9 research outputs found
Predictability of Extreme Intensity Pulses in Optically Injected Semiconductor Lasers
The predictability of extreme intensity pulses emitted by an optically
injected semiconductor laser is studied numerically, by using a well-known rate
equation model. We show that symbolic ordinal time-series analysis allows to
identify the patterns of intensity oscillations that are likely to occur before
an extreme pulse. The method also gives information about patterns which are
unlikely to occur before an extreme pulse. The specific patterns identified
capture the topology of the underlying chaotic attractor and depend on the
model parameters. The methodology proposed here can be useful for analyzing
data recorded from other complex systems that generate extreme fluctuations in
their output signals
Multiphoton microscopy and ultrafast spectroscopy: Imaging meets quantum (MUSIQ) roadmap
In April 2019 the EU Marie Skłodowska-Curie Actions (MSCA) Innovative Training
Networks (ITN) MUSIQ officially started. The network brought together a unique
team of world-leading academics and industrial partners at the forefront of optical
micro-spectroscopy and ultrafast laser technology developments merged with
fundamental studies of coherent light-matter interaction phenomena, development
of quantitative image analysis tools beyond state-of-the-art, and
biomedical/pharmaceutical real-world applications. The unique vision of MUSIQ has
been to develop and apply the next-generation optical microscopy technologies
exploiting quantum coherent nonlinear phenomena. This Roadmap has been written
collectively by the MUSIQ early-stage researchers and their supervisors. It provides a
summary of the achievements within MUSIQ to date, with an outlook towards future
directions
Predictability of extreme intensity pulses in optically injected semiconductor lasers
This is a copy of the author 's final draft version of an article published in the journal European physical journal. Special topics.The predictability of extreme intensity pulses emitted by an optically injected semiconductor laser is studied numerically, by using a well-known rate equation model. We show that symbolic ordinal time-series analysis allows to identify the patterns of intensity oscillations that are likely to occur before an extreme pulse. The method also gives information about patterns which are unlikely to occur before an extreme pulse. The specific patterns identified capture the topology of the underlying chaotic attractor and depend on the model parameters. The methodology proposed here can be useful for analyzing data recorded from other complex systems that generate extreme fluctuations in their output signals.Peer Reviewe
Predictability of extreme intensity pulses in optically injected semiconductor lasers
This is a copy of the author 's final draft version of an article published in the journal European physical journal. Special topics.The predictability of extreme intensity pulses emitted by an optically injected semiconductor laser is studied numerically, by using a well-known rate equation model. We show that symbolic ordinal time-series analysis allows to identify the patterns of intensity oscillations that are likely to occur before an extreme pulse. The method also gives information about patterns which are unlikely to occur before an extreme pulse. The specific patterns identified capture the topology of the underlying chaotic attractor and depend on the model parameters. The methodology proposed here can be useful for analyzing data recorded from other complex systems that generate extreme fluctuations in their output signals.Peer Reviewe
Effect of graded InGaN drain region and ’In’ fraction in InGaN channel on performances of InGaN tunnel field-effect transistor
Detection of Biomolecules Using Charge-Plasma Based Gate Underlap Dielectric Modulated Dopingless TFET
Roadmap on bio-nano-photonics
International audienceIn the quest to decipher the chain of life from molecules to cells, the biological and biophysical questions being asked increasingly demand techniques that are capable of identifying specific biomolecules in their native environment, and can measure biomolecular interactions quantitatively, at the smallest possible scale in space and time, without perturbing the system under observation. The interaction of light with biomolecules offers a wealth of phenomena and tools that can be exploited to drive this progress. This Roadmap is written collectively by prominent researchers and encompasses selected aspects of bio-nano-photonics, spanning from the development of optical micro/nano-spectroscopy technologies for quantitative bioimaging and biosensing to the fundamental understanding of light–matter interaction phenomena with biomolecules at the nanoscale. It will be of interest to a wide cross-disciplinary audience in the physical sciences and life sciences