Pith. sign in

REVIEW 2 cited by

Ho:YLF amplifier with Ti:Sapphire frontend for pumping mid-infrared optical parametric amplifier

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2004.12648 v1 pith:ZI5QZUUB submitted 2020-04-27 physics.optics

Krishna Murari , Fangjie Zhou , Yanchun Yin , Yi Wu , Bruce Weaver , Timur Avni , Esben Larsen , Zenghu Chang This is my paper · ORCID
classification physics.optics
keywords amplifierlaseropticalparametricpulsefrontendpulsespumping
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We present a Ho:YLF Chirped-Pulse Amplification (CPA) laser for pumping a longwave infrared Optical Parametric Chirped Pulse Amplifier (OPCPA) at a 1 kHz repetition rate. By utilizing a Ti:Sapphire laser as a frontend, 5-{\mu}J seed pulses at 2051 nm laser pulse are generated in a Dual-Chirp Optical Parametric Amplifier (DC-OPA), which are amplified to 28 mJ pulses with a pulse duration of 6.8 ps. The scheme offers a potential driver for two-color (800 nm and 8 {\mu}m) high harmonic generation with an increased keV X-ray photon flux.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation

    cs.DB 2025-08 conditional novelty 6.0 of 10

    LLMLog uses edit-distance similarity, confidence-weighted annotation selection, and adaptive demonstration coverage to improve LLM-based log template generation.

  2. Evaluating Software Plagiarism Detection in the Age of AI: Automated Obfuscation and Lessons for Academic Integrity

    cs.SE 2025-05 conditional novelty 5.0 of 10

    Combining Token Sequence Normalization and Subsequence Match Merging substantially improves JPlag's resilience to automated obfuscation, including AI-based rewriting, without raising false-positive rates.

Pith tools