7f040c3cf5
1. Iron saturation now in the dynamics (was the "13 Tesla" bug). Flux linkage lambda(x,I) = L_air*I + L_iron*overlap(x)*g(I) with g(I)=I_sat*tanh(I/I_sat) saturating at the current where iron reaches B_sat. Both the circuit back-EMF (dlambda/dx) and the force (coenergy, dW'/dx) derive from the SAME lambda, so energy stays conserved (0.025% error) AND the field caps at B_sat instead of running to 13 T. Reduces to the old 0.5*I^2*dL/dx in the low-current limit. On the config that reported 60% efficiency / 11.6 T, it now gives 40% / 1.90 T. 2. Switch surge-current limit is now a hard feasibility constraint: a config whose peak discharge current exceeds the switch's pulse rating (continuous * surge factor per device kind) is infeasible -- otherwise the optimizer "wins" with configs that vaporize their own thyristor (e.g. 119 A through a 12 A BT151). Capacitor current stays a warning (electrolytics tolerate pulses; DB has continuous not pulse ratings). Regression tests added for both (field cap near saturation, energy conservation under strong discharge). 87 tests pass. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
gausse
Симулятор и оптимизатор многоступенчатого электромагнитного ускорителя (coilgun) на реальных, доступных в рознице компонентах.
Полный план и чек-лист этапов — в PLAN.md.
Установка (Docker — основной способ)
docker compose build
docker compose run --rm --entrypoint pytest gausse -q # тесты
docker compose run --rm gausse sweep --n 1000 # CLI (после реализации Этапа 6)
Результаты (SQLite, отчёты) должны сохраняться в ./results, примонтированный
в контейнер как /app/results (см. docker-compose.yml), чтобы переживать
пересборку образа.
Установка без Docker (локальная разработка)
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest