https://doi.org/10.1140/epjp/s13360-021-02120-5
Regular Article
A new hybrid next-event estimator for photon-based Monte Carlo dose rate calculations
1
CEA, DES, IRESNE, DER, Service de Physique des Réacteurs et du Cycle, Cadarache, 13108, Saint-Paul-lez-Durance, France
2
CEA, IRFM, Cadarache, 13108, Saint-Paul-Lez-Durance, France
3
Centre Léon Bérard, CNRS, Inserm, CREATIS UMR 5220 U1206, Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, 69373, Lyon, France
4
CEA, Service d’Etudes des Réacteurs et de Mathématiques Appliquées, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
Received:
30
June
2021
Accepted:
27
October
2021
Published online:
13
November
2021
This work describes the implementation of a deterministic-like straight-line transport routine inside the 
Monte Carlo code, aimed at developing a hybrid estimator that can speed up the MC calculation while retaining its precision. The algorithm is based on the exponential track length estimator or eTLE, a next-event estimator that has already been investigated for medical applications. In this implementation, the eTLE is paired with a forced detection algorithm. We describe the implementation of the method in , then we present the first results obtained over some test cases and compare them with the classic track-length estimator already implemented in . These results show that the forced detection technique drastically improves the eTLE performance.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021
