M. Azadi - School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
M. Abedi - School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
Gh. H. Norouzi Baghkameh - School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

< p>Attenuation of the signal received from sources causing anomalies and reduction of data resolution are the negative features of airborne measurements. Using a stable downward continuation method is a practical way to address these shortcomings. In this study, we investigated the efficiency of various stabilizers in achieving stable downward continued data. The purpose of this study is to select the most appropriate stabilizer(s) for this operation. We examined the various stabilizing functions by introducing them into the Tikhonov regularization problem. The results of research on synthetic airborne gravity and magnetic data showed that βL۱ (the other definition of L۱ norm) and SM (the smoothest model) stabilizers have the potential to be used in the stable implementation of the downward continuation method. These stabilizers performed better than the other in the three comparisons, including visual, quantitative (RMS error), and graphical comparisons. Also, by examining the airborne magnetic data related to the Esfordi district in Yazd province (Iran), it was found that in general the βL۱ stabilizer is more suitable than the other stabilizing functions studied in this research.

Signal attenuation, Stable downward continuation, Tikhonov regularization, Stabilizing functions