The Aftershock Sequence of the 2010<i>M</i><sub>w</sub> 6.3 Rigan Earthquake in Southeast Iran: Further Evidence of a Hidden Fault in the Southern Lut Block
Bibliographic record
Abstract
The 20 December 2010 Mw 6.3 earthquake near Rigan in southeastern Iran occurred on a previously unknown active fault in the southern Lut block. Its po- sition was inferred by Walker et al. (2013) using Interferometric Synthetic Aperture Radar and the analysis of aftershocks recorded by the two permanent seismological networks in Iran. In this article, we analyze previously unavailable data from six tem- porary stations deployed immediately after the 2010 Rigan earthquake. We locate the aftershock sequence using two techniques: (1) a time-reversal method of our own, derived from the Waveloc algorithm of Langet et al. (2014) and (2) the NonLinLoc algorithm of Lomax et al. (2000). We detect more than 3900 events over the 7-day period of the deployment, 46 of which we consider to be well constrained. Our loca- tions lie on a northeast–southwest trend that corroborates the inferred fault location and provides further evidence of the presence of this hidden fault in the southern Lut block. The occurrence of hidden faults in this tectonically active region suggests that a re-evaluation of local and regional seismic hazard may be necessary.
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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 | 0.000 |
| 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) | 0.002 | 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 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".