The investigation of the dynamic of physical or biological processes at the femtosecond and sub-femtosecond time scales enables a deeper understanding of these phenomena and sets strong requirements for laser development, be it the generation of ultrashort hard x-rays pulses, or attosecond soft-X-ray to near-infrared pulses. Several facilities and table-top systems have been built or are being developed in response to this quest.
A widely used approach for dynamically resolved experiments is the pump-probe technique. The precise, accurate, and stable control of the delay between the pump and the probe pulses is key to high experimental resolution.
Many groups are working on the topic of synchronization. Table-top attosecond systems benefit greatly from a sub-fs synchronization, for example, attosecond streaking, whereas large-scale facilities requiring femtosecond scale arrival time stability develop schemes to improve the time arrival stability throughout the entire facility.
The goal of this article collection is to present the newest achievements in optical and RF synchronization and distribution methods, and the recent use of machine learning technology to improve the performance of timing systems. The focal points revolve around hardware, diagnostic, and software systems, delving into the intricate workings of synchronization systems. This encompasses a comprehensive exploration of the design, development, and optimization of instrumentation components and circuits that contribute to synchronization; also novel approaches for control and data analysis, e.g., using machine learning. The analysis of synchronization data can give insights into parameters influencing the arrival time stability, like environmental variations or ground movements. It can be also used for fault diagnosis, i.e., detection of malfunctioning of the synchronization, up to predictive maintenance.
This research topic is focused on the synchronization systems pushing time resolution to sub-fs to a few-fs, at a small or large scale facility. Examples of themes to be addressed here are:
– Optical synchronization and distribution system for large-scale facilities
– Synchronization of table-top attosecond systems
– RF synchronization systems
– Overall stability of large-scale facilities
– Data analysis and algorithm
– Controls systems
– Controls methods optimization
– Machine learning methods for improved overall stability
Keywords:
Data analysis, Synchronization of large facilities, Optical synchronization, RF Synchronization, Arrival time stability of large facilities, Control
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The investigation of the dynamic of physical or biological processes at the femtosecond and sub-femtosecond time scales enables a deeper understanding of these phenomena and sets strong requirements for laser development, be it the generation of ultrashort hard x-rays pulses, or attosecond soft-X-ray to near-infrared pulses. Several facilities and table-top systems have been built or are being developed in response to this quest.
A widely used approach for dynamically resolved experiments is the pump-probe technique. The precise, accurate, and stable control of the delay between the pump and the probe pulses is key to high experimental resolution.
Many groups are working on the topic of synchronization. Table-top attosecond systems benefit greatly from a sub-fs synchronization, for example, attosecond streaking, whereas large-scale facilities requiring femtosecond scale arrival time stability develop schemes to improve the time arrival stability throughout the entire facility.
The goal of this article collection is to present the newest achievements in optical and RF synchronization and distribution methods, and the recent use of machine learning technology to improve the performance of timing systems. The focal points revolve around hardware, diagnostic, and software systems, delving into the intricate workings of synchronization systems. This encompasses a comprehensive exploration of the design, development, and optimization of instrumentation components and circuits that contribute to synchronization; also novel approaches for control and data analysis, e.g., using machine learning. The analysis of synchronization data can give insights into parameters influencing the arrival time stability, like environmental variations or ground movements. It can be also used for fault diagnosis, i.e., detection of malfunctioning of the synchronization, up to predictive maintenance.
This research topic is focused on the synchronization systems pushing time resolution to sub-fs to a few-fs, at a small or large scale facility. Examples of themes to be addressed here are:
– Optical synchronization and distribution system for large-scale facilities
– Synchronization of table-top attosecond systems
– RF synchronization systems
– Overall stability of large-scale facilities
– Data analysis and algorithm
– Controls systems
– Controls methods optimization
– Machine learning methods for improved overall stability
Keywords:
Data analysis, Synchronization of large facilities, Optical synchronization, RF Synchronization, Arrival time stability of large facilities, Control
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.