Searcharxiv⌕ Search

arXiv subjects

R. Calderón-Ardila

Publications and source records attributed to R. Calderón-Ardila.

5 recordsLinked to original sources

Muography in Colombia: simulation framework, instrumentation and data analysis

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.

astro-ph.IM↗

Study of Spatial Resolution of Muon Hodoscopes for Muography Applications in Geophysics

Muon radiography, also known as muography, is a non-destructive geophysical technique for the study of the internal structure of large objects such as volcanoes. This is possible by constructing an image based on the differential absorption of the directional flux of high-energy atmospheric muons produced during the interaction of cosmic rays with the atmosphere. So this no other source of radiation is required for this technique. Many muon telescopes are being built with crossed scintillator bars and so, the resolution of each panel is essentially given by the total surface of the bar crossings. Enhancing the resolution may require covering the same area with smaller scintillator bars, which adds costs and build complexity as more scintillators and fibers are required. More channels also require more acquisition electronics which have to be synchronized, increasing the complexity of the system, with associated operating issues and the final cost. In this work, we propose a novel analysis approach to obtain a reliable sub-pixel resolution, by measuring and comparing the average signals measured at each end of the scintillation bar. This analysis approach achieves sub-pixel resolutions, augmenting the spatial resolutions of existing designs. To study the feasibility of this technique we designed a laboratory setup, to emulate muon light pulses with a pulsed laser light located at different points on optical wavelength shifter fiber. By doing this we measured an increase in the spatial resolution when compared with traditional systems. These results enable the design of new prototypes for the muography of natural and artificial structures of strategic interest. We are currently assembling a prototype detector that will use this methodology.

physics.ins-det↗

Simulated Annealing for Volcano Muography

Muography or muon radiography is a non-invasive emerging image technology relying on high energy atmospheric muons, which complements other standard geophysical tools to understand the Earth's subsurface. This work discusses a geophysical inversion methodology for volcanic muography, based on the Simulated Annealing algorithm, using a semi-empirical model of the muon flux to reach the volcano topography and a framework for the energy loss of muons in rock. The Metropolis-Simulated-Annealing algorithm starts from an 'observed' muon flux and obtains the best associated inner density distribution function inside a synthetic model of the Cerro Machin Volcano (Tolima-Colombia). The estimated initial density model was obtained with GEOMODELER, adapted to the volcano topography. We improved this model by including rock densities from samples taken from the crater, the dome and the areas associated with fumaroles. In this paper, we determined the minimum muon energy (a function of the arrival direction) needed to cross the volcanic building, the emerging integrated flux of muons, and the density profile inside a model of Cerro Machin. The present inversion correctly reconstructed the density differences inside the Machin, within a 1 percent error concerning our initial simulation model, giving a remarkable density contrast between the volcanic duct, the encasing rock and the fumaroles area.

physics.geo-ph↗

Simulated Response of MuTe, a Hybrid Muon Telescope

In this paper we present a complete and detailed computational model of the response of the hybrid Muon Telescope (MuTe), designed to perform muography volcanic studies. This instrument combines two particle detection techniques: first, a muon hodoscope based on two panels of plastic scintillator bars; and a Water Cherenkov detector located behind the rear scintillator panel acting both as a coincidence and a discriminating detector. The simulation model includes: materials, geometries, dimensions, and the photo-sensitiveness of the detectors. The simulation results, in agreement with the measured data, were used to set up the muon detector trigger for the expected energy dependent signal.

physics.ins-det↗

Contributions of the LAGO Collaboration to the 36th ICRC

The LAGO (Latin American Giant Observatory) observatory is an experiment that spans over Latin America in a wide range of latitudes that gives different rigidity cut offs for the enter of cosmic rays in the atmosphere. The motivation of the Observatory is to study atmospheric radiation and space weather through the measurement of the secondary emission of low energy cosmic rays at ground level using Water Cherenkov Detectors (WCD). This work presents the contributions of the LAGO collaboration to the 2019 36th ICRC.

hep-ex↗