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Sandbox Physics

E62 · Photoelectron spectroscopy

HAXPES: Depth & Buried Interfaces

Compare soft and hard X-ray scans of the same layered silicon specimen. Fit three chemical-state doublets from independent acquired counts, then infer cap and interface thicknesses with an explicit escape model. Test grazing emission, weak counts and a wrong attenuation length.

Interactive modelHAXPES: Depth & Buried Interfaces
Cap thickness inferred from counts—\text{—}
Interface width inferred from counts—\text{—}
Fitted cap / interface / substrate signal—\text{—}
Fitted three-state areas · counts—\text{—}
Instrument Gaussian-equivalent FWHM—\text{—}
Recorded selected-energy counts—\text{—}
Supplied normal escape length—\text{—}
Known teaching-model normal length—\text{—}
Known normal depth · 95% escape weight—\text{—}
Known cap / interface thicknesses—\text{—}
Substrate analyzer kinetic energy—\text{—}
Count-scaled fit residual—\text{—}
Experiment target—\text{—}

Physics tutorial

A buried signal needs a depth model

BackgroundHard X-rays eject electrons with higher kinetic energy. In suitable materials, longer escape lengths give buried layers more weight, but photoemission cross sections and count yield also change.

Why it mattersA stronger normalized interface fraction can coexist with fewer absolute interface counts. A numerical thickness also depends on the escape-length assumption.

Start with the essentials

Focus question
Can a harder photon reveal a buried layer?
One-sentence intuition
Fit each acquired scan independently. With a stated three-layer order and common escape model, area ratios yield cap and interface thicknesses. A wrong model gives precise-looking biased results.

Core mathematical model

Energy and normal escape length

Ka=hν−ϕa−EB,L=λ(Ka)cos⁡θK_a=h\nu-\phi_a-E_B,\qquad L=\lambda(K_a)\cos\theta

The angle is measured from the outward normal. The common length uses substrate kinetic energy for all three nearby states, omitting elastic scattering and material differences.

Assumed normalized depth weight

w(z)=1Lexp⁡ ⁣(−zL)w(z)=\frac{1}{L}\exp\!\left(-\frac{z}{L}\right)

Equal Si number density, common sensitivity, semi-infinite substrate and negligible photon attenuation yield a normalized exponential depth model.

Three layer weights

fc=1−e−tc/Lfi=e−tc/L(1−e−ti/L)fs=e−(tc+ti)/L\begin{aligned}f_c&=1-e^{-t_c/L}\\f_i&=e^{-t_c/L}(1-e^{-t_i/L})\\f_s&=e^{-(t_c+t_i)/L}\end{aligned}

The cap, interfacial layer and substrate weights sum to one. These are known forward-model references, kept separate from fitted fractions.

Thicknesses from fitted areas

t^c=−Lassumedln⁡Ai+AsAc+Ai+Ast^i=Lassumedln⁡Ai+AsAs\begin{aligned}\widehat t_c&=-L_{\mathrm{assumed}}\ln\frac{A_i+A_s}{A_c+A_i+A_s}\\\widehat t_i&=L_{\mathrm{assumed}}\ln\frac{A_i+A_s}{A_s}\end{aligned}

Only acquired counts determine fitted areas. The inversion assumes all three states are sufficiently detected and the layer order and escape model are supplied.

Ideal 95% escape-weight depth

d95=−Lln⁡(0.05)d_{95}=-L\ln(0.05)

This quantile encloses 95% of the ideal semi-infinite exponential weight. Real information depth and effective attenuation length require a specified material, geometry and transport calculation.

Depth and count yield need separate axes

N∝τ λcos⁡θ (hν)−2.5N\propto\tau\,\lambda\cos\theta\,(h\nu)^{-2.5}

The photon-energy exponent is assumed here, with fixed photon flux. It illustrates the possibility of deeper weighting with lower counts, not a universal cross-section law.

Common difficulties

Harder does not guarantee more counts

Typical misconceptionA deeper probing photon must give a brighter buried-state peak.

Better mental modelDepth weighting and cross section compete. Compare normalized fractions separately from absolute acquired counts.

Depth inversion is conditional

Typical misconceptionThree peaks recover any unknown depth profile.

Better mental modelThis inverse uses a known three-layer order, equal density and a common escape length. Many real profiles violate those assumptions.

A length is not universally calibrated

Typical misconceptionThe power-law escape length is NIST material data.

Better mental modelIt is an invented teaching model. An inelastic mean free path, effective attenuation length and information depth are different quantities.

Run the experiment

  1. 01

    Predict the buried fraction

    Compare Soft X-rays and Infer buried layers at fixed specimen, exposure and analyzer settings.

    What to observe: The buried fraction increases with the assumed escape length; absolute counts can fall.
  2. 02

    Fit and invert

    Fit the curved continuum, choose sufficient exposure and supply the known teaching length model, then check the target.

    What to observe: The cap and interface estimates come from measured areas, not copied specimen dimensions.
  3. 03

    Change only the model

    Move the processing length multiplier after a successful acquisition.

    What to observe: Raw spectra and fitted areas stay fixed while both inferred thicknesses scale.
  4. 04

    Find the practical limit

    Use Deep cap, harder photons, Grazing emission and Counting-starved. Inspect individual peak areas.

    What to observe: Grazing emission reduces normal escape depth; missing components suppress the inversion.