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University Physics IV · topic UPIV-04.02

Radiation pressure, photon flux, and counting statistics

Connect the ideas, make your working visible, and test the result. Use the hints when you need a starting point; open the full solution after your attempt.

Further practice

Work through a fresh case before tackling the extension.

Further practice · 01

Radiation pressure and photon flux: predict a finite change

Radiation pressure is the momentum a beam delivers per second per unit area of surface — I/c when the surface absorbs the light head-on, 2I/c when it reflects it, and (1 + r)I cos²θ/c in general. Use the supplied topic model Y_out = 100/sqrt(max(2.6782*w*cosd(th),1)), where Y_out is SHOT NOISE 1/√N (%). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sqrt(x) means √x; max(a,b) selects the larger value; sind/cosd/tand use degrees. th is Incidence angle θ from normal, measured in °. Keep w (Beam intensity I) = 1360 W/m²; r (Power reflectance r) = 1 fixed. For this exercise use only 8.5 ° ≤ th ≤ 71.5 ° on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. Calculate Y_out at th = 22.36 ° and 31.18 °. Find the signed output change ΔY_out and the average sensitivity ΔY_out/Δth across this interval. State whether the response increases or decreases; distinguish this interval average from a derivative at one point.

Explore the question data

SHOT NOISE 1/√N against th

Predictions from the supplied Radiation pressure and photon flux model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): SHOT NOISE 1/√N / %

SHOT NOISE 1/√N against thPredictions from the supplied Radiation pressure and photon flux model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: th: Incidence angle θ from normal / °. Vertical axis: SHOT NOISE 1/√N / %. Exact values are available in the data table below.1.6151.9592.3042.6482.9935.9822.994057.0174.02xy

Horizontal axis (x): th: Incidence angle θ from normal / °

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1th: Incidence angle θ from normal / °: 8.5SHOT NOISE 1/√N / %: 1.666
Read the exact data as a table
SHOT NOISE 1/√N against th — supplied values
th: Incidence angle θ from normal / °SHOT NOISE 1/√N / %
8.51.6661243601839753
24.251.735274914702826
401.8931370703716506
55.752.2086662623158344
71.52.9415133264013904

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

Substitute each value of th separately while keeping every other input fixed, then subtract in the same order.

Reveal the worked solution
  1. At th = 22.36 °, substitute into Y_out = 100/sqrt(max(2.6782*w*cosd(th),1)): Y₀ = 1.72299 %.
  2. At th = 31.18 °, the same fixed-parameter model gives Y₁ = 1.79138 %.
  3. Signed change: ΔY_out = Y₁ − Y₀ = 0.0683911 %; the input change is Δth = 8.82 °.
  4. Average sensitivity is ΔY_out/Δth = 0.0077541 % per °. Its positive sign means that this response increases over the specified interval.
  5. This is a secant slope between two settings. It equals a point derivative only for a locally linear relation or in a justified small-interval limit.

Answer Y₀ = 1.72299 %, Y₁ = 1.79138 %; ΔY_out = 0.0683911 %; average sensitivity = 0.0077541 % per °.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.

Extra challenging questions

Work through the linked stages and explain what each result means.

Extra challenging · 01

Radiation pressure and photon flux: infer an input with uncertainty

Radiation pressure is the momentum a beam delivers per second per unit area of surface — I/c when the surface absorbs the light head-on, 2I/c when it reflects it, and (1 + r)I cos²θ/c in general. Use the supplied topic model Y_out = 100/sqrt(max(2.6782*w*cosd(th),1)), where Y_out is SHOT NOISE 1/√N (%). The output symbol Y_out is distinct from all input symbols. ^ denotes a power; π = 3.141592653589793; sqrt(x) means √x; max(a,b) selects the larger value; sind/cosd/tand use degrees. th is Incidence angle θ from normal, measured in °. Keep w (Beam intensity I) = 1360 W/m²; r (Power reflectance r) = 1 fixed. For this exercise use only 8.5 ° ≤ th ≤ 71.5 ° on this continuous branch. A grid of test settings is an input restriction for this exercise, not by itself a claim of physical quantisation. This calculation retains the topic model's stated assumptions; it does not extend them to a different physical setup. A reading gives Y_out = 2.005087 %, with a bounded reading uncertainty ±0.050844 %. Treat the model and all fixed inputs as exact for this exercise; the bound is not a standard deviation. First estimate the unknown th by straight-line interpolation between the two endpoint predictions. Then solve the actual model on the stated branch to an absolute input tolerance of 0.0063 °, using a numerical bracket if required. Find the full input interval consistent with the bounded reading uncertainty and compare it with a symmetric input-error assumption. Do not assume that the supplied calibration points prove monotonicity outside this branch.

Explore the question data

SHOT NOISE 1/√N against th

Predictions from the supplied Radiation pressure and photon flux model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law.

Vertical axis (y): SHOT NOISE 1/√N / %

SHOT NOISE 1/√N against thPredictions from the supplied Radiation pressure and photon flux model, with all other inputs fixed as stated in the question. 5 calibration points support a trend comparison; they are not measured data or a straight-line law. Horizontal axis: th: Incidence angle θ from normal / °. Vertical axis: SHOT NOISE 1/√N / %. Exact values are available in the data table below.1.6151.9592.3042.6482.9935.9822.994057.0174.02xy

Horizontal axis (x): th: Incidence angle θ from normal / °

Axes show the supplied calibration interval; the origin may lie outside the plot.

Reading 1th: Incidence angle θ from normal / °: 8.5SHOT NOISE 1/√N / %: 1.666
Read the exact data as a table
SHOT NOISE 1/√N against th — supplied values
th: Incidence angle θ from normal / °SHOT NOISE 1/√N / %
8.51.6661243601839753
24.251.735274914702826
401.8931370703716506
55.752.2086662623158344
71.52.9415133264013904

These are the supplied values, not a worked answer. No fitted trend is drawn.

Show a hint

The model's endpoint predictions bracket the reading. Solve Y_out(th) = Y_measured and then solve again at Y_measured − u and Y_measured + u; a nonlinear inverse can give unequal input deviations.

Reveal the worked solution
  1. Endpoint predictions are Y_out(8.5) = 1.66612 % and Y_out(71.5) = 2.94151 %. The target lies between them. On the selected branch the response is strictly increasing.
  2. Endpoint interpolation gives th_line = 8.5 + (2.00509 − 1.66612)(71.5 − 8.5)/(2.94151 − 1.66612) = 25.2436 °. This estimates the inverse of the endpoint chord, rather than assuming that chord is the physical model.
  3. Use the actual equation, not the chord, and bracket its root. Evaluating the midpoint and retaining the sign-changing half-interval gives th = 46.93 °; substituting back gives Y_out = 2.005087 %.
  4. The interpolation error in the input is |th_line − th| = 21.6864 °. This is larger than the requested numerical tolerance.
  5. Invert both limits Y_out = 1.954243 % and 2.055931 %. Sort the roots even if the response decreases: 44.0373 ° ≤ th ≤ 49.4936 °.
  6. The lower and upper input deviations are 2.89271 ° and 2.56362 °. They differ because the inverse response is nonlinear; a symmetric error bar would only be a local approximation. This interval includes reading uncertainty only, not model error or uncertainty in fixed inputs.

Answer th ≈ 46.93 °; compatible interval [44.0373, 49.4936] °. Endpoint interpolation gives 25.2436 °.

Compare the assumptions, method and units with your attempt. Explain any correction before trying another question.