Moret Monte Carlo neutron simulator

Computing, Code, Neutronics, Install

project page: http://www.irsn.org/moret
code syntax: http://www.irsn.org/moret

Wrapping

input: all Moret input files (including Apollo-Moret, Dragon-Moret, Scale-Moret and continous energy Moret),
- 2D geometry viewer
- Apollo-Moret parameterizing of dilution laws (based on CRISTAL Cigales GUI)
input parameters syntax
- variable:
```
$(variable_name)
```
- formula:
```
@{formula_expression}
```
output:
- Monte Carlo k-effective model “mean_keff”, “sigma_keff”,
- perturbated k-effectives “mean_dkeff_pertu”, “sigma_dkeff_pertu”,
- Monte Carlo beta-effective model “mean_betaeff” (in energy pointwise calculations), lifetime model (in energy pointwise calculations)
- Monte Carlo Kij matrix model “mean_kij”, “sigma_kij”
running progress: current k-effective estimation, %¹⁾ of calculation done

Example

input file:

DEBUT_MORET
Neutrons propagation in sphere
 
MINI 1000 
SIGM 0.1 
PAS 1
NOBI
 
GEOM
	MODU 0
 
		TYPE 1 BOIT @{$r*1.1} @{$r*1.1} @{$r*1.1}
		VOLU 1 0 1 1 0.0 0.0 0.0
 
		TYPE 2 SPHE $r
		VOLU 2 1 2 2 0.0 0.0 0.0
	FINM
FING
 
CHIMIE 
	MACRO 1 1 AIR 1
	MICRO 1 4 U235 U238 H2O O
	CONC 3.28696E-05 6.16634E-04 3.24752E-02 1.29901E-03
FINC
 
SOUR
	POINT 100 MODU 0 VOLU 2 0.0 0.0 0.0 FPOI
*	VOLM 100 MODU 0 VOLU 2 FVOL
FINS
 
SORT
	POST
		KEFF
		SOUR
	FPOS
FSOR
 
FIND
FIN_MORET

input variables: r
output: mean_keff, sigma_keff

Installation

user side:
- unzip
  plugin-Moret.zip
  in Promethee installation directory,
- restart Promethee GUI.
server side:
- unzip
  plugin-Moret.zip
  in Promethee installation directory,
- open shell console, check “moret.py -v 4.B.4 -a Promethee_Install_Path/examples/sphere_M4B2” creates a “sphere_M4B2.listing” file,
- add
```
<CODE name="Moret_5A1" command="moret.py -v 5.A.1 -a" />
<CODE name="Moret_4B4" command="moret.py -v 4.B.4 -a" />
```
  line in calculator.xml file inside ”<calculator>” tag,
- wait for configuration refresh (5 s. if calculator is free).

¹⁾ estimated