{"id":"W2770071364","doi":"10.1103/physrevlett.119.263602","title":"Sorting Photons by Radial Quantum Number","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Office of Naval Research; China Scholarship Council; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Physics; Paraxial approximation; Superposition principle; Photon; Spontaneous parametric down-conversion; Field (mathematics); Optics; Angular momentum; Sorting; Azimuth; Fourier transform; Orbital angular momentum of light; Quantum; Quantum mechanics; Total angular momentum quantum number; Quantum entanglement; Computer science; Algorithm; 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":[0.0004299841,0.0002147401,0.0002323988,0.0004068509,0.000349302,0.0008107314,0.000450375,0.0003681468,0.002166767],"category_scores_gemma":[0.0009386605,0.0001801954,0.0001432056,0.0003864743,0.0007746838,0.0009101176,0.0005314955,0.0003617901,0.0005344409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005364428,"about_ca_system_score_gemma":0.000421604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003466025,"about_ca_topic_score_gemma":0.0006372912,"domain_scores_codex":[0.9997982,0.00005045615,0.000009044796,0.00002583492,0.0000780616,0.00003837285],"domain_scores_gemma":[0.9996653,0.0001112439,0.00005842829,0.00009305347,0.0000505837,0.00002155971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006055424,0.0001055756,0.001693025,0.0001047284,0.000013829,0.00008846875,0.0002517055,0.01101909,0.5802748,0.3001497,0.001766286,0.1039272],"study_design_scores_gemma":[0.000112419,0.0002993895,0.001245709,0.00003364825,0.00001668557,0.0002381092,0.0001138262,0.2176237,0.7092398,0.05477346,0.01620959,0.00009363901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8187785,0.0004198985,0.1564048,0.0004363968,0.00009306811,0.00007985035,0.000147632,0.0008151418,0.02282465],"genre_scores_gemma":[0.9235814,0.0002547362,0.07129291,0.0001275801,0.0000217349,0.00004816918,0.00007614478,0.000056145,0.004541292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002166767,"threshold_uncertainty_score":0.00724858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366987496537947,"score_gpt":0.3036609173910696,"score_spread":0.2899910424256901,"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."}}