2018
DOI: 10.1007/s12040-018-0918-3
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Lithologic boundaries from gravity and magnetic anomalies over Proterozoic Dalma volcanics

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Cited by 8 publications
(6 citation statements)
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“…In order to have a better interpretation of the data, anomalies need to be separated based on the depth of causative bodies. Radially averaged power spectrum (RAPS) and upward continuation are commonly employed to segregate signals from overlapping sources (Keating et al ., 2011; Al‐Badani and Al‐Wathaf, 2018; Yadav et al ., 2018).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to have a better interpretation of the data, anomalies need to be separated based on the depth of causative bodies. Radially averaged power spectrum (RAPS) and upward continuation are commonly employed to segregate signals from overlapping sources (Keating et al ., 2011; Al‐Badani and Al‐Wathaf, 2018; Yadav et al ., 2018).…”
Section: Methodsmentioning
confidence: 99%
“…In a power spectrum‐wave number plot, the point where there is a change in slope is marked and projected to the depth‐wave number plot to get an estimate of the depths to top of the sources (Yadav et al ., 2018). The depth to top of shallow sources can be estimated from the large wave number region while the depth to top of deep sources can be inferred from the small wave number region (Yadav et al ., 2018).…”
Section: Methodsmentioning
confidence: 99%
“…(2) where, h is the depth of the source and w is the wavenumber [Yadav et al, 2018]. The energy spectrum is a 2D function of the energy relative to wavenumber and direction.…”
Section: Depth Estimation Of the Causative Sourcesmentioning
confidence: 99%
“…Analytical signals from the gravitational field are obtained using a fast Fourier transform (FFT) approach in the frequency domain (Blakely, 1996). Analytical signals from magnetic fields at a location (x,y) can be derived from three orthogonal total magnetic field gradients using the following equation (Roest et al, 1992;MacLeod et al, 1993;Yadav et al, 2018):…”
Section: Horizontal Gradient and Analytic Signalmentioning
confidence: 99%