Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Döpp, Andreas"'
Publikováno v:
BMVC 2023
Optical imaging systems are inherently limited in their resolution due to the point spread function (PSF), which applies a static, yet spatially-varying, convolution to the image. This degradation can be addressed via Convolutional Neural Networks (C
Externí odkaz:
http://arxiv.org/abs/2401.04680
Autor:
Feister, Scott, Cassou, Kevin, Dann, Stephen, Döpp, Andreas, Gauron, Philippe, Gonsalves, Anthony J., Joglekar, Archis, Marshall, Victoria, Neveu, Olivier, Schlenvoigt, Hans-Peter, Streeter, Matthew J. V., Palmer, Charlotte A. J.
The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than was possible using the prior generation. Facilities requiring human intervention between laser repetitions need to adapt in order
Externí odkaz:
http://arxiv.org/abs/2306.01661
All-optical Compton sources combine laser wakefield accelerators and intense scattering pulses to generate ultrashort bursts of backscattered radiation. The scattering pulse plays the role of a short-period undulator in which relativistic electrons o
Externí odkaz:
http://arxiv.org/abs/2305.14920
Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot. A deep unrolling algorithm is utilised for the snapshot
Externí odkaz:
http://arxiv.org/abs/2303.03555
Autor:
Döpp, Andreas, Eberle, Christoph, Howard, Sunny, Irshad, Faran, Lin, Jinpu, Streeter, Matthew
Publikováno v:
High Power Laser Science and Engineering (2023)
Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and numerical research in this field was restricted to single-shot experime
Externí odkaz:
http://arxiv.org/abs/2212.00026
Beam parameter optimization in accelerators involves multiple, sometimes competing objectives. Condensing these individual objectives into a single figure of merit unavoidably results in a bias towards particular outcomes, in absence of prior knowled
Externí odkaz:
http://arxiv.org/abs/2210.03484
The recent advent of deep artificial neural networks has resulted in a dramatic increase in performance for object classification and detection. While pre-trained with everyday objects, we find that a state-of-the-art object detection architecture ca
Externí odkaz:
http://arxiv.org/abs/2210.02539
Publikováno v:
IOP Machine Learning: Science and Technology (2024)
In the pursuit of efficient optimization of expensive-to-evaluate systems, this paper investigates a novel approach to Bayesian multi-objective and multi-fidelity (MOMF) optimization. Traditional optimization methods, while effective, often encounter
Externí odkaz:
http://arxiv.org/abs/2112.13901
Autor:
Schindler, Sabine, Döpp, Andreas, Ding, Hao, Gilljohann, Max, Goetzfried, Johannes, Karsch, Stefan
Publikováno v:
Proc. SPIE 11037, Laser Acceleration of Electrons, Protons, and Ions V, 110370N (24 April 2019)
We report results on all-optical Thomson scattering intercepting the acceleration process in a laser wakefield accelerator. We show that the pulse collision position can be detected using transverse shadowgraphy which also facilitates alignment. As t
Externí odkaz:
http://arxiv.org/abs/1905.07029
Akademický článek
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