OmniSky v1
Collection
Crossmatched, normalized multimodal astronomy: 20.4M DESI DR1 objects x 24 catalogs, 822 GB. Start with mmu-norm-index. • 20 items • Updated
Datasets:
object_id large_stringlengths 2 6 | split large_stringclasses 3
values | ene_low_kev listlengths 512 512 | ene_high_kev listlengths 512 512 | net_count_rate_density listlengths 512 512 | net_count_rate_density_error listlengths 512 512 | valid listlengths 512 512 | n_bins int64 6 512 |
|---|---|---|---|---|---|---|---|
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End of preview. Expand in Data Studio
L2 model-ready views (release v1)
The mmu-l2-* repositories provide processed, model-ready versions of the matching mmu-norm-* L1 data, while L1 keeps the normalized source measurements. L2 applies documented processing steps for training and evaluation, with the details for reversing each transformation stored in the row or in provenance.json.
| Repo | View | Reversal |
|---|---|---|
mmu-l2-tess |
per-sector relative flux f/median−1, time from first valid cadence |
flux = (rel+1)×flux_median_e_per_s; t = t_rel + t0 |
mmu-l2-sdss |
spectra zero-padded to 4,800 samples with valid mask |
drop valid=false samples |
mmu-l2-chandra |
bins zero-padded to 512 with valid mask |
drop padding |
mmu-l2-sne |
time-sorted sequences, band/survey tokens, ONE scale per object (flux: ÷ median |f|; mag: − median m), representation column |
flux rows: v×scale; mag rows: v+scale |
mmu-l2-provabgs |
16/50/84 posterior percentiles per parameter | samples remain in L1 |
Each row keeps its assignment from splits/v1 (train, val, test, or unassigned). Images, DESI and VIPERS spectra, and Gaia already have a fixed shape, so their L2 preparation uses the L1 tensors with the training-only robust scaling statistics in mmu-norm-index under l2_stats/v1/ (z = (x − median) / iqr).
In every L2 view, padding is marked valid=false, one amplitude scale is used per object to preserve colors, statistics are fit on the training split only, and gaps are left as gaps.
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