Contrary to what is generally believed, MORET is not an acronym. This name refers to a major contributor of the code, namely Mr Moret-Bailly, who has developed the first algorithms for neutron tracking in the code in the 60's.

The MORET code is available for use. It is available at the OECD/NEA databank and RSICC. For more information, here is how to get the code.

There is no notice or user's manual given here. You will find these documents in the package distribution of the code.

There is not training course dedicated to the code yet. However, we can mention the existence of a short presentation of the code with some exercises in the training course of the CRISTAL package. Note also that you can find some tutorials on this web site.

Please contact us and ask your questions.

The code has been created on a Linux Ubuntu 8.04 machine (32 and 64 bits). Then the code should run normaly on any computer that has a Linux operating system.
Note that operating systems such as Windows or Mac OS X are not supported yet.

You may insert the first DVD in your computer drive. You will find a README file that will explain the different stages of the installation.

I asked the DVD but I have not received yet.

Please report this problem to the organization (OECD/NEA databank or RSICC) to which you made your request.

The DVD I received can not be read from my computer drive. Who may I contact to fix this?

You should contact the organisation (OECD/NEA databank or RSICC) who provided the DVD.

You should refer to the README file provided with the DVD.

The MORET code requires the following environmental variables to locate its basic data and the location of nuclear data librairies:

• MORET_XML_LIB_PATH: the location of the XML data files used by MORET;
• SHARED_XML_LIB_PATH: the location of the default nuclear data;
• MORET_LANG: the default langage used to print the calculation results.

The package distribution includes several tests to verify the installation of the code. The verification procedure is described in the README file.

A MORET input dataset consists of one ASCII file in which the input data are written.

A block is a set of keyword and their parameters describing an aspect of the simulation delimited by the concerned block keywords. For example, the geometry block is delimited by GEOM and ENDG keywords and contains the description of the geometry. Main blocks are about geometry, material composition, initial neutron source, outputs, simulation methods.

Only three blocks are mandatory:

• the GEOM block used to describe the geometry of the system;
• the MATE block used to describe the various materials defined for the considered configuration and control the loading of their associated cross sections;
• the SOUR block used to initialise the distribution of the neutron sources in the fissile media.

There are two possibilities:

• if the block is mandatory, the code will produce an error relative the absence of this block ;
• if the block is optional, the code will use predefined values for the elements described in this block.

MORET is provided with 4 data libraries based on JEF 2.2, JEFF 3.1, ENDF/B-VI.8 and ENDF/B-VII.0. These libraries include processed MCNP(X) ACE files which are used by the MORET code to perform continuous energy calculations.

Considering multigroup calculations, cross sections comes from a deterministic calculation. Coupling are made with several versions of APOLLO, DRAGON and SCALE. You may see the user manual for further informations.

I want to use another evaluation than those provided with the code. How do I do?

You should produce your own ACE files using NJOY. This being done, you should create a nuclear data library directory file that use these processed files. Then, you should use your own evaluation.

The standard procedure is to use the script moret.py provided when getting the code. This script takes the input data set as a parameter.

The calculation process is divided in several steps. For each calculation, the launch script creates a temporary working directory where all input files are copied. A temporary result file is created in the input file directory to follow the calculation progress.
When the calculation ends, the script renames the output files of the temporary directory, and moves them in the input file directory. Finally, the temporary directory is deleted.

The moret.py script provides a number of additional options for the user. An overview of these options can be obtained by using the following command line:
moret.py -h

Two graphical user interface may be used as an alternative to the command line exectution: LATEC which is the workbench dedicated to CRISTAL v2.0 or Promethee.

The end is abnormal when the code detects an error in the calculation or in the dataset. These errors are described through a message to allow the user to correct the problem himself.

The code allows estimating various physical quantities for neutrons. Designed for criticality safety studies, its aim is to estimate the effective multiplication factor k_eff . The code is also able to estimate other physical quantities such as the neutron flux, the reaction rates, etc.
Furthermore, the output capabilities have been improved, allowing user to obtain any physical values using customized tallies.

The complete output has been divided into a number of separate files:

• the listing file which reproduces the input file and will contain any warning and/or error messages related to the input along with other information such as the simulation log and some calculation results;
• the postscript file which contains the graphics generated by the code;
• an XML formatted file that contains the output related to the calculation (k_eff, flux and reaction rates, etc.).

Additional files are created according to the simulation and output options of the data set. For more information on the structure of these output files, we refer to the user manual.

Currently there is no post-treatment tool for the outputs.

The postscript file contains some graphics which can be read thanks to any software that can read postscript format such as the ghostview programm.

Several indicators are available for checking the convergence of the calculation. There are two statistical tests, the Shannon entropy, an automated estimation of the transient length and plots of mean keff versus the number of initial cycles taken out of estimations.