Post-Compression of Pulses from an Yb Amplifier to 25fs at 40mJ
Bibliographic record
Abstract
The development of intense, short pulse duration IR driver has been one of the most demanding challenges pursued in the field of ultrafast optics over the past decades, driven by a number of applications in strong field physics, such as coherent soft X-ray high-harmonic generation [1], incoherent hard X-ray generation [2], laser-plasma acceleration [3], filamentation for atmospheric remote sensing. Different post-compression approaches have been demonstrated to achieve intense TW peak power pulses. Hollow core fibre (HCF) compression is one of the most successful and straightforward approaches, delivering excellent spatial profile as compared to filamentation [5]. So far, the output pulse energy of HCF compression for state-of-the-art Ti:Sapphire lasers is limited only to few mJ [6] due to the limits in critical peak power. Recently, the compression of laser pulses to the record value of 13mJ has been demonstrated, but with an efficiency below 20% [6]. In this work, we demonstrated a new route for generation and highly efficient compression of TW pulses with multi-tens mJ level. The combination of the start of art, high energy Yb laser with stretched HCF waveguide technology enabled us to achieve the record value of 40mJ, 25fs.
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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 | 0.000 | 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) | 0.005 | 0.001 |
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".