SNLS Spectroscopy: Testing for Evolution in Type Ia Supernovae
Why this work is in the frame
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Bibliographic record
Abstract
\n Aims.We present a quantitative study of a new data set of high redshift\nType Ia supernovae spectra, observed at the Gemini telescopes\nduring the first 34 months of the Supernova Legacy Survey. During this time \n123 supernovae candidates were observed, of which 87 have been identified\nas SNe Ia at a median redshift of $z=0.720$. Spectra from the\nentire second year of the survey and part of the third year (59 total\nSNe candidates with 46 confirmed SNe Ia) are published here for the\nfirst time. The spectroscopic measurements made on this data set are used \ndetermine if these distant SNe comprise a population similar to those observed\nlocally. \n Methods.Rest-frame equivalent width and ejection velocity\nmeasurements are made on four spectroscopic features. Corresponding\nmeasurements are presented for a set of 167 spectra from 24 low-z\nSNe Ia from the literature.\n Results.We show that there exists a sample at high redshift with properties\nsimilar to nearby SNe. The high-z measurements are consistent with\nthe range of measurements at low-z and no significant \ndifference was found between the distributions of measurements at low\nand high redsift for three of the features. The fourth feature\ndisplays a possible difference that should be investigated\nfurther. Correlations between Type Ia SNe properties and host galaxy\nmorphology were also found to be similar at low and high z, and\n within each host galaxy class we see no evidence for\nredshift-evolution in SN properties. A new correlation between SNe Ia\npeak magnitude and the equivalent width of SiII absorption is presented. \nTests on a sub-set of\nthe SNLS SNe demonstrates that this correlation \nreduces the scatter in SNe Ia luminosity distances in a manner\nconsistent with the lightcurve shape-luminosity corrections that are\nused for Type Ia SNe cosmology.\n Conclusions.We show that this new sample of SNLS SNe Ia has spectroscopic properties similar to nearby objects. \n
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 0.000 |
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 it