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Laser cooling uses state- and motion-dependent interactions with light to reduce the kinetic energy or motional entropy of atoms, ions, or molecules. The light supplies directed momentum kicks, while spontaneous emission, cavity loss, optical pumping, or another irreversible reset exports entropy to modes that are not retained as the cooled system.

The word cooling refers to a distribution, not merely a mean velocity. A laser can slow an atomic beam without narrowing its velocity spread, deflect a cloud without cooling it, or compress a spatial distribution while heating its momentum distribution. Cooling must therefore be assessed through the motional distribution, including its tails, particle loss, and whether a thermal interpretation is appropriate.

In the simplest Doppler picture, counterpropagating red-detuned beams scatter more strongly from atoms moving toward them. The mean force opposes velocity. The same scattering events produce random spontaneous-emission recoil, so the momentum distribution cannot contract without limit. Friction and diffusion together determine the steady state.

Required background. Radiation pressure derives the scattering force, optical Bloch equations give its internal-state response, spontaneous emission explains recoil and branching, and line shapes fix the spectral conventions. Doppler cooling and sub-Doppler cooling develop the specific mechanisms; here the emphasis is on friction, diffusion, energy scales, and thermometry.

Use a transition frequency ω0\omega_0, laser frequency ωL\omega_L, wave vector k\mathbf k, excited-state population decay rate Γ\Gamma, and atomic velocity v\mathbf v. This chapter follows the neighboring Radiation Pressure page and defines atom-minus-laser detuning:

Δ=ω0−ωL.\Delta = \omega_0-\omega_L.

Thus red detuning has Δ>0\Delta>0. In the atomic rest frame,

Δv=Δ+k⋅v.\Delta_v = \Delta+\mathbf k\mathbin{\cdot}\mathbf v.

All frequencies in these formulas are angular frequencies unless explicitly divided by 2π2\pi.

For one optical wave number k=∣k∣k=|\mathbf k|, define:

pr=ℏk,vr=ℏkm,p_r = \hbar k, \qquad v_r = \frac{\hbar k}{m}, Er=ℏ2k22m,ωr=Erℏ,Tr=ErkB.E_r = \frac{\hbar^2k^2}{2m}, \qquad \omega_r = \frac{E_r}{\hbar}, \qquad T_r = \frac{E_r}{k_{\mathrm B}}.

These are the single-photon recoil momentum, recoil velocity, recoil energy, recoil angular frequency, and recoil temperature. Different authors also use 2Er2E_r or other multiples when discussing a complete absorption–emission cycle. Always inspect the definition.

Momentum diffusion will be defined by

ddtVar⁡(p)=2Dp\frac{d}{dt} \operatorname{Var}(p) = 2D_p

when friction is absent. With this convention, the one-dimensional low-velocity equilibrium relation is kBT=Dp/αk_{\mathrm B}T=D_p/\alpha for F=−αvF=-\alpha v. A convention without the factor of two assigns a different number to the symbol DpD_p.

For one component of a classical Maxwell–Boltzmann gas,

f(vx)=m2πkBTexp⁡[−m(vx−vˉx)22kBT].f(v_x) = \sqrt{ \frac{m}{2\pi k_{\mathrm B}T} } \exp\left[ -\frac{ m(v_x-\bar v_x)^2 }{ 2k_{\mathrm B}T } \right].

Its velocity variance is

σvx2=⟨(vx−vˉx)2⟩=kBTm.\sigma_{v_x}^2 = \left\langle (v_x-\bar v_x)^2 \right\rangle = \frac{k_{\mathrm B}T}{m}.

In dd equilibrated quadratic motional dimensions,

⟨Krandom⟩=d2kBT,\left\langle K_{\mathrm{random}} \right\rangle = \frac{d}{2}k_{\mathrm B}T,

where the mean center-of-mass drift has been subtracted.

Laser-cooled distributions are not always Maxwellian. Dark-state methods can produce a narrow central feature with broad tails. Sub-Doppler mechanisms can couple position, internal state, and momentum. A trapped particle near its motional ground state is better described by occupation probabilities PnP_n than by a classical velocity distribution.

One may still define a variance temperature,

kBTx(var)=m Var⁡(vx),k_{\mathrm B}T_x^{(\mathrm{var})} = m\,\operatorname{Var}(v_x),

but it should be labeled as such. A single variance does not determine a non-Gaussian distribution or its entropy.

A beam with a narrow spread around 300 m s−1300\ \mathrm{m\,s^{-1}} can be cold in its comoving frame and fast in the laboratory. Slowing changes the mean velocity vˉ\bar v; cooling changes fluctuations around the mean.

For a one-dimensional sample,

⟨v2⟩=vˉ2+Var⁡(v).\left\langle v^2\right\rangle = \bar v^2+\operatorname{Var}(v).

Reducing the first term alone is not cooling. Under a Galilean boost v↦v−uv\mapsto v-u, the mean changes but Var⁡(v)\operatorname{Var}(v) is unchanged. The variance temperature is therefore boost invariant in this nonrelativistic description, unlike the uncentered kinetic energy.

For a dilute thermal gas,

λdB=h2πmkBT,D=nλdB3.\lambda_{\mathrm{dB}} = \frac{h}{ \sqrt{2\pi m k_{\mathrm B}T} }, \qquad \mathcal D = n\lambda_{\mathrm{dB}}^3.

Laser cooling can reduce TT while atom loss lowers nn. A colder cloud need not have a larger phase-space density. Quantum degeneracy requires the combined density and temperature scale, not a temperature record alone.

The ideal-gas transition is developed in Bose–Einstein Condensation.

Slowing, Cooling, Trapping, and Compression

Section titled “Slowing, Cooling, Trapping, and Compression”

These operations can occur together, but they should not be conflated.

Operation Distribution-level change Representative diagnostic
Slowing changes mean momentum center-of-mass arrival time or Doppler shift
Cooling narrows motional energy or entropy distribution velocity variance, sideband ratio, full momentum profile
Trapping confines position over time lifetime, oscillation frequencies, spatial distribution
Compression raises spatial density cloud size and particle number
State preparation changes internal populations or coherences state-selective spectroscopy or fluorescence

Optical molasses can cool without providing a restoring force. A magneto-optical trap combines velocity damping with a position-dependent force. A conservative optical dipole trap confines but does not, by itself, remove entropy. Loading only the slow tail of a beam can produce a selected sample without cooling every incident particle.

Absorption from a traveling wave gives the particle

Δpabs=+ℏk.\Delta\mathbf p_{\mathrm{abs}} = +\hbar\mathbf k.

Spontaneous emission of a photon with wave vector ks\mathbf k_s gives

Δpsp=−ℏks.\Delta\mathbf p_{\mathrm{sp}} = -\hbar\mathbf k_s.

The cycle impulse is

Δpcyc=ℏk−ℏks.\Delta\mathbf p_{\mathrm{cyc}} = \hbar\mathbf k -\hbar\mathbf k_s.

In symmetric free space, ⟨ks⟩=0\langle\mathbf k_s\rangle=0 is often a good average, so the mean impulse follows the absorbed beam. The second moment of ks\mathbf k_s is nonzero: random emission creates momentum diffusion in every direction allowed by the dipole radiation pattern.

Suppose the internal state returns to its starting state. In an anti-Stokes cooling cycle, the outgoing photon carries, on average, more energy than the absorbed photon. The difference comes from motional energy:

ΔEmotion≃ℏωL−ℏωs,\Delta E_{\mathrm{motion}} \simeq \hbar\omega_L -\hbar\omega_s,

with recoil, trapping fields, and external work included consistently in the energy balance.

The laser is not a cold thermal reservoir. It is a low-entropy, driven field that makes selected transitions probable. Irreversible emission or another reset channel carries entropy away. Without dissipation or coarse-graining, Hamiltonian evolution preserves fine-grained phase-space volume and does not produce ordinary friction.

If every absorption supplies momentum opposite the incident particle velocity and mean emission recoil vanishes along that axis, changing speed by Δv\Delta v requires approximately

Nγ≃m∣Δv∣ℏk=∣Δv∣vr.N_\gamma \simeq \frac{m|\Delta v|}{\hbar k} = \frac{|\Delta v|}{v_r}.

This is a momentum budget, not a guarantee that the transition remains closed or resonant. During slowing, the Doppler shift changes by kΔvk\Delta v; a fixed-frequency beam generally leaves resonance unless the laser frequency, atomic transition, or geometry is varied.

For a closed two-level atom driven by one traveling wave, the steady scattering rate is

Rsc(Δv)=Γ2s01+s0+(2Δv/Γ)2,R_{\mathrm{sc}}(\Delta_v) = \frac{\Gamma}{2} \frac{ s_0 }{ 1+s_0+ \left( 2\Delta_v/\Gamma \right)^2 },

where s0=2∣Ω∣2/Γ2s_0=2|\Omega|^2/\Gamma^2 in this convention. If the mean spontaneous recoil is zero, the mean force is

Fsc=ℏkRsc.\mathbf F_{\mathrm{sc}} = \hbar\mathbf k R_{\mathrm{sc}}.

The force is bounded by

Fmax⁡=ℏkΓ2F_{\max} = \frac{\hbar k\Gamma}{2}

for this ideal two-level steady state. The corresponding maximum acceleration is

amax⁡=ℏkΓ2m.a_{\max} = \frac{\hbar k\Gamma}{2m}.

These expressions assume:

  • a closed transition;
  • a well-defined plane-wave momentum;
  • internal steady state;
  • negligible coherent interference with other beams;
  • slow enough external motion that the force follows the changing detuning;
  • declared linewidth and Rabi-frequency conventions.

Real cooling transitions require hyperfine, Zeeman, polarization, branching, and repumping structure. Saturated beams sharing the same levels cannot always be added as independent force formulas.

For an atom moving with v>0v>0 along xx, a beam propagating in the −x-x direction has effective atom-minus-laser detuning

Δ−=Δ−kv.\Delta_- = \Delta-kv.

If Δ>0\Delta>0, that counterpropagating beam moves closer to resonance as vv increases toward Δ/k\Delta/k. Its absorption supplies momentum −ℏk-\hbar k, opposing the motion. The copropagating beam moves farther from resonance.

In a weak-saturation, independent-beam model,

F(v)=ℏk[R(Δ+kv)−R(Δ−kv)],F(v) = \hbar k \left[ R(\Delta+kv) -R(\Delta-kv) \right],

with

R(δ)=Γ2s01+(2δ/Γ)2.R(\delta) = \frac{\Gamma}{2} \frac{ s_0 }{ 1+ \left( 2\delta/\Gamma \right)^2 }.

Near v=0v=0,

F(v)≃−αv,F(v) \simeq -\alpha v,

where

α=8ℏk2s0Δ/Γ[1+(2Δ/Γ)2]2.\alpha = 8\hbar k^2s_0 \frac{ \Delta/\Gamma }{ \left[ 1+ \left( 2\Delta/\Gamma \right)^2 \right]^2 }.

Under this detuning convention, red detuning Δ>0\Delta>0 gives α>0\alpha>0 and damping. Blue detuning gives antidamping in this simple configuration.

Counterpropagating cooling beams above exact momentum-variance curves relaxing toward the friction–diffusion steady state

Top: red-detuned beams scatter more strongly against a small positive velocity. Bottom: in the linear Fokker–Planck model, momentum variance relaxes to Vss=mDp/αV_{\rm ss}=mD_p/\alpha. An initially broader distribution cools, but one narrower than this steady width heats under the same light.

The linear force applies only near zero velocity. A rough spectral capture condition for the counterpropagating beam is

∣Δ−kv∣≲Γeff,|\Delta-kv| \lesssim \Gamma_{\mathrm{eff}},

where Γeff\Gamma_{\mathrm{eff}} denotes an order-of-magnitude spectral width, not an exact FWHM in this estimate. It includes natural linewidth, power broadening, frequency modulation, field shifts, and the multilevel response. A force can have a steep damping slope but a narrow capture range. Actual capture also requires enough deceleration before the particle exits the illuminated region.

Capture and final temperature are therefore different design objectives:

  • broad transitions and high intensity improve force and capture;
  • weak intensity and favorable detuning reduce the basic Doppler temperature;
  • narrow transitions can reach lower temperatures but capture a smaller velocity class;
  • staged cooling can combine a broad capture transition with a narrow final transition.

A single beam generally produces a nonzero mean force even at v=0v=0. It can slow atoms approaching from one direction, but it does not create symmetric damping around zero momentum. Counterpropagating beams create the local restoring drift in momentum space.

In three dimensions, six beams are a common idealization. Polarizations, magnetic fields, interference, beam imbalance, and multilevel optical pumping make the actual force more than three independent copies of the one-dimensional formula.

Let f(p,t)f(p,t) be a one-dimensional momentum distribution. Near the damping region, suppose

F=−αmpF = -\frac{\alpha}{m}p

and momentum kicks produce a constant diffusion coefficient DpD_p. The Fokker–Planck equation is

∂f∂t=αm∂∂p(pf)+Dp∂2f∂p2.\frac{\partial f}{\partial t} = \frac{\alpha}{m} \frac{\partial}{\partial p} \left( pf \right) + D_p \frac{\partial^2f}{\partial p^2}.

The second moment obeys

ddt⟨p2⟩=−2αm⟨p2⟩+2Dp.\frac{d}{dt} \left\langle p^2\right\rangle = -\frac{2\alpha}{m} \left\langle p^2\right\rangle + 2D_p.

Hence the damping time for the momentum amplitude is

τp=mα,\tau_p = \frac{m}{\alpha},

while the kinetic-energy or variance relaxation has rate 2α/m2\alpha/m in this linear model.

At stationarity,

⟨p2⟩ss=mDpα.\left\langle p^2\right\rangle_{\mathrm{ss}} = \frac{mD_p}{\alpha}.

If the stationary distribution is thermal,

⟨p2⟩=mkBT,\left\langle p^2\right\rangle = mk_{\mathrm B}T,

so

kBT=Dpα.k_{\mathrm B}T = \frac{D_p}{\alpha}.

Momentum diffusion can include:

  • random spontaneous-emission directions;
  • fluctuations in absorption times;
  • random choices among counterpropagating beams;
  • state switching among different light shifts;
  • dipole-force fluctuations;
  • laser amplitude, phase, frequency, and pointing noise;
  • collisions and reabsorption of scattered photons.

Computing only the damping coefficient cannot predict a temperature.

In several dimensions, friction and diffusion are tensors:

Fi≃−∑jαijvj,F_i \simeq -\sum_j\alpha_{ij}v_j, ddtCov⁡(pi,pj)∣diff=2Dij.\frac{d}{dt} \operatorname{Cov}(p_i,p_j) \bigg|_{\mathrm{diff}} = 2D_{ij}.

Anisotropic emission, polarization gradients, trap geometry, and magnetic fields can produce unequal temperatures and cross-correlations. Quoting one temperature is justified only after thermalization or an explicit averaging rule.

For balanced three-dimensional, weakly saturated, broad-line two-level molasses, the standard friction–diffusion balance gives the benchmark

kBTD=ℏΓ2.k_{\mathrm B}T_D = \frac{\hbar\Gamma}{2}.

Under the atom-minus-laser convention, the weak-saturation optimum occurs at

Δ=Γ2.\Delta = \frac{\Gamma}{2}.

This Doppler limit is not a universal lower bound on laser cooling. It is the minimum of a specific semiclassical two-level model. Multilevel polarization-gradient cooling, dark-state methods, Raman cooling, resolved sideband cooling, and narrow transitions violate one or more assumptions of that model.

The recoil temperature is

Tr=ℏ2k22mkB.T_r = \frac{ \hbar^2k^2 }{ 2mk_{\mathrm B} }.

The ratio

TDTr=Γ2ωr\frac{T_D}{T_r} = \frac{\Gamma}{2\omega_r}

separates useful regimes.

  • If Γ≫ωr\Gamma\gg\omega_r, many recoil steps fit within the optical linewidth, and a semiclassical momentum description is often effective.
  • If Γ\Gamma is comparable to ωr\omega_r, individual recoil and narrow-line effects become central.
  • In a trap with resolved motional spacing, the relevant comparison includes ωt/Γeff\omega_t/\Gamma_{\mathrm{eff}} and the Lamb–Dicke parameter.

The recoil temperature is also not an absolute lower bound. Dark states can protect particles near zero velocity from further scattering. Resolved sideband cooling instead targets oscillator occupation near n=0n=0; its ground-state momentum width need not be subrecoil. Indeed, mVar⁡(v)=ℏωt(nˉ+1/2)m\operatorname{Var}(v)=\hbar\omega_t(\bar n+1/2) for a thermal oscillator: the zero-point variance remains finite even as its thermodynamic temperature tends to zero. The relevant floor and observable are mechanism dependent.

For a harmonic trap of angular frequency ωt\omega_t,

En=ℏωt(n+12).E_n = \hbar\omega_t \left( n+\frac{1}{2} \right).

If the motional state is thermal,

nˉ=1exp⁡(ℏωt/kBT)−1.\bar n = \frac{1}{ \exp( \hbar\omega_t/k_{\mathrm B}T )-1 }.

Near the ground state, nˉ\bar n and the full PnP_n distribution are more informative than a classical temperature.

Two or more red-detuned beams create velocity damping. The method offers large force and capture range and often supplies the first cooling stage for neutral atoms, ions, and suitable molecules. Its ideal two-level temperature is set by ℏΓ\hbar\Gamma, while real outcomes depend on multilevel structure, beam geometry, intensity, magnetic fields, and diffusion.

Optical molasses is the near-zero-field, approximately force-balanced version. It cools velocity but is not a stable position trap.

An intercombination or other narrow transition reduces the Doppler scale because Γ\Gamma is smaller. The capture velocity and maximum force also shrink. Gravity, recoil, power broadening, frequency sweeps, and magnetic field gradients can become comparable to the optical scales.

Staged alkaline-earth cooling commonly uses a broad transition for capture and a narrow transition for the final temperature. This is an engineering response to the capture–temperature trade-off.

Polarization-gradient and Sisyphus cooling

Section titled “Polarization-gradient and Sisyphus cooling”

Real atoms have Zeeman and hyperfine sublevels. Spatially varying polarization creates state-dependent light shifts and optical-pumping rates. Atoms can repeatedly climb light-shift hills and be pumped into a lower energy state near the top, transferring motional energy to scattered light.

This mechanism can cool below the two-level Doppler limit. Its scale depends on light shifts and recoil rather than only ℏΓ\hbar\Gamma. Magnetic fields, polarization errors, and level degeneracy are central rather than small corrections.

Coherent superpositions can decouple from the light. If the dark condition is velocity selective, particles accumulate near a narrow momentum class and stop scattering there.

Velocity-selective coherent population trapping and Raman cooling can create subrecoil distributions. Such distributions may be non-Gaussian and nonergodic, so assigning one equilibrium temperature can conceal their structure.

A trapped particle has quantized motional sidebands. In the resolved-sideband regime, a drive can preferentially remove one motional quantum on a red sideband, while optical pumping resets the internal state with a small probability of changing motion in the Lamb–Dicke regime.

The cycle is:

∣g,n⟩⟶∣e,n−1⟩⟶∣g,n−1⟩.|g,n\rangle \longrightarrow |e,n-1\rangle \longrightarrow |g,n-1\rangle.

The state ∣g,0⟩|g,0\rangle is dark to the red sideband because no n=−1n=-1 state exists. Imperfect sideband resolution, recoil during reset, off-resonant carrier excitation, motional heating, and trap-frequency noise set the final nˉ\bar n.

Raman transitions can couple internal states while changing motion with controllable wavevector difference. Raman sideband cooling combines sideband-selective coherent transfer with dissipative optical pumping. Electromagnetically induced transparency can reshape the absorption spectrum to suppress carrier excitation while enhancing a cooling sideband.

These are not synonymous methods. Their level schemes, dark states, linewidths, and reset channels must be specified.

A cavity can make anti-Stokes scattering into a selected lossy mode more probable than Stokes scattering. The cavity output removes energy and carries information. This can cool particles without relying on a free-space closed cycling transition in the same way as ordinary Doppler cooling.

The relevant scales include cavity linewidth, recoil, coupling, detuning, mode profile, and measurement backaction. Cavity QED supplies the emitter–mode coupling framework.

Molecules have rotational and vibrational branching. Direct cooling requires an approximately closed optical cycle plus repump lasers that return population from important leakage states. Angular-momentum dark states, Zeeman structure, parity, and hyperfine splittings shape both force and cooling.

If independent scattering cycles each remain in the repumped manifold with probability bb, survival after NN cycles is approximately

Psurv=bN.P_{\mathrm{surv}} = b^N.

For the tens of thousands of photons needed to slow a molecular beam, a seemingly small leakage probability can be fatal. Optical cycling quality is a quantitative requirement, not a binary label.

A practical sequence combines broad-line capture with a colder molasses or sideband stage, then transfers the particles into a conservative trap. Transfer can change the temperature through adiabatic compression or sudden switching. Evaporative cooling subsequently removes energetic particles; sympathetic cooling transfers energy to another component. Neither is itself an optical scattering mechanism.

Consider 87Rb^{87}\mathrm{Rb} on a transition near λ=780.24 nm\lambda=780.24\ \mathrm{nm} with

Γ2π≃6.07 MHz,m≃1.443×10−25 kg.\frac{\Gamma}{2\pi} \simeq 6.07\ \mathrm{MHz}, \qquad m \simeq 1.443\times10^{-25}\ \mathrm{kg}.

The wave number and recoil velocity are approximately

k=2πλ≃8.05×106 m−1,k = \frac{2\pi}{\lambda} \simeq 8.05\times10^6\ \mathrm{m^{-1}}, vr=ℏkm≃5.88×10−3 m s−1.v_r = \frac{\hbar k}{m} \simeq 5.88\times10^{-3}\ \mathrm{m\,s^{-1}}.

Slowing from 300 m s−1300\ \mathrm{m\,s^{-1}} to rest requires the ideal directed absorption budget

Nγ≃3005.88×10−3≃5.1×104.N_\gamma \simeq \frac{300}{5.88\times10^{-3}} \simeq 5.1\times10^4.

That number immediately explains why a cooling transition must be extremely closed and why repumping matters.

The ideal saturated two-level acceleration ceiling is

amax⁡=ℏkΓ2m≃1.1×105 m s−2.a_{\max} = \frac{\hbar k\Gamma}{2m} \simeq 1.1\times10^5\ \mathrm{m\,s^{-2}}.

Constant maximum deceleration would stop the atoms over

ℓmin⁡=v022amax⁡≃0.40 m.\ell_{\min} = \frac{v_0^2}{2a_{\max}} \simeq 0.40\ \mathrm{m}.

The corresponding time is about 2.7 ms2.7\ \mathrm{ms}. A real slower uses a smaller fraction of amax⁡a_{\max} to maintain stability and account for intensity, polarization, field, and multilevel imperfections.

The initial Doppler angular shift is

kv0≃2.42×109 s−1,kv_0 \simeq 2.42\times10^9\ \mathrm{s^{-1}},

or about 385 MHz385\ \mathrm{MHz} in ordinary frequency. This is far larger than the natural linewidth. The resonance must be followed, for example with a spatial Zeeman shift or a frequency chirp.

For these values,

Tr≃0.181 μK,TD≃146 μK.T_r \simeq 0.181\ \mu\mathrm K, \qquad T_D \simeq 146\ \mu\mathrm K.

The broad transition has TD≫TrT_D\gg T_r, so the standard Doppler theory is semiclassical over much of its operating range. Sub-Doppler mechanisms are needed to approach the recoil scale.

These estimates give the relevant scales for a rubidium slower. It omits branching, hyperfine repumping, transverse diffusion, laser linewidth, beam profile, magnetic geometry, and collisions.

After release and ballistic expansion,

x(t)=x0+v0t.x(t) = x_0+v_0t.

The spatial variance is

σx2(t)=σx2(0)+2t Cov⁡(x0,v0)+t2σv2.\sigma_x^2(t) = \sigma_x^2(0) + 2t\,\operatorname{Cov}(x_0,v_0) + t^2\sigma_v^2.

The familiar fit

σx2(t)=σx2(0)+kBTmt2\sigma_x^2(t) = \sigma_x^2(0) + \frac{k_{\mathrm B}T}{m}t^2

holds for second moments with negligible position–velocity covariance, ballistic motion, and corrected imaging response; it does not require a Gaussian distribution. Interpreting mσv2/kBm\sigma_v^2/k_{\mathrm B} as a thermodynamic temperature additionally requires thermal equilibrium. A Gaussian fit to a non-Gaussian image need not recover its true second moment.

The trap is switched off for a variable time and restored. The recaptured fraction is compared with a model or simulation. The inference depends on trap geometry, depth, gravity, switching transients, collisions, and the initial spatial distribution. It is model-dependent thermometry.

A narrow probe maps velocity onto detuning through k⋅v\mathbf k\mathbin{\cdot}\mathbf v. The measured line also contains natural, power, laser, transit, collision, and instrumental broadening. Line Shapes and Broadening develops convolution and linewidth analysis.

For a harmonic mode in the Lamb–Dicke regime, with weak resolved probing and matched response, the integrated red-to-blue sideband-strength ratio is

AredAblue=nˉnˉ+1.\frac{A_{\mathrm{red}}}{A_{\mathrm{blue}}} = \frac{\bar n}{\bar n+1}.

Thus

nˉ=Ared/Ablue1−Ared/Ablue.\bar n = \frac{ A_{\mathrm{red}}/A_{\mathrm{blue}} }{ 1-A_{\mathrm{red}}/A_{\mathrm{blue}} }.

In this linear-response limit it follows from strengths Ared∝∑nnPnA_{\rm red}\propto\sum_n nP_n and Ablue∝∑n(n+1)PnA_{\rm blue}\propto\sum_n(n+1)P_n, so it determines the mean occupation even for a nonthermal diagonal state. Inferring temperature or ground-state probability from that mean requires more information. Saturated finite-time Rabi measurements have different weighting and need their own model.

For non-Gaussian states, retain the measured distribution rather than only a temperature fit. Detuning, intensity, polarization, magnetic fields, density, and repump branching can all change both friction and diffusion. A final temperature is useful only for the interval before trap noise, collisions, or photon scattering reheats the sample. The laser-cooling notebook implements the simple Doppler force and friction–diffusion model.

Two one-dimensional atomic beams have velocity distributions:

vA=(300±20) m s−1,v_A = (300\pm20)\ \mathrm{m\,s^{-1}}, vB=(30±25) m s−1,v_B = (30\pm25)\ \mathrm{m\,s^{-1}},

where the numbers after ±\pm are one-standard-deviation widths. The atomic mass is the same.

  1. Which beam is slower?
  2. Which beam has the lower variance temperature?
  3. By what factor do their one-dimensional variance temperatures differ?
Solution

Beam B has the lower mean speed, so it is slower in the laboratory.

The variance temperature is

kBT(var)=mσv2.k_{\mathrm B}T^{(\mathrm{var})} = m\sigma_v^2.

Beam A has σA=20 m s−1\sigma_A=20\ \mathrm{m\,s^{-1}} and beam B has σB=25 m s−1\sigma_B=25\ \mathrm{m\,s^{-1}}. Therefore A is colder by this measure, despite moving faster on average.

The ratio is

TBTA=σB2σA2=(2520)2=1.5625.\frac{T_B}{T_A} = \frac{\sigma_B^2}{\sigma_A^2} = \left(\frac{25}{20}\right)^2 = 1.5625.

Beam B is slower but has a 56%56\% larger variance temperature.

For 87Rb^{87}\mathrm{Rb} at 780.24 nm780.24\ \mathrm{nm}, use vr=5.88 mm s−1v_r=5.88\ \mathrm{mm\,s^{-1}}.

  1. How many directed absorption events are required to change the atomic speed by 50 m s−150\ \mathrm{m\,s^{-1}}?
  2. If spontaneous emission is isotropic and independent, estimate the rms velocity diffusion in one transverse direction after this many events.
Solution

The ideal number is

N=505.88×10−3≃8.50×103.N = \frac{50}{5.88\times10^{-3}} \simeq 8.50\times10^3.

For isotropic emission, one Cartesian component has mean-square recoil vr2/3v_r^2/3 per event. Independent events add variances:

σv⊥≃vrN3.\sigma_{v_\perp} \simeq v_r\sqrt{\frac{N}{3}}.

Thus

σv⊥≃(5.88×10−3)8.50×1033≃0.313 m s−1.\sigma_{v_\perp} \simeq (5.88\times10^{-3}) \sqrt{\frac{8.50\times10^3}{3}} \simeq 0.313\ \mathrm{m\,s^{-1}}.

Directed slowing therefore coexists with transverse recoil diffusion. Dipole emission patterns and absorption from multiple beams modify the numerical factor.

In the weak-saturation model,

F(v)=ℏk[R(Δ+kv)−R(Δ−kv)],F(v) = \hbar k \left[ R(\Delta+kv)-R(\Delta-kv) \right],

where

R(δ)=Γs0/21+(2δ/Γ)2.R(\delta) = \frac{\Gamma s_0/2}{ 1+(2\delta/\Gamma)^2 }.

Show that red detuning under the convention Δ=ω0−ωL>0\Delta=\omega_0-\omega_L>0 produces F≃−αvF\simeq-\alpha v with α>0\alpha>0.

Solution

Expand about v=0v=0:

R(Δ±kv)≃R(Δ)±kvR′(Δ).R(\Delta\pm kv) \simeq R(\Delta) \pm kvR'(\Delta).

Therefore

F(v)≃2ℏk2vR′(Δ).F(v) \simeq 2\hbar k^2vR'(\Delta).

Differentiating,

R′(Δ)=−4s0(Δ/Γ)[1+(2Δ/Γ)2]2.R'(\Delta) = -\frac{ 4s_0(\Delta/\Gamma) }{ \left[ 1+(2\Delta/\Gamma)^2 \right]^2 }.

Hence

F(v)≃−αv,F(v) \simeq -\alpha v,

with

α=8ℏk2s0Δ/Γ[1+(2Δ/Γ)2]2.\alpha = 8\hbar k^2s_0 \frac{ \Delta/\Gamma }{ \left[ 1+(2\Delta/\Gamma)^2 \right]^2 }.

For Δ>0\Delta>0, α>0\alpha>0. The force opposes small velocity. A source using laser-minus-atom detuning assigns the opposite sign to red detuning.

The one-dimensional momentum distribution obeys

∂f∂t=αm∂∂p(pf)+Dp∂2f∂p2.\frac{\partial f}{\partial t} = \frac{\alpha}{m} \frac{\partial}{\partial p}(pf) + D_p\frac{\partial^2f}{\partial p^2}.

Given zero initial mean and variance V0=⟨p2⟩0V_0=\langle p^2\rangle_0, solve for V(t)=⟨p2⟩tV(t)=\langle p^2\rangle_t and identify the stationary temperature.

Solution

The second moment obeys

V˙=−2αmV+2Dp.\dot V = -\frac{2\alpha}{m}V+2D_p.

The solution is

V(t)=mDpα+(V0−mDpα)exp⁡(−2αtm).V(t) = \frac{mD_p}{\alpha} + \left( V_0-\frac{mD_p}{\alpha} \right) \exp\left( -\frac{2\alpha t}{m} \right).

The stationary variance is

Vss=mDpα.V_{\mathrm{ss}} = \frac{mD_p}{\alpha}.

For a thermal one-dimensional distribution, Vss=mkBTV_{\mathrm{ss}}=mk_{\mathrm B}T, so

kBT=Dpα.k_{\mathrm B}T = \frac{D_p}{\alpha}.

The variance relaxes with time constant m/(2α)m/(2\alpha), while the mean momentum relaxes with time constant m/αm/\alpha.

For the rubidium-like values

Γ2π=6.07 MHz,ωr2π=3.77 kHz,\frac{\Gamma}{2\pi} = 6.07\ \mathrm{MHz}, \qquad \frac{\omega_r}{2\pi} = 3.77\ \mathrm{kHz},

compute TD/TrT_D/T_r. What does the result imply?

Solution

Using

TDTr=Γ2ωr,\frac{T_D}{T_r} = \frac{\Gamma}{2\omega_r},

ordinary-frequency factors of 2π2\pi cancel:

TDTr=6.07×1062(3.77×103)≃805.\frac{T_D}{T_r} = \frac{6.07\times10^6}{ 2(3.77\times10^3) } \simeq 805.

The natural linewidth is much larger than the recoil frequency. The two-level Doppler scale lies hundreds of recoil temperatures above TrT_r. This supports a semiclassical broad-line description over the Doppler stage and leaves substantial room for sub-Doppler cooling.

A released cloud has

σx(0)=0.20 mm,σv=0.030 m s−1,\sigma_x(0)=0.20\ \mathrm{mm}, \qquad \sigma_v=0.030\ \mathrm{m\,s^{-1}},

and

Cov⁡(x0,v0)=−3.0×10−6 m2 s−1.\operatorname{Cov}(x_0,v_0) = -3.0\times10^{-6}\ \mathrm{m^2\,s^{-1}}.

Find σx\sigma_x after t=10 mst=10\ \mathrm{ms}. Compare with a fit that neglects the covariance.

Solution

The full variance is

σx2(t)=σx2(0)+2t Cov⁡(x0,v0)+t2σv2.\sigma_x^2(t) = \sigma_x^2(0) + 2t\,\operatorname{Cov}(x_0,v_0) + t^2\sigma_v^2.

The three terms are

σx2(0)=4.0×10−8 m2,\sigma_x^2(0) = 4.0\times10^{-8}\ \mathrm{m^2}, 2t Cov⁡=−6.0×10−8 m2,2t\,\operatorname{Cov} = -6.0\times10^{-8}\ \mathrm{m^2}, t2σv2=9.0×10−8 m2.t^2\sigma_v^2 = 9.0\times10^{-8}\ \mathrm{m^2}.

Thus

σx2(t)=7.0×10−8 m2,\sigma_x^2(t) = 7.0\times10^{-8}\ \mathrm{m^2},

and

σx(t)≃0.265 mm.\sigma_x(t) \simeq 0.265\ \mathrm{mm}.

Neglecting covariance would give

σx2=1.30×10−7 m2,σx≃0.361 mm.\sigma_x^2 = 1.30\times10^{-7}\ \mathrm{m^2}, \qquad \sigma_x \simeq 0.361\ \mathrm{mm}.

Conversely, fitting the actual 7.0×10−8 m27.0\times10^{-8}\ \mathrm{m^2} width while fixing the initial size and neglecting covariance gives σv,fit2=3.0×10−4 m2s−2\sigma_{v,\rm fit}^2=3.0\times10^{-4}\ \mathrm{m^2s^{-2}}, one third of the true variance. That inferred temperature is biased downward. A position–velocity correlation can arise from focusing, trap switching, or nonequilibrium dynamics.

A slowing stage requires N=5.0×104N=5.0\times10^4 scattered photons. Let bb be the probability per photon that the particle remains in the addressed cycling manifold.

  1. If b=0.9999b=0.9999, what fraction survives?
  2. What minimum bb is required for 90%90\% survival?
Solution

The survival probability is

P=bN.P=b^N.

For b=0.9999b=0.9999,

P=(0.9999)50000≃exp⁡(−5.000)≃6.7×10−3.P = (0.9999)^{50000} \simeq \exp(-5.000) \simeq 6.7\times10^{-3}.

Only about 0.67%0.67\% survive.

For P=0.90P=0.90,

b=P1/N=exp⁡(ln⁡0.9050000)≃0.99999789.b = P^{1/N} = \exp\left( \frac{\ln0.90}{50000} \right) \simeq 0.99999789.

The allowed leakage probability per photon is only about 2.1×10−62.1\times10^{-6}. This is why apparently weak vibrational or hyperfine branching requires repumping.

A trapped particle has an integrated red-to-blue sideband ratio

r=AredAblue=0.12.r = \frac{A_{\mathrm{red}}}{A_{\mathrm{blue}}} = 0.12.

Assume weak resolved probing in the Lamb–Dicke regime. Find nˉ\bar n and, assuming a thermal distribution, P0P_0. Can a nonthermal state have the same ratio but a different P0P_0?

Solution

The sideband ratio gives

r=nˉnˉ+1.r = \frac{\bar n}{\bar n+1}.

Therefore

nˉ=r1−r=0.120.88≃0.136.\bar n = \frac{r}{1-r} = \frac{0.12}{0.88} \simeq 0.136.

For a thermal harmonic oscillator,

Pn=1nˉ+1(nˉnˉ+1)n.P_n = \frac{1}{\bar n+1} \left( \frac{\bar n}{\bar n+1} \right)^n.

Thus

P0=1nˉ+1≃0.880.P_0 = \frac{1}{\bar n+1} \simeq 0.880.

The ratio fixes nˉ=3/22\bar n=3/22, but not P0P_0 without the thermal assumption. A mixture of ∣0⟩|0\rangle and ∣1⟩|1\rangle with this mean has P0=19/22P_0=19/22; a mixture of ∣0⟩|0\rangle and ∣2⟩|2\rangle has P0=41/44P_0=41/44. Both have the same weak sideband ratio. Overlapping sidebands, probe backaction, and unequal saturation can invalidate even the mean-occupation inference.

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