Mode visualisation and control of complex lasers using neural networks
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866908688760963072 |
|---|---|
| author | Ng, Wai Kit Raziman, T. V. Saxena, Dhruv Molkens, Korneel Tanghe, Ivo Xuan, Zhenghe Geiregat, Pieter Van Thourhout, Dries Barahona, Mauricio Sapienza, Riccardo |
| author_facet | Ng, Wai Kit Raziman, T. V. Saxena, Dhruv Molkens, Korneel Tanghe, Ivo Xuan, Zhenghe Geiregat, Pieter Van Thourhout, Dries Barahona, Mauricio Sapienza, Riccardo |
| contents | Understanding the behaviour of complex laser systems is an outstanding challenge, especially in the presence of nonlinear interactions between modes. Hidden features, such as the gain distributions and spatial localisation of lasing modes, often cannot be revealed experimentally, yet they are crucial to determining the laser action. Here, we introduce a lasing spectroscopy method that can visualise the gain profiles of the modes in complex lasers using an artificial neural network. The spatial gain distributions of different lasing modes in a disorderly coupled microring array are reconstructed without prior knowledge of the laser topology. We further extend the neural network to a tandem neural network that can control the laser emission by matching the modal gain/loss profile to selectively enhance the targeted modes. This mode visualisation method offers a new approach to extracting hidden spatial mode features from photonic structures, which could improve our understanding and control of complex photonic systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03815 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mode visualisation and control of complex lasers using neural networks Ng, Wai Kit Raziman, T. V. Saxena, Dhruv Molkens, Korneel Tanghe, Ivo Xuan, Zhenghe Geiregat, Pieter Van Thourhout, Dries Barahona, Mauricio Sapienza, Riccardo Optics Understanding the behaviour of complex laser systems is an outstanding challenge, especially in the presence of nonlinear interactions between modes. Hidden features, such as the gain distributions and spatial localisation of lasing modes, often cannot be revealed experimentally, yet they are crucial to determining the laser action. Here, we introduce a lasing spectroscopy method that can visualise the gain profiles of the modes in complex lasers using an artificial neural network. The spatial gain distributions of different lasing modes in a disorderly coupled microring array are reconstructed without prior knowledge of the laser topology. We further extend the neural network to a tandem neural network that can control the laser emission by matching the modal gain/loss profile to selectively enhance the targeted modes. This mode visualisation method offers a new approach to extracting hidden spatial mode features from photonic structures, which could improve our understanding and control of complex photonic systems. |
| title | Mode visualisation and control of complex lasers using neural networks |
| topic | Optics |
| url | https://arxiv.org/abs/2407.03815 |