flat_normalize_easyspec¶

Flat-field correct a science frame via cleaning.flatten.

Parameters¶

Use it¶

from spectro_kernel import run_algorithm

output = run_algorithm("flat_normalize_easyspec", ctx, {
    "target_path": None,
    "master_flat_path": None,
    "auto_normalise": True
})

spectro run flat_normalize_easyspec --input spectrum.fits \
  --param target_path=none \
  --param master_flat_path=none \
  --param auto_normalise=true

{
  "tool": "flat_normalize_easyspec",
  "arguments": {
    "session_id": "<session_id>",
    "params": {
      "target_path": null,
      "master_flat_path": null,
      "auto_normalise": true
    }
  }
}

References¶

• easyspec.cleaning.cleaning.flatten.

Related algorithms¶

• correct_slant_affine - Make monochromatic lines parallel to the rows by a horizontal shear.
• correct_smile_polynomial - Undo smile curvature via the Schroeder even-order expansion.
• correct_tilt_affine - Re-align the slit with the detector columns by a vertical shear.
• dark_subtract - Subtract a master dark from ctx.image.
• denoise_gaussian_2d - Separable isotropic Gaussian smoothing of ctx.image.
• denoise_median_2d - Square median filter over ctx.image, optionally banded by rows.
• flat_normalize - Divide ctx.image by a master flat normalised to unity.
• outlier_rejection_mad_adaptive - Replace pixels whose deviation from a local median exceeds threshold·MAD.
• subtract_bias_easyspec - Subtract a master bias from a single science frame via cleaning.debias.
• subtract_dark_easyspec - Subtract a master dark from a science frame via cleaning.sub_dark.
• subtract_sky_2d - Subtract a per-column sky model fitted from off-trace rows of ctx.image.