SPIDERweb: a Neural Network approach to spectral phase interferometry
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913415967014912 |
|---|---|
| author | Gianani, Ilaria Walmsley, Ian A. Barbieri, Marco |
| author_facet | Gianani, Ilaria Walmsley, Ian A. Barbieri, Marco |
| contents | Reliably characterised pulses are the starting point of any application of ultrafast techniques. Unfortunately, experimental constraints do not always allow optimising the characterisation conditions. This dictates the need for refined analysis methods. Here we show that neutral networks can provide a viable characterisation when applied to data from SPIDER. We have adopted a cascade of convolutional networks, addressing the multiparameter structure of the interferogram with a reasonable computing power. In particular, the necessity of precalibration is reduced, thus pointing towards the introduction of neural networks in more generic arrangements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_02976 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SPIDERweb: a Neural Network approach to spectral phase interferometry Gianani, Ilaria Walmsley, Ian A. Barbieri, Marco Optics Reliably characterised pulses are the starting point of any application of ultrafast techniques. Unfortunately, experimental constraints do not always allow optimising the characterisation conditions. This dictates the need for refined analysis methods. Here we show that neutral networks can provide a viable characterisation when applied to data from SPIDER. We have adopted a cascade of convolutional networks, addressing the multiparameter structure of the interferogram with a reasonable computing power. In particular, the necessity of precalibration is reduced, thus pointing towards the introduction of neural networks in more generic arrangements. |
| title | SPIDERweb: a Neural Network approach to spectral phase interferometry |
| topic | Optics |
| url | https://arxiv.org/abs/2407.02976 |