Predict the cosmological redshift of astronomical objects using SDSS photometric band magnitudes via Multiple Linear Regression.
Step 01 — Object Classification
Step 02 — SDSS Photometric Bands (magnitude)
10 – 30 per band
10 – 30
10 – 30
10 – 30
10 – 30
10 – 30
Predicted Redshift (z)
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dimensionless · cosmological redshift
95% Prediction Interval± 1.96 × RMSE (approx.)
Lower
—
—Predicted z—
Upper
—
Width: —
Class
—
Model R²
—
RMSE
—
Model Equation
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✦ Redshift Simulation
① Doppler Colour Shift — Interactive
Drag the slider to explore z around your predicted value.
The strip shows the physical Hα wavelength colour with contrast-enhanced brightness —
the swatch shows the true colour. Lighter = shorter wavelength, darker = longer.
H-α colour
Redshift z
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Observed λ (Hα)
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Spectral Region
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Wavelength Shift
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▲ Predicted z = —
z = 0z = 5
Key emission lines at current z
② SED Profile — Your Object Photometry
Spectral Energy Distribution across 5 SDSS bands. Lower magnitude = brighter.