A. M. Smith, S. Lynn, M. Sullivan, C. J. Lintott, P. E. Nugent, J. Botyanszki, M. Kasliwal, R. Quimby, S. P. Bamford, L. F. Fortson, K. Schawinski, I. Hook, S. … 展开作者
A. M. Smith, S. Lynn, M. Sullivan, C. J. Lintott, P. E. Nugent, J. Botyanszki, M. Kasliwal, R. Quimby, S. P. Bamford, L. F. Fortson, K. Schawinski, I. Hook, S. Blake, P. Podsiadlowski, J. Joensson, A. Gal-Yam, I. Arcavi, D. A. Howell, J. S. Bloom, J. Jacobsen, S. R. Kulkarni, N. M. Law, E. O. Ofek, R. Walters
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. We describe the Galaxy Zoo Supernovae operations and scoring model, and demonstrate the effectiveness of this novel method using imaging data and transients from the Palomar Transient Factory (PTF). We examine the results collected over the period April-July 2010, during which nearly 14,000 supernova candidates from PTF were classified by more than 2,500 individuals within a few hours of data collection. We compare the transients selected by the citizen scientists to those identified by experienced PTF scanners, and find the agreement to be remarkable - Galaxy Zoo Supernovae performs comparably to the PTF scanners, and identified as transients 93% of the ~130 spectroscopically confirmed SNe that PTF located during the trial period (with no false positive identifications). Further analysis shows that only a small fraction of the lowest signal-to-noise SN detections (r > 19.5) are given low scores: Galaxy Zoo Supernovae correctly identifies all SNe with > 8σ detections in the PTF imaging data. The Galaxy Zoo Supernovae project has direct applicability to future transient searches such as the Large Synoptic Survey Telescope, by both rapidly identifying candidate transient events, and via the training and improvement of existing machine classifier algorithms.
Galaxy Zoo Evo: 1 million human-annotated images of galaxies
University of Toronto（多伦多大学）；University of Nottingham（诺丁汉大学）；Open University（开放大学）；University of Edinburgh（爱丁堡大学）；University of Minnesota（明尼苏达大学）；European Space Agency（欧洲空间局）；University of Portsmouth（朴茨茅斯大学）；University of Oxford（牛津大学）；Haverford College（哈弗福德学院）；University of Manchester（曼彻斯特大学）；Università degli Studi di Milano（米兰大学）；University of Lancaster（兰开斯特大学）；Amazon（亚马逊）
Galaxy Zoo: Cosmic Dawn -- morphological classifications for over 41,000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey
The Open University（开放大学）；University of Toronto（多伦多大学）；University of Minnesota（明尼苏达大学）；European Space Agency (ESA)（欧洲航天局）；Haverford College（哈弗福德学院）；Lancaster University（兰卡斯特大学）；University of Oxford（牛津大学）
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images
Western Sydney University（西悉尼大学）；CSIRO Astronomy and Space Science（CSIRO天文与空间科学部）；The Australian National University（澳大利亚国立大学）；Data61, CSIRO（CSIRO Data61）；Universidad de Guanajuato（瓜纳华托大学）；University of Oxford（牛津大学）；University of Minnesota（明尼苏达大学）
Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models
Department of Computer Science（计算机科学系）；The University of Manchester（曼彻斯特大学）；Department of Physics and Astronomy（物理与天文学系）；The Alan Turing Institute（艾伦·图灵研究所）
Radio Galaxy Zoo: Morphological classification by Fanaroff-Riley designation using self-supervised pre-training
University of Manchester（曼彻斯特大学）；Alan Turing Institute（艾伦·图灵研究所）；University of Oxford（牛津大学）；Macquarie University（麦考瑞大学）；University of Tasmania（塔斯马尼亚大学）；CSIRO Space & Astronomy（澳大利亚联邦科学与工业研究组织空间与天文部）；ICRAR, University of Western Australia（西澳大利亚大学星际计算与实时系统研究中心）
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
Shanghai Astronomical Observatory, Chinese Academy of Sciences（中国科学院上海天文台）；School of Astronomy and Space Science, University of Chinese Academy of Sciences（中国科学院大学天文与空间科学学院）；Shanghai Key Lab for Astrophysics, Shanghai Normal University（上海师范大学上海市天体物理重点实验室）；Centre for Astrophysics Research, University of Hertfordshire（赫特福德大学天体物理研究中心）
