| --- |
| license: mit |
| tags: |
| - gravitational-waves |
| - dingo |
| - waveforms |
| - sbi |
| pretty_name: DINGO-T1 25M waveform dataset |
| --- |
| |
| # DINGO-T1 waveform dataset — 25M (IMRPhenomXPHM, multibanded FD, SVD-200) |
|
|
| 25,000,000 frequency-domain precessing-BBH waveforms generated with the `dingo` pipeline, |
| matching the DINGO-T1 (arXiv:2512.02968) data setup. |
|
|
| - **Approximant:** IMRPhenomXPHM (precession + higher modes), `f_ref = 20 Hz` |
| - **Domain:** `MultibandedFrequencyDomain`, f ∈ [20, 1810] Hz, base `δf = 0.125` → 1104 MFD bins |
| - **Compression:** whitening (`aLIGO_ZERO_DET_high_P_asd.txt`) + SVD basis size **200** per polarization |
| - **Intrinsic prior:** chirp_mass U(15,150) M☉, q U(0.125,1), |a₁|,|a₂| < 0.99 (precessing), isotropic angles |
| - **Sharding:** 5 files × 5M each — `dataset_part_0..4.hdf5`, ~31 GB/shard (~155 GB total). |
| Each shard is a **self-contained** dingo `WaveformDataset` (same SVD basis + settings embedded). |
| |
| ## Files |
| - `dataset_part_{0..4}.hdf5` — the 5 shards (5M waveforms each) |
| - `svd.hdf5` — the shared SVD basis (also embedded in each shard) |
| - `settings.yaml` — exact generation settings |
| |
| ## Usage |
| Load any shard directly: |
| ```python |
| from dingo.gw.dataset import WaveformDataset |
| wfd = WaveformDataset(file_name="dataset_part_0.hdf5") |
| ``` |
| Merge all 5 into a single training file (needs ~160 GB RAM): |
| ```bash |
| dingo_merge_datasets --prefix dataset_part_ --num_parts 5 --out_file waveform_dataset.hdf5 |
| ``` |
| |
