Loading observation_sim/psf/_util.py +13 −5 Original line number Diff line number Diff line Loading @@ -42,14 +42,22 @@ def psf_extrapolate(psf, rr_trim=64, ngg=256): psf_temp[rim > rr_trim] = 0 radii, means = radial_average_at_pixel(psf_temp, 128, 128, dr=4) radii_log = np.log(radii[1:]) means_log = np.log(means[1:]) radii_fit = np.asarray(radii[1:], dtype=float) means_fit = np.asarray(means[1:], dtype=float) valid = ( np.isfinite(radii_fit) & np.isfinite(means_fit) & (radii_fit > 0) & (means_fit > 0) ) radii_log = np.log(radii_fit[valid]) means_log = np.log(means_fit[valid]) finite_mask = np.isfinite(means_log) f_interp = interp1d( radii_log[finite_mask][:-1], means_log[finite_mask][:-1], radii_log, means_log, kind="linear", bounds_error=False, fill_value="extrapolate", ) Loading Loading
observation_sim/psf/_util.py +13 −5 Original line number Diff line number Diff line Loading @@ -42,14 +42,22 @@ def psf_extrapolate(psf, rr_trim=64, ngg=256): psf_temp[rim > rr_trim] = 0 radii, means = radial_average_at_pixel(psf_temp, 128, 128, dr=4) radii_log = np.log(radii[1:]) means_log = np.log(means[1:]) radii_fit = np.asarray(radii[1:], dtype=float) means_fit = np.asarray(means[1:], dtype=float) valid = ( np.isfinite(radii_fit) & np.isfinite(means_fit) & (radii_fit > 0) & (means_fit > 0) ) radii_log = np.log(radii_fit[valid]) means_log = np.log(means_fit[valid]) finite_mask = np.isfinite(means_log) f_interp = interp1d( radii_log[finite_mask][:-1], means_log[finite_mask][:-1], radii_log, means_log, kind="linear", bounds_error=False, fill_value="extrapolate", ) Loading