Deconvolution of magnetic susceptibility data from pass-through measurement of U-channel samples

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  • Uチャネル試料のパススルー測定によって得られた初磁化率データのデコンボリューション
  • Uチャネル シリョウ ノ パススルー ソクテイ ニヨッテ エラレタ ショジカリツ データ ノ デコンボリューション
  • Uチャネル シリョウ ノ パススルー ソクテイ ニ ヨッテ エラレタ ハツ ジカリツ データ ノ デコンボリューション
  • ユーチャネル シリョウ ノ パススルー ソクテイ ニヨッテ エラレタ ショジカリツ データ ノ デコンボリューション

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Pass-through measurement of remanent magnetization and magnetic susceptibility of U-channel samples is now widely used in paleomagnetic and environmental magnetic studies of marine and lacustrine sediments. Since the output from pass-through measurement is inevitably smoothed and distorted by the response function of the sensors, deconvolution of the measurement result is necessary to obtain accurate signals of the sediment. Methods of deconvolution have been improved by modeling the remanent magnetization as a smoothly changing function by minimizing Akaike's Bayesian information criterion. In this study, we developed deconvolution programs for pass-through magnetic susceptibility data based on the same algorithm, first by using a single smoothness parameter for the entire sample and then introducing an additional parameter for the interval with a strong susceptibility peak. Applying these programs to U-channel samples from Lake Tazawa, Akita Prefecture, it was confirmed that results of the deconvolution well correspond with susceptibility of the discrete samples. However, the interval with a sharp susceptibility peak produced noisy erroneous variation, suggesting that further improvement is necessary for deconvolution of the samples including tephra or event layers.

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