{"id":"W3208331988","doi":"10.1093/mnras/stac130","title":"Realistic galaxy image simulation via score-based generative models","year":2022,"lang":"en","type":"preprint","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Argonne National Laboratory; Science and Technology Facilities Council; Jet Propulsion Laboratory; University of Illinois at Urbana-Champaign; SLAC National Accelerator Laboratory; Queen's University; Chinese Academy of Sciences; U.S. Department of Energy; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; University of Portsmouth; University of Hertfordshire; Office of Science; University of Edinburgh; Consejo Superior de Investigaciones Científicas; Center for Cosmology and Astroparticle Physics, Ohio State University; National Research Foundation of Korea; University of Sussex; National Aeronautics and Space Administration; University College London; Eidgenössische Technische Hochschule Zürich; National Centre for Supercomputing Applications; Texas A and M University; University of Chicago; Ohio State University; California Institute of Technology; Higher Education Funding Council for England; Lawrence Berkeley National Laboratory; Division of Astronomical Sciences; Financiadora de Estudos e Projetos; University of Pennsylvania; University of Nottingham; Stanford University; Natural Sciences and Engineering Research Council of Canada; Yonsei University; University of Michigan; Royal Society; National Science Foundation","keywords":"Galaxy; Computer science; Sky; Inference; Artificial intelligence; Similarity (geometry); Ground truth; Physics; Astrophysics; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058781,0.0005466221,0.0005338294,0.0004723555,0.0002859524,0.001056585,0.001068386,0.001309132,0.00279189],"category_scores_gemma":[0.00472086,0.0004676982,0.0008007422,0.0002531542,0.001338592,0.0009478687,0.0009808793,0.001163008,0.000331259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121197,"about_ca_system_score_gemma":0.0004279854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406559,"about_ca_topic_score_gemma":0.003863081,"domain_scores_codex":[0.9997765,0.00007606115,0.000007787376,0.0000427122,0.0000654345,0.0000314918],"domain_scores_gemma":[0.9983146,0.001137267,0.0001672784,0.0001411883,0.0001324478,0.0001071723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002047647,0.000008642083,0.0005042734,0.00001259378,0.000008123938,0.00004014929,0.00003329395,0.9852122,0.0008941704,0.01091832,0.0002374439,0.002110198],"study_design_scores_gemma":[0.000003060633,0.000003795917,0.00004017726,0.000001786449,0.000001176726,0.00000860478,0.000002040856,0.9975465,0.0001614093,0.002139041,0.00009012449,0.000002199632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1610326,0.0002556219,0.8294929,0.0009477903,0.00007911271,0.00008369558,0.0002503889,0.0006634851,0.007194356],"genre_scores_gemma":[0.9595206,0.0001083126,0.03617034,0.0001813493,0.000032289,0.0000641658,0.0001866478,0.0001187053,0.003617661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005406559,"threshold_uncertainty_score":0.01075017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104162935031242,"score_gpt":0.2331575025165181,"score_spread":0.2121158731662057,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}