1st Training School on Testing Fundamental Physics with Seismology

Session

Poster session

Sep 8, 2026, 4:30 PM

HUN-REN Balaton Limnological Research Institute

Presentation materials

6_Dzievisz_Flash_talk-FuSe.PDF

flash_talk.pdf

15. Analysis and characterisation of a single flare of the blazar BL Lacertae

Dr Jelena Strišković, Rafaela Hujbert

Poster

This thesis consists of two parts: theoretical and research. The theoretical part briefly presents the history and classification of gamma rays, describes the mechanisms of their origin and the instruments used for their detection, with emphasis on the Fermi-LAT satellite. Special attention is given to active galactic nuclei and their subclass blazars, with a detailed focus on the blazar BL...

39. Characterising Coherent Laser Interferometry on a Long-Baseline Optical Fiber for Seismic-Wave Observations

Mr Daniele Caruana (University of Malta)

Poster

Seismic observations provide information about the Earth's internal structure and its response to transient disturbances. Conventional seismometers provide measurements at discrete locations while coherent laser interferometry applied to deployed telecommunication fibers offers a way to extend seismic observations into sparsely instrumented regions, including the submarine environment.

We...

43. Comparing different equalities of Eötvös' measurements of the weak equivalence principle

Rakaczki Péter (Wigner Fizikai Kutatóközpont)

Poster

The weak equivalence principle is a basic assumption of physics. It has been tested multiple times throughout history, with the greatest improvement in accuracy being Loránd Eötvös’ measurements with a torsion balance at the beginning of the twentieth century. Decades later, however, a systematic error was found in his measurements, still unexplained today. In order to find an explanation, new...

13. Data-Driven Interpretation of Structural Seismic Response for Interdisciplinary Seismology Applications

Mazllum Kamberi (University of Prishtina)

Poster

Seismic and geophysical observations are becoming increasingly important in interdisciplinary research connecting Earth sciences, engineering, and fundamental physics. From a civil and structural engineering perspective, buildings and infrastructure can also provide useful information through their response to ground motion. This contribution presents a conceptual framework for linking...

11. EDAT-BBH: An Energy-Modulated Transformer with Dual-Energy Attention Masks for Binary Black Hole Signal Classification

Dr Ali Celik (Burdur Mehmet Akif Ersoy Uiversity), Osman Tayfun Bişkin (Burdur Mehmet Akif Ersoy Uiversity)

Poster

Gravitational-wave (GW) detection has become a significant area of research following the first successful observation by the Laser Interferometer Gravitational-Wave Observatory (LIGO). The detection of signals emerging from binary black hole (BBH) mergers have challenges due to the presence of non-Gaussian and non-stationary noise in observational data. Using traditional matched filtering...

10. Efficient Glitch Classification in Gravitational-Wave Detector Data Using Deep Learning and Machine Learning

Ali celik (Burdur Mehmet Akif Ersoy University)

Poster

Gravitational-wave detectors are affected by short-duration non-Gaussian noise transients, known as glitches, which can resemble astrophysical gravitational-wave signals and reduce the quality of detector data. Reliable classification of these glitches is therefore important for gravitational-wave data analysis. In this work, we investigate a computationally efficient approach to glitch...

19. From Cosmo-Seismic Correlations to a Weekly Effect in Global Seismicity

Ms Magdalena Bochnak (University of the National Education Commission)

Poster

Previous studies [1] reported statistically significant correlations between variations in secondary cosmic-ray detection rates and global seismic activity, with the strongest correlations observed when seismic data are shifted by approximately two weeks relative to cosmic-ray data. The main characteristics of this cosmo-seismic effect will be presented and discussed.

Motivated by the...

14. Generative AI for computational challenges in fundamental physics

Anisa Khatun (HUN-REN Wigner Research Centre for Physics (HU))

Poster

Modern experiments in fundamental physics increasingly rely on large-scale simulations and machine-learning techniques to extract rare signals from complex datasets. While these approaches have become indispensable, the computational cost of producing sufficiently large Monte Carlo datasets is rapidly becoming one of the major challenges for future precision measurements.

In this...

40. Hamiltonians with complex periodic potentials but real energy spectra

Mr Jakub Borkowski (Uniwersytet Wrocławski)

Poster

In this work, we consider non-Hermitian Hamiltonians exhibiting $\mathcal{PT}$ symmetry, which possess real energy spectra despite their complex potentials. We study in detail the generalized Kronig-Penney model with a complex periodic potential of the Dirac delta form to explore its electronic properties. By analyzing special cases, we demonstrate the effect of the complex form of the...

12. Machine-Learning-Based Data Cleaning for Anomaly Searches in the CREDO Smartphone Detector Network

Bartosz Izydorczyk (Instytut Fizyki Jądrowej im. Henryka Niewodniczańskiego Polskiej Akademii Nauk w Krakowie)

Poster

The Cosmic-Ray Extremely Distributed Observatory (CREDO) uses a geographically distributed network of smartphones to detect secondary cosmic radiation. A major challenge in such a citizen-science experiment is the heterogeneous quality of data and the large number of artefacts caused by light leakage, damaged pixels and improper detector operation. This poster presents a data-processing...

18. Modeling lepton-nucleus scattering cross sections using transfer learning technique

Dr Beata Kowal (University of Wrocław)

Poster

The neural network framework allows us to obtain empirical fits to electron scattering cross sections on carbon over a wide kinematic region. Transfer learning makes it possible to adapt a deep neural network trained on one type of data to new problems. We apply transfer learning to derive a new model from a previously obtained set of neural networks trained on electron-carbon cross-section...

16. MSS formalism for a spherically symmetric spacetime

Grzegorz Dziewisz (University of Wrocław)

Poster

In this poster, we present recent results on the application of the minisuperspace (MSS) formalism to General Relativity in the static, spherically symmetric sector. We investigate the correspondence between the MSS approach and the standard formulation of Einstein's field equations, demonstrating that the formalism reproduces a known non-trivial spacetime solution while providing a consistent...

20. Nonlinear dynamics and attractor reconstruction of complex physiological time series: an ECG analysis

Dr Giacomo Nasuti (University of Parma)

Poster

This study investigates the presence of deterministic chaos in human cardiac dynamics by analyzing electrocardiographic (ECG) time series through the framework of nonlinear dynamics. Although the heartbeat exhibits a macroscopic rhythm, secondary fluctuations display complex, irregular patterns characteristic of non-linear systems. The scalar time series was analyzed using spectral...

21. Radon Monitoring Network

Ms Anna Fischer (Budapest University of Technology and Economics), Dr Edit Fenyvesi (HUN-REN Wigner Reseach Centre for Physics), Małgorzata Papała (Wrocław University)

Poster

Radon concentrations in enclosed subterranean environments exhibit strong temporal variability driven by environmental conditions, making reliable short-term forecasting challenging. Elevated radon levels and the decay products of $^{222}$Rn are particularly relevant in underground laboratories, caves, and mines, where they pose health risks and can contribute significantly to the radiation...

41. Radon Monitoring Network

Ms Anna Fischer (Budapest University of Technology and Economics), Edit Fenyvesi, Ms Małgorzata Papała (University of Wrocław)

Poster

Radon concentrations in enclosed subterranean environments exhibit strong temporal variability driven by environmental conditions, making reliable short-term forecasting challenging. Elevated radon levels and the decay products of $^{222}$Rn are particularly relevant in underground laboratories, caves, and mines, where they pose health risks and can contribute significantly to the radiation...

9. Thermodynamically modified theories of Newtonian gravity

Máté Pszota (Wigner RCP, Eötvös University)

Poster

By investigating Newtonian gravity within the framework of nonequilibrium thermodynamics it is possible to use specific energy density with up to 3rd order gradient dependency. Assuming a cross-effect between the mechanical and gravitational terms of the thermodynamic forces and fluxes arising from the specific entropy production rate, a generalised, and via the cross-effect, a modified...

17. Using seismic data to constrain modified gravity theories

Dr Aleksander Kozak (University of Wrocław)

Poster

We propose a novel method for testing gravity models using seismic data from Earth. By imposing observational constraints on Earth's moment of inertia and mass, we rigorously limit the gravitational models' parameters within a 2σ accuracy. In our research, we focus on the Palatini f(R) gravity in the Palatini approach, the Eddington-inspired Born Infeld gravity, and Degenerate Higher-Order...