0000000001230226
AUTHOR
M Calò
showing 8 related works from this author
Study of Southern Tyrrhenian and Sicilian regions by a sequential procedure to integrate WAM seismic tomographies and Bouguer anomaly data
2009
A procedure to obtain 3D velocity-density models and earthquake relocation by integrated inversion of P and S wave traveltimes and Bouguer anomaly distribution was applied to a large dataset concerning the Southern Tyrrhenian and Sicilian areas. The seismic dataset was subdivided into two subsets for separate inversions, whose results were later on joined by the WAM (Weighted Average Model) technique. This is a post-processing technique proposed by Calò et al. (2009) by which preliminary tomographic models are unified in a common 3D grid. The first dataset concerns 28873 P and 9990 S arrival times of 1800 earthquakes located in the area 14°30′ E - 17°E, 37°N - 41°N while the second dataset …
Tomografia WAM integrata dell’area sud-tirrenica e siciliana.
2008
A MESOZOIC PALEOMARGIN in WESTERN SICILY, its TERTIARY EVOLUTION and its PRESENT-DAY SEISMOGENETIC POTENTIAL
2013
WAM tomography in the southern Tyrrhenian region : petrological inferences and hypothesis on the fluid circulation in the subducting Ionian slab and …
2008
TOMOGRAFIA SISMICA DELL’AREA SICILIANA: ANALISI DI AFFIDABILITÀ E COSTRUZIONE DI MODELLI WAM AD ALTA RISOLUZIONE
2011
Sequential techique for joint inversion of gravimetric and seismic data applied to the Sicilian area
2009
Semi-parametric estimation of conditional intensity functions in inhomogeneous space-time point processes
2009
Dealing with data coming from a space-time inhomogeneous process, there is often the need of obtaining estimates of the conditional intensity function, without a complete defi nition of a parametric model and so nonparametric estimation is required: isotropic or anisotropic kernel estimates can be used. The properties of the intensities estimated are not always good, expecially in seismological field. We could try to choose the bandwidth in order to have good predictive properties of the estimated intensity function. Since a direct ML approach can not be followed, we use an estimation procedure based on the further increments of likelihood obtained adding a new observation. Similarly to cro…