Inference of Main Ion Particle Transport Coefficients with Experimentally Constrained Neutral Ionization during Edge Localized Mode Recovery on DIII-D
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The plasma and neutral density dynamics after an Edge Localized Mode (ELM) are investigated and utilized to infer the plasma transport coefficients for the density pedestal. The LLAMA diagnostic provides sub-millisecond profile measurements of the ionization and neutral density and shows significant poloidal asymmetries in both. Exploiting the absolute calibration of the LLAMA diagnostic allows quantitative comparison to the electron and main ion density profiles determined by charge-exchange recombination, Thomson scattering and interferometry. Separation of diffusion and convection contributions to the density pedestal transport are investigated through flux gradient methods and time-dependent forward modeling with Bayesian inference by adaptation of the Aurora transport code and IMPRAD framework to main ion particle transport. Both m' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["bayesian inference","ELM cycle","Lyman-alpha","pedestal","transport coefficients"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The plasma and neutral density dynamics after an Edge Localized Mode (ELM) are investigated and utilized to infer the plasma transport coefficients for the density pedestal. The LLAMA diagnostic provides sub-millisecond profile measurements of the ionization and neutral density and shows significant poloidal asymmetries in both. Exploiting the absolute calibration of the LLAMA diagnostic allows quantitative comparison to the electron and main ion density profiles determined by charge-exchange recombination, Thomson scattering and interferometry. Separation of diffusion and convection contributions to the density pedestal transport are investigated through flux gradient methods and time-dependent forward modeling with Bayesian inference by adaptation of the Aurora transport code and IMPRAD framework to main ion particle transport. Both m' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The plasma and neutral density dynamics after an Edge Localized Mode (ELM) are investigated and utilized to infer the plasma transport coefficients for the density pedestal. The LLAMA diagnostic provides sub-millisecond profile measurements of the ionization and neutral density and shows significant poloidal asymmetries in both. Exploiting the absolute calibration of the LLAMA diagnostic allows quantitative comparison to the electron and main ion density profiles determined by charge-exchange recombination, Thomson scattering and interferometry. Separation of diffusion and convection contributions to the density pedestal transport are investigated through flux gradient methods and time-dependent forward modeling with Bayesian inference by adaptation of the Aurora transport code and IMPRAD framework to main ion particle transport. Both m
bayesian inference; ELM cycle; Lyman-alpha; pedestal; transport coefficients