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Related Concept Videos

Frequency-dependent Selection01:21

Frequency-dependent Selection

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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.
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What is a Frequency Distribution00:51

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A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
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Sometimes, data gathered from an experiment on a large sample or population are organized into concise tables. In such cases, the frequency of the quantitative data set is plotted in the form of a table. Or else, the data values are grouped into the quantity’s intervals, which form classes, and their respective frequencies are known. That is, the data values are distributed over different categories or classes. This is known as frequency distribution.
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The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
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The frequency response of a Bipolar Junction Transistor (BJT) in a common-emitter configuration is critical to its functionality, especially in applications involving amplification of alternating current (AC) signals. This response can be analyzed through low-frequency and high-frequency equivalent circuits, considering various internal parameters and external conditions.
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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Related Experiment Video

Updated: Feb 2, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

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Optical frequency combs from high-order sideband generation.

Darren C Valovcin, Hunter B Banks, Shawn Mack

    Optics Express
    |November 25, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Researchers generated broad frequency combs using high-order sideband generation (HSG) in quantum wells. This new method produced combs spanning over 80 THz, demonstrating potential for THz source characterization.

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    Area of Science:

    • Solid State Physics
    • Quantum Optics
    • Semiconductor Physics

    Background:

    • High-order sideband generation (HSG) is a recently discovered phenomenon.
    • Quantum wells are semiconductor structures with unique electronic properties.

    Purpose of the Study:

    • To demonstrate frequency comb generation using HSG.
    • To characterize the generated frequency combs and explore their properties.
    • To showcase potential applications of HSG-generated combs.

    Main Methods:

    • A continuous-wave (cw) laser was transmitted through GaAs/AlGaAs quantum wells.
    • The quantum wells were driven by quasi-cw in-plane electric fields oscillating at THz frequencies.
    • Frequency combs were generated via the HSG phenomenon.

    Main Results:

    • Frequency combs with teeth at f_sideband = f_NIR + n*f_THz (n even) were produced.
    • Maximum order n > 120 was achieved, resulting in comb spans exceeding 80 THz.
    • Comb spectra showed similar spans and shapes for identical products of THz frequency and electric field strength (f_THz * F_THz).

    Conclusions:

    • HSG is a viable method for generating broad optical frequency combs.
    • The characteristics of HSG combs are consistent with electron-hole recollision models.
    • HSG combs can be utilized for precise measurement of THz source frequency and linewidth.