Bibliographic record
Abstract
TREX (21 cm Reionization EXperiment/Trail Reflection EXperiment) is a digital spectrometer with a broadband antenna optimized for frequencies of 70–250 MHz. A frequency-independent rectangular approximation of a two arm conical spiral antenna has been designed, built and tested. I have developed a short integer fast Fourier transform which performs faster than any other known algorithm on Intel platforms. There are two primary scientific goals for TREX: detection of the reionization epoch, and observations of forward scattering of meteors at multiple frequencies. A method to detect the reionization signature via the red-shifted 21 cm hydrogen line is discussed in detail. If the spectrum signature due to this line is in the form of a sharp "temperature step" of ∼ 0.02 K, it should be possible to detect it by using two specially designed antennas each rescaled by 1% in the frequency range of 150-250 MHz. I have measured the levels of noise in Algonquin Park, Canada, and concluded that activity in the sporadic E layer of the ionosphere seriously affects observations of the 21 cm reionization signature. Meteor forward-scattering is a well known method of detecting meteors using a radio telescope to receive signals emitted by distant transmitters and scattered from a meteor trail. If the same meteoroid is detected at additional frequencies due to forward scattering of rays coming from spatially separated transmitters, it is possible to estimate where the scattering occurred, and find the meteoroid velocity vector. Previously, there were no known methods to estimate orbital parameters from forward-scattering observations. In this project, a pipeline to find orbital parameters from the observations is developed. I performed a set of meteor observations at the Algonquin Radio Telescope site and used data to demonstrate the method of measuring the speed of a meteoroid. The data gathered show increased activity during the Lyrid meteor shower as expected. Finally, no evidence was found for the Pegasid shower.
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.
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) | 0.000 | 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 | 0.000 |
| 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".