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Redshift
Redshift
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Redshift is the phenomenon wherein the of emitted by an is observed to increase, shifting the toward the longer- (redder) end of the when received by an observer. This effect is quantified by the redshift parameter z=λobservedλrestλrestz = \frac{\lambda_\mathrm{observed} - \lambda_\mathrm{rest}}{\lambda_\mathrm{rest}}. It arises from three primary mechanisms: Doppler redshift, caused by the relative motion of the source away from the observer; , resulting from the influence of a strong on ; and cosmological redshift, due to the expansion of itself stretching the light's as it travels across the universe. The Doppler redshift, the most familiar type, follows from the classical Doppler effect extended to relativistic speeds, where the recession of the emitting object elongates the wavefronts of light, increasing their wavelength proportionally to the velocity of separation. In astrophysics, this is commonly observed in binary star systems, galactic rotation curves, and the peculiar velocities of nearby galaxies, allowing astronomers to infer motions on scales up to thousands of kilometers per second. Unlike the other types, Doppler redshift can produce a blueshift (wavelength decrease) if the object approaches the observer, as seen in some local galaxies like Andromeda. Gravitational redshift, a prediction of Albert Einstein's general theory of relativity published in 1915, occurs when light escapes from a region of intense gravity, such as near a or , losing energy and thus lengthening its due to the warping of . This effect was first experimentally verified in the Pound-Rebka experiment conducted at in 1959–1960, where researchers measured a fractional shift of approximately 2.5 × 10^{-15} in gamma rays transmitted upward through a 22.5-meter tower against Earth's , confirming the prediction to within 10% accuracy. In stellar contexts, gravitational redshift provides insights into the mass-radius relations of compact objects like white dwarfs and pulsars. Cosmological redshift dominates observations of distant galaxies and quasars, reflecting the uniform expansion of the universe rather than peculiar motions or local gravity. In 1929, Edwin Hubble analyzed spectra from the and established that the redshift zz of galaxies is directly proportional to their distance dd, formalized as : v=H0dv = H_0 d, where v=czv = c z is the recession velocity (for small zz) and H0H_0 is the Hubble constant, estimated at approximately 70 km/s/Mpc (as of 2025, though values range from 67–74 km/s/Mpc due to measurement tensions). This discovery provided key evidence for the model, enabling distance measurements to objects billions of light-years away and revealing the universe's accelerating expansion driven by . Redshift surveys, such as those from the , continue to map cosmic structure and evolution.

Definition and Fundamentals

Conceptual Overview

Redshift refers to the increase in the observed of emitted by a source, causing features to shift toward longer wavelengths, which correspond to the end of the . This phenomenon is quantified by the dimensionless parameter z=λobservedλemittedλemittedz = \frac{\lambda_\text{observed} - \lambda_\text{emitted}}{\lambda_\text{emitted}}, where λobserved\lambda_\text{observed} is the measured and λemitted\lambda_\text{emitted} is the at emission; values of z>0z > 0 indicate a wavelength elongation, typically signifying of the source relative to the observer. Intuitively, redshift can be visualized as the stretching of waves, akin to marks on a being pulled apart: as expands between the emitter and observer, the wavelengths lengthen proportionally, transforming shorter (bluer) into longer (redder) . For example, prominent spectral lines like those in the hydrogen Balmer series—such as the Hα line at 656 nm (red) or Hβ at 486 nm () in the —appear displaced to even longer wavelengths in distant objects, moving progressively toward the as zz increases. Although redshift often manifests as an apparent reddening of an object's overall color, it is distinctly a precise relocation of discrete spectral lines, detectable and quantifiable only through detailed spectroscopic analysis rather than simple visual or photometric observation. The first recorded detection of redshift occurred in when Vesto Slipher measured the of the (NGC 4594), revealing a substantial line shift equivalent to a recession velocity of approximately 1100 km/s. This shift arises from mechanisms such as the due to relative motion or cosmological expansion, though the underlying causes are explored in greater detail elsewhere.

Measurement and Quantification

Spectroscopic methods provide the most precise measurements of redshift by directly resolving spectral lines shifted from their rest-frame wavelengths. These techniques typically employ diffraction gratings or Fabry-Pérot interferometers to disperse and analyze light from astronomical sources. Diffraction gratings, often volume-phase holographic (VPH) types, are optimized for high spectral resolution (R = λ/Δλ typically 3000–5000) and throughput up to 90%, enabling the separation of closely spaced emission or absorption lines essential for accurate redshift determination. For instance, VPH gratings in integral-field spectrographs couple spatial and spectral information via fibers, lenslets, or slicers, facilitating redshift surveys of galaxies by measuring line shifts with minimal loss in signal-to-noise ratio (S/N). Fabry-Pérot interferometers, alternatively, achieve ultra-high resolution (R up to 10^5) through interference patterns formed by multiple etalons, ideal for detecting narrow lines in high-redshift objects or resolving velocity dispersions that contribute to redshift precision. These instruments excel in low-to-moderate redshift regimes but require high S/N to avoid blending of lines. Photometric redshift estimation offers a complementary approach for faint or numerous objects where spectroscopy is impractical, relying on broadband photometry rather than resolved spectra. This method involves template fitting, where observed colors in multiple filters are matched to synthetic spectral energy distribution (SED) templates of galaxies or quasars, inferring redshift from the best-fit shift. Template fitting is physically motivated and can provide full probability distributions but is sensitive to incomplete template libraries and degeneracies between redshift and intrinsic properties like dust extinction. Machine learning techniques, such as neural networks or random forests trained on spectroscopic samples, have emerged as powerful alternatives, achieving higher accuracy within the training redshift range by learning complex color-redshift relations from large datasets in surveys like LSST or DESI. Hybrid approaches combining both methods reduce errors by over 10% in some cases, particularly for extragalactic populations. Redshift measurements are subject to several error sources that can bias results or increase uncertainties. Instrumental resolution limits the ability to resolve fine spectral features, with low-resolution spectrographs (R < 1000) leading to line blending and redshift uncertainties up to Δz ~ 0.001. Signal-to-noise ratio (S/N) is a primary factor, as low S/N in faint objects amplifies noise in line centroiding, contributing Gaussian-distributed errors of Δz ~ 10^{-4} from thermal motions or turbulence. In photometric methods, template mismatches—arising from unrepresentative SED models—introduce systematic biases, particularly at high redshifts where unobserved emission lines skew fits, resulting in catastrophic outliers up to 5% of cases. These errors are mitigated through cross-correlation with empirical templates and Monte Carlo simulations to quantify velocity dispersions (e.g., 85–300 km/s for luminous red galaxies). Redshift z is a dimensionless quantity defined as z = (λ_observed - λ_rest)/λ_rest, with spectroscopic methods achieving typical precisions of Δz ≈ 0.001 for bright sources, sufficient to resolve velocity differences of ~200 km/s. Photometric estimates are coarser, with standard deviations σ_z ≈ 0.05 (or normalized median absolute deviation σ_NMAD ~ 0.02–0.03), enabling statistical studies but not individual velocity measurements. For example, nearby galaxies at z ≈ 0.1, such as those in the , yield spectroscopic redshifts precise to 0.0005, while photometric values for similar objects scatter by ~0.01 due to color uncertainties. Key telescopes and their spectrographs play crucial roles in redshift quantification across cosmic scales. The Hubble Space Telescope's Space Telescope Imaging Spectrograph (STIS) provides ultraviolet-to-optical spectra for resolving lines in nearby and intermediate-redshift galaxies, achieving resolutions up to R = 30,000 for precise z measurements. At the Very Large Telescope (VLT), instruments like FORS2 and VIMOS deliver multi-object spectroscopy with Δz ~ 0.001 for surveys of thousands of objects, while the integral-field unit MUSE offers spatially resolved redshifts at R = 3000 for galaxy kinematics. The James Webb Space Telescope's Near-Infrared Spectrograph (NIRSpec) extends capabilities to high redshifts (z > 10) in the 0.6–5.3 μm range, using microshutters for simultaneous spectroscopy of up to 100 faint sources, enabling high redshift success rates, such as approximately 74% in recent deep-field surveys of early universe galaxies.

Historical Development

Early Observations

Vesto Slipher, working at the , pioneered the measurement of radial for spiral nebulae using high-resolution starting in 1912. His initial observation of the Andromeda Nebula (M31, NGC 224) revealed a blueshift of approximately −300 km/s, indicating it was approaching the . Subsequent observations of other spirals showed predominantly large redshifts. By 1917, Slipher had measured for 25 spiral nebulae, with values ranging from −300 km/s to +1100 km/s and a mean velocity of about +400 km/s; 21 were receding while 4 were approaching. These unexpectedly high —far exceeding typical stellar motions of around 20 km/s—were initially interpreted as peculiar motions, but they provided crucial data that later supported the concept of cosmic expansion.

Theoretical Milestones

In 1922, derived solutions to Einstein's field equations of that permitted a dynamic, expanding , challenging the prevailing static model and laying the foundation for the Friedmann-Lemaître-Robertson-Walker (FLRW) metric. These solutions described a homogeneous and isotropic with a scale factor that evolves over time, incorporating positive, zero, or negative spatial curvature depending on the density parameter. Friedmann's work was initially overlooked but later recognized as seminal when Howard Robertson and Arthur Walker independently developed similar frameworks in the early 1930s, formalizing the FLRW models that became central to relativistic cosmology. Building on Friedmann's ideas, proposed in 1927 an expanding universe model that interpreted the observed redshifts of distant galaxies as evidence of cosmic expansion rather than peculiar velocities alone. Lemaître's "primeval atom" hypothesis, elaborated in subsequent works, posited that the universe originated from a hot, dense state and expanded, with redshifts arising from the cumulative Doppler-like effect of this . This framework integrated with emerging astronomical data, estimating a Hubble-like constant and predicting that redshift-distance relations would reveal the universe's finite age. During the 1930s and 1940s, Richard Tolman and developed theoretical tests to distinguish between kinematic interpretations of expansion (pure velocity recession) and dynamic ones governed by . Tolman's surface brightness test predicted that in an expanding universe, the observed of galaxies should dim with redshift as (1 + z)^{-4} due to cosmological effects on and angular size. Bondi extended this with spherically symmetric dust models in 1947, analyzing how inhomogeneities could mimic or challenge uniform expansion, providing tools to probe whether redshifts reflected true relativistic dynamics. The steady-state theory, introduced by , , and in 1948, offered an alternative explanation for redshifts without invoking a origin. This model assumed continuous matter creation to maintain constant density amid expansion, satisfying the and attributing redshifts solely to recession in an eternal, unchanging . Though mathematically consistent with , it was later falsified by the 1965 discovery of the , which supported a hot early over steady-state predictions. The discovery of quasars in the , particularly Maarten Schmidt's 1963 identification of 3C 273's redshift of z = 0.158, revealed objects with enormous luminosities at high redshifts, necessitating refinements to relativistic cosmology. These findings implied quasars as active galactic nuclei powered by supermassive black holes, with high-z examples (up to z ≈ 2 by mid-decade) probing the early universe and confirming FLRW predictions of accelerated expansion rates at greater distances. This spurred developments in understanding redshift evolution and the role of in within expanding models.

Physical Mechanisms

Doppler Redshift

The Doppler redshift arises from the relative motion between a light source and an observer, where the source recedes along the , causing the observed of emitted to increase compared to its rest-frame value. This effect is a direct consequence of the Doppler principle applied to electromagnetic waves, distinct from expansions of space or gravitational fields. In astronomical contexts, it manifests as a shift in lines toward longer wavelengths, enabling measurements of radial velocities. For non-relativistic speeds where the radial velocity vv is much less than the speed of light cc (i.e., vcv \ll c), the redshift parameter zz, defined as z=λobsλrestλrestz = \frac{\lambda_\text{obs} - \lambda_\text{rest}}{\lambda_\text{rest}}, approximates zvcz \approx \frac{v}{c}. This classical formula derives from the wave nature of , where the receding source stretches the wavefronts, increasing the observed proportionally to the component away from the observer. In special relativity, the full Doppler redshift accounts for the constancy of light speed and Lorentz invariance, derived by applying the Lorentz transformation to the events of photon emission and reception. Consider a source emitting light at proper frequency frestf_\text{rest} (wavelength λrest=c/frest\lambda_\text{rest} = c / f_\text{rest}) while moving radially away from a stationary observer at velocity vv, with β=v/c\beta = v/c. The Lorentz transformation for the time interval between two wavefront emissions in the observer's frame yields the observed frequency fobs=frest1β1+βf_\text{obs} = f_\text{rest} \sqrt{\frac{1 - \beta}{1 + \beta}}
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