{"id":"W4387076469","doi":"10.48550/arxiv.2309.14283","title":"Using the Gerchberg-Saxton algorithm to reconstruct non-modulated pyramid wavefront sensor measurements","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Wavefront; Adaptive optics; Wavefront sensor; Pyramid (geometry); Telescope; Computer science; Optics; Deformable mirror; Sensitivity (control systems); Physics; Active optics; Algorithm; Electronic engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001011319,0.0006728297,0.0004163514,0.0005995395,0.0003535392,0.000886812,0.0007105674,0.0009920968,0.001955913],"category_scores_gemma":[0.002492274,0.0003478729,0.0004525464,0.0005510947,0.0006789571,0.001293856,0.000811083,0.001104632,0.0005764614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005885561,"about_ca_system_score_gemma":0.001107708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00259297,"about_ca_topic_score_gemma":0.003564099,"domain_scores_codex":[0.9996562,0.00006338125,0.00002054027,0.00003839321,0.0001946814,0.00002682191],"domain_scores_gemma":[0.9993883,0.0002619175,0.00008321518,0.0001403921,0.00009615294,0.00003005178],"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":[0.0003250312,0.0001279778,0.004372152,0.0002174157,0.0001102231,0.0003925457,0.0004439219,0.6308636,0.06863448,0.09720264,0.003833262,0.1934768],"study_design_scores_gemma":[0.000009111926,0.00002135555,0.0002227372,0.000005219337,0.00000295184,0.00003820543,0.00002213931,0.9844863,0.01011635,0.00379809,0.001266787,0.00001073478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04980762,0.00009288974,0.9463029,0.0001682311,0.00002777387,0.00004526139,0.00008824263,0.0008975702,0.002569535],"genre_scores_gemma":[0.2672123,0.0001325878,0.7287572,0.00009025334,0.00001269703,0.00006883985,0.0003636325,0.0002778977,0.003084663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00259297,"threshold_uncertainty_score":0.006543219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1915973116146126,"score_gpt":0.2392949172042936,"score_spread":0.04769760558968106,"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."}}