Schawinski, Kevin

Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey ★

Lintott, C. J., Schawinski, K., Slosar, A., Land, K., Bamford, S., Thomas, D., Raddick, M. J., Nichol, R. C., Szalay, A., Andreescu, D., et al. (2008) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 1,488

Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey

Willett, K. W., Lintott, C. J., Bamford, S. P., Masters, K. L., Simmons, B. D., Casteels, K. R. V., Edmondson, E. M., Fortson, L. F., Kaviraj, S., Keel, W. C., et al. (2013) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 659

Planet Hunters IX. KIC 8462852 - Where's the Flux?

Boyajian, T. S., LaCourse, D. M., Rappaport, S. A., Fabrycky, D., Fischer, D. A., Gandolfi, D., Kennedy, G. M., Korhonen, H., Liu, M. C., Moor, A., et al. (2016) · Monthly Notices of the Royal Astronomical Society

Stellar, planetary, and galactic studiesAstronomy and Astrophysical Research

Cited by 291

Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit

Schawinski, K., Zhang, C., Zhang, H., Fowler, L., & Santhanam, G. K. (2017) · Monthly Notices of the Royal Astronomical Society: Letters

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 246

Using transfer learning to detect galaxy mergers

Ackermann, S., Schawinski, K., Zhang, C., Weigel, A. K., & Turp, M. D. (2018) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

Cited by 137

Galaxy Morphology Network: A Convolutional Neural Network Used to Study Morphology and Quenching in ∼100,000 SDSS and ∼20,000 CANDELS Galaxies

Ghosh, A., Urry, C. M., Wang, Z., Schawinski, K., Turp, D., & Powell, M. C. (2020) · The Astrophysical Journal

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 58

psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light

Stark, D., Launet, B., Schawinski, K., Zhang, C., Koss, M., Turp, M. D., Sartori, L. F., Zhang, H., Chen, Y., & Weigel, A. K. (2018) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations

Cited by 24

GaMPEN: A Machine Learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters

Ghosh, A., Urry, C. M., Rau, A., Perreault-Levasseur, L., Cranmer, M., Schawinski, K., Stark, D., Tian, C., Ofman, R., Ananna, T. T., et al. (2022) · arXiv

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

Cited by 16