V12 Ensemble Discovery Scan: Unseen Euclid Q1 Strong Lens Candidates
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2026
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| _version_ | 1866902142896308224 |
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| author | Bhabhrawala, Aliasger |
| author_facet | Bhabhrawala, Aliasger |
| contents | <p>Inference results from the V12 ensemble model (V7×0.3 + V10×0.2 + V11×0.5, <br>weighted logit averaging, AUROC=0.8871 on sacred test set) applied to 1,415 <br>unseen Euclid Q1 ERO images — all files outside the locked training, <br>validation, and test split. Contamination verified at zero overlap via <br>skycoord crossmatch <2 arcsec against all 1,000 sacred split files.</p> <p>Scanned data: 247 Grade B probable-lens candidates + 1,168 Grade C holdout <br>files from the ESA SLDE Q1 catalog (VIS band, 300×300px FITS cutouts, <br>0.1 arcsec/px). Inference used 4-angle TTA (0°/90°/180°/270° rotations, <br>averaged softmax). Classification threshold: P≥0.70.</p> <p>Key results:<br>- 33/86 pure Grade B candidates (no NEG prefix) flagged as lens at P≥0.70 (38.4%)<br>- 228 files with all three component models independently scoring P>0.90<br>- 625 total files flagged; 790 not flagged<br>- Grade C false positive rate reflects documented out-of-distribution <br> generalization limit consistent with ESA arXiv:2512.05899</p> <p>Package contents:<br>- v12_unseen_q1_scan_full.csv: All 1,415 files with per-model TTA and <br> no-TTA scores (p_v7, p_v10, p_v11, p_ensemble), RA, Dec, grade, <br> classification<br>- v12_unseen_lens_candidates.csv: 625 flagged candidates only (P≥0.70)<br>- v12_unseen_q1_scan_full.xlsx: Same as CSV in Excel format<br>- v12_discovery_gallery_final.pdf: 32-page visual gallery of top-ranked <br> candidates, 4 per page, sorted by ensemble TTA score descending, <br> annotated with individual model scores</p> <p>These are lens candidates for follow-up visual inspection, not confirmed <br>lens discoveries. Real lens prevalence in photometric surveys is ~0.1–1%.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20037150 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | V12 Ensemble Discovery Scan: Unseen Euclid Q1 Strong Lens Candidates Bhabhrawala, Aliasger gravitational lensing Euclid Q1 strong lensing machine learning lens detection galaxy survey <p>Inference results from the V12 ensemble model (V7×0.3 + V10×0.2 + V11×0.5, <br>weighted logit averaging, AUROC=0.8871 on sacred test set) applied to 1,415 <br>unseen Euclid Q1 ERO images — all files outside the locked training, <br>validation, and test split. Contamination verified at zero overlap via <br>skycoord crossmatch <2 arcsec against all 1,000 sacred split files.</p> <p>Scanned data: 247 Grade B probable-lens candidates + 1,168 Grade C holdout <br>files from the ESA SLDE Q1 catalog (VIS band, 300×300px FITS cutouts, <br>0.1 arcsec/px). Inference used 4-angle TTA (0°/90°/180°/270° rotations, <br>averaged softmax). Classification threshold: P≥0.70.</p> <p>Key results:<br>- 33/86 pure Grade B candidates (no NEG prefix) flagged as lens at P≥0.70 (38.4%)<br>- 228 files with all three component models independently scoring P>0.90<br>- 625 total files flagged; 790 not flagged<br>- Grade C false positive rate reflects documented out-of-distribution <br> generalization limit consistent with ESA arXiv:2512.05899</p> <p>Package contents:<br>- v12_unseen_q1_scan_full.csv: All 1,415 files with per-model TTA and <br> no-TTA scores (p_v7, p_v10, p_v11, p_ensemble), RA, Dec, grade, <br> classification<br>- v12_unseen_lens_candidates.csv: 625 flagged candidates only (P≥0.70)<br>- v12_unseen_q1_scan_full.xlsx: Same as CSV in Excel format<br>- v12_discovery_gallery_final.pdf: 32-page visual gallery of top-ranked <br> candidates, 4 per page, sorted by ensemble TTA score descending, <br> annotated with individual model scores</p> <p>These are lens candidates for follow-up visual inspection, not confirmed <br>lens discoveries. Real lens prevalence in photometric surveys is ~0.1–1%.</p> |
| title | V12 Ensemble Discovery Scan: Unseen Euclid Q1 Strong Lens Candidates |
| topic | gravitational lensing Euclid Q1 strong lensing machine learning lens detection galaxy survey |
| url | https://doi.org/10.5281/zenodo.20037150 |