Seismic Source Studies for Chemical Explosions in Granite
Bibliographic record
Abstract
Research Article| December 17, 2013 Seismic Source Studies for Chemical Explosions in Granite Anastasia Stroujkova; Anastasia Stroujkova aWeston Geophysical Corp., 181 Bedford Street Suite 1, Lexington, Massachusetts 02420ana@westongeo.com Search for other works by this author on: GSW Google Scholar Igor Morozov Igor Morozov bUniversity of Saskatchewan, 114 Science Place, Saskatoon, Saskatchewan S7N5E2, Canada Search for other works by this author on: GSW Google Scholar Author and Article Information Anastasia Stroujkova aWeston Geophysical Corp., 181 Bedford Street Suite 1, Lexington, Massachusetts 02420ana@westongeo.com Igor Morozov bUniversity of Saskatchewan, 114 Science Place, Saskatoon, Saskatchewan S7N5E2, Canada Publisher: Seismological Society of America First Online: 14 Jul 2017 Online ISSN: 1943-3573 Print ISSN: 0037-1106 Bulletin of the Seismological Society of America (2014) 104 (1): 174–183. https://doi.org/10.1785/0120130173 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Anastasia Stroujkova, Igor Morozov; Seismic Source Studies for Chemical Explosions in Granite. Bulletin of the Seismological Society of America 2013;; 104 (1): 174–183. doi: https://doi.org/10.1785/0120130173 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract Nuclear explosion monitoring is commonly performed at regional or teleseismic distances, and consequently the spectra of the recorded seismic waves are significantly affected by the propagation path. Study of the explosion‐source signature requires separation of the source and the propagation effects. In this article, we analyze the data from two chemical explosions (54 kg and 123 kg of ammonium nitrate and fuel oil) conducted in central New Hampshire. We use small calibration explosions (0.454 kg Composition B boosters) to remove the propagation effects and to extract the source time functions (STFs) for the larger explosions using the empirical Green's function method. Comparison of the deconvolved signals with the Mueller–Murphy model (Mueller and Murphy, 1971) shows that the observed STFs have significantly longer duration than the characteristic time scale predicted by the model. Source‐function period increase can be attributed to differences between nuclear and chemical sources. Alternatively, it can be explained by nonlinear attenuation effects near the source of shallow explosions. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".