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Phase Diagrams

Phase Diagrams

A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...

Phase Diagram

Phase Diagram

The phase of a given substance depends on the pressure and temperature. Thus, plots of pressure versus temperature showing the phase in each region provide considerable insights into the thermal properties of substances. Such plots are known as phase diagrams. For instance, in the phase diagram for water (Figure 1), the solid curve boundaries between the phases indicate phase transitions (i.e., temperatures and pressures at which the phases coexist).

Phase Changes

Phase Changes

Phase transitions play an important theoretical and practical role in the study of heat flow. In melting or fusion, a solid turns into a liquid; the opposite process is freezing. In evaporation, a liquid turns into a gas; the opposite process is condensation.
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...

Phase Transitions

Phase Transitions

Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...

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Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

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Toolkit implementation to exchange phase-space files between IAEA and MCNP6 monte Carlo code format.

Sandra Oliver¹, Belén Juste¹, Rafael Miró¹

¹Instituto de Seguridad Industrial, Radiofísica y Medioambiental (ISIRYM), Universitat Politècnica de València, València, Spain.

International Journal of Radiation Biology

|August 8, 2022

Summary

This study developed a tool to convert phase space files between IAEA and MCNP6 formats, enhancing data sharing and reproducibility in Monte Carlo simulations for radiation sources and medical applications.

Keywords:

IAEA phsp format MCNP6 Monte Carlo simulations phase space file

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Area of Science:

Medical Physics
Computational Physics
Radiation Dosimetry

Background:

Monte Carlo simulation codes utilize IAEA phase space files for radiation source characterization.
Standardized IAEA format facilitates interoperability between different simulation codes.
MCNP6 lacks native support for IAEA phase space files, hindering research reproducibility.

Purpose of the Study:

Develop a tool for converting phase space files between IAEA and MCNP6 formats.
Enable seamless integration of IAEA-formatted data into MCNP6 simulations.
Improve reproducibility of Monte Carlo simulation results.

Main Methods:

A C-language toolkit was developed using IAEA libraries for bidirectional file conversion.
Verification tests were conducted to validate the toolkit's functionality.
Simulations of a linear accelerator treatment were performed using PENELOPE and MCNP6 with converted files.

Main Results:

Converted depth dose curves and profiles showed compatibility between PENELOPE and MCNP6.
Round-trip conversion (IAEA to MCNP6 and back) successfully reproduced identical results.
The toolkit demonstrated accurate and reliable phase space file format conversion.

Conclusions:

The developed toolkit provides the MCNP6 community with a validated method for using IAEA-formatted phase space files.
The tool facilitates sharing of radiation source data and enhances result reproducibility across different Monte Carlo codes.
This advancement supports collaborative research and standardized data exchange in computational radiation physics.