Correlation Patterns of Muon Flux With Vertical Atmospheric Profiles: Insights From Monte Carlo Simulations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389005%3A_____%2F25%3A00641124" target="_blank" >RIV/61389005:_____/25:00641124 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00177016:_____/25:N0000090

Výsledek na webu

<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JA034303" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JA034303</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2025JA034303" target="_blank" >10.1029/2025JA034303</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Correlation Patterns of Muon Flux With Vertical Atmospheric Profiles: Insights From Monte Carlo Simulations

Popis výsledku v původním jazyce

The production, attenuation, and absorption of secondary cosmic rays (SCR) are influenced by atmospheric parameters such as air pressure and temperature. To reliably correlate SCR flux measurements with atmospheric ionization driven by energetic particle precipitation, these dependencies must be quantified. Monte Carlo simulations enable detailed modeling of stochastic interactions between cosmic radiation and atmospheric components, providing a robust framework for analyzing underlying physical processes and predicting SCR flux under varying atmospheric conditions. This study introduces a simulation model based on the Monte Carlo N-Particle (MCNP) code, integrating atmospheric profiles from radiosonde data to model the production, absorption, and attenuation of SCR. The model's accuracy was validated through comparisons with the PHITS (Particle and Heavy Ion Transport code System)-based Analytical Radiation Model in the Atmosphere (PARMA) and experimental ground-based muon count measurements. It was subsequently used to investigate the dependence of muon flux on atmospheric pressure and temperature up to 20 km altitude. Results reveal a complex relationship between muon flux and atmospheric variables, particularly in the troposphere and lower stratosphere, where pressure correlations and barometric coefficients exhibit both positive and negative values depending on altitude. The model provides a valuable tool for investigating interactions between SCR and climate variables such as humidity and cloud coverage. Furthermore, the model can be coupled with dosimetry models to assess the biological effects of SCR, including deoxyribonucleic acid (DNA) damage, genomic instability, cellular dysfunction, and long-term health risks such as cancer.

Název v anglickém jazyce

Correlation Patterns of Muon Flux With Vertical Atmospheric Profiles: Insights From Monte Carlo Simulations

Popis výsledku anglicky

The production, attenuation, and absorption of secondary cosmic rays (SCR) are influenced by atmospheric parameters such as air pressure and temperature. To reliably correlate SCR flux measurements with atmospheric ionization driven by energetic particle precipitation, these dependencies must be quantified. Monte Carlo simulations enable detailed modeling of stochastic interactions between cosmic radiation and atmospheric components, providing a robust framework for analyzing underlying physical processes and predicting SCR flux under varying atmospheric conditions. This study introduces a simulation model based on the Monte Carlo N-Particle (MCNP) code, integrating atmospheric profiles from radiosonde data to model the production, absorption, and attenuation of SCR. The model's accuracy was validated through comparisons with the PHITS (Particle and Heavy Ion Transport code System)-based Analytical Radiation Model in the Atmosphere (PARMA) and experimental ground-based muon count measurements. It was subsequently used to investigate the dependence of muon flux on atmospheric pressure and temperature up to 20 km altitude. Results reveal a complex relationship between muon flux and atmospheric variables, particularly in the troposphere and lower stratosphere, where pressure correlations and barometric coefficients exhibit both positive and negative values depending on altitude. The model provides a valuable tool for investigating interactions between SCR and climate variables such as humidity and cloud coverage. Furthermore, the model can be coupled with dosimetry models to assess the biological effects of SCR, including deoxyribonucleic acid (DNA) damage, genomic instability, cellular dysfunction, and long-term health risks such as cancer.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/9B23001" target="_blank" >9B23001: Metrology for Earth Biosphere: Cosmic rays, ultraviolet radiation and fragility of ozone shield</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Geophysical Research-Space Physics

ISSN

2169-9380

e-ISSN

2169-9402

Svazek periodika

130

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

e2025JA034303

Kód UT WoS článku

001603408700001

EID výsledku v databázi Scopus

2-s2.0-105020476368