  We present the Colombo-Argentinian Muography Program for studying inland
Latin-American volcanoes. It describes the implementation of a simulation
framework covering various factors with different spatial and time scales: the
geomagnetic effects at a particular geographic point, the development of
extensive air showers in the atmosphere, the propagation through the scanned
structure and the detector response. Next, we sketch the criteria adopted for
designing, building, and commissioning MuTe: a hybrid Muon Telescope based on a
composite detection technique. It combines a hodoscope for particle tracking
and a water Cherenkov detector to enhance the muon-to-background-signal
separation due to extensive air showers' soft and multiple-particle components.
MuTe also discriminates inverse-trajectory and low-momentum muons by using a
picosecond Time-of-Flight system. We also characterise the instrument's
structural (mechanical and thermal) behaviour, discussing preliminary results
from the background composition and the telescope-health monitoring variables.
Finally, we discuss the implementations of an optimisation algorithm to improve
the volcano internal density distribution estimation and machine learning
techniques for background rejection.
