New CHIME/FRB I catalogue updates released (Hashimoto+, 2022)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The CHIME/FRB Collaboration (2021ApJS..257...59C, Cat. J/ApJS/257/59) released the new Canadian Hydrogen Intensity Mapping Experiment (CHIME) FRB catalogue that includes 536 FRB events detected over an effective survey duration of 214.8 d, of which 474 are unique non-repeating FRB sources and 18 are repeating FRB sources. The new CHIME FRBs allow a much better statistical analysis of the FRB population with about one order of magnitude larger homogeneous sample than that in previous works.In this work, we present energy functions and volumetric rates of the new CHIME FRBs as a function of redshift to constrain the FRB progenitor without any prior assumption on the redshift evolution, (i.e see section Introduction). From selection functions analysis (i.e see section 2.1 Selection functions), we select 535 FRBs sources with 599 FRBs events which have passed through our data quality cut-offs. Then we compute physical parameters (e.g energy, density, flux, redshift) and probabilitics parameters (e.g as weight factors) as product results of the derived energy functions (i.e see section 3 Results). All these data are available in table.dat.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it