Effect of the metallicity of the intergalactic medium in the Lyman‐<i>α</i> forest correlation function
Bibliographic record
Abstract
Abstract The Lyman‐ α (Ly α ) forest allows to constraint cosmological parameters at redshifts above using the technique of standard rulers determined by baryon acoustic oscillations. This makes it an important tracer for the study of the universe at high redshift. For this work, several synthetic datasets have been generated to understand the astrophysical effects and contaminants that contribute to the shape of the Ly α flux correlation function, and to be able to reproduce the correlation function measured with data spectra from different galaxy surveys (extended Baryon Oscillation Spectroscopic Survey and Dark Energy Spectroscopic Instrument). Among these phenomena the presence of metals in the intergalactic medium translate into an important bias in the flux correlation function with respect to the flux correlation function calculated considering an only Hydrogen in the intergalactic medium. In this work we study the influence of the metallicity in the Ly α flux correlation function, simulating the presence of four Silicon transitions in synthetic spectra developed in preparation for the Dark Energy Spectroscopic Instrument and compared with the data obtained in the 14th data release of the extended Baryon Oscillation Spectroscopic Survey. These results were used for the analysis of the 16th data release of the extended Baryon Oscillation Spectroscopic Survey, and are currently being used for the analysis of the first data release of the Dark Energy Spectroscopic Instrument survey.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".