normalize_max¶

Normalise a spectrum by dividing the flux by its maximum value.

Parameters¶

This algorithm takes no parameters.

Use it¶

from spectro_kernel import run_algorithm

output = run_algorithm("normalize_max", ctx, {})

spectro run normalize_max --input spectrum.fits

{
  "tool": "normalize_max",
  "arguments": {
    "session_id": "<session_id>",
    "params": {}
  }
}

References¶

• Gray 2005, The Observation and Analysis of Stellar Photospheres, 3rd ed., Cambridge UP — ch. 12, continuum placement (the peak flux as the crudest continuum proxy).
• Tody 1986, Proc. SPIE 627, 733 — the IRAF data reduction and analysis system (reference implementation of spectrum normalisation tasks).

Related algorithms¶

• compare_normalisations - Run every continuum-normalisation method on ctx.spectrum and collect them.
• normalize_edges - Normalise a spectrum using a continuum fitted only on its line-free edges.
• normalize_percentile - Normalise a spectrum by dividing the flux by a high percentile of itself.
• normalize_polynomial - Normalise the continuum to unity with a sigma-clipped polynomial fit.
• normalize_to_region - Divide the flux by its NaN-safe mean over [wave_lo, wave_hi].
• subtract_continuum - Subtract a sigma-clipped polynomial continuum, leaving the line residual.