Painting hot and cold stripes with two beams
Two pump beams of wavelength crossing at an angle make sinusoidal interference fringes on the sample, with the period given by Maznev and colleagues (below). The sample absorbs light in the bright fringes and not in the dark ones, so the temperature varies along the surface as , with .
For graphite, Huberman and colleagues pumped with 515 nm pulses and probed with a continuous 532 nm beam. Thermal expansion turns the temperature stripes into a surface ripple, which acts as a reflection grating and diffracts the probe. Mixing the diffracted light with a reference beam, heterodyne detection, gives a signal proportional to the ripple amplitude with its sign: if hot and cold stripes swap places, the signal turns negative.
Graphite conducts about 300 times less heat across its layers than along them, so until the stripes are washed out the heat moves almost only along the surface. The ripple is proportional to the temperature rise integrated over depth, and the signal reports one-dimensional in-plane transport alone.
Source: A. A. Maznev · S. Huberman
Diffusion makes a sinusoidal grating decay exponentially
Substitute into the one-dimensional diffusion equation. The second derivative of a cosine is the cosine times , so the stripes keep their shape and only the amplitude decays, following a first-order ordinary differential equation.
That is the beauty of the method: a sinusoid is an eigensolution of the diffusion equation, so you need neither the edges of the heated spot nor the spatial profile; one time constant says it all. Huberman and colleagues write the same time constant as below.
Source: S. Huberman · A. A. Maznev
At short periods the decay is slower than diffusion
Huberman and colleagues measured periods from 3.7 to 37.5 µm at 300 K. The long period gave a diffusivity of 11 cm²/s. At shorter periods the apparent diffusivity was no longer constant: the decay was slower than the diffusion equation predicts, while the traces stayed exponential. They read this as the onset of a size effect, once the mean free paths of heat-carrying phonons become comparable to the period.
Maznev and colleagues explained the slowdown theoretically. Low-frequency phonons with long mean free paths fly from a hot stripe straight into cold ones several stripes away, so they do not smooth the pattern the way diffusion would; in their analysis these phonons contribute less to the grating decay than to bulk conduction. For silicon at room temperature they found the drop in effective conductivity still significant at periods as large as 10 µm.
The gray model has an extreme case: with no scattering at all the amplitude follows , and the decay time scales with the period instead of its square. The Lab’s “Free flight” preset shows this case.
Source: S. Huberman · A. A. Maznev
Fitting and held-out testing
Each record in the Lab is a model curve plus seeded Gaussian noise. An exponential fit gives a decay rate and its standard error, which convert to an apparent diffusivity. Huberman and colleagues did something similar, fitting the raw data from the moment the signal had fallen to 80% of its maximum.
The Lab sweeps seven periods at once. Five are used to fit two candidate models: a Fourier model with one diffusivity for all periods, and the damped-wave model of the next chapter. The other two periods are held out. A model explains the data only if it predicts the held-out records to within the noise. This is stricter than a good fit, because a model with more parameters always fits its training data more easily. A heavily damped wave is just diffusion, so a passing damped wave does not by itself mean second sound; the Lab also counts at how many swept periods the fitted wave really swings below zero.
Source: S. Huberman · A. A. Maznev
Worked example: time scales in graphite and silicon
Problem: Huberman and colleagues pumped at 515 nm and found a graphite diffusivity of 11 cm²/s at a 37.5 µm period and 300 K. Find the crossing angle and decay time for that period; then the crossing angle at 3.7 µm and the decay time Fourier’s law predicts there. Finally, for gray silicon (), find the decay times at 1 µm and 10 µm.
At 37.5 µm, , so . The decay time is .
At 3.7 µm, and Fourier’s law predicts . A period about ten times shorter gives a time about a hundred times shorter. The measured decay is slower, so the apparent diffusivity comes out below 11 cm²/s.
Gray silicon: at 1 µm and at 10 µm, in line with the “about 0.3 to 30 ns for periods of 1 to 10 µm” quoted by Maznev and colleagues.
Source: S. Huberman · A. A. Maznev · Ioffe Institute