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Reactor core physics: deterministic and Monte Carlo methods - International school in nuclear engineering


Nuclear reactor


Technologies and data sciences

Computation codes

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© L. Godart / CEA

In summary

The course deals with advanced numerical methods to solve the Boltzmann equation for neutron transport. Most recent deterministic and probabilistic methods developped respectively in APOLLO2/APOLLO3 and TRIPOLI4 codes are exposed.

Who should take this course ?

The doctoral course is designed for young researchers, PhD students, post-doctorates and engineers from nuclear industry companies, research centres, Universities, Technical Safety Organizations (TSO), regulatory bodies.

Learning outcomes

• Describe the neutron interactions in a nuclear reactor.
• Compare the deterministic and probabilistic methods for solving the neutron transport equation.
• Identify the main sources of uncertainties in a neutronic calculation (deterministic or probabilistic).

The course is presented by three Senior Exports of the CEA involded for many decades in developing calculation schemes for fast and thermal reactor cores.


- Chain reaction and neutron balance.
- Transport equation and calculation schemes.
- Solving the steady-state integro-differential transport equation.
- Neutron slowing-down and resonance absorption.
- Verification & Validation of neutronics code packages.

- The Monte Carlo method.
- Monte Carlo techniques.

- Monte Carlo codes.
- Monte Carlo/Deterministic coupling and benchmarking.

Minimum background: Master of Science.

Self assessment

Teaching method and tools


Program manager :

Jean-Christophe KLEIN
+33 4 42 25 79 58

training sessions

No training session is scheduled for the moment, if this training interests you, please contact us.

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