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auto-selfcal 2.0.0
User-Guide
Installation
Preparing your data
Running auto_selfcal
Examining the results
API
Top Level API
applycal_to_orig_MSes
auto_selfcal
regenerate_weblog
split_calibrated_final
uvcontsub_orig_MSes
auto_selfcal.selfcal_helpers
LSRKfreq_to_chan
check_image_nterms
check_mosaic
check_narrow_window_flagging
check_spectral_gain_gradient
check_spw_widest_in_bb
checkmask
chi2_spectral_phase_per_soln
collect_listobs_per_vis
compare_beams
create_noise_histogram
create_noise_histogram_plots
estimate_SNR
estimate_near_field_SNR
evaluate_per_spw_gaintables
fetch_scan_times_band_aware
fetch_spws
fetch_targets
find_matching_spw
flag_spectral_lines
flagchannels_from_contdotdat
gaussian_norm
get_ALMA_band_string
get_SNR_self
get_SNR_self_individual
get_SNR_self_update
get_SNR_self_update_old
get_ant_list
get_bands
get_basebands
get_baseline_dist
get_desired_width
get_dr_correction
get_fitspw_dict
get_flagged_solns_per_ant
get_flagged_solns_per_ant_from_dict
get_flagged_solns_per_spw
get_flagging_baseline
get_gaintable_flagging_stats
get_image_parameters
get_intflux
get_max_uvdist
get_mean_freq
get_min_SNR_spw
get_n_ants
get_nearest_wide_bw_spw
get_phasecenter
get_reffreq
get_sensitivity
get_solints_simple
get_sols_flagged_solns
get_spw_bandwidth
get_spw_chanavg
get_spw_chanwidths
get_spw_eff_bandwidth
get_spw_map
get_spwnum_refvis
get_telescope
get_uv_range
importdata
is_iterable
largest_prime_factor
make_distance_time_phaseerr_plots
parse_contdotdat
plot_amp_err
plot_ants_flagging_colored
plot_ants_flagging_colored_from_dict
plot_image
plot_phase_err
plot_spectral_amp
plot_spectral_phase
plot_spectral_phase_per_soln
plotcals
rank_refants
remove_modes
sanitize_string
select_best_gaincal_mode
split_to_selfcal_ms
tclean_wrapper
test_truncated_scans
triage_calibrators
unflag_failed_antennas
usermodel_wrapper
zero_out_gc_return_dict
Repository
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.rst
.pdf
create_noise_histogram
Contents
create_noise_histogram()
create_noise_histogram
#
auto_selfcal.selfcal_helpers.
create_noise_histogram
(
imagename
)
#
Contents
create_noise_histogram()