Spectrum Calculator: Description and User Manual Overview The Spectrum Calculator is a Python desktop application designed for spectral analysis and visualization. This tool allows users to load, analyze, and visualize spectral data with features for scientific and technical research. Key Features The application provides the following core functionalities: Load spectral data from text or CSV files Calculate and display spectral power distribution Compute key optical metrics including: Total Power Density Illuminance Color Temperature Photon Flux Overlay and compare multiple spectra Generate blackbody radiation spectra Save results and graphs Interactive, dual-axis graphing User Manual Getting Started Launching the Application Run the Python script The Spectrum Calculator window will open, displaying an empty graph and control panel Loading a Spectrum Click the "Load Spectrum" button Select a spectrum data file (text or CSV) File must contain two columns: wavelength (nm) and power density Wavelengths should be in ascending order, typically ranging from 360-830 nm Interpreting the Graph Blue Line: Power Density (mW/cm²/nm) Red Line: Lux Contribution (lux/nm) X-axis: Wavelength (nm) Left Y-axis (blue): Power Density scale Right Y-axis (red): Lux Contribution scale Additional Features Blackbody Spectrum Overlay Enter a temperature (in Kelvin) in the "Enter Temp (K)" field Click "Overlay Blackbody" A dashed line representing the blackbody spectrum will be added to the graph Photon Flux and Total Power Density Recalculation Enter a desired photon flux value in the "Enter Photon Flux" field or in the Enter Total PD field Click "Recalculate" The spectrum will be scaled to match the new photon flux or total power density Saving Results Save Results Saves spectral data as a CSV file Includes wavelength, power density, and lux contribution Save Graph and Results Saves the graph as an image (PNG/JPEG) Simultaneously saves the spectral data as a CSV Clearing the Plot Use the "Clear" button to reset the graph and clear all current data Technical Details Metrics Calculated Total Power Density: Integrated power across the spectrum (mW/cm²) Illuminance: Total luminous flux per unit area (lux) Color Temperature: Correlated Color Temperature (CCT) in Kelvin Photon Flux: Total photons per square meter per second Calculation Methods Photopic Luminosity Function from 360-830 nm CIE 1931 Color Matching Functions McCamy's formula for Color Temperature Planck's Law for Blackbody Radiation Recommended Use Spectral analysis in photonics Lighting research Optical engineering Color science studies Limitations Assumes photopic (daytime) vision response Accuracy depends on input spectral data quality Limited to visible and near-visible spectrum Release note version 6.4: automatic sorting of the wavelength to avoid an error message when the data aren't organised by ascending order. Note: This description was written by an AI.