使用微共振器单子频率的超快光学测距
概括
集成的化微振荡器可以实现紧,高性能的光学频率测距系统. 这项技术可以为自动驾驶和工业传感等应用提供超快距离测量.
科学领域:
- 光子学和光学工程
- 集成光学
- 测量学
背景情况:
- 光探测和距离测定 (LiDAR) 在科学和工业中至关重要.
- 光学频率可以提高光学距离的速度和准确性.
- 在工业传感,无人机导航和自动驾驶中对紧距离系统的需求日益增长.
研究的目的:
- 通过使用集成的单离子Kerr进行芯片尺度测距系统的演示.
- 通过紧的设备实现高性能距离测量.
主要方法:
- 在集成化微振热器中产生Soliton Kerr.
- 双距离测量
- 高速采集率测量
主要成果:
- 在13微秒的平均时间下,证明了双距离测量与艾伦偏差低至12纳米.
- 实现100兆赫的超快速获取速度.
- 能够在飞行中以每秒150米的速度取样弹.
结论:
- 集成的单离子克尔提供了高性能芯片尺度测距的可行途径.
- 将这些系统与纳米光子相控阵列相结合, 可以为大规模应用带来紧,超快的范围.
相关概念视频
Range
14.4K
The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
14.4K
Variation: Normal Distribution, Range, and Standard Deviation
28.7K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
28.7K
Frequency-dependent Selection
24.2K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
24.2K
¹H NMR: Long-Range Coupling
2.7K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
2.7K
Angle of Twist - Elastic Range
843
Consider a cylindrical shaft with a length denoted by L and a consistent cross-sectional radius referred to as r. This shaft undergoes a torque at the free end. The highest shearing strain within the shaft is directly proportional to the twist angle and the radial distance from the shaft axis. When the shaft behaves elastically, this shearing strain can be articulated using variables such as the applied torque, radial distance, the polar moment of inertia, and the modulus of rigidity. By...
843
Range Rule of Thumb to Interpret Standard Deviation
13.7K
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
13.7K


