Muographers 2026

Session

Data Processing and Simulation Methods

2 Jun 2026, 10:30

98. GEANT4 Simulations of Muon Scattering Tomography

Konstantin Borozdin (Sandia Research Center, Sandia Park, New Mexico, U.S.A.; Decision Sciences, Poway, California, U.S.A.)

02/06/2026, 10:30

Muon Imaging for Safety, Security, and Health

Talk

Muon tomography exploits the natural flux of cosmic-ray muons to probe the internal structure of large or dense objects using scattering and absorption signatures. GEANT4 provides a powerful Monte Carlo framework for modeling the passage of muons and secondary particles through matter, making it an essential tool for designing and optimizing muon imaging systems. Here I present a general...

70. Monte Carlo study of muon scattering tomography using RPC-based detectors

Maria-Fernanda Heredia-Moyano (International Telematic University UNINETTUNO, Rome, Italy, Corso Vittorio Emanuele II, 39, 00186 Rome, Italy; Italian National Institute for Nuclear Physics (INFN), Sezione di Roma Tor Vergata, Rome, Italy)

02/06/2026, 10:50

Data Processing and Simulation Methods

Talk

Cosmic-ray muons provide a powerful probe for non-invasive imaging of dense structures. Among the available techniques, muon scattering tomography (MST) exploits the multiple Coulomb scattering of muons in matter to infer the internal composition of an object. The magnitude of the scattering depends on the atomic number of the traversed material, making MST particularly suitable for material...

5. Task-Driven Differentiable Optimization of Muon Scattering Tomography for Anomaly Detection

Zahraa Zaher (UCLouvain)

02/06/2026, 11:05

Data Processing and Simulation Methods

Talk

Muon scattering tomography (MST) is a non-invasive imaging tech-
nique used to reconstruct the material constituents on enclosed volumes
to identify high-Z materials. This technique leverages scattering informa-
tion obtained from conventional PoCA reconstruction, which provides a
density point cloud of the approximated scattering locations within the
scanned volume. However, PoCA-based...

13. Reducing Imaging Times in Muon Tomography Using Deep Learning

William O'Donnell (University of Glasgow)

02/06/2026, 11:20

Data Processing and Simulation Methods

Talk

Across industry, muography is becoming an increasingly prevalent next-generation non-destructive evaluation technique. A key limitation of muon tomography, however, remains the low natural muon flux, which leads to long acquisition times, noisy reconstructions and artefacts that complicate interpretation.
This work explores the application of deep learning to post-reconstruction muon...

18. An algorithm to localize position indicators using atmospheric muons

Mr Johann Wolf (TU Dresden)

02/06/2026, 11:35

Data Processing and Simulation Methods

Talk

Muon scattering tomography enables non-destructive imaging of dense or shielded structures for which absorption-based techniques fail. Since the muon scattering angle correlates with the atomic number of the traversed material, high-Z inclusions can be identified within lower-density surroundings. A common objective is therefore to image regions of enhanced scattering by statistical analysis...

7. Industrialised strategies for centimetre precision muon scattering muography

Dr Fabio Dogliotti (Muodim)

02/06/2026, 13:15

Data Processing and Simulation Methods

Talk

Traditionally, high precision muon scattering tomography has required expensive detectors that are hard to deploy and often highly sensitive to environmental conditions. Furthermore, muon tomographic inversion software optimised to handle large amounts of data and high spatial resolution models, on the order of tens-to-hundreds of seconds, are not readily available. Muodim holds the keys to...

71. B2X - Seamless integration of complex 3D scenes with Monte Carlo frameworks

Felix Sattler (German Aerospace Center (DLR))

02/06/2026, 13:30

Data Processing and Simulation Methods

Talk

Particle transport and radiation physics simulations rely on accurate representations of detector systems, experimental environments and material compositions. In many established Monte Carlo frameworks, the creation of detailed geometries remains a labor-intensive process that requires manual coding of hierarchical volumes, surfaces, and materials. As simulation studies increasingly involve...

72. Efficient Muon Tomography Image Reconstruction Using Gradient Descent Optimization

Jean-Marco Alameddine (German Aerospace Center (DLR))

02/06/2026, 13:45

Data Processing and Simulation Methods

Talk

Image reconstruction in muon scattering tomography is a complex task, and finding suitable reconstruction algorithms for a given application often requires compromises: Simple approaches, such as the Point of Closest Approach (PoCA) or Angle Statistics Reconstruction (ASR) algorithm, require little computational effort but are inherently limited in achievable image quality due to their...

38. Experiences with tomographic inversion of subsurface muographic measurements

Laszlo Balázs (Wigner RCP)

02/06/2026, 14:00

Data Processing and Simulation Methods

Talk

It is well known that the muontomographic inverse problem is considerably underdetermined for several reasons, and therefore various types of regularization methods are required for its solution, which significantly influence the estimation bias and the covariance matrix of the estimated parameters. Following an overview of applicable regularization methods, the presentation examines several...

10. ARTI-muon: fast muography simulations using generative models

Rafael Armando Martinez Rivero (Universidad Industrial de Santander)

02/06/2026, 14:15

Data Processing and Simulation Methods

Talk

The feasibility of muography studies depends on accurate estimates of the atmospheric muon flux at the site of interest, as well as on its interaction with the target structure and the detection system. However, many existing frameworks rely on simplified parameterizations restricted to specific angular and energy ranges, which do not include geographic and geomagnetic effects. This limitation...

43. Geometric Errors and Performance Limits in Muography Detectors

Mr Mauricio Echiburu Fuenzalida (Universidad de La Serena)

02/06/2026, 14:30

Data Processing and Simulation Methods

Talk

This work investigates the performance limits of muography detectors of the MATE type by analyzing the propagation of geometric and instrumental errors and their impact on density reconstruction. A theoretical uncertainty-propagation framework is combined with Monte Carlo simulations that incorporate the angular muon flux, attenuation in homogeneous material, and counting statistics. Three...

99. CMOS Cosmic Ray Detector (CCRD): A desktop muon detection software for citizen science

Katsiaryna Katrankova (Muotech, Rzeszow, Poland)

02/06/2026, 14:45

Data Processing and Simulation Methods

Talk

The CMOS Cosmic Ray Detector (CCRD) is a lightweight, cross-platform desktop application enabling real-time detection of cosmic-ray–induced events using consumer-grade CMOS camera sensors, without dedicated hardware. The system employs dynamic noise calibration and eigenvalue-based analysis of pixel-coordinate covariance matrices to identify linear particle tracks and suppress background...

54. Geant4-based simulations for muon imaging of volcanoes

Daria Gracheva (University of Oulu, Oulu Mining School, Oulu, Finland)

02/06/2026, 15:20

Data Processing and Simulation Methods

Talk

This study presents a numerical modeling framework for planning future muography experiments aimed at imaging the internal structures of large-scale geological objects through simulations of atmospheric muon flux propagation. Muography utilizes attenuation of high-energy cosmic-ray muons in dense geological media, enabling non-invasive imaging of volcanic conduits and crater...

20. From raw data to muon tracks: the MURAVES Data Processing Framework

Alice Biolchini (CP3)

02/06/2026, 15:35

Data Processing and Simulation Methods

Talk

A transmission muon radiography of the Mt. Vesuvius volcano (Naples, Italy) is carried out by the MURAVES (Muon Radiography of Vesuvius) experiment. The measurement relies on the reconstruction of trajectories of cosmic-ray muons passing through the volcano to investigate the internal structure of its summit cone.

This contribution focuses on the data processing framework, describing both...

75. Precision parameter analysis based on a series of measurements conducted at the Jánossy Underground Laboratory

Boglárka Abigél Stefán (HUN-REN Wigner Research Centre for Physics, Budapest, Hungary; ELTE Eötvös Loránd University, Budapest, Hungary)

02/06/2026, 15:50

Data Processing and Simulation Methods

Talk

During the last decades, muography proved to be an excellent method for the non-destructive examination of the internal structure of man-made objects. Muography indirectly provides information about the internal density conditions of the target object. Possible anomalies can be located in two ways: either by triangulation using 2D muograms, or through inversion of the 2D muograms. Inversion...

56. Physics-informed μTRec algorithm for accelerated muon scattering tomography

Reshma Ughade (Purdue University)

02/06/2026, 16:05

Data Processing and Simulation Methods

Talk

Muon tomography is commonly divided into absorption and scattering modalities. Absorption approaches are well suited for very large structures, while muon scattering tomography (MST) targets medium scale, heavily shielded objects such as dry storage casks and cargo containers. MST leverages multiple Coulomb scattering (MCS), where the distribution of angular deflections and lateral...

64. Comparison of muon trajectory reconstruction methods with detailed track simulations for track reconstruction optimization

Prof. Adam Hecht (University of New Mexico)

02/06/2026, 16:20

Data Processing and Simulation Methods

Talk

Muon scatter imaging is based on detectors giving information on the incoming and outgoing muon positions and angles, and extracted total scattering angle, with no direct information on the muon track between the detectors. That is, we are trying to recover rich information from a low information environment. There are many methods of reconstructing each muon's path, including straight line,...