ON THE RADIAL EXTENT OF THE DWARF IRREGULAR GALAXY IC10
Bibliographic record
Abstract
We present new deep and accurate space (Advanced Camera for Surveys–Wide Field Planetary Camera 2 on board the Hubble Space Telescope ) and ground-based (Suprime-Cam at Subaru Telescope, Mega-Cam at Canada–France–Hawaii Telescope) photometric and astrometric data for the Local Group dwarf irregular IC10. We confirm the significant decrease of the young stellar population when moving from the center toward the outermost regions. We find that the tidal radius of IC10 is significantly larger than previous estimates of r t ≲ 10'. By using the I , V–I color–magnitude diagram based on the Suprime-Cam data, we detect sizable samples of red giant (RG) stars up to radial distances of 18'–23' from the galactic center. The ratio between observed star counts (Mega-Cam data) across the tip of the RG branch and star counts predicted by Galactic models indicates a star count excess at least at a 3σ level up to 34'–42' from the center. This finding supports the hypothesis that the huge H i cloud covering more than 1° across the galaxy is associated with IC10. We also provide new estimates of the total luminosity ( L V ∼ 9 × 10 7 L ☉ , M V ∼ −15.1 mag) that agree with similar estimates available in the literature. If we restrict our study to the regions where rotational velocity measurements are available (r ≈ 13'), we find a mass-to-light ratio (∼10 M ☉ / L ☉ ) that is at least one order of magnitude larger than previous estimates. The new estimate should be cautiously treated, since it is based on a minimal fraction of the body of the galaxy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".