Bibliographic record
Abstract
<b>Data for </b><b>Slow light nanocoatings for ultrashort pulse compression</b><br>M. Ossiander1,* Y.-W. Huang1,2, W. T. Chen1, Z. Wang3, X. Yin1, Y. A. Ibrahim1,4, M. Schultze3, F. Capasso1*1 John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford St, Cambridge, MA 02138, USA. <br>2 Department of Photonics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.<br>3 Institute of Experimental Physics, Graz University of Technology, Petersgasse 16, 8010 Graz, Austria.<br>4 University of Waterloo, Waterloo, ON N2L 3G1, Canada.<br>* Corresponding Authors: mossiander@g.harvard.edu, capasso@seas.harvard.edu<br>Manuscript published in <b>Nature Communications 12, 6518 (2021),</b> https://www.nature.com/articles/s41467-021-26920-6Details of the data files are described below and in the description.txt files. Methods are described in the publication.-- <br><b>Folder frog_data: </b><br>This folder contains the frequency resolved optical gating data for the 162 nm nanopillar diameter coating.<br>Reference data for the incoming femtosecond laser pulses and the incoming laser pulses transmitted through the uncoated substrate only are also provided.The variables in the files are:<br>wavelength_nm: wavelength axis for frequency resolved optical gating spectrogram in nanometers.<br>delay_fs: delay axis for the frequency resolved optical gating spectrogram in femtoseconds.<br>spectrogram: the raw frequency resolved optical gating spectrogram in arbitrary units.<b>Folder white_light_data: </b><br>This folder contains the raw white light interferometer data.<br>Folders are named according to the nanopillar diameter of the examined compressor coating.<br>For each coating, reference data of the empty interferometer, and reference data of the substrate in one interferometer arm (double pass) is also provided.The variables in the files are:<br>wavelength: wavelength axis for the recorded spectral intensities in nanometers.<br>background: Spectral intensity after the interferometer with both interferometer arms blocked in arbitrary units.<br>A: Spectral intensity after the interferometer with sample arm blocked in arbitrary units.<br>B: Spectral intensity after the interferometer with reference arm blocked in arbitrary units.<br>AB: Spectral intensity after the interferometer in arbitrary units.<br>wavelengthGD: wavelength axis for the calculated group delay in nanometers.<br>frequencyGD: frequency axis for the calculated group delay in petahertz.<br>GDnm: calculated group delay in femtoseconds (plot versus wavelengthGD).<br>GDPHz: calculated group delay in femtoseconds (plot versus frequencyGD).
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) | 0.026 | 0.003 |
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; both teacher heads agree on what is shown here.
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".