First combined studies on Lorentz Invariance Violation from observations\n of astrophysical sources
Bibliographic record
Abstract
Imaging Atmospheric Cherenkov Telescopes study the highest energy (up to tens\nof TeV) photon emission coming from nearby and distant astrophysical sources,\nthus providing valuable results from searches for Lorentz Invariance Violation\n(LIV) effects. Highly variable, energetic and distant sources such as Pulsars\nand AGNs are the best targets for the Time-of-Flight LIV studies. However, the\nlimited number of observations of AGN flares or of high-energy pulsed emission\ngreatly restricts the potential of such studies, especially any potential LIV\neffects as a function of redshift. To address these issues, an inter-experiment\nworking group has been established by the three major collaborations taking\ndata with Imaging Atmospheric Cherenkov Telescopes (H.E.S.S., MAGIC and\nVERITAS) with the aim to increase sensitivity to any effects of LIV, together\nwith an improved control of systematic uncertainties, by sharing data samples\nand developing joint analysis methods. This will allow an increase in the\nnumber of available sources and to perform a sensitive search for redshift\ndependencies. This presentation reviews the first combined maximum likelihood\nmethod analyses using simu- lations of published source observations done in\nthe past with H.E.S.S., MAGIC and VERITAS. The results from analyses based on\ncombined maximum likelihood methods, the strategies to deal with data from\ndifferent types of sources and instruments, as well as future plans will be\npresented.\n
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".