Long-wavelength VCSELs for applications in absorption spectroscopy: tuning rates and modulation performances
Bibliographic record
Abstract
We used direct absorption spectroscopy for characterization of long-wavelength VCSELs (VERTILAS, Germany). Gas mixture CO:CO2=1:1 (total pressure 0.1 - 0.5 bar) provided in the tuning ranges of lasers a multitude of absorption lines spaced by intervals from 1 to 60 GHz that allowed the absolute calibration of laser scans. We measured tuning rates of the VCSELs in 0-50 °C temperature interval in dependence on injection current and modulation frequency varied from 0 up to 6.5 mA and 500 kHz respectively. The continuous tuning range of the 1577.5-nm VCSEL with single-mode output of up to 1.5 mW was found to be of 9.61 nm (38.62 cm-1). The temperature tuning rates for all VCSELs under study were in the range between -0.4 and -0.5 cm-1/ °C. The current tuning rates, varied from laser to laser between -1.9 and -2.2 cm-1/mA at low injection currents and modulation frequencies, were found to be twice as big for all lasers at high injection currents and decreased by factor 2 and 5 at modulation frequencies of 300 and 500 kHz respectively. A phase shift between the amplitude and frequency modulations was measured by fine tuning VCSEL with a DC injection current to display the end of a laser scan in respect to a local maximum in laser power. The phase shift changed from 0 to -0.3 rad with modulation frequency raised from 500 Hz to 500 kHz. The results of phase shift measurements have been compared with those obtained recently for DFB lasers with different methods.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".