TRECH is a C++ simulation and learning toolkit that couples Geant4 particle transport with a stable, scriptable experiment layer and a provenance-first data trail. The core idea is simple: experiments can be authored in JavaScript, where scenarios can compute and compose configuration—covering unit conversions, dynamic assembly, and multi-entity layouts—before handing that configuration to the deterministic-by-default C++ runtime via JSON serialization.
In parallel, the runtime now includes a first lab command path that accepts live JSON commands like patch, simulate, snapshot, and quit. This enables the bootstrapping of interactive 3D-lab workflows without requiring a fixed JS scenario file.
Prediction layers can relax determinism in a controlled way, with all changes logged in the provenance trail. The JS runtime utilizes a standard-compliant engine (QuickJS) which allows it to evolve without changing the configuration surface. To ensure accountability, hook registrations and deterministic callback dispatch points (init/run/event/step) are logged alongside run-level guardrails, patch/emit counters, hook-emit dropped counters, and hook-emit payload records.
Essential project points are:
- The simulation must relies less as possible on pre-determined physical and chemical formulas but has to obtain the behaviour at elementary particels level with GEANT4 and then changing simulation scale step by step determining statistical behaviours at larger scales. Physical and chemical laws can be used for comparison and validation purposes.
- TRECH has to costantly enforce GEANT4 simulation quality and statistical training and inference through ad hoc algorithms and using torch, learning when a prediction can be accurate and when is needed another statistical behaviour training on the run.
Current stage: H2O baseline with optics/stratification, initial Geant4-DNA wiring, and nuclear cycle consistency analysis
- Reproducible: every run writes provenance (config JSON + hashes + seeds + versions).
- Determinism modes: strict simulation runs remain reproducible; predictive ML layers can be enabled with explicit provenance capture.
- Programmable: JS can compute and assemble configs (helpers, unit conversions, loops) while C++ remains in control.
- Extensible: initial Geant4-DNA physics wiring is available (guarded by
TRECH_ENABLE_DNA_CHEM); chemistry and ML stubs remain. - Agnostic config: long-term, keep the C++ config surface physics/chemistry agnostic while JS scenarios and lab sessions express combinations; define physics/chemistry classes, properties, and extensions in authoring layers.
- System abstraction: point-agnostic, ensemble-level metrics (densities) connect particle-scale runs to macro-scale predictions.
- Online learning: LibTorch/TorchScript is the chosen ML runtime for learning from simulation outputs (slower inference, but richer training loops).
- Simulate H2O fluid behavior with Geant4 using as much subatomic detail as practical.
- Secondary reference ("Vostok" milestone): simulate carbon nanotube variants (structure, chirality, diameter) and electron behavior differences, including Fermi gap modeling, per
docs/CNT/BackToTheCarbon.md. - Learn to separate predictable events from exceptional ones so only outliers are re-simulated.
- Scale to large molecule counts with multi-scale acceleration (e.g., Lattice Boltzmann, variance reduction, reduced-order models).
- Prioritize photon transport accuracy (scattering, absorption, refraction, color response) within molecular volumes.
- "Apollo" milestone: totally generic physical simulator able to simulate and predict complex systems (chemistry on high volumes) and physical interactions
- Authoring input is either a JS experiment (
run) or a live JSON command stream (lab). - C++ core parses config, applies deterministic patches/overrides, and tracks lab/session metadata.
- Geant4 layer runs the canonical lifecycle and emits scoring + provenance.
- System aggregation computes point-agnostic ensemble metrics for ML and multiscale stages.
See docs/structure.md for the detailed skeleton and docs/trech-roadmap.md for the full plan.
Mermaid diagrams of the workflow, Geant4 wiring, prediction loop, and ML scale-up path live in CHARTS.md.
git submodule update --init --recursive
cmake --preset dev
cmake --build --preset dev
./build/dev/trech run examples/experiments/hello_world.js
./build/dev/trech lab --config examples/lab/realtime_lab_bootstrap.json
Build artifacts live under build/ and are ignored by git.
trech run <experiment.js> [--macro <file>] [--ui] [--output <dir>] [--seed <n>] [--events <n>]
trech lab [--config <file>] [--commands <file>] [--macro <file>] [--ui] [--output <dir>] [--seed <n>] [--events <n>]
Examples:
./build/dev/trech run examples/experiments/hello_world.js --output out
./build/dev/trech run examples/experiments/water_box.js --seed 42 --events 100
./build/dev/trech run examples/experiments/h2o_fluid.js
./build/dev/trech run examples/experiments/hello_world.js --macro examples/macros/minimal.mac
./build/dev/trech lab --config examples/lab/realtime_lab_bootstrap.json
./build/dev/trech lab --config examples/lab/realtime_lab_bootstrap.json --commands examples/lab/realtime_lab_commands.jsonl
lab mode command schema (JSON object per line, stdin or --commands file):
{"action":"patch","patch":{...}}merge a config patch into the live session state.{"action":"simulate","events":N,"seed":S}run Geant4 with the current state.{"action":"snapshot"}print the current canonical config JSON.{"action":"help"}print supported actions.{"action":"quit"}close the lab session.
examples/experiments/hello_world.js: minimal baseline.examples/experiments/water_box.js: container volume holding explicit water material (non-chemical boundary).examples/experiments/config_optics.js: medium box with optics enabled (includesoptics.spectrumsample) and explicit water material.examples/experiments/h2o_fluid.js: H2O fluid stub with container + brine mixture + nested solute seed.examples/experiments/h2o_single_molecule.js: single-molecule proxy stub with container + nested sphere proxy.examples/experiments/h2o_optics_beam.js: optical photon beam through water (spectrum-enabled, explicit water material).examples/experiments/config_stratify.js: event stratification thresholds/labels.examples/experiments/config_stratify_ml.js: stratification with TorchScript model path stub.examples/experiments/config_chemistry_stub.js: chemistry/DNA wiring (DNA physics when enabled; chemistry stage still stubbed by default).examples/experiments/config_multiscale_stub.js: multi-scale stub wiring config.examples/experiments/config_nitrogen_carbon_cycle.js: nitrogen gas <-> carbon-14 cycle scenario (N-14 + n -> C-14 + p,C-14 -> N-14 + e- + anti_nu_e) with Geant-backed consistency/Q-value reporting.examples/experiments/config_cnt_stub.js: CNT stub modeled in a fluid container with explicit materials and nested volumes.examples/experiments/config_cnt_world_stub.js: CNT stub volume placed in a void container in the world (no medium box).examples/experiments/config_cnt_optics_stub.js: CNT geometry + optics mixed testing stub (medium box + optics enabled).examples/experiments/config_flow_language.js: flow-style scenario usingTRECH_FLOWchaining (set,defaults,merge,push,derive,ensureArray,normalizeDetectorAliases,finalize,require) and function-basedTRECH_CONFIG.examples/experiments/config_hook_dispatch.js: hook runtime smoke example (ctx, deterministicemit,onInitoverride patch, and hook guardrails:hooks.maxStepCallbacks,hooks.maxEmitsPerCallback,hooks.maxEmitPayloadBytes).examples/experiments/testscenario_osmotic.js: validation scenario for osmotic dehydration via dimensional exclusion (docs/testscenario_osmotic-todo.md); a coarse-grained 2D MD bath of H2O + glucose around a pored membrane runs inside the hook layer (one Geant4 event = one MD tick) and emitsosmotic_snapshot/final_summarytotrech_hook_emits.jsonlwithosmotic_shift_observedanddimensional_exclusion_holdsflags.examples/experiments/testscenario_pascal.js: validation scenario for Pascal's principle and material deformation (docs/testscenario_pascal-todo.md); three vessel models (ideal-rigid, Hookean-spring, finer micro/macro structural mesh) are advanced throughthermalize → baseline → compress → hold → releasephases with per-bucket deterministic initialization, emittingpascal_snapshot/pascal_summarywithpascal_principle_holds,plastic_damping_observed, andmacro_mesh_consistentflags.examples/experiments/trech_helpers.js: JS helper module (units, constants, material presets, geometry helpers).examples/experiments/config_multi_beam_units.js: unit conversion + multi-beam composition example (usesbeamsarray normalization).examples/experiments/include_error_demo.js:TRECH_INCLUDEstack demo (intentional failure viainclude_error_helper.js).examples/lab/realtime_lab_bootstrap.json: JSON bootstrap config fortrech lab(no JS authoring required).examples/lab/realtime_lab_commands.jsonl: sample real-time lab command stream (patch/simulate/snapshot).
Helper modules are single-file today; load them with TRECH_INCLUDE("trech_helpers.js") to keep line numbers stable.
Optics can be constant or spectral. Use optics.spectrum with energyEv or wavelengthNm
entries to override refractive index/absorption/scatter per wavelength while keeping the
config JSON canonical.
H2O stubs author system blocks in JS to label ensembles and keep aggregation point-agnostic.
CNT runs are still a parallel track for schema/physics coherence, but they now use the
generic geometry.volumes surface. Volumes declare shapes (box/tube/sphere), materials,
placements, and optional scoreEdep flags. The CNT stubs steer the beam across a tube
shell volume to exercise volume_edep_mev while keeping comparisons focused on electron
transport; photon counts are a secondary comparison in mixed tests.
trech_provenance.jsonl: run provenance records (config JSON/hash, seed, Geant4/runtime metadata, determinism mode, stratify model path/hash, stratify source counters, hook registration/dispatch counters with step/emit guardrail metadata,hook_patch_count/hook_emit_count/hook_emit_dropped_count, nuclear cycle summary counts, and system event moment summaries).trech_scores.jsonl: scoring summaries (total energy deposit, per-volume energy deposits whenscoreEdepis enabled, optical photon counts/track length when optics are enabled, determinism mode, stratify model hash metadata, hook dispatch counters/guardrail fields including emit guardrails,hook_patch_count/hook_emit_count/hook_emit_dropped_count, system-level density metrics plus event-level moments, chemistry/DNA flags, stratify counts, and nuclear cycle consistency/Q-value payloads).trech_hook_emits.jsonl: deterministic hookctx.emit(tag, payload)records (hook name, event/step context, tag, parsed payload).trech_event_scores.jsonl: per-event scoring summaries whenstratify.enableis true.trech_event_features.jsonl: per-event features whenstratify.dumpFeaturesis true.- TorchScript models consume the feature vector in
FeaturePipeline::kSchemaIdorder (trech_event_features_v1:total_edep_mev,total_track_length_mm,total_step_count,total_track_count,optical_photon_steps,optical_photon_tracks,optical_photon_track_length_mm). trech_resim_queue.jsonl: exceptional event queue whenstratify.dumpResimQueueis true.
By default these are written to the current working directory; use --output to redirect.
Schema details: docs/output_schema.md.
System aggregation uses system.volumeMm3 when provided; otherwise it derives volume from the medium box (if present) or the world cube.
Hook registrations are recorded in the config JSON; determinism and stratify model provenance fields are emitted directly by the runtime.
- JS is a full authoring runtime: use helpers to convert units, assemble multi-entity configurations, and gate choices on runtime arguments.
- Experiments set
globalThis.TRECH_CONFIGto an object, JSON string, or function returning one;globalThis.TRECH_HOOKSis optional and recorded for provenance. TRECH_FLOW(initial)is available globally for flow-like authoring with deterministic fluent transforms and checks:set,defaults,merge,push,ensureArray,derive,selectBeam,normalizeDetectorAliases,finalize,require/assert,when,tap, andbuild.- Determinism is explicit via
determinism.mode("strict"default,"predictive"to enable ML inference paths when configured). - Use
geometry.volumesto describe named shapes and placements; enablescoreEdepto capture per-volume energy deposits. - Build recursive scenes by assigning
placement.parentto other volume names; container volumes (vacuum material) can bound fluids without modeling container chemistry. - Use
materialsto define simple mixtures (density + component fractions) when NIST materials are insufficient; optionalsmilesis a placeholder for future registry metadata. beamsis supported for array definitions (normalized to the active/first entry);beamremains as a single-entry alias.- Use
nuclear.cyclesfor isotope-cycle consistency analysis. Reactions are declared withreactants/productsparticipants ({z,a}ions orparticlenames) and TRECH computes Geant-backed Q-values plus charge/baryon conservation checks. detectorremains the canonical runtime key, but top-levelenvironmentandmediumare accepted as authoring aliases and normalized by the loader.G4_*materials refer to the Geant4/NIST database; wrap them with JS presets when clarity matters.- Collections should use plural names and accept either a single object or an array; loaders normalize single objects into arrays (materials/components/tags/optics.spectrum/hooks.registered accept single values).
- Multi-beam, multi-source, and layered systems are intended targets; the engine should grow toward generic particle/source definitions without schema fragmentation.
- Use
TRECH_INCLUDEto load helper modules while preserving per-file line numbers. - JS runtime errors include stack traces with filenames (including
TRECH_INCLUDEsources). - Hook callback dispatch points are wired at init/run/event/step boundaries and exported as deterministic run-level counters (
hook_on_*) withhooks.maxStepCallbacksguardrails. - Hook callbacks receive deterministic context (
ctx.config,ctx.runtime, optionalctx.event, optionalctx.step, persistentctx.state, deterministicctx.rng.uniform/int, andctx.emit(tag, payload)), with per-callback emit guardrails (hooks.maxEmitsPerCallback,hooks.maxEmitPayloadBytes) and dropped-emit accounting. onInitsupports deterministic config patching through return value{ override: { ... } }; patch application is intentionally whitelisted (beam,run,optics,system,stratify) and tracked in outputs.- Hook API proposal:
docs/scenario_hooks.md(names, allowed operations, provenance requirements).
- Geant4: tracked as a required submodule under
thirds/geant4. You still need a Geant4 build/install to build TRECH; setGeant4_DIRorCMAKE_PREFIX_PATH(for example, to the submodule build/install). Build with-DTRECH_ENABLE_DNA_CHEM=ONto enable Geant4-DNA physics whenchemistry.enableis true. If a local clone exists underthirds/geant4, prefer it before fetching elsewhere.Geant4Config.cmakeis generated by the Geant4 build/install; the template lives atthirds/geant4/cmake/Templates/Geant4Config.cmake.in. Recommended: build inbuild/geant4-buildand install tobuild/geant4-installto keep the submodule clean. - QuickJS: required for JS experiments. Either vendor it under
thirds/quickjs/quickjsor configure with-DTRECH_FETCH_DEPS=ON(enabled by presets). - LibTorch: optional for
TRECH_ENABLE_TORCH. ProvideTorch_DIRorCMAKE_PREFIX_PATHfor the LibTorch install. - nlohmann/json: used for config parsing. Vendor under
thirds/jsonor fetch.
include/trech/ public headers
src/ C++ implementation
apps/trech-cli/ CLI entrypoint
examples/experiments JS experiments
tests/ unit tests
docs/ roadmap and structure
thirds/ submodules and vendored dependencies
ctest --preset dev
Fallback if presets are unavailable:
ctest --test-dir build/dev
scripts/run_validation.sh
Env overrides: BUILD_PRESET (default dev), EVENTS (default 100), SCORES_FILE (default trech_scores.jsonl), PROVENANCE_FILE (default trech_provenance.jsonl), SUMMARY_FILE (default docs/validation_summary.md).
Requires Ninja, a C++ compiler, Python 3, and Geant4 for the H2O run.
Successful runs write docs/validation_summary.md via scripts/update_validation_summary.py.
scripts/run_smoke.sh
Env override: BUILD_PRESET (default dev). Requires Ninja and a C++ compiler. Runs ctest after building.
ctest --preset devpassed (latest run); optics spectrum smoke run completed withexamples/experiments/config_optics.js(--events 50, outputbuild/dev/out_optics_spectrum).- H2O single-molecule proxy stub run completed with
examples/experiments/h2o_single_molecule.js(--events 50, outputbuild/dev/out_h2o_single). - H2O optics beam stub run completed with
examples/experiments/h2o_optics_beam.js(--events 50, outputbuild/dev/out_h2o_optics). - CNT smoke runs completed with
examples/experiments/config_cnt_stub.jsandexamples/experiments/config_cnt_world_stub.js(--events 5, outputsbuild/dev/out_cnt,build/dev/out_cnt_world); stubs now use container volumes with explicit materials (diameter 3.0 nm, wallCount 5) and a 0.8 MeV electron beam, rerun to refresh outputs. - CNT optics smoke run completed with
examples/experiments/config_cnt_optics_stub.js(--events 5, outputbuild/dev/out_cnt_optics); stub now uses a 1.2 MeV electron beam with thicker walls (diameter 3.0 nm, wallCount 5) andvolume_edep_mevscoring, rerun to refresh outputs. - CMake target link dependencies trimmed to avoid duplicate
libtrech_core.awarnings on macOS. - QuickJS header warnings are suppressed for the
trech_jstarget via scoped compile flags (Clang/GNU). - Last run:
scripts/run_validation.shfailed with a SIGSEGV duringexamples/experiments/h2o_fluid.jsafterctestpassed;docs/validation_summary.mdwas not refreshed. examples/experiments/config_chemistry_stub.jsrun completed with--events 5and--output build/dev/out_chem;trech_scores.jsonlincludes chemistry/DNA fields.- Nitrogen-carbon cycle scenario run completed with
examples/experiments/config_nitrogen_carbon_cycle.js(--events 5, outputbuild/dev/out_nitrogen_cycle); scores now includenuclear_cycleswith forward/backward Q-values (~0.626 MeV and ~0.156 MeV) and macro transition consistency (gas_to_solid). - Geant4 build/install is available at
build/geant4-install(from submodulethirds/geant4); pointGeant4_DIRorCMAKE_PREFIX_PATHthere when rebuilding. - Multi-beam helper run completed with
examples/experiments/config_multi_beam_units.js(--output build/dev/out_multi_beam);trech_scores.jsonlrecordedtotal_edep_mev25.0,system_volume_mm31000000.0,system_edep_mev_per_mm32.5e-05 (QBBC, optics disabled). - Flow-language scenario run completed with
examples/experiments/config_flow_language.js(--events 1, outputbuild/dev/out_flow_language); provenance normalizedenvironmenttodetectorand preserved flow-composed optics/materials/beam fields. ctest --preset dev -R trech_js_runtimepassed; includes test coverage forTRECH_INCLUDEerror filenames/line numbers plus flow-styleTRECH_CONFIG+TRECH_FLOW.trech labbootstrap smoke run completed withexamples/lab/realtime_lab_bootstrap.json+examples/lab/realtime_lab_commands.jsonl(--output build/dev/out_lab_boot); command stream applied live patches, ran simulation, and emitted snapshot JSON without JS scenario authoring.- Determinism/provenance smoke run completed with
examples/experiments/config_stratify_ml.js(--events 1, outputbuild/dev/out_determinism); outputs now includedeterminism_mode,predictive_mode,stratify_model_hash, and provenance stratify source counters. - Hook runtime extension smoke run completed with
examples/experiments/config_hook_dispatch.js(--output build/dev/out_hook_runtime_ext); scores/provenance now includehook_patch_countandhook_emit_count, andtrech_hook_emits.jsonlcaptures deterministic emit payloads. - Hook emit guardrails now enforce per-callback caps and payload-size caps (
hooks.maxEmitsPerCallback,hooks.maxEmitPayloadBytes); scores/provenance includehooks_guardrail_max_emits_per_callback,hooks_guardrail_max_emit_payload_bytes, andhook_emit_dropped_count(ctest --preset devpassed). - Validation summary (auto-updated after a successful run):
docs/validation_summary.md.
Long-form validation benchmarks live under docs/benchmarks/ as plain
text snapshots. They are the canonical baselines that future commits
diff against: when a run moves any number, the .txt shows the delta
inline in the PR so engine regressions or improvements are caught in
code review. The companion .md is human-readable and the .json
sidecar is the machine-readable form consumed by tooling.
Conventions for adding a benchmark:
- The scenario lives under
examples/experiments/<name>.js. - The validator lives under
scripts/validate_<name>.pyand emits three artifacts in one pass:docs/<name>.md(markdown report),docs/<name>.json(sidecar),docs/benchmarks/<name>.txt(committed reference). The.txtmust be deterministic given the same run inputs so the diff stays clean. - The validator is wired into
scripts/run_validation_suite.shwith aSKIP_<NAME>env knob so CI can opt out individually.
| Benchmark | Scenario | Validator | Reference | Status |
|---|---|---|---|---|
| Glass-of-Water optical inverse | validation_glass_of_water.js | validate_glass_of_water.py | docs/benchmarks/validation_glass_of_water.txt |
informational; reveals KK-truncation systematic in derived n (engine n_water ≈ 1.001 vs handbook 1.333) — inverse-Snell Δ glass→air +0.460, water→glass −0.135 at 4000 events / seed 20260525 |
Future benchmarks should be appended as new rows. Tighten the status
column to pass / fail once a benchmark has a numeric tolerance the
PR check enforces (today the row is informational and the diff is the
signal).
- Short-term next steps:
ROADMAP.md(editable source of truth) - Initial roadmap concept:
docs/trech-roadmap.md(reference-only) - H2O experiment spec (initial):
examples/experiments/h2o_fluid_spec.md - CNT parallel track for schema/physics coherence:
ROADMAP.md
See LICENSE.
