
Developed enhanced dark bremsstrahlung simulation features for the LDMX-Software/ldmx-sw repository, focusing on configurable energy scaling, backscatter estimation, and A-prime LHE ID support. Leveraged C++ and Python to update core and biasing modules, enabling forward-only energy scaling and improved simulation fidelity. Introduced a new target-tracking example and provided an example configuration script to facilitate experimental planning and user onboarding. Code quality was improved through ruff formatting and a targeted typo fix, increasing reliability and maintainability. This work advanced the simulation stack’s physics modeling capabilities and streamlined the process for configuring and running target tracking simulations.
July 2026 — LDMX-Software/ldmx-sw: Delivered enhanced dark bremsstrahlung simulation features with configurable energy scaling, backscatter estimation, and A-prime LHE ID, plus a new target-tracking example. Updated core and biasing modules for forward-only energy scaling, introduced A-prime LHE ID settings, and provided an example configuration script to support target tracking simulations. Moved relevant tooling to Biasing/exampleConfigs/ and aligned code with v2.3.0. Included minor quality improvements (ruff formatting) and a typo fix for target_db_with_tracking.py to improve reliability and reproducibility. This work improves physics fidelity, experimental planning accuracy, and user onboarding for the LDMX simulation stack.
July 2026 — LDMX-Software/ldmx-sw: Delivered enhanced dark bremsstrahlung simulation features with configurable energy scaling, backscatter estimation, and A-prime LHE ID, plus a new target-tracking example. Updated core and biasing modules for forward-only energy scaling, introduced A-prime LHE ID settings, and provided an example configuration script to support target tracking simulations. Moved relevant tooling to Biasing/exampleConfigs/ and aligned code with v2.3.0. Included minor quality improvements (ruff formatting) and a typo fix for target_db_with_tracking.py to improve reliability and reproducibility. This work improves physics fidelity, experimental planning accuracy, and user onboarding for the LDMX simulation stack.

Overview of all repositories you've contributed to across your timeline