Example #1
0
def fit_ohlines_pixel(s_list, ref_pixel_list):

    fit_results = reidentify_lines_all(s_list, ref_pixel_list,
                                       sol_list_transform=None)

    # extract centroids from the fit
    fitted_positions = []
    for results_, dpix_list in fit_results:

        positions = [sol_[0][0] + dpix for sol_, dpix in \
                     zip(results_, dpix_list)]

        # reidentified_lines.append((np.concatenate(fitted_positions),
        #                            np.concatenate(ref_wvl)))

        fitted_positions.append(np.array(map(np.mean, positions)))

    return fitted_positions
Example #2
0
def fit_ohlines_pixel(s_list, ref_pixel_list):

    fit_results = reidentify_lines_all(s_list,
                                       ref_pixel_list,
                                       sol_list_transform=None)

    # extract centroids from the fit
    fitted_positions = []
    for results_, dpix_list in fit_results:

        positions = [sol_[0][0] + dpix for sol_, dpix in \
                     zip(results_, dpix_list)]

        # reidentified_lines.append((np.concatenate(fitted_positions),
        #                            np.concatenate(ref_wvl)))

        fitted_positions.append(np.array(map(np.mean, positions)))

    return fitted_positions
Example #3
0
def fit_ohlines_parameters(ohlines, line_indices_list,
                           orders_w_solution, wvl_solutions, s_list,
                           nan_for_bad_fits=True):

    ref_wvl_list, ref_pixel_list = \
                  get_ref_list(ohlines, line_indices_list,
                               orders_w_solution, wvl_solutions,
                               s_list)

    fit_results = reidentify_lines_all(s_list, ref_pixel_list,
                                       sol_list_transform=None)


    # check fit status and replace with nan when fit is not successful.
    if nan_for_bad_fits:
        for r in fit_results:
            for r1 in r[0]:
                if r1[2] < 0:
                    r1[0][:] = np.nan

    return ref_wvl_list, ref_pixel_list, fit_results
Example #4
0
def fit_ohlines_parameters(ohlines,
                           line_indices_list,
                           orders_w_solution,
                           wvl_solutions,
                           s_list,
                           nan_for_bad_fits=True):

    ref_wvl_list, ref_pixel_list = \
            get_ref_list(ohlines, line_indices_list,
                         orders_w_solution, wvl_solutions,
                         s_list)

    fit_results = reidentify_lines_all(s_list,
                                       ref_pixel_list,
                                       sol_list_transform=None)

    # check fit status and replace with nan when fit is not successful.
    if nan_for_bad_fits:
        for r in fit_results:
            for r1 in r[0]:
                if r1[2] < 0:
                    r1[0][:] = np.nan

    return ref_wvl_list, ref_pixel_list, fit_results