pytweezer.analysis.analysis module

pytweezer.analysis.analysis.EllipticalGaussian2D(pos, amplitude, xo, yo, sigma_x, sigma_y, theta, offset)

class pytweezer.analysis.analysis.TweezerExperimentAnalysis(year='26', month='01Jan', day='00')

Bases: object

array_baseline_measurement(images, backgrounds, grid_shape=(8, 8), trap_size=3, detection_step=100)

array_loading_threshold_measurement(zipNo, powers, datapoints, grid_positions, grid_shape, threshold, trap_size=3)

clear_tweezer_images()

extract_survival_probabilities(startZip, num_datapoints, grid_positions, grid_shape=(8, 8), trap_size=3, loading_threshold=6)

getPos(startZipNo, endZipNo, bgZipNo, variable='TOF')

getTemperature(startZipNo, endZipNo, bgZipNo, variable='TOF', show_images=False, incl_init_velocity=False)

get_array_loading_probability_general(images, grid_positions, threshold=6.85, window_size=5, binning=20)

get_array_loading_statistics(images, grid_positions, grid_shape, threshold=6.85, window_size=5, binning=20, show_histogram=True, threshold_detection=True, verbose=True)

get_cloud_density(file_start, file_end, bg_fileno, parameter_name, crop, to_crop=False, show_images=True)

get_cloud_size(startZipNo, endZipNo, bgZipNo, variable='TOF')

get_cloud_size_den(startZipNo, endZipNo, bgZipNo, variable='TOF')

get_cloud_width(startZipNo, endZipNo, bgZipNo, variable='TOF')

get_fluorescence_atom_no(file_start, file_end, bg_fileno, parameter_name, crop, to_crop=False, show_images=True)

get_next_zipno()

get_temp_v_parameter(startZip, endZip, bgZip, no_zips_per_datapoint, parameter='tMolCool')

get_tweezer_images()

read_images_from_zip(zipNo, close=True)

Parameters:

close (bool)

Return type:

ndarray

read_parameters_from_zip(zipNo, close=True)

Parameters:

close (bool)

Return type:

dict[str, Any]

test_update()

tweezer_inject(zipNo)

tweezer_inject_double(zipNo)

tweezer_show(images, reg=(25, 31, 22, 28), cmap='coolwarm', show=True, vmaxfactor=0.8, show_grid=True)

tweezer_show_bg_subtracted(images, backgrounds, reg=(0, -1, 0, -1), cmap='gray', show=True, vmaxfactor=0.8, show_grid=True)

pytweezer.analysis.analysis.atoi(text)

pytweezer.analysis.analysis.cool_vco_to_detuning(vco)

pytweezer.analysis.analysis.detect_bright_points(image_array, threshold=200)

pytweezer.analysis.analysis.detect_loading_threshold(counts)

pytweezer.analysis.analysis.detect_trap_sites(img_array, grid_shape, detection_step=100)

pytweezer.analysis.analysis.detect_trap_sites_general(img_array, atom_number, detection_step=100)

pytweezer.analysis.analysis.detuning_to_cool_vco(detuning)

pytweezer.analysis.analysis.gaussian2D(pos, amplitude, xo, yo, sigma_x, sigma_y, offset)

pytweezer.analysis.analysis.gaussian_high_pass(image, sigma_blur)

Standard linear high-pass filter. Subtracts a Gaussian-blurred version of the image from itself.

pytweezer.analysis.analysis.maxwell_boltzmann_cdf(P, Amp, Pc, P_offset)

Fits the loading probability curve assuming a thermal ensemble.

Parameters:

• P – Tweezer Power (x-axis)

• Amp – Saturation Amplitude (Max loading prob, e.g. ~0.55)

• Pc – Characteristic Power (Proportional to Temperature)

• P_offset – Shift in power (e.g. AOM turn-on threshold or background offset)

pytweezer.analysis.analysis.morphological_tophat_high_pass(image, feature_size)

Non-linear high-pass filter (Recommended for Tweezer Arrays). Extracts bright features smaller than the feature_size.

pytweezer.analysis.analysis.natural_keys(text)

pytweezer.analysis.analysis.sort_into_grid(centers, grid_shape=(2, 2))

pytweezer.analysis.analysis.spot_sharpness(img)

pytweezer.analysis.analysis.sum_pixel_values(image_array, grid_positions, grid_shape, window_size=10)

pytweezer.analysis.analysis.sum_pixel_values_general(image_array, grid_positions, window_size=10)

pytweezer.analysis.analysis.visualize_array_detection(image_array, grid_positions, margin=50, window_size=5, threshold=150, vmaxfactor=0.8)

pytweezer.analysis.analysis.visualize_results(image_array, grid_positions, margin=50, window_size=5, threshold=150, vmaxfactor=0.8, index_labels=False, bin_sharpness=20, bin_thresh_factor=0.8)