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What is Natural Selection?

What is Natural Selection?

Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.

Antibiotic Selection

Antibiotic Selection

Types of Selection

Types of Selection

Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...

Frequency-dependent Selection

Frequency-dependent Selection

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.

Limits to Natural Selection

Limits to Natural Selection

Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.

Natural Selection and Adaptation

Natural Selection and Adaptation

Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...

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Related Experiment Video

Updated: Jan 27, 2026

High-Speed Atomic Force Microscopy Imaging of DNA Three-Point-Star Motif Self Assembly Using Photothermal Off-Resonance Tapping

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Guide Star Selection for the Three-FOV Daytime Star Sensor.

Liang Wu¹, Qian Xu², Haojing Wang³

¹Department of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China. wuliang@ccut.edu.cn.

Sensors (Basel, Switzerland)

|April 3, 2019

Summary

This summary is machine-generated.

A new method, the improved spherical spiral method (ISSM), effectively reduces the size of guide star catalogs for three-field-of-view (three-FOV) star sensors. This enhances star sensor performance for all-day carrier platforms.

Keywords:

SWIR daytime guide star selection star sensor three-FOV

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Area of Science:

Optics and Photonics
Aerospace Engineering
Computer Science

Background:

Star sensors are crucial for all-day carrier platforms, but large star identification databases pose challenges.
Short-wave infrared (SWIR) band three-field-of-view (three-FOV) star sensors require efficient guide star selection methods.

Purpose of the Study:

To develop a method for thinning guide star catalogs for three-FOV daytime star sensors.
To improve the detection capabilities of star sensors by optimizing guide star selection.

Main Methods:

Introduced a three-FOV star sensor model and triangular star identification requirements.
Proposed two constraints for guide star selection: number and brightness within the field of view (FOV).
Developed the improved spherical spiral method (ISSM) and discussed its optimal reference points.

Main Results:

Generated guide star catalogs using ISSM, Magnitude Filter Method (MFM), 1st order Self-Organizing Path Planning (1st-SOPM), and Spherical Spiral Method (SSM).
ISSM produced the smallest catalog size compared to MFM, 1st-SOPM, and SSM.
Guide stars selected by ISSM exhibited superior number and brightness characteristics.

Conclusions:

The improved spherical spiral method (ISSM) is effective for guide star selection in three-FOV daytime star sensors.
ISSM offers a more efficient approach to managing star identification databases for enhanced star sensor applications.
This research contributes to the advancement of autonomous navigation systems for aerospace platforms.