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Beer–Lambert law
Absorbance, concentration or path length, with the linear range named
It runs entirely in this browser tab: the numbers you type are never uploaded, and the tool makes no network request while it works. Open your browser's network panel and try it — nothing leaves the page.
Settings
- Linear up to
- The absorbance above which your instrument's stray light matters more than the sample does. A number from 1 to 3.
How to use it
- Paste your text into the box above, or open a file.
- Adjust the settings beside it until the result is what you wanted.
- Copy the result, or save it as a file. The result updates as you type.
Questions
- Can I build from this?
- Not from this alone. The cable, beam and rainwater tools each say so on their own result: they are arithmetic, and what may be built is decided by the wiring, structural and water regulations where the work is — none of which this page has read.
- Why does a tool refuse a number it could clearly calculate?
- Because several of these formulas are fits rather than laws. Wind chill is defined at 10 °C or colder in a wind over 4.8 km/h, the heat index from 27 °C up, and the barometric formula to the top of the troposphere. Outside those the arithmetic still runs and the answer means nothing, so the tool says which rather than printing it.
- Does anything here use floating point?
- No. Every figure is exact decimal arithmetic, which is why 0.1 + 0.2 is 0.3 here and a unit conversion comes back to where it started. The one place a ceiling exists — how many digits an exponent may carry — is stated rather than reached silently.
- Is what I type uploaded anywhere?
- No. This page carries the whole tool as WebAssembly and runs it on your own device. A measurement is somebody's experiment and a load is somebody's building; none of it is sent anywhere.
Other tools for in the laboratory
Half-life
What is left after a time, or how long since there was more, with the mean life too
Crystal unit cell
The density a lattice gives, with the atoms per cell and the packing that follow from it
Error propagation
What the uncertainties of the inputs do to the answer, and which one dominates
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