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Optical autocorrelators are typically employed to retrieve the temporal information of bound-state lasers; however, they suffer from limitations when multiple sub-pulses coexist with varying intensities and pulse widths. To this end, this study investigates the impact of differences in pulse temporal intensity and width between two unequal pulses in a bound-state laser on the corresponding autocorrelation trace. Maps of autocorrelation trace in terms of the temporal profile of unequal pulse bound state are created to evaluate their internal relationship. Specifically, the autocorrelation peak intensity ratio exhibits an approximatively Gamma cumulative distribution function relationship with respect to either individual variation in the temporal intensity or width ratio. Additionally, we examine the impact of oscillating tail intensity on the autocorrelation trace. These results reveal that variations in pulse temporal characteristics complicates the retrieval of accurate temporal information. To address this, we provide a checklist based on careful examination of the autocorrelation trace to retrieve the temporal profile of bound states with unequal pulses. This work provides guidance for approximately retrieving the temporal information of a bound-state laser with variations in sub-pulse shapes from the autocorrelation trace and underscores the necessity for more sophisticated analytical methods to disentangle the complexities arising from non-uniform pulse parameters.
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http://dx.doi.org/10.1364/OE.548032 | DOI Listing |
Water Res
August 2025
Orange County Water District, 18700 Ward St, Fountain Valley, CA 92708, USA.
N-nitrosodimethylamine (NDMA) is a carcinogen of significant concern in potable water treatment but real-time monitoring of NDMA is not yet feasible with current analytical techniques or mechanistic models. Measuring NDMA and its precursors is time- and labor-intensive which often results in conservative, energy-intensive NDMA treatment approaches, such as operating UV at the maximum dose, to remove NDMA under all possible conditions. To reduce the energy required for NDMA treatment, data-driven modeling was used to simulate an NDMA soft sensor for real-time UV dose control.
View Article and Find Full Text PDFIn order to meet the urgent needs of target image data in the testing of close-range space target situational awareness algorithm, this study develops a method for generating high-fidelity space target simulations by integrating refined wrinkled surface modeling with physics-based optical characterization. The proposed method combines fractal theory and multi-scale superposition principles to model satellite surface topography, integrating both macro-scale bulge-stripe patterns and micro-scale wrinkled textures. By analyzing autocorrelation characteristics of wrinkled structures, a mathematical model was established and subsequently optimized using material-specific particle swarm algorithms.
View Article and Find Full Text PDFEnviron Sci Technol
August 2025
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu 210023, People's Republic of China.
Emerging contaminants (ECs) in coastal urban rivers threaten marine ecosystems, yet existing prioritization strategies focus on the physicochemical properties of ECs, neglecting the contribution of environmental conditions (e.g., pollution sources and hydrological dynamics) to the transport behavior of ECs.
View Article and Find Full Text PDFPLoS One
May 2025
Hubei Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, Wuhan, Hubei, China.
Smallpox is a highly contagious and ancient disease influenced by natural and social factors. These factors led to the wide spread of smallpox in Hubei Province of China during the historical period. We conducted the spatial and temporal distribution patterns of smallpox epidemics and their formation mechanism in Hubei Province of China during 1488-1949.
View Article and Find Full Text PDFPhys Rev E
February 2025
University of Osnabrück, Department of Mathematics/Computer Science/Physics, D-49076 Osnabrück, Germany.
Through an explicit construction, we assign to any infinite temperature autocorrelation function C(t) a set of functions α^{n}(t). The construction of α^{n}(t) from C(t) requires the first 2n temporal derivatives of C(t) at times 0 and t. Our focus is on α^{n}(t) that (almost) monotonously decrease; we call these "arrows of time functions" (AOTFs).
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