
In April 2025, Tomas Cisneros developed a FastFlux energy group structure for the terrapower/armi repository, enabling advanced fast neutron flux calculations. He defined the new energy grouping using the HIGH_ENERGY_EV and FAST_FLUX_THRESHOLD_EV constants, expanding the platform’s neutronics and physics calculation capabilities. Working in Python, Tomas focused on enhancing model fidelity for fast flux scenarios, addressing the need for more accurate and flexible fast-flux modeling. His contribution laid the groundwork for future improvements in fast neutron analysis, with clear traceability and maintainability in the codebase. The work demonstrated depth in neutronics and a methodical approach to physics calculations.

April 2025: Delivered a new FastFlux energy group structure in terrapower/armi to enable fast neutron flux calculations. The feature defines a FastFlux energy grouping using HIGH_ENERGY_EV and FAST_FLUX_THRESHOLD_EV constants, expanding armi's physics calculation capabilities for fast flux scenarios. This work enhances model fidelity for fast flux studies and lays groundwork for broader fast-flux modeling capabilities with clear traceability to commit 510a9b27ce2e61502c60ec0f3b0ab6fd0a7f8ee2.
April 2025: Delivered a new FastFlux energy group structure in terrapower/armi to enable fast neutron flux calculations. The feature defines a FastFlux energy grouping using HIGH_ENERGY_EV and FAST_FLUX_THRESHOLD_EV constants, expanding armi's physics calculation capabilities for fast flux scenarios. This work enhances model fidelity for fast flux studies and lays groundwork for broader fast-flux modeling capabilities with clear traceability to commit 510a9b27ce2e61502c60ec0f3b0ab6fd0a7f8ee2.
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