What this record contains. A reproducibility‑first bundle for HDBC v3.9: (i) publication‑style overlays and SNR maps using the collaboration‑grade PISC/PLI kernels and noise PSDs for LISA/DECIGO (via path‑driven CSV loaders), (ii) a geometry‑exact DECIGO two‑cluster overlap function γ_KT(f), (iii) sub‑mm gravity α–λ CSVs (Eöt‑Wash/HUST) to re‑shade the exclusion band, (iv) a ΔN_eff(a) track for light‑weight BBN/CMB emulation, and (v) a camera‑ready PDF with the triangle relation, posterior panel, and no‑go bound. How to switch to official kernels. Place the collaboration archives (PSDs, PLI, PISC) in `/data/pisc_pli/` and extract in place; the loaders auto‑detect these paths. CSV header format is `frequency_Hz,Omega_floor`. See `HDBC_official_readme.txt` and the manifest for canonical paths. License. Dataset © 2025, CC‑BY‑4.0. Third‑party kernel tables are CC‑BY‑4.0 from the collaboration’s Zenodo and credited in the README. How to switch to official kernels---------------------------------Drop the collaboration CSVs with header: frequency_Hz,Omega_floorinto your working directory and use the tiny loader included here: from HDBC_official_response_hooks import get_lisa_floor, get_decigo_floorlisa_floor = get_lisa_floor("lisa_official_Omega_floor.csv")decigo_floor = get_decigo_floor("decigo_official_Omega_floor.csv") The figures regenerate automatically once the floors are present; thegray ξ_sw ∈ [0.3, 1] systematics prior box and labels are unchanged.

Higher‑Dimensional Blast Cosmology (HDBC): kernels‑accurate GW overlays, sub‑mm constraints, and BBN posteriors. We release HDBC v3.9, a reproducibility‑first bundle coupling a higher‑dimensional “blast” microphysics ansatz to observational pipelines spanning space‑borne GW interferometers and early‑universe probes. Using the official peak/power‑law integrated sensitivity kernels and noise PSDs, we produce publication‑accurate SNR/PLI/PISC overlays for LISA and DECIGO/B‑DECIGO. A geometry‑exact DECIGO two‑cluster overlap function γ_KT(f) is supplied for D=1200 km, 60° arms, 15° tilt. On sub‑millimeter scales, we provide publication‑exact Eöt‑Wash/HUST α–λ CSVs to shade the exclusion band. A ΔN_eff(a) track enables light‑weight BBN/CMB emulation of Y_p and D/H posteriors. Appendices tabulate D‑brane GS couplings (massless Y), intersections, and Yukawa matrices. All artifacts are path‑driven, documented, and accompanied by a manifest, enabling exact reproduction without code edits. Manifest & README. Paths under `/data/pisc_pli/`, `/data/submm_bounds/`, and the track at `/DeltaNeff_track.csv`. That ensures others can reproduce your figures without editing code paths. Official kernels. The `fetch_pisc_pli.sh` + README tell users how to pull the official Schmitz PISC/PLI/PSD tables and extract them in place—perfect for reproducibility.