research30 min studyLesson 638 in Physics

Neutrino wavepackets and coherence lengths

Estimate packet-separation damping with an explicit Gaussian width convention and distinguish physical coherence loss from unresolved phase averaging.

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What you’ll understand

  • Derive a Gaussian overlap scale with declared rms width.
  • Check production, propagation, and detection coherence separately.
  • Distinguish wavepacket separation from classical energy or baseline averaging.

Plane-wave oscillation formulas assume interfering mass components remain experimentally indistinguishable. Real production and detection involve localized quantum states, finite energy-momentum uncertainties, and possible entanglement with other particles. These features determine whether the interfering alternatives can be added coherently. A wavepacket model makes one propagation limit visible: slightly different group velocities can separate initially overlapping components. We will derive a simple Gaussian estimate and keep its convention-dependent numerical factor separate from the broader coherence conditions.

A width belongs to a specified preparation model

For a one-dimensional illustration, take equal nonspreading Gaussian mass-component envelopes ψi(x,t)∝exp⁡[−(x−vit)2/(4σx2)]\psi_i(x,t)\propto\exp[-(x-v_it)^2/(4\sigma_x^2)] with their oscillatory phases factored out. The corresponding spatial probability density has rms width sigma x. This definition matters: calling an amplitude width and a density width by the same symbol changes factors of square root two. The effective width represents assumptions about preparation and detection; it is not a universal neutrino radius measured independently of the source and experiment.

In natural units the ultrarelativistic group velocity is approximately one minus mass squared over twice energy squared. Two components therefore separate by d≃∣Δm2∣L/(2E2)d\simeq|\Delta m^2|L/(2E^2) after traveling baseline L. Their normalized envelope overlap is the integral of the product of the two shifted Gaussians. Completing the square gives an exponential of minus d squared over eight sigma x squared. This is the interference damping factor in this simplified common-time spatial-overlap description, with equal widths, negligible spreading, and initially coherent production.

∣vi−vj∣≃∣Δmij2∣2E2,D(L)=exp⁡[−d28σx2]=exp⁡[−(LLcoh)2],Lcoh=42E2σx∣Δmij2∣|v_i-v_j|\simeq\frac{|\Delta m_{ij}^2|}{2E^2},\qquad \mathcal D(L)=\exp\left[-\frac{d^2}{8\sigma_x^2}\right]=\exp\left[-\left(\frac{L}{L_{\mathrm{coh}}}\right)^2\right],\qquad L_{\mathrm{coh}}=\frac{4\sqrt2 E^2\sigma_x}{|\Delta m_{ij}^2|}
Velocities here are measured in units of c, and masses are expressed as energies. E squared divided by the mass-squared splitting is dimensionless, so Lcoh and sigma-x may both be in metres. The numerical factor follows the stated density-rms Gaussian convention, not a universal sharp coherence boundary.↔ Scroll wide equations horizontally.

Separation is only one possible failure of interference

Coherent propagation cannot restore interference that was absent at production. If energy-momentum information in the source, recoil, or detector distinguishes the emitted mass eigenstate, one must sum corresponding probabilities after tracing over those records. In typical ultrarelativistic preparations, the scale ∣Δm2∣/(2E)|\Delta m^2|/(2E) estimates the tiny kinematic distinction to compare with relevant uncertainties. A complete criterion involves both energy and momentum uncertainties and external-state localization, rather than one blanket equal-energy or equal-momentum rule. Entanglement alone is not sufficient to destroy interference when the accompanying alternatives remain indistinguishable.

Likewise, localization and experimental resolution affect whether a phase pattern is observable. Source and detector position spreads much smaller than the oscillation period avoid washing out its spatial variation. In common Gaussian treatments an effective packet width small compared with that period also avoids a localization suppression, but this is not a universal production-coherence theorem for every nearly stationary source. Detailed source-detector calculations can require separate spatial and temporal uncertainties. The simple separation estimate assumes those additional conditions are already favorable instead of claiming to replace them.

Pα→β(L)=sin⁡2(2θ)2[1−D(L)cos⁡(Δm2L2E)],Losc=4πE∣Δm2∣(ℏ=c=1)P_{\alpha\to\beta}(L)=\frac{\sin^2(2\theta)}2\left[1-\mathcal D(L)\cos\left(\frac{\Delta m^2L}{2E}\right)\right],\qquad L_{\mathrm{osc}}=\frac{4\pi E}{|\Delta m^2|}\quad(\hbar=c=1)
This two-flavor vacuum expression inserts the derived real overlap factor into the interference term and omits other localization or detector suppressions. For D = 1 it reduces to the coherent result; for D approaching zero it approaches the phase-averaged value.↔ Scroll wide equations horizontally.

A smooth spectrum need not imply microscopic decoherence

Even when every event remains coherent, averaging a phase over a broad energy bin or source-distance distribution can suppress its cosine. This is statistical averaging over distinct events, not separation of mass components within one wavepacket. Finer reconstruction can recover information lost only to coarse binning if the underlying data support it. It does not generally undo genuine loss of accessible overlap or a physical record identifying the mass alternative. Both mechanisms may produce the same simple averaged probability, so a rate alone cannot identify which mechanism operated.

The coherence length is a smooth scale: at one such length our Gaussian interference factor is e to the minus one, not zero. Its energy-squared scaling differs from the oscillation length's linear energy scaling, which can help organize estimates but is conditional on holding the effective width fixed. Source environments can change that width with energy or process. A claim of decoherence should therefore specify the packet model, external uncertainties, energy distribution, detector response, and the observable sensitive to their differences. A free pure-state phase rotation is not decoherence.

Estimate a Gaussian overlap distance

Use the stated rms convention with E=1 MeVE=1\,\mathrm{MeV}, ∣Δm2∣=2.5×10−3 eV2|\Delta m^2|=2.5\times10^{-3}\,\mathrm{eV^2}, and σx=10−10 m\sigma_x=10^{-10}\,\mathrm m. Estimate the coherence length and the interference factor at that length.

  1. Convert energy to 106 eV10^6\,\mathrm{eV}, so E2/∣Δm2∣=1012/0.0025=4×1014E^2/|\Delta m^2|=10^{12}/0.0025=4\times10^{14}. This ratio is dimensionless and requires no additional hbar-c conversion.

  2. Multiplying by the width and 424\sqrt2 gives Lcoh=162×104 m≈2.26×105 mL_{\mathrm{coh}}=16\sqrt2\times10^4\,\mathrm m\approx2.26\times10^5\,\mathrm m, or 226 km.

  3. At L equal to this length, the exponent is minus one. The surviving interference factor is e−1≈0.368e^{-1}\approx0.368, so coherence is partially suppressed rather than abruptly absent.

The result

The assumed Gaussian packet model gives a coherence length about 226 km and interference damping 0.368 at that baseline.

Explore the model

Interactive lab

Interactive lab · quantum

Coherent phase rotation preserves a pure Bloch vector

Reset and set BOTH Mixing angle θ = 90° and Relative phase φ = 0°; predict Bloch coordinates (1, 0, 0) and equal probabilities. For a fresh comparison, Reset and set θ = 90° and φ = 90°; predict (0, 1, 0) and the same probabilities. Play each fresh run to see continued phase precession.

Coherent phase rotation preserves a pure Bloch vectorA normalized two-level pure state, not an interacting field simulation. Playback adds one radian per second to the relative phase; basis probabilities stay fixed. Current readings: Probability |0⟩: 71.1%; Probability |1⟩: 28.9%; Bloch (x, y, z): 0.78, 0.45, 0.42. All parameters are adjustable with the labeled controls below.xyz|0⟩|1⟩Basis probabilitiesP(0)71.1%P(1)28.9%
Bloch vector / P(0)P(1)Phase latitude
Probability |0⟩
71.1%
Probability |1⟩
28.9%
Bloch (x, y, z)
0.78, 0.45, 0.42
t = 0 s

A normalized two-level pure state, not an interacting field simulation. Playback adds one radian per second to the relative phase; basis probabilities stay fixed. Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.

Look forThe Bloch vector keeps unit length: changing or precessing a pure relative phase does not create a mixed state. This lab has no packet width, source entanglement, detector averaging, or decoherence control.

Check your understanding

What does the Gaussian definition imply at L equal to Lcoh?

Try it yourself

For maximal two-flavor mixing, suppose the Gaussian overlap factor at a chosen baseline is D=1/2\mathcal D=1/2 and the full relative mass phase is Δm2L/(2E)=π\Delta m^2L/(2E)=\pi. Compute transition and survival probabilities. Compare with complete phase averaging.

Take a moment to make a prediction or work it out on paper. Open a hint when you need one.

Give me a hint

The cosine of the full phase is minus one. Use the damped interference formula, not a reduced mixing angle.

Compare with the solution

Maximal mixing makes the prefactor outside the brackets one half. Thus Pα→β=(1/2)[1−(1/2)(−1)]=3/4P_{\alpha\to\beta}=(1/2)[1-(1/2)(-1)]=3/4, and survival is one quarter. Complete removal of the cosine term would instead give transition and survival each one half. The partial overlap therefore retains some phase information. A three-quarter transition probability at this phase is neither the fully coherent maximum of one nor the fully averaged value of one half.

Take it with you

  • Coherence-length numerical factors require an explicit wavepacket-width convention.
  • Production distinguishability, propagation separation, and detector averaging are separate checks.
  • A phase rotation preserves purity; an averaged oscillation pattern alone does not identify microscopic decoherence.

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