math

Gaussian distribution

A probability distribution characterized by a bell-shaped curve, often used to model random fluctuations.
23 related articles

Description

The Gaussian distribution, also known as the normal distribution, is a probability distribution that describes how values cluster around a central mean. Its graph is the familiar symmetric bell-shaped curve, with most observations near the average and progressively fewer in the tails. It is the default model for random fluctuations in countless natural and social phenomena, from measurement errors to biological variations.

History

Introduced by Carl Friedrich Gauss in 1809 in his work on celestial mechanics and least squares, though earlier uses by Abraham de Moivre and Pierre-Simon Laplace are known.

How it works

The distribution is defined by two parameters: the mean (the peak's location) and the standard deviation (the curve's width). The probability density function is a specific exponential formula that ensures the area under the curve equals 1. Because of the central limit theorem, the sum of many independent random variables tends toward a Gaussian, even if the individual variables are not Gaussian themselves.

In practice

Used in virtually every field of science and engineering for error analysis, hypothesis testing, and signal processing; in physics, it describes thermal noise and the distribution of particle velocities in a gas.

Fun fact

The Gaussian distribution is sometimes called the 'normal' distribution, but it is anything but typical in nature — many real-world distributions have heavier tails than a Gaussian.

Related articles · 23

nlin.PS2026-09-032 minarXiv:2609.03259
A Gaussian Packet on Water: Three Fates of One Wave
A wave packet is like a traveler who either loses steam and spreads out along the way, holds a steady pace, or gathers into a fist. In a 50-meter flume with water 5 meters deep, scientists tracked how a bell-shaped group of waves behaves when its height is changed but not its width.
Statistical Mech2026-07-301 minarXiv:2607.28172express
Avalanche of Cells: The Critical Edge
On a steep mountain slope, a single falling rock sometimes triggers an avalanche, and sometimes gets stuck. It all depends on the state of the slope.
Cosmology2026-07-163 minarXiv:2607.14525
Reading the Cosmic Palimpsest: Redshift Tomography of Unresolved Galaxies
The optical sky background is a cosmic palimpsest, where light from billions of unresolved galaxies is layered, each layer corresponding to a different epoch. Until now we could only distinguish the brightest "letters"—individual stars and nearby galaxies.
Machine Learning2026-07-152 minarXiv:2607.13436express
An Imitation Algorithm with 'Black Holes' of Repulsion Dodges Zones of Uncertainty
When an unmanned aerial vehicle learns from an experienced pilot, it memorizes not individual maneuvers but entire safe corridors — the trajectories along which the human mentor moved. This approach is called imitation learning: the machine mimics expert demonstrations.
eess.SY2026-07-151 minarXiv:2607.14291express
The Secret of Quick Recovery: A New Method for Assessing Stability
A stable system behaves like a ball in a bowl: give it a push, and it rolls back to the bottom. The spread of possible trajectories, uncertainty, shrinks over time. But the speed depends on the slope of the bowl's walls. In complex systems, this 'bowl' has sections of varying steepness.
Cosmic Earthquakes: Algorithm Reveals the Rhythm of Gamma-Ray Bursts
In the depths of the Universe, when a massive star collapses into a black hole or a magnetar is born, a gamma-ray burst flares up — for an instant, it outshines all the stars in the observable Universe.
Strongly Correlated2026-07-071 minarXiv:2607.06279express
How Particle Knots Rewrite the Rules of Statistics
Two threads hang in space. One is looped around the other — physicists call this braiding. For a long time, it was thought that the rules of this dance were rigidly set by the number of dimensions. But the authors of the work found a new maneuver: a special kind of braiding that works in one dimension less than usual.
math.PR2026-06-303 minarXiv:2607.00149
Graviton Fog: How Quanta Blur Light Cones
The light cone is a blueprint of causality, laser-cut onto the fabric of the universe. In classical physics, it is as sharp as a scalpel: events inside are linked by invisible threads of influence, while outside lies eternal isolation, sealed by the ultimate speed limit.
High Energy2026-05-212 minarXiv:2605.23083express
Why Black Holes in a Pair Look So Alike
In space, merging black hole pairs are common, and often one is noticeably more massive than the other. This mass difference isn't just a number: it's a key to their shared history. Astrophysicists studied the stable mass transfer channel — a process where matter flows smoothly from one star to another without disrupting the system.
Statistical Mech2026-05-162 minarXiv:2605.16987express
How Connectivity Percolates Through Dimensions
A handful of matches falls on the table. Each lies however it lands, but in our minds we turn each into an arrow — from one end to the other. Now ask: can you get from one point to another by moving only in the direction of the arrows? A group of points where you can reach any one from any other is called a strongly connected cluster.
General Relativity2026-05-151 minarXiv:2605.16150express
How the Universe is Born from Nothing
Quantum nothingness resembles water in a pot just before boiling. From time to time, a bubble spontaneously swells up — but not of steam, but of an entire universe. Such a bubble doesn't collapse; instead, it inflates into spacetime, triggering its own Big Bang. The only question is how often this happens.
Quantum Physics2026-05-012 minarXiv:2605.00981express
Quantum Triangle with No Buttons
Three people sit in three corners of a room. Each receives a sealed envelope from an invisible courier, but the couriers do not coordinate and have never met. The people open the envelopes and see a note with one word: "yes" or "no." They choose nothing themselves: they just read.
HEP Theory2026-04-282 minarXiv:2604.26045express
The Universe as a Size Lottery
A handful of sand lands on the table. The grains settle in different ways, but if the handful is large, the total volume barely changes. That's roughly how classical gravity works: space appears smooth and definite. But look closely at the individual grains, and you'll find that at the quantum level, volume itself is no longer fixed.
Image Processing2026-04-261 minarXiv:2604.23675express
Optical Tomography Gets Simpler and More Accurate
Light passing through a turbid medium like milk or living tissue scatters in all directions. Reconstructing where light was absorbed more strongly is like guessing the shape of a fallen object from a puddle on the asphalt. Optical tomography solves this problem, but usually requires large computational resources.
Cosmology2026-04-162 minarXiv:2604.15313express
Ripples of Space Through Invisible Lenses
A pebble drops into a pond, and neat circles spread across the water. But the pond's bottom is strewn with invisible glass shards: each one slightly delays the wave, scatters it here, or alters its pace. That's roughly how gravitational waves, the trembling of space itself, pass through distant galaxies and dark clumps of matter.
Cosmology2026-04-151 minarXiv:2604.13712express
Gamma-Ray Bursts Found a Cosmic Wall
The night sky looks as smooth as the surface of a calm lake. But if you look at gamma-ray bursts (brief, blinding explosions visible across the entire universe) you'll find ripples in that smoothness. Scientists took a catalog of such bursts and divided the sky into two hemispheres. In the southern one, they found a tiny group: 4–5 bursts huddled together.
Quantum Physics2026-04-132 minarXiv:2604.11968express
The Secret Link Between Past and Future in the Quantum World: A Model with Backward Time
A typical recipe explains how to cook a dish: step by step, from the initial ingredients to the finished result. The new approach flips the logic: imagine that the future pie itself dictates how much flour to add now. In the quantum world, researchers suggest, a particle receives signals from the future measurement outcome.
Galaxies2026-04-121 minarXiv:2604.10811express
The Bullet That Didn't Break the Theory
Two galaxy clusters collided like two swarms of bees flying through each other. One of them is the famous "Bullet." After the collision, the hot gas, which makes up most of the ordinary matter, slowed down and stayed in the center, while the galaxies, like small dense pebbles, flew on.
Statistical Mech2026-03-141 minarXiv:2603.13918express
Pores in the Membrane: Three Keys to Accurate Calculation
A cell is a city with gates. Each gate is a protein channel in the membrane: through it, ions, sugars, and signaling molecules pass in and out. Some gates are almost always open, while others open and close randomly, like subway doors that let a passenger through one moment and slam shut in their face the next.
q-bio.PE2026-02-082 minarXiv:2602.08101express
A Virus Hits Like a Punch: Why Outbreaks Don't Follow the Average
An epidemic is not a steady stream but a series of hits. One carrier may infect no one, while another infects fifty people at once. Such rare but powerful events are called 'dragon kings': they stand out from the overall pattern and determine how severe a disease wave will be. In the new study, the virus is compared to a billiard ball.
math.NA2025-03-312 minarXiv:2503.24234
A Lens That Sees the Skew: Nonlinear Climate Models
Glasses with flat lenses show a symmetric world: rise and fall, heat and cold look the same. For decades, climatologists have viewed El Niño through such glasses, using linear inverse models. These captured the rhythm of oscillations but missed that the warm phase of El Niño is typically sharper and stronger than the cold La Niña.
stat.ME2019-04-052 minarXiv:1904.02855
How to Make Your Model Pay for Its Mistakes
A translator who jumps at every rustle in the hall starts mixing up words by the end of the meeting. Their confidence in being right grows, while their accuracy drops. That is roughly how poorly calibrated probabilistic forecasts behave: the model claims a high probability for an event, but reality disagrees.