Reply to Comment on 'egs_brachy: a versatile and fast Monte Carlo code for brachytherapy'
Rowan M Thomson1,2, Randle E P Taylor1, Marc J P Chamberland1
1Department of Physics, Carleton Laboratory for Radiotherapy Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada.
Physics in Medicine and Biology
|December 2, 2017
Summary
This study addresses comments on a previous paper, identifying a fitting error but confirming the code's accuracy using raw data and new benchmarking. The core conclusion remains valid despite the identified issue.
Area of Science:
- Computational Physics
- Scientific Software Validation
Background:
- A previous study introduced a new computational code.
- Comments were raised regarding the fitting procedures used in the original paper.
Purpose of the Study:
- To address specific criticisms regarding a fitting error.
- To re-validate the accuracy of the computational code.
- To provide additional evidence supporting the code's reliability.
Main Methods:
- Identification and analysis of the source of a fitting error.
- Re-evaluation of conclusions using raw, un-fitted data.
- Generation of supplementary benchmarking data.
Main Results:
- A specific error in the fitting process was identified and explained.
- The accuracy of the computational code was confirmed, independent of the fitting error.
- New benchmarking data further supports the code's performance.
Conclusions:
- The identified fitting error does not invalidate the study's main conclusions.
- The computational code is demonstrated to be accurate and reliable.
- Further data supports the code's utility in scientific applications.
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