Directions
Details
About
Spectral Weighted Intensity
Other Calculators
Directions

Directions for Use
This interactive tool allows you to explore how light absorption by a photochemical material depends on wavelength, depth, and chromophore concentration. Follow these steps to investigate the fundamentals of photochemistry:

  1. Select a light source: Choose from LED (Gaussian), Arc Lamp, or upload a custom spectrum. Observe how different spectral shapes influence absorption.
  2. Adjust LED parameters (if applicable): Modify the LED peak wavelength and FWHM to see how the position and width of the spectrum affect photon absorption.
  3. Choose or upload an absorbance spectrum: Pick a predefined photoinitiator (e.g., TPO, Irgacure 907) or provide a custom spectrum. The absorbance spectrum determines how efficiently each wavelength is absorbed.
  4. Set material properties: Use the sliders to adjust chromophore concentration (mM) and sample thickness (µm). These parameters directly affect the fraction of light absorbed.
  5. Interpret the curves:
    • Incident light: The initial light intensity as a function of wavelength.
    • Absorbance: Napierian absorptivity spectrum of the chromophore.
    • Incident absorbed photons: Product of incident light and absorptivity at the surface.
    • Attenuated light: Light remaining after passing through the material at the chosen depth.
    • Attenuated absorbed photons: Light absorbed at the selected depth; the integral of this curve quantifies photons available for primary photochemical reactions.
  6. Compare scenarios: Vary the light source, concentration, and depth to see how these factors influence photon absorption and the availability of light for photochemical processes.
  7. Remember limitations: This tool shows absorption trends and relative photon availability. It does not account for quantum yield, photobleaching, or secondary reactions. Focus on the primary absorption events.

Use these directions to explore fundamental principles of light-matter interactions and understand how photochemical reactions are initiated by absorbed photons.

Details
Light Absorption Fundamentals
This tool illustrates how light is absorbed by a material containing a chromophore (e.g., photoinitiator) with a given concentration and thickness. For a single wavelength, absorption follows the Beer–Lambert law: $$ \frac{dI}{dz} = -I \, \varepsilon(\lambda) \, [C] $$ $$ I(z, \lambda) = I_0(\lambda) \, \exp\big(-\varepsilon(\lambda) \, [C] \, z \big) $$ \( I_0(\lambda) \) – incident light intensity at wavelength \( \lambda \)
\( I(z, \lambda) \) – light intensity at depth \( z \)
\( \varepsilon(\lambda) \) – Napierian molar absorptivity \((\text{L/mol·cm})\)
\( [C] \) – chromophore concentration \((\text{mM})\)
\( z \) – material depth \((\mu\text{m})\)

Light source spectra
The tool allows exploration of different light sources:

1) LED (Gaussian): $$ I_0(\lambda) = A \exp\Big[-\frac{(\lambda - \lambda_\text{center})^2}{2 \sigma^2}\Big] $$
\( A \) – peak intensity (arbitrary units)
\( \lambda_\text{center} \) – LED peak wavelength (nm)
\( \sigma = \text{FWHM}/2.35482 \) – standard deviation of Gaussian (nm)

2) Mercury arc lamp (EFOS Acticure A4000 with 400-500 nm filter)
3) Custom Spectrum: User-provided spectral shape

Photochemical relevance of absorbed photons
The number of photons absorbed at a given depth is: $$ I_\text{abs}(\lambda) = I_0(\lambda) - I(z, \lambda) $$ For a polychromatic light source, the total absorption is the **sum over all wavelengths**: $$ \text{Total absorbed photons} = \int I_\text{abs}(\lambda) \, d\lambda $$ This quantity is directly related to primary photochemical processes*, such as photoinitiator activation, because it represents the photons available to drive reactions.
*Neglects quantum yield, secondary reactions, diffusion, and photobleaching.

Adjustable parameters
Depth (\( \mu\text{m} \)) – thickness of the material
Concentration (\( \text{mM} \)) – chromophore density
LED Center & FWHM – shape of the Gaussian light source (nm)
Light source type – LED, Hg Arc Lamp, or Custom
Absorber spectrum – predefined or user-provided

About

This simulation was created in the Department of Chemical and Biological Engineering at University of Colorado Boulder for LearnChemE.com by Alexander Osterbaan under the direction of Professor John L. Falconer and Professor Christopher N. Bowman. Address any questions or comments to LearnChemE@gmail.com.

Other Calculators

This section provides additional calculators useful for exploring photochemistry and light-matter interactions:

  • Monochromatic Calculator: Analyze the simplest case with a single wavelength. Includes calculators for Napierian absorptivity, absorbance, and effective half-life at a given concentration and pathlength.
  • Multiwavelength Calculator: Extend analysis to polychromatic light sources. Compute wavelength-dependent absorption, incident and absorbed photons, and explore effects of spectral shape on photochemical processes.
  • Broadband Calculator: Model real-world sources with broad spectral distributions. Allows integration over the full spectrum to quantify total absorbed photons and compare different light sources.

These calculators build on each other sequentially: start with the simple monochromatic case, then progress to multiwavelength, and finally broadband analysis for more realistic scenarios.

Other Calculators

Spectral Weighted Intensity
This module estimates a monochromatic-equivalent intensity — not the real measured intensity — that would produce the same total photon absorption in a material as the actual broadband light source. It converts a measured total irradiance into an effective wavelength-specific value \( I_\text{target} \) (mW/cm²), as if all absorbed photons came from a single wavelength \( \lambda_0 \).

Purpose
Light sources emit over broad spectral ranges, and both detectors and materials respond differently with wavelength. The Spectral Weighted Intensity bridges that gap by estimating the equivalent monochromatic light intensity that would deposit the same number of absorbed photons as the broadband source. It accounts for:
1) the lamp’s emission spectrum \( I(\lambda) \),
2) the detector’s photon or energy response, and
3) the material’s wavelength-dependent absorptivity \( \varepsilon(\lambda) \).

Concept
The measured total irradiance \( mInt \) represents light distributed across wavelengths. The model applies a spectral correction factor to convert this broadband value into an equivalent monochromatic intensity at \( \lambda_0 \):

\( I_\text{target} = mInt \times f_\text{intensity}(\lambda_0) \times f_\text{absorbance}(\lambda_0) \)
Here, \( I_\text{target} \) is not the real irradiance at that wavelength, but the single-wavelength intensity that would yield the same total photon absorption rate in the sample.

1) Intensity Correction
The correction depends on whether the detector measures photon flux or energy flux:

(a) Photon-counting detector (e.g., photodiode):
Photodiodes respond to the number of incident photons, not their energy. Each absorbed photon ideally produces a single electron–hole pair, so the current is proportional to photon flux \( \Phi(\lambda) = I(\lambda) \, \lambda / hc \). Because longer wavelengths carry less energy per photon, the same optical power produces more photons at longer wavelengths. The appropriate correction therefore weights by \( 1/\lambda \):
\( f_\text{intensity}(\lambda_0) = \lambda_0 \frac{\displaystyle \int I(\lambda)/\lambda \, d\lambda} {\displaystyle \int I(\lambda) \, d\lambda} \)
(b) Energy-measuring detector (thermal, thermopile, bolometer):
Thermal sensors respond to the total absorbed energy as heat, regardless of photon energy. They integrate power directly across wavelengths, giving an effectively flat spectral response (neglecting coating reflectivity). Hence no photon weighting is required:
\( f_\text{intensity}(\lambda_0) = 1 \)
Justification for separate cases:
Photodiodes and thermal sensors fundamentally measure different physical quantities. A photodiode converts photon number to current (A ∝ photons/s), while a thermal detector converts energy flux to temperature rise (W/cm²). Because the photon energy \( E_\text{photon} = hc/\lambda \) decreases with wavelength, a broadband lamp will appear relatively stronger to a photodiode than to a thermal sensor at longer wavelengths. The model therefore applies distinct spectral corrections consistent with each detector’s underlying physics.

When intensity correction matters most:
For smooth, narrow spectra (e.g., a narrow LED), this correction has only a minor effect. However, for multi-peaked or discontinuous spectra — such as the mercury arc lamp, which emits sharp lines at 405, 436, 546 nm, etc. — the relative photon weighting can shift the effective intensity substantially. In such cases, the correction is critical for meaningful comparison between detectors or for matching experimental and simulated photon absorption.

Note: This neglects the wavelength-dependent quantum yield (responsivity) of the detector, which in practice can be significant. However, such data are rarely accessible, so a flat responsivity is assumed for simplicity.

2) Absorbance Correction
Two spectra with the same total irradiance can drive different absorption rates depending on how light overlaps the material’s absorbance. This correction compares the absorbed photon flux for the actual spectrum versus a narrow monochromatic source:
\( f_\text{absorbance}(\lambda_0) = \frac{ \displaystyle \int I(\lambda)\,\varepsilon(\lambda)\,d\lambda }{ \displaystyle \int G_{\lambda_0}(\lambda)\,\varepsilon(\lambda)\,d\lambda } \)
where \( G_{\lambda_0}(\lambda) \) is a narrow Gaussian (FWHM ≈ 0.1 nm) centered at \( \lambda_0 \).

Result
The Spectral Weighted Intensity is:
\( I_\text{target}(\lambda_0) = mInt \times \lambda_0 \frac{\displaystyle \int I(\lambda)/\lambda \, d\lambda}{\displaystyle \int I(\lambda)\,d\lambda} \times \frac{ \displaystyle \int I(\lambda)\,\varepsilon(\lambda)\,d\lambda }{ \displaystyle \int G_{\lambda_0}(\lambda)\,\varepsilon(\lambda)\,d\lambda } \)
This represents the monochromatic-equivalent intensity that would produce the same total photon absorption in the material as the real broadband source. It should never be interpreted as the actual irradiance at that wavelength, but rather as a modeling construct useful for comparing spectral power distributions on an equivalent photon-absorption basis.

Adjustable Parameters
Measured Intensity (\( mInt \)) – total irradiance from experiment or datasheet (mW/cm²)
Target Wavelength (\( \lambda_0 \)) – wavelength of interest (nm)
Detector Type – photon-counting (photodiode) or energy-measuring (thermal)
Light Source Spectrum – user-defined emission shape \( I(\lambda) \)
Absorbance Spectrum – material-specific molar absorptivity \( \varepsilon(\lambda) \)