Here, we use a compact gas cavity based on anti-resonance hollow-core fiber (HCF) for trace gas detection. Since there are lots of characteristic absorption lines (P and R branch) of CO2 molecule in 2 μm band, we used a self-made 2 μm fiber amplifier seeded by a precisely tunable narrow linewidth diode laser as the detection light source. The absorption characteristics of R(26), R(28), R(30) and R(32) at different CO2 pressure are measured and analyzed. This work provides a potential cost-effective method for the high-precision detection of trace gas.
In this paper, mode distribution in large-mode-area (LMA) 25/400 fiber was investigated while attempts to recognize and sort different modes with their combination were carried out on a CNN net via Tensorflow. VGG16 model was chosen as the backbone net through several test to increase precision. The model was trained on a dataset including 6000 pictures in 15 categories. And the final accuracy was up to 0.98. It indicates that recognizing modes in high power fiber laser system based on a CNN net was a feasible plan in the mode control assignment.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.