Testing cosmogenic nuclide production rate scaling models…宇宙成因核素产率的比例模型试验….pptVIP

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2018-06-19 发布于福建
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Testing cosmogenic nuclide production rate scaling models…宇宙成因核素产率的比例模型试验….ppt

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Testing cosmogenic nuclide production rate scaling models…宇宙成因核素产率的比例模型试验…

Cosmic-Ray FluxesPresent and Past Nathaniel Lifton, Marek Zreda, Darin Desilets, John Clem Background Objectives Present-Day Fluxes Instrumental Measurements Modeling Time-Integrated Fluxes In Situ 14C in Saturated Surfaces Background Production Rates Well-Established at Few Sites Scaling Models Predict Production Rates Elsewhere Current Scaling Models Based on Modern Cosmic-Ray Measurements Lal, 1991; Stone, 2000; Dunai, 2000, 2001; Desilets Zreda, 2003; Lifton et al., in prep Neutron Monitors (NM) Other Instruments/Techniques Problems Need to Tie CR Measurements to CN Production in Rocks Limited Empirical Testing of Models Over Millenial Time Scales Scarcity of Samples of Well-Established Age Objectives Relate NM Measurements to CN Production Rates Global NM Network Data, Published Surveys Global Neutron Monitor Network Global Neutron Monitor Network Objectives Relate NM Measurements to CN Production Rates Global NM Network Data, Published Surveys Present-Day Fluxes Measurements (Zreda, Desilets) Modeling (Zreda, Desilets, Clem) Time-Integrated Scaling From In Situ 14C Production Rates Short Half-Life 5,730 yr Secular Equilibrium by About 25 kyr Insensitive to Moderate Erosion Rates Many Geomorphic Settings Suitable for Production Rate Determinations In Situ Cosmogenic 14C(In Situ 14C) Extract From Quartz Opportunity for Thorough Empirical Testing of Scaling Models Integrated Over Millenial Time Scales In Situ 14C Production Rate Scaling Produced by Nucleons and Muons 83% spallation, 15% slow muon, 2% fast muon(Heisinger et al, 2002) Preliminary Antarctic Data Suggest Low Muogenic Production Antarctic Altitude Transect In Situ 14C Production Rate Scaling Produced by Nucleons and Muons 83% spallation, 15% slow muon, 2% fast muon(Heisinger et al, 2002) Preliminary Antarctic Data Suggest Low Muogenic Production Identifying Scaling Model Biases Uncertainties Observed Scatter Uncertainties Stepwise Dissolution Uncertainties Timeline and Deliverables Geological