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shape, numbasis, planet_sep, planet_pa, calibrated_PSF_model, np. # The forward model class # fm_class = ExtractSpec ( dataset. Spectrum in contrast units relative to the star. This is your model_psf for generating the forward model and will return the spot_flux ) // nl, nl ), axis = 0 ) calibfactor = aper_over_peak_ratio * spot_peak_spectrum / spot_to_star_ratio # calibrated_PSF_model is the stellar flux in counts for each wavelength calibrated_PSF_model = PSF_cube * calibfactor

split ( '_' ) spot_to_star_ratio = dataset. nanmax ( PSF_cube, axis = ( 1, 2 )) # Now divide the sum by the peak for each wavelength slice aper_over_peak_ratio = model_psf_sum / model_psf_peak # star-to-spot calibration factor band = dataset. nansum ( PSF_cube, axis = ( 1, 2 )) model_psf_peak = np.

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In some cases, a small amount of clipping may be tolerable, especially when the clipped area is in the background of the image rather than part of the main subject, or is only a very small area such as a specular highlight (where a light, or the sun, is reflected in a shiny object).# First set up a PSF model and sums - this is necessary for GPI because # dataset.spot_flux contains peak values of the satellite spots and we # have to correct for the full aperture. This causes blown-out highlights to appear differently in analog and digital photography, with the smooth edges in analog photography regarded as more pleasant to some. The clipped area will typically be completely white, though in the case that only one color channel has clipped, it may represent itself as an area of distorted color, such as an area of sky that is greener or yellower than it should be.ДЄ similar effect also exists in analog photography, though in that case it is not referred to as clipping, and the blown-out area often curves off gently to its maximum brightness rather than being cut off abruptly as in clipping. In extreme cases, the clipped area may appear to have a noticeable border between the clipped and non-clipped area.

Increasing an exposure increases the amount of light collected or the sensitivity of the sensor, and increasing it too far will cause the lightest areas, such as the sky, or light sources, to clip.Д«right areas due to overexposure are sometimes called blown-out highlights. Clipping that is due to internal image processing in a digital camera may often be partially or fully recovered if the raw sensor data is available, such as when saving to a raw image format.Д¬lipping can often occur in image highlights as a result of an incorrect exposure when initially photographing or scanning to a digital image.

It may also result from later image processing using image editing software. It may occur due to internal image processing or color space conversion in the camera or scanner. It may occur in the image sensor when initially capturing the image using a digital camera or scanner. In a color image, clipping may occur in any of the image's color channels separately.Д¬lipping can occur at many different stages. The amount by which values were clipped, and the extent of the clipped area, affect the degree to which the clipping is visually noticeable or undesirable in the resulting image. The clipped area of the image will typically appear as a uniform area of the minimum or maximum brightness, losing any image detail. It is an instance of signal clipping in the image domain. In digital photography and digital video, clipping is a result of capturing or processing an image where the intensity in a certain area falls outside the minimum and maximum intensity which can be represented. Top: original image, bottom: blown-out areas marked red Example image exhibiting blown-out highlights.

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