The Simulations Chain of the MURAVES Experiment

Moussawi, M.; Basnet, S.; Bonechi, L.; Cimmino, L.; DÁlessandro, R.; DÉrrico, M.; Giammanco, A.; Karnam, R.; Macedonio, G.; Rendon, C.; Samalan, A.; Saracino, G.; Tytgat, M.

doi:10.31526/jais.2022.303

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…This article is structured as follows: Section 2 describes the MURAVES set up that is currently taking data on Mt. Vesuvius; Section 4 summarizes the earliest public results based on preliminary data; Section 3 presents the current status of the work toward and end-to-end Monte Carlo simulation chain of the experiment, focusing on what is new since our previous reports on this specific subject [24,25]. We conclude in Section 5 with the lessons learnt and some directions for improvement that have been identified.…”

Section: Introductionmentioning

confidence: 99%

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Simulation Tools, First Results, and Experimental Status of the MURAVES Experiment

2024

JAIS

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The MUon RAdiography of VESuvius (MURAVES) project aims at the study of Mt. Vesuvius, an active and hazardous volcano near Naples, Italy, with the use of muons freely and abundantly produced by cosmic rays. In particular, the MURAVES experiment intends to perform muographic imaging of the internal structure of the summit of Mt. Vesuvius. The challenging measurement of the rock density distribution in its summit by muography, in conjunction with data from other geophysical techniques, can help model possible eruption dynamics. The MURAVES apparatus consists of an array of three independent and identical muon trackers, with a total sensitive area of 3 square meters. In each tracker, a sequence of 4 XY tracking planes made of plastic scintillators is complemented by a 60 cm thick lead wall inserted between the two downstream planes to improve rejection of background from low-energy muons. The apparatus is currently acquiring data. This paper presents preliminary results from the analysis of the first data samples acquired with trackers pointing toward Mt. Vesuvius, including the first relative measurement of the density projection of two flanks of the volcano at three different altitudes; we also present the workflow of the simulation chain of the MURAVES experiment and its ongoing developments.

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Section: Introductionmentioning

confidence: 99%

“…Note, however, that the trigger logic is based on the presence of hits in the first three layers, which allows the possibility in the offline analysis stage to study the effect of the lead wall, e.g., on the displacement of hits in the fourth layer[24].…”

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confidence: 99%

Simulation Tools, First Results, and Experimental Status of the MURAVES Experiment

2024

JAIS

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“…Different software tools form composite simulation frameworks in muography: from cosmic ray showers to detector response. In the Monte Carlo approach, authors use specialised codes such as CORSIKA (COsmic Ray SImulations for KAscade), CRY, ARTI, and EcoMug (Moussawi et al(2022); Sarmiento-Cano et al(2022); Samalan et al(2022); Taboada et al(2022)). COR-SIKA simulates the evolution of extensive air showers in the atmosphere step-by-step, giving high accuracy in particle spectrum composition.…”

Section: Introductionmentioning

confidence: 99%

“…GEANT4 allows us to create sensitive detector matrices with specific materials and photo-detector quantum efficiencies. We also can evaluate the installation of passive layers (lead or iron) for background filtering (Vásquez-Ramírez et al(2020); Moussawi et al(2022); Samalan et al(2022)). Semi-empirical models deal with detector response simulations based on data collected from an operating detector.…”

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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MUYSC: an end-to-end muography simulation toolbox

Peña-Rodríguez,

Jaimes-Teherán,

Dlaikan-Castillo

et al. 2024

Geophysical Journal International

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Summary Muography is an imaging technique that relies on the attenuation of the muon flux traversing geological or anthropogenic structures. Several simulation frameworks help to perform muography studies by combining specialised codes: for muon generation through muon transport to muon detector performance. This methodology is precise but requires significant computational resources and time. We present an end-to-end python-based MUographY Simulation Code, which implements a muography simulation framework capable of rapidly estimating muograms of any geological structure worldwide. This framework considers the generated muon flux as the observation point; the energy loss of muons passing through the geological target; the integrated muon flux detected by the telescope and estimates the 3-dimensional density distribution of the target using Algebraic Reconstruction Techniques. The simulations ignore the relatively small muon flux variance caused by geomagnetic effects, solar modulation, and atmospheric conditions. We validate the code performance by comparing our simulation results with data from other frameworks.

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The Simulations Chain of the MURAVES Experiment

Cited by 3 publications

References 14 publications

Simulation Tools, First Results, and Experimental Status of the MURAVES Experiment

Simulation Tools, First Results, and Experimental Status of the MURAVES Experiment

MUYSC: An end-to-end muography simulation toolbox

MUYSC: an end-to-end muography simulation toolbox

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