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Calculation of transport coefficient profiles in modulation experiments as an inverse problem
1UMR 6633 CNRS-Université de Provence, Marseille, France.
This study introduces a new matricial approach to solve inverse problems in transport profile calculations. This method improves the accuracy of transport codes and uncertainty assessment for periodically modulated experiments.
Area of Science:
- Physics
- Chemical Engineering
- Applied Mathematics
Background:
- Calculating transport profiles from experimental data is an inverse problem.
- Inverse problems are prone to ill-conditioning and singularity issues.
- Standard advection-diffusion models are often used for these calculations.
Purpose of the Study:
- To propose a reformulation of transport profile calculations for periodically modulated experiments.
- To address the ill-conditioning and singularity issues inherent in inverse problems.
- To improve the accuracy and uncertainty assessment of transport codes.
Main Methods:
- A matricial approach is proposed as a reformulation.
- The method is applied within the context of the standard advection-diffusion model.
- Analysis focuses on the vanishing determinant of a 2x2 matrix.
Main Results:
- The matricial approach offers a solution for ill-conditioning in transport profile calculations.
- It provides insights into the accuracy of existing transport codes.
- The method facilitates a more precise assessment of transport profiles and their uncertainties.
Conclusions:
- The proposed matricial approach enhances the reliability of transport profile calculations.
- It offers a pathway to more accurate determination of transport phenomena.
- This work contributes to a better understanding of inverse problem methodologies in scientific computing.
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