Geant4 is more flexible but requires more skill of C++ program.
MCNP is not free, I guess. And not allowed to be used in some region of the world.
EGS mainly focus on low-enegy radiation of electrons.
From ChatGPT:
GEANT4, FLUKA, EGS, and MCNP are all popular simulation programs for dosimetry. Each program has its strengths and weaknesses, and the choice between them depends on the specific requirements of the user.
GEANT4 is widely used in the field of high-energy physics and offers a comprehensive set of tools for simulating a wide range of particle interactions with matter. It has excellent support for simulating electromagnetic and hadronic interactions, making it a good choice for dosimetry applications that involve high-energy particles.
FLUKA is a general-purpose Monte Carlo simulation program that is widely used in the field of radiation physics. It offers excellent support for simulating both electromagnetic and hadronic interactions, making it a good choice for dosimetry applications that involve a wide range of particles and energies.
EGS (Electron Gamma Shower) is a Monte Carlo simulation program designed specifically for simulating the interactions of electrons, photons, and positrons with matter. It offers excellent accuracy for low-energy interactions, making it a good choice for dosimetry applications that involve low-energy radiation.
MCNP (Monte Carlo N-Particle) is a general-purpose Monte Carlo simulation program that is widely used in the field of nuclear engineering. It offers excellent support for simulating a wide range of particle interactions with matter, making it a good choice for dosimetry applications that involve a wide range of particles and energies.
In summary, the choice of dosimetry simulation program depends on the specific requirements of the user, and each program has its strengths and weaknesses.
As you can see, answering this question requires more info. Every simulation code has its strengths and weakness. If you were asking me, I would go with MCNP especially if the the source is well known. But again, my answer is heavily biased.