{"id":"W4398243259","doi":"10.1016/j.nima.2024.169471","title":"Simulations of a cryogenic, buffer-gas filled Paul trap for low-emittance ion bunches","year":2024,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Atomic and Molecular Physics","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; TRIUMF; McGill University","funders":"H2020 European Research Council; Horizon 2020 Framework Programme; European Research Council; Max Planck Institute for Nuclear Physics; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; European Commission; CERN; TRIUMF","keywords":"Thermal emittance; Bunches; Buffer gas; Trap (plumbing); Ion trap; Ion; Buffer (optical fiber); Materials science; Atomic physics; Nuclear engineering; Physics; Optics; Beam (structure); Electrical engineering; Engineering; Meteorology","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":[0.0004408346,0.0004544985,0.0006746726,0.0004955343,0.001262825,0.001116301,0.001243619,0.001498452,0.007890998],"category_scores_gemma":[0.001738091,0.0003920947,0.0006406906,0.0005338419,0.0009042473,0.0007560214,0.0007238176,0.0007086316,0.0004936772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340597,"about_ca_system_score_gemma":0.002392419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686004,"about_ca_topic_score_gemma":0.01869124,"domain_scores_codex":[0.9998273,0.00003962364,0.000005373149,0.00002004751,0.0000360979,0.00007154368],"domain_scores_gemma":[0.9994541,0.0002406761,0.00004788705,0.00003041112,0.0001197059,0.0001072462],"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":[0.0001585652,0.00006461871,0.002592929,0.00005690955,0.000027658,0.0001857213,0.0001058248,0.9838136,0.001372475,0.008763492,0.001892719,0.0009653844],"study_design_scores_gemma":[0.00006308978,0.00003939039,0.0005817371,0.00001324142,0.000008610115,0.00001745605,0.00007399071,0.9962173,0.0003250107,0.001552139,0.00109749,0.00001059512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9110761,0.0005798786,0.02942352,0.00143601,0.0001485573,0.0001435704,0.002764254,0.0004233649,0.05400472],"genre_scores_gemma":[0.9837056,0.0002375323,0.009416355,0.0002153207,0.00002048941,0.0002199819,0.001339841,0.0001320603,0.004712665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686004,"threshold_uncertainty_score":0.05340737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231433248658507,"score_gpt":0.3843823064846978,"score_spread":0.3420679739981128,"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."}}