Dr. Daniel J. Heath Profile

Dr. Daniel J. Heath

at Univ of Southampton

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 17 March 2023 Presentation

Membrane external-cavity surface-emitting laser emitting in bi-frequency operation through micromachining of cavity mirror

Jake Daykin, Jonathan R. Woods, Daniel Heath, Roman Bek, James Wilkinson, Ben Mills, Michael Jetter, Peter Michler, Vasilis Apostolopoulos

Proceedings Volume 12404, 1240403 (2023) https://doi.org/10.1117/12.2647363

KEYWORDS: Mirrors, Micromachining, Terahertz spectroscopy, Laser ablation, Continuous wave operation, Spectroscopes, Reticles, Reflectivity, Optical sensing, Optical pumping

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Proceedings Article | 4 March 2019 Presentation + Paper

Towards dual frequency comb VECSELs with DMD laser-ablated spatial mode masks

Jonathan Woods, Daniel Heath, Jake Daykin, Theo Chen Sverre, Ben Mills, Arnaud Garnache, Anne Tropper, Vasilis Apostolopoulos

Proceedings Volume 10901, 109010I (2019) https://doi.org/10.1117/12.2508680

KEYWORDS: Photomasks, Mirrors, Frequency combs, Digital micromirror devices, Semiconductor lasers, Mask making, Laser ablation, Semiconductors, Mode locking, Laser resonators

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Proceedings Article | 4 March 2019 Presentation

Image-based monitoring of high-precision laser machining via a convolutional neural network (Conference Presentation)

Ben Mills, Daniel Heath, James Grant-Jacob, Yunhui Xie, Benita MacKay, Rob Eason

Proceedings Volume 10906, 109060Z (2019) https://doi.org/10.1117/12.2507376

KEYWORDS: Convolutional neural networks, Image processing, Materials processing, Femtosecond phenomena, Manufacturing, Nonlinear dynamics, Evolutionary algorithms, Neural networks, Light emitting diodes, Cameras

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Proceedings Article | 4 March 2019 Presentation

Neural networks for predictive laser machining capabilities (Conference Presentation)

Ben Mills, Daniel Heath, James Grant-Jacob, Yunhui Xie, Benita Mackay, Robert Eason

Proceedings Volume 10932, 1093208 (2019) https://doi.org/10.1117/12.2507375

KEYWORDS: Neural networks, Visualization, Digital micromirror devices, Beam shaping, 3D image processing, Visual process modeling, Modeling, Data modeling, Optical properties, Diffraction

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Proceedings Article | 3 May 2017 Presentation

Digital micromirror device based adaptive optics approach for enhanced micro-machining fidelity (Conference Presentation)

Daniel Heath, Ben Mills, James Grant-Jacob, Matthias Feinaeugle, Vitali Goriainov, Richard Oreffo, Robert Eason

Proceedings Volume 10117, 1011706 (2017) https://doi.org/10.1117/12.2250797

KEYWORDS: Digital micromirror devices, Point spread functions, Diffraction, Adaptive optics, Micromachining, Holograms, Real time imaging, Tomography, Reconstruction algorithms, Beam propagation method

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