Simulated Annealing for volcano muography

Vesga-Ramirez, Alejandra; Sanabria-Gómez, J. D.; Sierra-Porta, D.; Arana-Salinas, Lilia; Asorey, H.; Kudryavtsev, V. A.; Ardila, Rolando Calderón; Núñez, Luis A.

doi:10.1016/j.jsames.2021.103248

Cited by 15 publications

(5 citation statements)

References 50 publications

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“…The inversion algorithm reconstructed the density differences inside the emulated Cerro Machín structure from the measured muon flux within a 1% error. The result showed a remarkable density contrast between the volcanic duct, the encasing rock, and the fumarole area [18].…”

Section: Density Inversionmentioning

confidence: 98%

“…Muography simulation tools & frameworks estimate the atmospheric muon flux [11,12], muon propagation through the geological target [6,13,14], detector response [15,16,17] and density optimisation [18] by using Monte Carlo codes. Development of muography instruments have been addressed from different perspectives.…”

Section: Muography In the Latin American Regionmentioning

confidence: 99%

“…Muography brings data analysis challenges from raw data treatment to solving the density estimation inverse problem. Simulated annealing and Bayesian dual inversion algorithms tackle the inverse problem to infer the target density distribution [18,24].…”

Section: Muography In the Latin American Regionmentioning

confidence: 99%

See 2 more Smart Citations

Muography in Colombia: simulation framework, instrumentation and data analysis

Peña-Rodríguez¹,

Vesga-Ramírez²,

Vásquez-Ramírez³

et al. 2022

Preprint

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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 lowmomentum 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.

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Section: Density Inversionmentioning

confidence: 98%

Section: Muography In the Latin American Regionmentioning

confidence: 99%

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Muography in Colombia: simulation framework, instrumentation and data analysis

Peña-Rodríguez¹,

Vesga-Ramírez²,

Vásquez-Ramírez³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…There exist two main techniques: Inversion methods and filteredback projections. Inversion methods combine muography with gravimetry data (Tanaka et al(2010); Nishiyama et al(2014); Guardincerri et al(2017); Vesga-Ramírez et al(2021)). Barnound and collaborators inverted gravimetric and muographic data of the Puy de Dôme volcano.…”

Section: Introductionmentioning

confidence: 99%

MUYSC: An end-to-end muography simulation toolbox

Peña-Rodríguez¹,

Jaimes-Teherán²,

Dlaikan-Castillo³

et al. 2023

Preprint

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Muography is an imaging technique based on attenuation of the directional muon flux traversing geological or anthropic structures. Several simulation frameworks help to perform muography studies by combining specialised codes from the muon generation (CORSIKA and CRY) and the muon transport (GEANT4, PUMAS, and MUSIC) to the detector performance (GEANT4). This methodology is very precise but consumes significant computational resources and time.In this work, we present the end-to-end python-based MUographY Simulation Code. MUYSC implements a muography simulation framework capable of rapidly estimating rough muograms of any geological structure worldwide. MUYSC generates the muon flux at the observation place, transports the muons along the geological target, and determines the integrated muon flux detected by the telescope. Additionally, MUYSC computes the muon detector parameters (acceptance, solid angle, and angular resolution) and reconstructs the 3-dimensional density distribution of the target. We evaluated its performance by comparing it with previous results of several simulation frameworks.

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“…For this last one, several applications have been proposed, such as prospecting [19,20], imaging of underground structures [17], and volcano muography [12,21]. In Latin America, detectors have been developed for similar purposes in Mexico [4], Colombia [5,6,8], and Argentina [9] and are also currently under development in Peru.…”

Section: Introductionmentioning

confidence: 99%

Development of Mudulus: A Muography Detector Based on Double-Synchronized Electronics for Geophysical Applications

Calderón-Ardila¹,

Asorey²,

Almela³

et al. 2022

JAIS

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In this paper, we present a prototype modular muon detector ("Mudulus"), based on our previous experience with the design of the MuTe detector in Colombia and the AMIGA buried muon detectors in the Pierre Auger Collaboration. Our group is developing detectors for muography and multipurpose applications. Our prototype detectors use different modules of plastic scintillators with embedded optical fibers and 64 channel multianode photomultiplier tubes (PMTs) with a common dynode or arrays of Silicon Photomultipliers (SiPM). In the case of Mudulus, each module is made of 12 scintillator strips of (4 × 1 × 100) cm 3 coupled with a lengthwise running Wavelength Shifter (WLS) fiber, connected at each end to a PMT channel. This design allows us to build panels with up to four of these modules. This modular configuration allows changing the panel geometries looking for an adaptive shape or size to the studied object and resulting in a detailed muography image. The improvement in performance obtained with Mudulus is achieved by the combination of its modular design and the double-synchronized detection at the end of each scintillator bar. We take advantage of measuring at both ends of each strip to determine the muon flux using a model to account for signal attenuation in each anode, and then determine the position of the incoming muons with better discrimination and subpixel spatial resolution.

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Simulated Annealing for volcano muography

Cited by 15 publications

References 50 publications

Muography in Colombia: simulation framework, instrumentation and data analysis

Muography in Colombia: simulation framework, instrumentation and data analysis

MUYSC: An end-to-end muography simulation toolbox

Development of Mudulus: A Muography Detector Based on Double-Synchronized Electronics for Geophysical Applications

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