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Sandbox Physics

E54 · Photoelectron spectroscopy

Spin ARPES: Polarization & Counting

When reversing a spin detector's magnetization changes the count, is that spin or unequal photon flux? It can be either, because unequal flux can fake a spin signal. First divide each count by its own flux monitor reading. Then the asymmetry divided by the detector's Sherman factor, a measure of its spin sensitivity, gives the spin polarization. Keep the energy window narrow: a wide one can mix opposite spins and cancel the polarization.

Measure the same photoelectrons with a VLEED target magnetized one way and then the other. Correct each count with its own flux monitor, divide by the supplied Sherman factor and compare the two momentum branches with their counting errors. Widen the energy gate to see opposite spins mix.

Interactive modelSpin ARPES: Polarization & Counting
Left branch: measured polarization—\text{—}
Right branch: measured polarization—\text{—}
Left / right counting standard errors—\text{—}
Recorded spin counts · complete scan—\text{—}
More measurements and target
Instrument Gaussian-equivalent FWHM—\text{—}
Known gate-averaged left / right spin—\text{—}
Assumed reflected count efficiency—\text{—}
True detector figure of merit—\text{—}
Serial scan time · 81 angle bins—\text{—}
Selected gate edges from Fermi level—\text{—}
Experiment target—\text{—}

Physics tutorial

A spin filter spends counts to measure a component

BackgroundWhen electrons scatter off a magnetized target, the exchange interaction gives opposite spin projections different scattering probabilities. Reversing the target's magnetization measures the same electron state twice.

Why it mattersA difference in counts can also come from unequal photon flux. Dividing a small asymmetry by the Sherman factor magnifies the spin signal and the statistical noise alike.

Start with the essentials

Focus question
Does the count asymmetry come from spin or from unequal flux?
One-sentence intuition
Divide each reversal by its own recorded monitor before turning the asymmetry into a polarization. A broad energy gate can cancel opposite spins even when the peaks are bright.

Core mathematical model

Polarization from monitor-normalized counts

P=1SN+/M+−N−/M−N+/M++N−/M−P=\frac{1}{S}\frac{N_+/M_+-N_-/M_-}{N_+/M_++N_-/M_-}

The two magnetizations use the same detector, and the monitors measure how much incident flux each one received.

Counting error with equal flux

σP≃1−(SP)2SN++N−\sigma_P\simeq\frac{\sqrt{1-(SP)^2}}{S\sqrt{N_++N_-}}

This simplified limit ignores monitor noise; the error propagation in the Lab includes it.

Detector figure of merit

FOM=ηS2\mathrm{FOM}=\eta S^2

An assumed reflectivity of 0.10 and a true Sherman coefficient of 0.30 give a figure of merit of 0.009.

Common difficulties

An asymmetry is not yet a polarization

Typical misconceptionThe difference in counts is the polarization.

Better mental modelFirst correct for unequal flux, then divide by a calibrated Sherman factor.

Small error bars do not rule out bias

Typical misconceptionIf the statistical error is small, there is no systematic bias.

Better mental modelErrors in the monitors and in the Sherman calibration can outweigh counting noise, and only the counting part is reported here.

Run the experiment

  1. 01

    Predict a false spin signal

    Choose Unequal flux without correction and look at the raw counts for the two reversals.

    What to observe: One branch gives an unphysical polarization, even though the counts look precise.
  2. 02

    Correct the flux, then calibrate

    Turn on Normalize each reversal by its monitor and press Check target. Then change only the Supplied Sherman calibration.

    What to observe: Normalization removes the flux bias that was added. The calibration rescales the polarization and its error without changing the recorded counts.
  3. 03

    Rotate the axis or mix the branches

    Change the Spin projection axis rotation, choose Mix both energy branches, then reduce the exposure.

    What to observe: Projecting onto a perpendicular axis, or mixing the two branches, cancels the measured component. Fewer counts give a larger statistical error.
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