Skip to content

Mira variable

A late-stage asymptotic-giant-branch pulsating star with a long period, very red color, and large optical amplitude, whose radial expansion, temperature change, mass loss, chemistry, and dust shape its recurrent brightness cycle.

Version
v1 · 2026-09-28 · History
Domain-specific #
10737
Domain group
Natural Sciences
Origin domain
Astronomy & Astrophysics
Subdomains
Stellar Astrophysics, Variable Stars → Astronomy & Astrophysics

Core Idea

A Mira variable is a late-stage asymptotic-giant-branch pulsator with a long period, very red color, and large wavelength-dependent amplitude produced by envelope expansion, temperature and molecular-opacity change, mass loss, chemistry, and dust. The star's envelope expands and contracts, changing radius and temperature. The star's envelope expands and contracts, changing radius and temperature.

Scope of Application

Mira variables are used in variable-star classification, AGB evolution, pulsation theory, period–luminosity distance work, mass-loss and dust studies, stellar atmospheres, masers, interferometry, chemical enrichment, and long-term amateur/professional monitoring. Use it with star identifier and catalog definition, evolutionary/spectral evidence, passbands and magnitude system, cadence and baseline, period/amplitude and uncertainties or changes, extinction and bolometric correction, radius/temperature phase, oxygen/carbon chemistry, mass loss, dust, masers, asymmetry/binarity, parallax/distance, period–luminosity mode and calibration population, metallicity, rejected alternate classes and outliers, and explicit distinction between visual flux redistribution, bolometric luminosity, secular thermal-pulse change, and cycle-to-cycle variation.

  • Classification. Uses period, amplitude, color, spectrum.
  • Distance scale. Applies calibrated period–luminosity relations.
  • Mass loss. Tracks winds and dust.
  • Pulsation. Models radius/temperature cycles.
  • Evolution. Detects dredge-up and thermal pulses.

Clarity

Report star identifier and coordinates, catalog/class criterion, passband and magnitude system, cadence/baseline, period and uncertainty/change, amplitude and sampling, extinction, spectrum and AGB evidence, oxygen/carbon chemistry, distance/parallax, bolometric correction, radius/temperature phase, mass-loss/dust/maser evidence, asymmetry/binarity, period–luminosity calibration/population, and classification alternatives. The closest near miss sets the boundary: Semiregular AGB variables are the closest boundary class; their amplitudes/regularity differ and thresholds depend on catalog/band.

Manages Complexity

One light curve combines pulsation, molecular opacity, wavelength response, dust, geometry, convection, mass loss, and evolution. Periodic fitting can conceal secular change and sampling aliases. The central large visual amplitude–modest bolometric change tradeoff is this: Optical magnitude swings dramatically while energy shifts wavelength. A second periodic classification–stellar evolution tension matters because Repeating cycles aid classification while thermal pulses change period.

Abstract Reasoning

Use three linked moves: establish AGB evolutionary and spectral context; measure multi-band period and amplitude over adequate cycles; separate pulsation from eclipsing, obscuration, and aliases. As a collapse test, the case exits when large brightness change is caused primarily by eclipse/obscuration or when period/amplitude evidence is inadequate. A fourth check is to model wavelength-dependent radius, temperature, chemistry, and dust. A final check is to apply period–luminosity/evolution inference only within calibrated populations and uncertainty.

Knowledge Transfer

Periodic-signal methods transfer to other variables, but Mira thresholds, AGB physics, molecular opacity, dust, and calibration populations do not. A generic sinusoid is not a Mira model. No canonical parent prime is currently asserted; broader structural comparisons remain related-prime analogies until separately adjudicated in the DAG. Prospective portable skeleton. Repetition contributes but does not define the stellar class alone.

Relationships to Other Abstractions

Local relationship map for Mira variableParents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.Mira variableDOMAINPrime abstraction: Oscillation — is a kind ofOscillationPRIME

Current abstraction Mira variable Domain-specific

Parents (1) — more general patterns this builds on

  • Mira variable is a kind of Oscillation Prime

    A Mira variable is defined by its long-period brightness pulsation, which is repeated variation over time.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Mira variable sits in a moderately populated region (55th percentile for distinctiveness): it has near-neighbors but no dense thicket of look-alikes.

Family — Domain-Specific Measurement Parameters (36 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-10-08