Pass-through measurements are inevitably smoothed and altered by the convolution effect of SRM sensor response, and deconvolution is needed to restore high-resolution paleomagnetic and environmental signals.
Systematic measurements of Point Source Cube on SRM at KCC, Japan, were used to produce an accurate estimate for the sensor response, which can be used for deconvolution of u-channel pass-through measurements made on the SRM at KCC.
The rapid accumulation of continuous paleomagnetic and rock magnetic records acquired from pass-through measurements on superconducting rock magnetometers (SRM) has greatly contributed to our understanding of the paleomagnetic field and paleo-environment.
Although the current positioning system is accurate enough to reproduce 8-cm-long "excursion" event, it is recommended to build tray tracking system with better positioning accuracy to improve the pass-through measurements and performance of optimized deconvolution for higher resolution and accuracy.
In order to facilitate implementation of the UDECON software (Xuan and Oda 2015) and to further understand uncertainties associated with pass-through measurements and deconvolution, we present new tool and procedure for accurate and more efficient measurements of SRM sensor response and use laser interferometry to evaluate the positioning error of the SRM tracking system.
It is necessary to check and prepare the raw pass-through measurement data prior to deconvolution analyses.
In addition, pass-through measurement on SRM should also include measurement of intervals immediately before and after passing the sample through the center of the sensor area.
Once measured, the same sensor response data of an SRM can be edited and used to deconvolve any pass-through measurement made on that SRM.
It should be noted that the positioning error estimated from the standard deviation of repeated pass-through measurement is not absolute error but deviation from the average measurement at each position.
In this paper, we present standalone graphical software UDECON designed to directly read pass-through measurement data file and allow fast and reliable deconvolution optimization using the algorithm developed by Oda and Xuan (2014).
Based on the algorithm, stand-alone graphical software UDECON was developed to directly read pass-through measurement data and perform fast and reliable deconvolution optimization (Xuan and Oda 2015).
