A VO `container' for astronomical optical/UV spectra
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
FITS formats have provided a convenient means to access and interpret spectroscopic data for many years. However, each mission has been free to choose its FITS flavor and provide necessarily instrument specific keywords during this time. Over time, and with new missions developed with unique instrumental configurations, this has created a challenge for spectroscopic applications, which must be written in a complex fashion to recognize, read, and decipher the idiosyncrasies relating to each instrument. Moreover, some HST heritage instruments (GHRS, FOS) have stored different vectors in separate files, requiring their assembly before they can be used. With the advent of the VO and the first generation Simple Spectral Access Protocol (SSAP), it is possible to design a Spectral Container that addresses these issues by serving as a translation layer between the standardized VO protocols and the current FITS file formats. We have constructed SSAP services that point to a secondary data archive holding Spectral Container-packaged files for several MAST (Multi-Mission Archive at Space Telescope) missions. To date, these missions include those for which single-order observations are available: GHRS, FOS, EUVE, HUT, WUPPE, IUE, and STIS. In this poster we discuss the current status and examples of the Container using the Specview and VOSpec applications. We also discuss the need for second-generation VO protocols that will provide for multiple spectra (echelle multi-orders, time-series) within a single Container file.
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.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it