pycalc11: A Python Interface to the CALC VLBI Delay Model
Bibliographic record
Abstract
Accurate and precise delay models are essential to performing VLBI, especially in geodetic and astrometric applications. The CALC11 program has been a standard delay model in the VLBI world since the 1970s, aiming to provide geometric delays that are correct to picosecond precision. The difxcalc11 program provides an interface to CALC11 designed to work with the DiFX correlator, and updated the delay model to include new IERS parameters. Here, we present pycalc11, a Pythonic interface to the CALC11 program, derived from the difxcalc11 code base. In addition to providing a simpler interface that uses well-maintained astropy utilities, pycalc11provides users with direct access to underlying functions, and can lead to much more rapid development. We demonstrate pycalc11's consistency with difxcalc11 and with basic geometric delay calculations.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.028 |
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".