{"id":"W3188167053","doi":"10.1117/1.oe.60.7.075108","title":"Simplified non-diffracting beam propagation calculation for axial distribution using ray tracing and energy conservation","year":2021,"lang":"en","type":"article","venue":"Optical Engineering","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Axicon; Ray tracing (physics); Optics; Beam (structure); Beam tracing; Physics; Geometrical optics; Bessel function; Beam propagation method; Distributed ray tracing; Bessel beam; Energy conservation; Distribution (mathematics); Computer science; Diffraction; Energy (signal processing); Computational physics; Laser beams; Refractive index; Laser; Mathematical analysis; Mathematics","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":[0.0004306874,0.0005239994,0.000515029,0.0008161849,0.0004426485,0.001040187,0.001277626,0.0006397845,0.004797793],"category_scores_gemma":[0.001235996,0.0004543203,0.0005777158,0.0008220471,0.0003690967,0.0007780278,0.0004540468,0.0006564292,0.001007433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001247181,"about_ca_system_score_gemma":0.001703357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008826881,"about_ca_topic_score_gemma":0.00773253,"domain_scores_codex":[0.9997397,0.00002517642,0.00001417318,0.00001702064,0.0001804809,0.00002347809],"domain_scores_gemma":[0.9994617,0.0001702918,0.00004814155,0.00007852932,0.0002114704,0.00002987806],"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":[0.0001429464,0.0001751262,0.002205279,0.0002502255,0.00006659739,0.0004538145,0.0003725477,0.702867,0.06408975,0.1164638,0.002535328,0.1103776],"study_design_scores_gemma":[0.00001121611,0.000007943879,0.0001437246,0.000007317658,0.000004798479,0.00004132508,0.000009354269,0.9904046,0.005078556,0.002950542,0.001331849,0.000008700797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0124411,0.00008216087,0.982396,0.00004641147,0.00002454269,0.00003630095,0.0000701402,0.0005653518,0.004338014],"genre_scores_gemma":[0.248411,0.0003452787,0.7389416,0.000103719,0.00002444535,0.0001854746,0.0002318976,0.0007573402,0.01099924],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008826881,"threshold_uncertainty_score":0.017551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268275940553794,"score_gpt":0.2208118067422664,"score_spread":0.2081290473367284,"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."}}