Willett, KW, Dickinson, H, Masters, KL, Marshall, PJ, Wright, D

“…We demonstrate the effectiveness of such a system through a re-analysis of visual galaxy morphology classifications collected during the Galaxy Zoo 2 (GZ2) project. We reprocess the top-level question of the GZ2 decision tree with a Bayesian classification aggregation algorithm dubbed SWAP, originally developed for the Space Warps gravitational lens project. …”

The Ultraviolet Attenuation Law in Backlit Spiral Galaxies by Keel, W, Manning, A, Holwerda, B, Lintott, C, Schawinski, K

“…We use GALEX, XMM Optical Monitor, and HST data to explore the UV attenuation in the outer parts of spiral disks which are backlit by other UV-bright galaxies, starting with candidates provided by Galaxy Zoo participants. Our analysis incorporates galaxy symmetry, using non-overlapping regions of each galaxy to derive error estimates on the attenuation measurements. …”

When scientists meet the public: an investigation into citizen cyberscience by Darch, P

“…This thesis presents qualitative ethnographic case studies of the communities that have formed around two such projects, climateprediction.net and Galaxy Zoo. By considering these social actors in the broader contexts in which they are situated (historical, institutional, social, scientific), I discuss the co-shaping of the interests of these actors, the nature of the relationships amongst these actors, and the infrastructure of the projects and the purposes and nature of the scientific work performed.…”

Living with Neighbors. V. Better-aligned Spiral+Spiral Galaxy Pairs Show Stronger Star Formation by Woong-Bae G. Zee, Jun-Sung Moon, Sanjaya Paudel, Suk-Jin Yoon

“…In this study, utilizing a meticulously curated sample of nearby (0.02 < z < 0.06) spiral+spiral pairs and an isolated control sample from Sloan Digital Sky Survey Data Release 7, coupled with Galaxy Zoo 2, and an approach to estimate spin–spin alignment (SSA), we systematically compare the impact of relative orientation, $\cos \,\xi $ , on interaction-induced SF. …”
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The ultraviolet attenuation law in backlit spiral galaxies Based in part on observations made with the NASA Galaxy Evolution Explorer. GALEX is operated for NASA by the California... by Keel, W, Manning, A, Holwerda, B, Lintott, C, Schawinski, K

“…We use Galaxy Evolution Explorer, XMM Optical Monitor, and Hubble Space Telescope (HST) data to explore the UV attenuation in the outer parts of spiral disks which are backlit by other UV-bright galaxies, starting with the candidate list of pairs provided by Galaxy Zoo participants. New optical images help to constrain the geometry and structure of the target galaxies. …”

Galaxy Spin Classification. I. Z-wise versus S-wise Spirals with the Chirality Equivariant Residual Network by He Jia, Hong-Ming Zhu, Ue-Li Pen

“…We train the model with Sloan Digital Sky Survey images, with the training labels given by the Galaxy Zoo 1 project. A combination of data augmentation techniques is used during the training, making the model more robust to be applied to other surveys. …”
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Galaxy Morphological Classification of the Legacy Surveys with Deformable Convolutional Neural Networks by Shoulin Wei, Wei Lu, Wei Dai, Bo Liang, Longfei Hao, Zhijian Zhang, Xiaoli Zhang

“…Our method was trained and tested on seven classifications of a data set from Galaxy Zoo DECaLS, achieving a classification accuracy of 94.5%, precision of 94.4%, recall of 94.2%, and an F1 score of 94.3% using macroscopic averaging. …”
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The influence of morphology, AGN and environment on the quenching histories of galaxies by Smethurst, R

“…I then utilise the Galaxy Zoo 2 morphological classifications to obtain a morphology weighted, combined population distribution across each quenching parameter for a sample of galaxies. …”

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. …”