Run simulations
Launch packaged scenarios, demos, and Campaign Studio studies from the CLI or local cockpit.
Public beta | Apache-2.0 | v0.13.2 published
Run simulations. Inspect evidence. Compare campaigns. Publish reproducible artifacts.
QS-DMSS is a deterministic, evidence-first simulation lab for QuantumScalar dark matter workflows. It turns a run into a research object: configured, measured, bundled, verified, replayable, comparable, source-provenanced, citable, and ready for review. Its reference map labels which sources are conceptual context, numerical-method precedent, public source-data provenance, and research-object infrastructure.
The QS-DMSS loop
A simulation is not finished when it produces a plot.
Inspect evidence
Open metrics, manifests, reports, CSV samples, figures, verification status, and replay paths.
Compare campaigns
Evaluate parameter grids against explicit objectives, constraints, ranking weights, and recommendations.
Publish artifacts
Export research objects with citation blocks, evidence bundles, scenario metadata, and reproducibility notes.
Studio capabilities
Built around evidence, not just execution.
Lab Mode
A guided cockpit path for choosing a scenario, running the simulation, reading plain-language interpretation, and inspecting generated evidence.
Campaign Studio
Reusable study templates, editable parameter grids, decision profiles, scoring contracts, recommendation rationale, and last-run provenance.
Evidence Bundles
Run directories preserve configs, metrics, environment locks, figures, manifests, reports, hashes, verification status, and replay commands.
Publication Export
Compose a shareable research-object surface with scenario context, artifacts, metrics, evidence status, replay guidance, and DOI citation.
Dry-Run Slurm Review
Generate scheduler request bundles for HPC/RSE review without calling sbatch, squeue, or any real cluster submission path.
Validation Spine
Run the installable Fractal/Quadrant SSFM validation harness for convergence, norm conservation, geometry labels, and diagnostics before GPU expansion or decision-metric exposure.
Quantum-Readiness Evidence
Validate one bounded Fractal SSFM circuit encoding, prepare a provider-neutral request bundle, and inspect compilation semantics and resource attribution without credentials or QPU submission.
Reference-Data Provenance
Record official Planck, DESI, SDSS, and Gaia source lanes with access dates, citations, cache checksums, transform metadata, and evidence bundles without mirroring provider datasets.
Conceptual Reference Map
Distinguish scientific context, numerical-method precedent, public source-data provenance, research-object infrastructure, and future comparison targets without implying external validation.
Scientific Boundaries
QS-DMSS is beta software for reproducible package/evidence workflows. It does not claim peer-reviewed physical validation or production cosmological simulation performance.
Try it locally
Run the cockpit from the published package.
The current safest interactive experience is local-first. Install from PyPI with the quantum extra, start the cockpit on localhost, then run Lab Mode, Campaign Studio, live quantum validation, or provenance workflows without exposing a public compute surface. The quantum extra installs Qiskit and Aer so the validation harness executes locally instead of remaining snapshot-only.
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install --upgrade "qs-dmss[quantum]"
qs-dmss cockpit --host 127.0.0.1 --port 8001Hosted Studio Demo
Run the evidence-first workflow at app.qs-dmss.studio.
The public app is a constrained demonstration, not an unrestricted compute service. Run the packaged Lab Mode showcase, Guided Comparison, and Self-Interaction Sweep; inspect evidence and replay; then export a temporary research object. Arbitrary configs, uploads, custom filesystem paths, and real scheduler submission remain disabled.
Outputs expire after the hosted session. Do not upload sensitive data. The hosted service is always available, with bounded runs and temporary artifacts.
Search and research discovery
What researchers can find here.
QS-DMSS is open-source scientific Python software for reproducible QuantumScalar dark matter simulation workflows. It combines a local cockpit, Campaign Studio study templates, deterministic evidence bundles, public reference-data provenance, Fractal/Quadrant SSFM validation, provider-neutral quantum-readiness evidence, a contextual evidence assistant, dry-run Slurm request bundles, and publication export composition.
- QuantumScalar dark matter simulation workflows
- Schrodinger-Poisson-style deterministic experiments
- Evidence bundles, replay, verification, and citable artifacts
- Campaign Studio parameter grids and decision profiles
- Public data provenance for Planck, DESI, SDSS, and Gaia source lanes
- Fractal/Quadrant SSFM validation spine and claim-boundary notes
- Simulator-first QPU request and compilation resource evidence