SearcharxivSearch

arXiv subjects

Mital Zalavadia

Publications and source records attributed to Mital Zalavadia.

2 recordsLinked to original sources

Warhead Verification with Neutron Beams and Electric Cryptography

Future arms control treaties may need to reliably verify warheads for dismantlement as part of the treaty verification process without exposing carefully guarded weapons information. Neutron Resonance Transmission Analysis has been proposed as a strategy to verify the authenticity of nuclear warheads and warhead components slated for dismantlement in an arms control verification exercise. Most actinides have resonant neutron absorption lines in the eV region, so by measuring the energy resolved transmission of neutrons and observing the resulting isotope-specific absorption lines, the authenticity of a nuclear device can be verified. To ensure acceptance of this technique by treaty partners, the measurement should minimize information learned about the warhead, including both geometric and isotopic features. Past implementations of transmission analysis acquired and compared neutron time-of-flight spectra. We have developed an analog electric cryptographic measurement proof of concept system where only counts in specific resonance energy windows are observed. The system uses discrete analog components, producing a complete data acquisition and analysis circuit. By limiting the design to easily verifiable parts, the entire apparatus is transparent to authentication and certification. The information security provided by this analog measurement technique may make it the verification basis of future ambitious arms control treaties that explicitly stipulate the dismantlement of nuclear weapons.

physics.app-ph

CardSharp: A python library for generating MCNP6 input decks

A python library for the creation of MCNP6 input decks is described. The library supports geometry generation with automatic assignment of surface/facet numbers, cell numbers, transform numbers and material numbers along with MCNP Universes and FILL feature. Rectangular and Hexagonal Lattices are also supported. A large material library is included. Support for a good selection of common sources and tallies is also provided. Cards or features which are currently not supported in the library can also be inserted as raw strings into the output stream. Combining Python features like descriptively named variables, functions and for loops with library functions provides an intuitive and parametric way to create, modify and maintain complicated geometries and simulation models. The generated card deck also has human readable comments which makes it easy to read and relate back to the python source. Some support for running MCNP, reading tallies and plotting is also provided.

physics.comp-ph