RSICC Home Page COG LibMaker – Data Conversion Utility

RSICC CODE PACKAGE PSR-607

1.         NAME AND TITLE

COG LibMaker – Data Conversion Utility.

2.         CONTRIBUTORS

Lawrence Livermore National Laboratory, Livermore, California, USA

3.         CODING LANGUAGE AND COMPUTER

FORTRAN, Linux and Windows platforms (P00607MNYCP00).

4.         NATURE OF PROBLEM SOLVED

COG LibMaker contains various utilities to convert common data formats into a format usable by the COG – Multi-particle Monte Carlo Code System package, (C00777MNYCP01).
Utilities included:

ACEtoCOG - ACE formatted neutron data: Currently ENDFB7R0.BNL, ENDFB7R1.BNL, JEFF3.1, JEFF3.1.1, JEFF3.1.2, MCNP.50c, MCNP.51c, MCNP.55c, MCNP.66c, and MCNP.70c.

ACEUtoCOG - ACEU formatted photonuclear data: Currently PN.MCNP.30c and PN.MCNP.70u.

ACTLtoCOG – Creates a COG library from ENDL formatted activation data COG library.

EDDLtoCOG - Creates a COG library from ENDL formatted LLNL deuteron data.

ENDLtoCOG - Creates a COG library from ENDL formatted LLNL neutron data.

EPDLtoCOG - Creates a COG library from ENDL formatted LLNL photon data.

LEX – Creates a COG dictionary file.

SAB.ACEtoCOG - Creates a COG library from ACE formatted S(a,b) data.

SABtoCOG - Creates a COG library from ENDF6 formatted S(a,b) data.

URRtoCOG - Creates a COG library from ACE formatted probability table data.
This package also includes library checking and bit swapping capability.

5.         METHOD OF SOLUTION

Creates COG compatible library files from existing data files.

6.         RESTRICTIONS OR LIMITATIONS

Not stated

7.         TYPICAL RUNNING TIME

Not stated

8.         COMPUTER HARDWARE REQUIREMENTS

Linux and Windows based systems

9.         COMPUTER SOFTWARE REQUIREMENTS

Linux binaries included, Windows based users will need a functional FORTRAN compiler.

10.       REFERENCES

ReadMe Files

11.       CONTENTS OF CODE PACKAGE

The package is transmitted on one CD with the documentation and source code and Linux 64 bit executables.

12.       DATE OF ABSTRACT

June 2014

 

KEYWORDS:      DATA CHECKING; DATA PROCESSING, SPECTRA; DATA PROCESSING, UTILITY