From ceb0b48fa9afb76e97f3850822a0fbd64c0ecc33 Mon Sep 17 00:00:00 2001 From: Blaise Thompson Date: Sun, 2 Jun 2019 16:00:00 -0500 Subject: [PATCH 01/15] copy paste --- attune/workup/__init__.py | 1 + attune/workup/_holistic.py | 258 +++++++++++++++++++++++++++++++++++++ 2 files changed, 259 insertions(+) create mode 100644 attune/workup/_holistic.py diff --git a/attune/workup/__init__.py b/attune/workup/__init__.py index 05a7a6c..e987cb7 100644 --- a/attune/workup/__init__.py +++ b/attune/workup/__init__.py @@ -1,4 +1,5 @@ """Methods for processing OPA 800 tuning data.""" +from ._holistic import * from ._intensity import * from ._setpoint import * from ._tune_test import * diff --git a/attune/workup/_holistic.py b/attune/workup/_holistic.py new file mode 100644 index 0000000..9aed034 --- /dev/null +++ b/attune/workup/_holistic.py @@ -0,0 +1,258 @@ +"""Function for processing multi-motor tuning data.""" + + +import WrightTools as wt + + +__all__ = ["holistic"] + + +def holistic(OPA_index, data_filepath, curves, save=True): + """Process preamp motortune. + Parameters + ---------- + opa_index : integer + OPA index. + data_filepath : string + Data filepath. + curves : list of strings + Old curves. + save : boolean (optional) + Toggle saving. Default is True. + Returns + ------- + WrightTools.tuning.curve.Curve + """ + # extract information from file + headers = wt_kit.read_headers(data_filepath) + arr = np.genfromtxt(data_filepath).T + old_curve = wt_curve.from_TOPAS_crvs(curves, 'TOPAS-C', 'NON-NON-NON-Sig') + # get array data + array_colors = arr[headers['name'].index('wa')] + array_data = arr[headers['name'].index('array_signal')] + array_colors.shape = (-1, 256) + array_data.shape = (-1, 256) + array_colors = wt_units.converter(array_colors, 'nm', 'wn') + # fit array data + outs = [] + for i in range(len(array_data)): + xi = array_colors[i] + yi = array_data[i] + function = wt_fit.Gaussian() + mean, width, amplitude, baseline = function.fit(yi, xi) + mean = wt_units.converter(mean, 'wn', 'nm') + outs.append([amplitude, mean, width]) + outs = np.array(outs).T + amps, centers, widths = outs + # get crystal 1 data + array_c1 = arr[headers['name'].index('w{}_Crystal_1'.format(OPA_index))] + array_c1.shape = (-1, 256) + c1_list = array_c1[..., 0].flatten() + # get delay 1 data + array_d1 = arr[headers['name'].index('w{}_Delay_1'.format(OPA_index))] + array_d1.shape = (-1, 256) + d1_list = array_d1[..., 0].flatten() + d1_width = (array_d1[:, 0].max() - array_d1[:, 0].min()) / 2. + # remove points with amplitudes that are ridiculous + amps[amps < 0.1] = np.nan + amps[amps > 4] = np.nan + # remove points with centers that are ridiculous + centers[centers < 1150] = np.nan + centers[centers > 1650] = np.nan + # remove points with widths that are ridiculous + widths[widths < 5] = np.nan + widths[widths > 500] = np.nan + # finish removal + amps, centers, widths, c1_list, d1_list = wt_kit.remove_nans_1D( + [amps, centers, widths, c1_list, d1_list]) + # grid data (onto a fine grid) + points_count = 100 + c1_points = np.linspace(c1_list.min(), c1_list.max(), points_count) + d1_points = np.linspace(d1_list.min(), d1_list.max(), points_count) + xi = tuple(np.meshgrid(c1_points, d1_points, indexing='xy')) + c1_grid, d1_grid = xi + points = tuple([c1_list, d1_list]) + amp_grid = griddata(points, amps, xi) + cen_grid = griddata(points, centers, xi) + # get indicies with centers near setpoints (bin data) + setpoints = np.linspace(1140, 1620, 25) + within = 2 + fits_by_setpoint = [] + print('binning points') + for i in range(len(setpoints)): + these_fits = [] + for j in range(points_count): + for k in range(points_count): + if np.isnan(amp_grid[k, j]): + pass + else: + if np.abs(cen_grid[k, j] - setpoints[i]) < within: + motor_positions = [c1_grid[0, j], d1_grid[k, 0]] + amplitude = amp_grid[k, j] + these_fits.append([motor_positions, amplitude]) + else: + pass + if len(these_fits) > 0: + max_amplitude = max([f[1] for f in these_fits]) + these_fits = [f for f in these_fits if f[1] > max_amplitude * 0.25] + fits_by_setpoint.append(these_fits) + wt_kit.update_progress(100 * i / float(len(setpoints))) + wt_kit.update_progress(100) + false_setpoints = [] + for i in range(len(setpoints)): + if len(fits_by_setpoint[i]) == 0: + false_setpoints.append(setpoints[i]) + # fit each setpoint + preamp_chosen = [] + print('fitting points') + for i in range(len(setpoints)): + c1s = np.zeros(len(fits_by_setpoint[i])) + d1s = np.zeros(len(fits_by_setpoint[i])) + y = np.zeros(len(fits_by_setpoint[i])) + chosen = np.zeros(3) # color, c1, d1 + if len(y) == 0: + continue + for j in range(len(fits_by_setpoint[i])): + c1s[j] = fits_by_setpoint[i][j][0][0] + d1s[j] = fits_by_setpoint[i][j][0][1] + y[j] = fits_by_setpoint[i][j][1] + if len(y) < 4: + # choose by expectation value if you don't have many points (failsafe) + chosen[0] = setpoints[i] + chosen[1] = _exp_value(y, c1s) + chosen[2] = _exp_value(y, d1s) + else: + # fit to a guassian + # c1 + amplitude_guess = max(y) + center_guess = old_curve.get_motor_positions(setpoints[i])[0] + sigma_guess = 100. + p0 = np.array([amplitude_guess, center_guess, sigma_guess]) + try: + out_c1 = leastsq(_gauss_residuals, p0, args=(y, c1s))[0] + except RuntimeWarning: + print('runtime') + # d1 + amplitude_guess = max(y) + center_guess = old_curve.get_motor_positions(setpoints[i])[1] + sigma_guess = 100. + p0 = np.array([amplitude_guess, center_guess, sigma_guess]) + try: + out_d1 = leastsq(_gauss_residuals, p0, args=(y, d1s))[0] + except RuntimeWarning: + print('runtime') + # write to preamp_chosen + chosen[0] = setpoints[i] + chosen[1] = out_c1[1] + chosen[2] = out_d1[1] + if chosen[1] < c1s.min() or chosen[1] > c1s.max(): + chosen[0] = setpoints[i] + chosen[1] = _exp_value(y, c1s) + chosen[2] = _exp_value(y, d1s) + elif chosen[2] < d1s.min() or chosen[2] > d1s.max(): + chosen[0] = setpoints[i] + chosen[1] = _exp_value(y, c1s) + chosen[2] = _exp_value(y, d1s) + else: + pass + preamp_chosen.append(chosen) + wt_kit.update_progress(100 * i / float(len(setpoints))) + wt_kit.update_progress(100) + colors_chosen = [pc[0] for pc in preamp_chosen] + c1s_chosen = [pc[1] for pc in preamp_chosen] + d1s_chosen = [pc[2] for pc in preamp_chosen] + # extend curve using spline + if True: + c1_spline = UnivariateSpline(colors_chosen, c1s_chosen, k=2, s=1000) + d1_spline = UnivariateSpline(colors_chosen, d1s_chosen, k=2, s=1000) + preamp_chosen = np.zeros([len(setpoints), 3]) + for i in range(len(setpoints)): + preamp_chosen[i][0] = setpoints[i] + preamp_chosen[i][1] = c1_spline(setpoints[i]) + preamp_chosen[i][2] = d1_spline(setpoints[i]) + false_points = np.zeros([len(false_setpoints), 3]) + for i in range(len(false_setpoints)): + false_points[i][0] = false_setpoints[i] + false_points[i][1] = c1_spline(false_setpoints[i]) + false_points[i][2] = d1_spline(false_setpoints[i]) + # create new curve + colors = np.array([pc[0] for pc in preamp_chosen]) + motors = [] + old_curve_copy = old_curve.copy() + old_curve_copy.map_colors(colors) + for i, name in zip(range(1, 3), ['Crystal_1', 'Delay_1']): + motors.append(wt_curve.Motor([pc[i] for pc in preamp_chosen], name)) + for i in range(2, 4): + motors.append(old_curve_copy.motors[i]) + curve = old_curve.copy() + curve.colors = colors + curve.motors = motors + curve.map_colors(setpoints) + # preapre for plot + fig, gs = wt_artists.create_figure(width='single', cols=[1, 'cbar']) + cmap = wt_artists.colormaps['default'] + cmap.set_bad([0.75] * 3, 1.) + cmap.set_under([0.75] * 3, 1.) + # plot amplitude data + ax = plt.subplot(gs[0, 0]) + X, Y, Z = wt_artists.pcolor_helper(c1_points, d1_points, amp_grid) + mappable = ax.pcolor(X, Y, Z, vmin=0, vmax=np.nanmax(Z), cmap=cmap) + # plot and label contours of constant color + CS = plt.contour(c1_points, d1_points, cen_grid, colors='grey', levels=setpoints) + clabel_positions = np.zeros([len(preamp_chosen), 2]) + clabel_positions[:, 0] = preamp_chosen[:, 1] + clabel_positions[:, 1] = preamp_chosen[:, 2] + plt.clabel(CS, inline=0, fontsize=9, manual=clabel_positions, colors='w', fmt='%1.0f') + # plot old points, edges of acquisition + xi = old_curve.motors[0].positions + yi = old_curve.motors[1].positions + plt.plot(xi, yi, c='k') + plt.plot(xi, yi + d1_width, c='k', ls='--') + plt.plot(xi, yi - d1_width, c='k', ls='--') + for x, y in zip([xi[0], xi[-1]], [yi[0], yi[-1]]): + xs = [x, x] + ys = [y - d1_width, y + d1_width] + plt.plot(xs, ys, c='k', ls='--') + # plot points chosen by fits + xi = [pc[1] for pc in preamp_chosen] + yi = [pc[2] for pc in preamp_chosen] + plt.plot(xi, yi, c='grey', lw=5) + # plot smoothed points + xi = curve.motors[0].positions + yi = curve.motors[1].positions + plt.plot(xi, yi, c='k', lw=5) + # finish plot + plt.xlabel('C1 (deg)', fontsize=18) + plt.ylabel('D1 (mm)', fontsize=18) + title = os.path.basename(data_filepath) + plt.suptitle(title) + plt.gca().patch.set_facecolor([0.75] * 3) + plt.xlim(xi.min() - 0.25, xi.max() + 0.25) + plt.ylim(yi.min() - 0.05, yi.max() + 0.05) + # colorbar + cax = plt.subplot(gs[:, -1]) + plt.colorbar(mappable=mappable, cax=cax) + cax.set_ylabel('intensity', fontsize=18) + # plot at an index (for debugging purposes only) + # TODO: remove this eventually... + if False: + setpoint_index = 20 + fig2 = plt.figure() + for i in range(len(fits_by_setpoint[setpoint_index])): + c1_point = fits_by_setpoint[setpoint_index][i][0][0] + d1_point = fits_by_setpoint[setpoint_index][i][0][1] + amp = fits_by_setpoint[setpoint_index][i][1] + fig.gca().scatter(c1_point, d1_point) + fig2.gca().scatter(c1_point, amp) + plt.title('c1 vs amp - {} nm'.format(setpoints[setpoint_index])) + plt.show() + # write files + if save: + directory = os.path.dirname(data_filepath) + curve.save(save_directory=directory) + image_path = data_filepath.replace('.data', '.png') + # TODO: figure out how to get transparent background >:-( + plt.savefig(image_path, dpi=300, transparent=False) + plt.close(fig) + # finish + return curve From 8c5e4633c91a3c861341330b34f03c1c06caaed0 Mon Sep 17 00:00:00 2001 From: Blaise Thompson Date: Sun, 2 Jun 2019 16:09:05 -0500 Subject: [PATCH 02/15] test folder --- tests/workup/holistic/2018-11-30/bvwnu.py | 17 +++++++++++++++++ .../2018-11-30/data.wt5} | Bin .../OPA1 (10743) base - 2018-10-26 40490.crv | 0 .../OPA1 (10743) mixer1 - 2018-09-07 66539.crv | 0 .../OPA1 (10743) mixer2 - 2018-10-07 47923.crv | 0 .../old/OPA1 (10743) mixer3 - 2013.06.01.crv | 0 .../OPA1 (10743) base - 2018-11-30 34255.crv | 0 .../OPA1 (10743) mixer1 - 2018-09-07 66539.crv | 0 .../OPA1 (10743) mixer2 - 2018-10-07 47923.crv | 0 .../out/OPA1 (10743) mixer3 - 2013.06.01.crv | 0 10 files changed, 17 insertions(+) create mode 100644 tests/workup/holistic/2018-11-30/bvwnu.py rename tests/workup/{TODO/2018-11-30 preamp/B - Preamp 2018-11-30 [w1, w1_Delay_1].wt5 => holistic/2018-11-30/data.wt5} (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/old/OPA1 (10743) base - 2018-10-26 40490.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/old/OPA1 (10743) mixer1 - 2018-09-07 66539.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/old/OPA1 (10743) mixer2 - 2018-10-07 47923.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/old/OPA1 (10743) mixer3 - 2013.06.01.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/out/OPA1 (10743) base - 2018-11-30 34255.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/out/OPA1 (10743) mixer1 - 2018-09-07 66539.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/out/OPA1 (10743) mixer2 - 2018-10-07 47923.crv (100%) rename tests/workup/{TODO/2018-11-30 preamp => holistic/2018-11-30}/out/OPA1 (10743) mixer3 - 2013.06.01.crv (100%) diff --git a/tests/workup/holistic/2018-11-30/bvwnu.py b/tests/workup/holistic/2018-11-30/bvwnu.py new file mode 100644 index 0000000..01a47ab --- /dev/null +++ b/tests/workup/holistic/2018-11-30/bvwnu.py @@ -0,0 +1,17 @@ +import tempfile +import attune +import WrightTools as wt +import numpy as np +import pathlib + + +__here__ = pathlib.Path(__file__).parent + + +def test_tune_test(): + d = wt.open(__here__ / "data.wt5") + print(d, d.shape) + + +if __name__ == '__main__': + test_tune_test() diff --git a/tests/workup/TODO/2018-11-30 preamp/B - Preamp 2018-11-30 [w1, w1_Delay_1].wt5 b/tests/workup/holistic/2018-11-30/data.wt5 similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/B - Preamp 2018-11-30 [w1, w1_Delay_1].wt5 rename to tests/workup/holistic/2018-11-30/data.wt5 diff --git a/tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) base - 2018-10-26 40490.crv b/tests/workup/holistic/2018-11-30/old/OPA1 (10743) base - 2018-10-26 40490.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) base - 2018-10-26 40490.crv rename to tests/workup/holistic/2018-11-30/old/OPA1 (10743) base - 2018-10-26 40490.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) mixer1 - 2018-09-07 66539.crv b/tests/workup/holistic/2018-11-30/old/OPA1 (10743) mixer1 - 2018-09-07 66539.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) mixer1 - 2018-09-07 66539.crv rename to tests/workup/holistic/2018-11-30/old/OPA1 (10743) mixer1 - 2018-09-07 66539.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) mixer2 - 2018-10-07 47923.crv b/tests/workup/holistic/2018-11-30/old/OPA1 (10743) mixer2 - 2018-10-07 47923.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) mixer2 - 2018-10-07 47923.crv rename to tests/workup/holistic/2018-11-30/old/OPA1 (10743) mixer2 - 2018-10-07 47923.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) mixer3 - 2013.06.01.crv b/tests/workup/holistic/2018-11-30/old/OPA1 (10743) mixer3 - 2013.06.01.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/old/OPA1 (10743) mixer3 - 2013.06.01.crv rename to tests/workup/holistic/2018-11-30/old/OPA1 (10743) mixer3 - 2013.06.01.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) base - 2018-11-30 34255.crv b/tests/workup/holistic/2018-11-30/out/OPA1 (10743) base - 2018-11-30 34255.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) base - 2018-11-30 34255.crv rename to tests/workup/holistic/2018-11-30/out/OPA1 (10743) base - 2018-11-30 34255.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) mixer1 - 2018-09-07 66539.crv b/tests/workup/holistic/2018-11-30/out/OPA1 (10743) mixer1 - 2018-09-07 66539.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) mixer1 - 2018-09-07 66539.crv rename to tests/workup/holistic/2018-11-30/out/OPA1 (10743) mixer1 - 2018-09-07 66539.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) mixer2 - 2018-10-07 47923.crv b/tests/workup/holistic/2018-11-30/out/OPA1 (10743) mixer2 - 2018-10-07 47923.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) mixer2 - 2018-10-07 47923.crv rename to tests/workup/holistic/2018-11-30/out/OPA1 (10743) mixer2 - 2018-10-07 47923.crv diff --git a/tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) mixer3 - 2013.06.01.crv b/tests/workup/holistic/2018-11-30/out/OPA1 (10743) mixer3 - 2013.06.01.crv similarity index 100% rename from tests/workup/TODO/2018-11-30 preamp/out/OPA1 (10743) mixer3 - 2013.06.01.crv rename to tests/workup/holistic/2018-11-30/out/OPA1 (10743) mixer3 - 2013.06.01.crv From 40148e832302113a03f95e515d54237e2b5c86e5 Mon Sep 17 00:00:00 2001 From: Blaise Thompson Date: Sun, 2 Jun 2019 17:34:15 -0500 Subject: [PATCH 03/15] for Kyle --- attune/workup/_holistic.py | 90 +++++++++++++---------- tests/workup/holistic/2018-11-30/bvwnu.py | 18 +++-- 2 files changed, 63 insertions(+), 45 deletions(-) diff --git a/attune/workup/_holistic.py b/attune/workup/_holistic.py index 9aed034..4f9674e 100644 --- a/attune/workup/_holistic.py +++ b/attune/workup/_holistic.py @@ -1,49 +1,63 @@ -"""Function for processing multi-motor tuning data.""" +"""Function for processing multi-dependent tuning data.""" +import matplotlib.pyplot as plt + import WrightTools as wt __all__ = ["holistic"] +def holistic( + data, + channel, + curve, + *, + level=False, + cutoff_factor=0.1, + autosave=True, + save_directory=None, + **spline_kwargs, +): + """Workup multi-dependent tuning data.""" + # TODO: docstring + # HACKS + data = data.copy() + opa_index = 1 + # take channel moments + data.moment(axis="wa", channel=channel, resultant=wt.kit.joint_shape(*data.axes[:-1]), moment=0) + data.moment(axis="wa", channel=channel, resultant=wt.kit.joint_shape(*data.axes[:-1]), moment=1) + amplitudes = data.channels[-2] + centers = data.channels[-1] + + # would be nice if this was retained in the file I'm using, but it can be hacked + C1 = curve.dependents['0'] + data.create_variable("w1_Crystal_1", values=C1[:, None, None]) + + data.transform("w1_Crystal_1", "w1_Delay_1", "wa") + + # this suprises me... Kyle can you resolve? + assert data.w1_Delay_1.shape == (25, 51, 1) + + + + # preapre for plot + fig, gs = wt.artists.create_figure(width='single', cols=[1, 'cbar']) + cmap = wt.artists.colormaps['default'] + cmap.set_bad([0.75] * 3, 1.) + cmap.set_under([0.75] * 3, 1.) + + ax = plt.subplot(gs[0, 0]) + X, Y, Z = wt.artists.pcolor_helper(data.axes[0].points, data.axes[1].points, amplitudes.points) + ax.pcolor(X, Y, Z) + + plt.show() + + + + -def holistic(OPA_index, data_filepath, curves, save=True): - """Process preamp motortune. - Parameters - ---------- - opa_index : integer - OPA index. - data_filepath : string - Data filepath. - curves : list of strings - Old curves. - save : boolean (optional) - Toggle saving. Default is True. - Returns - ------- - WrightTools.tuning.curve.Curve - """ - # extract information from file - headers = wt_kit.read_headers(data_filepath) - arr = np.genfromtxt(data_filepath).T - old_curve = wt_curve.from_TOPAS_crvs(curves, 'TOPAS-C', 'NON-NON-NON-Sig') - # get array data - array_colors = arr[headers['name'].index('wa')] - array_data = arr[headers['name'].index('array_signal')] - array_colors.shape = (-1, 256) - array_data.shape = (-1, 256) - array_colors = wt_units.converter(array_colors, 'nm', 'wn') - # fit array data - outs = [] - for i in range(len(array_data)): - xi = array_colors[i] - yi = array_data[i] - function = wt_fit.Gaussian() - mean, width, amplitude, baseline = function.fit(yi, xi) - mean = wt_units.converter(mean, 'wn', 'nm') - outs.append([amplitude, mean, width]) - outs = np.array(outs).T - amps, centers, widths = outs +def old(): # get crystal 1 data array_c1 = arr[headers['name'].index('w{}_Crystal_1'.format(OPA_index))] array_c1.shape = (-1, 256) diff --git a/tests/workup/holistic/2018-11-30/bvwnu.py b/tests/workup/holistic/2018-11-30/bvwnu.py index 01a47ab..6bb2cb2 100644 --- a/tests/workup/holistic/2018-11-30/bvwnu.py +++ b/tests/workup/holistic/2018-11-30/bvwnu.py @@ -8,10 +8,14 @@ __here__ = pathlib.Path(__file__).parent -def test_tune_test(): - d = wt.open(__here__ / "data.wt5") - print(d, d.shape) - - -if __name__ == '__main__': - test_tune_test() +# collect +d = wt.open(__here__ / "data.wt5") +curve_paths = [__here__ / "old" / "OPA1 (10743) base - 2018-10-26 40490.crv", + __here__ / "old" / "OPA1 (10743) mixer1 - 2018-09-07 66539.crv", + __here__ / "old" / "OPA1 (10743) mixer2 - 2018-10-07 47923.crv", + __here__ / "old" / "OPA1 (10743) mixer3 - 2013.06.01.crv", + ] +old = attune.TopasCurve.read(curve_paths, interaction_string='NON-NON-NON-Sig') +# do calculation +new = attune.workup.holistic(d, "array_signal", old) +# check From d69909d9617f521970731d34131f9b9daba82aa7 Mon Sep 17 00:00:00 2001 From: Kyle Sunden Date: 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