Latest Articles for Monte-Carlo Simulations

This article examines the role of jets and 1-jettiness in particle physics.

Learn how to assess model fit using methods like the Weibull distribution.

Understanding clusters can reveal secrets about complex systems and phase transitions.

New methods improve understanding of particle collisions and parton interactions.

A look into methods that study the fabric of the universe.

An overview of non-polynomial interactions and their impact on scalar field theories.

New methods enhance accuracy in predicting financial price movements and option pricing.

A Python tool for quick simulation of low-energy gamma rays and electrons.

Combining neural classifiers with Monte Carlo simulation improves data analysis methods.

New methods improve the study of lepton magnetic moments at high energy collisions.

Examining how the ILC will enhance our understanding of particle interactions.

This article examines parameter uncertainties in thermodynamic models and their effects on predictions.

A new method measures particle beam polarization, enhancing collision research.

Research on electric bubbles reveals new applications in computing and energy technologies.

Scientists develop a tool for examining low-energy X-rays from ion-electron interactions.

Research reveals new evidence of triboson particles in high-energy collisions.

A method to assess data fit using Monte Carlo simulations.

An in-depth look at how relaxing systems behave under various conditions.

New method speeds up uncertainty analysis while maintaining tensor grid benefits.

A novel setup improves measurement of low-level radioactivity in environmental samples.

New methods improve efficiency in complex physics simulations and modeling.

Exploring how Rydberg atoms parallel infection spread in complex systems.

New methods improve predictions for spent nuclear fuel management.

Researchers study jet production in deep inelastic scattering to test quantum chromodynamics.

A fresh method for more accurate credit risk estimation and management.

A look at how quantum uncertainty impacts systems and technology.

Innovative approaches enhance understanding of molecular structures and their properties.

Research reveals patterns in high-energy particle collisions and their interactions.

Scientists study repeating Fast Radio Bursts to understand their origins and behavior.

Using deep learning for better basket option pricing accuracy.

Investigating rare particle decays with the Future Circular Collider offers new insights.

NectarCAM and NectarChain enhance cosmic ray detection at the CTA observatory.

Learn how regime-switching models enhance investment decision-making.

Hyper-Kamiokande seeks to answer key questions about the universe through neutrino study.

A look into modeling parton showers through advanced simulations and methodologies.

How quantum computing can enhance power system analysis and predictions.

Research reveals new details about resonances in particle physics.

A look into the Potts and Ehrenfest models to study non-equilibrium behavior.

A new model aims to improve predictions of space object densities in low Earth orbit.

Exploring the behavior of materials during phase transitions and their underlying principles.