def job_doppler_free(T):
osci08_x1, osci08_y1, osci08_x2, osci08_y2 = trek.load_dir('0008')
osci20_x1, osci20_y1, osci20_x2, osci20_y2 = trek.load_dir('0020')
np.savetxt('_build/xy/doppler-free-pumping.tsv',
np.column_stack([osci08_x1, osci08_y1]))
np.savetxt('_build/xy/doppler-free-cooling.tsv',
np.column_stack([osci20_x1, osci20_y1]))
def job_scan_pumping(T):
osci17_x1, osci17_y1, osci17_x2, osci17_y2 = trek.load_dir("0017")
osci18_x1, osci18_y1, osci18_x2, osci18_y2 = trek.load_dir("0018")
np.savetxt("_build/xy/scan-pumping-mot-input.tsv", np.column_stack([osci18_x1, osci18_y1]))
np.savetxt("_build/xy/scan-pumping-mot-output.tsv", np.column_stack([osci18_x2, osci18_y2]))
np.savetxt("_build/xy/scan-pumping-no_mot-input.tsv", np.column_stack([osci17_x1, osci17_y1]))
np.savetxt("_build/xy/scan-pumping-no_mot-output.tsv", np.column_stack([osci17_x2, osci17_y2]))
np.savetxt("_build/xy/scan-pumping-difference-output.tsv", np.column_stack([osci17_x2, osci17_y2 - osci18_y2]))
def job_scan_cooling(T):
osci19_x1, osci19_y1, osci19_x2, osci19_y2 = trek.load_dir("0019")
osci20_x1, osci20_y1, osci20_x2, osci20_y2 = trek.load_dir("0020")
np.savetxt("_build/xy/scan-cooling-mot-input.tsv", np.column_stack([osci20_x1, osci20_y1]))
np.savetxt("_build/xy/scan-cooling-mot-output.tsv", np.column_stack([osci20_x2, osci20_y2]))
np.savetxt("_build/xy/scan-cooling-no_mot-input.tsv", np.column_stack([osci19_x1, osci19_y1]))
np.savetxt("_build/xy/scan-cooling-no_mot-output.tsv", np.column_stack([osci19_x2, osci19_y2]))
np.savetxt("_build/xy/scan-cooling-difference-output.tsv", np.column_stack([osci19_x2, osci19_y2 - osci20_y2]))
peaks_val = []
peaks_err = []
peak_val, peak_err = fit_osci_peak(osci20_x1, osci20_y1, -1.00, -0.65, "scan-cooling-mot-input-fit1.tsv")
peaks_val.append(peak_val)
peaks_err.append(peak_err)
peak_val, peak_err = fit_osci_peak(osci20_x1, osci20_y1, -0.40, -0.10, "scan-cooling-mot-input-fit2.tsv")
peaks_val.append(peak_val)
peaks_err.append(peak_err)
peak_val, peak_err = fit_osci_peak(osci20_x1, osci20_y1, 0.80, 1.07, "scan-cooling-mot-input-fit3.tsv")
peaks_val.append(peak_val)
peaks_err.append(peak_err)
spacings = np.array([0, 31.7, 31.7 + 60.3])
spacings -= spacings[2]
popt, pconv = op.curve_fit(linear, spacings, peaks_val, sigma=peaks_err)
np.savetxt("_build/xy/scan-cooling-spacing-data.tsv", np.column_stack([spacings, peaks_val, peaks_err]))
fit_x = np.linspace(min(spacings), max(spacings), 10)
fit_y = linear(fit_x, *popt)
np.savetxt("_build/xy/scan-cooling-spacing-data.tsv", np.column_stack([spacings, peaks_val, peaks_err]))
np.savetxt("_build/xy/scan-cooling-spacing-fit.tsv", np.column_stack([fit_x, fit_y]))
detuning_x = (osci19_x2 - popt[1]) / popt[0]
detuning_y = osci19_y2 - osci20_y2
np.savetxt("_build/xy/scan-cooling-detuning.tsv", np.column_stack([detuning_x, detuning_y]))
sel = (-18 < detuning_x) & (detuning_x < -9)
p0 = [-15, 3, 1]
popt, pconv = op.curve_fit(gauss, detuning_x[sel], detuning_y[sel], p0=p0)
fit_x = np.linspace(-18, -9, 100)
fit_y = gauss(fit_x, *popt)
np.savetxt("_build/xy/scan-cooling-detuning-fit.tsv", np.column_stack([fit_x, fit_y]))
perr = np.sqrt(pconv.diagonal())
T["detuning"] = siunitx(popt[0], perr[0])
return popt[0], perr[0]
def job_scan_pumping(T):
osci17_x1, osci17_y1, osci17_x2, osci17_y2 = trek.load_dir('0017')
osci18_x1, osci18_y1, osci18_x2, osci18_y2 = trek.load_dir('0018')
np.savetxt('_build/xy/scan-pumping-mot-input.tsv',
np.column_stack([osci18_x1, osci18_y1]))
np.savetxt('_build/xy/scan-pumping-mot-output.tsv',
np.column_stack([osci18_x2, osci18_y2]))
np.savetxt('_build/xy/scan-pumping-no_mot-input.tsv',
np.column_stack([osci17_x1, osci17_y1]))
np.savetxt('_build/xy/scan-pumping-no_mot-output.tsv',
np.column_stack([osci17_x2, osci17_y2]))
np.savetxt('_build/xy/scan-pumping-difference-output.tsv',
np.column_stack([osci17_x2, osci17_y2 - osci18_y2]))
def job_loading(T):
res_max = []
res_slope = []
for i, directory in zip(itertools.count(), ["0002", "0003", "0004", "0005", "0006", "0007"]):
data_x, data_y = trek.load_dir(directory)
data_x, data_y = data_x[120:-500], data_y[120:-500]
lower = np.where(data_y > 0.095)[0][0]
fit_x = np.linspace(data_x[lower - 20], data_x[-1], 100)
popt, pconv = op.curve_fit(loading, data_x[lower:], data_y[lower:])
res_max.append(popt[0])
res_slope.append(1 / popt[1])
fit_y = loading(fit_x, *popt)
# pl.plot(data_x, data_y)
# pl.plot(fit_x, fit_y)
# pl.show()
# pl.clf()
avg_before = np.mean(data_y[:lower])
stretched_data = stretch(data_y, avg_before, 0, popt[0], 1)
stretched_fit = stretch(fit_y, avg_before, 0, popt[0], 1)
np.savetxt("_build/xy/loading-{}-data.tsv".format(i), np.column_stack([data_x - data_x[lower], stretched_data]))
np.savetxt("_build/xy/loading-{}-fit.tsv".format(i), np.column_stack([fit_x - data_x[lower], stretched_fit]))
maximum_val, maximum_err = np.mean(res_max), np.std(res_max)
slope_val, slope_err = np.mean(res_slope), np.std(res_slope)
T["loading_maximum"] = siunitx(maximum_val, maximum_err)
T["loading_lifetime"] = siunitx(slope_val, slope_err)
mass = 85 * 1.66e-27
pressure_dist = [1.1e-5, 1.5e-5]
pressure_val = np.mean(pressure_dist)
pressure_err = np.std(pressure_dist)
temperature = 24 + 273
k_boltzmann = 1.3806e-23
velocity = np.sqrt(temperature * k_boltzmann / mass)
density_val = pressure_val / (k_boltzmann * temperature)
density_err = pressure_err / (k_boltzmann * temperature)
cross_section_val = 1 / (slope_val * density_val * velocity)
cross_section_err = np.sqrt(
(slope_err / (slope_val ** 2 * density_val * velocity)) ** 2
+ (density_err / (slope_val * density_val ** 2 * velocity)) ** 2
)
T["cross_section"] = siunitx(cross_section_val, cross_section_err)
T["density"] = siunitx(density_val, density_err)
T["pressure"] = siunitx(pressure_val, pressure_err)
T["rubidium_mass"] = siunitx(mass)
T["velocity"] = siunitx(velocity)
def job_loading(T):
res_max = []
res_slope = []
for i, directory in zip(itertools.count(),
['0002', '0003', '0004', '0005', '0006', '0007']):
data_x, data_y = trek.load_dir(directory)
data_x, data_y = data_x[120:-500], data_y[120:-500]
lower = np.where(data_y > .095)[0][0]
fit_x = np.linspace(data_x[lower - 20], data_x[-1], 100)
popt, pconv = op.curve_fit(loading, data_x[lower:], data_y[lower:])
res_max.append(popt[0])
res_slope.append(1 / popt[1])
fit_y = loading(fit_x, *popt)
# pl.plot(data_x, data_y)
# pl.plot(fit_x, fit_y)
# pl.show()
# pl.clf()
avg_before = np.mean(data_y[:lower])
stretched_data = stretch(data_y, avg_before, 0, popt[0], 1)
stretched_fit = stretch(fit_y, avg_before, 0, popt[0], 1)
np.savetxt('_build/xy/loading-{}-data.tsv'.format(i),
np.column_stack([data_x - data_x[lower], stretched_data]))
np.savetxt('_build/xy/loading-{}-fit.tsv'.format(i),
np.column_stack([fit_x - data_x[lower], stretched_fit]))
maximum_val, maximum_err = np.mean(res_max), np.std(res_max)
slope_val, slope_err = np.mean(res_slope), np.std(res_slope)
T['loading_maximum'] = siunitx(maximum_val, maximum_err)
T['loading_lifetime'] = siunitx(slope_val, slope_err)
mass = 85 * 1.66e-27
pressure_dist = [1.1e-5, 1.5e-5]
pressure_val = np.mean(pressure_dist)
pressure_err = np.std(pressure_dist)
temperature = 24 + 273
k_boltzmann = 1.3806e-23
velocity = np.sqrt(temperature * k_boltzmann / mass)
density_val = pressure_val / (k_boltzmann * temperature)
density_err = pressure_err / (k_boltzmann * temperature)
cross_section_val = 1 / (slope_val * density_val * velocity)
cross_section_err = np.sqrt((slope_err /
(slope_val**2 * density_val * velocity))**2 +
(density_err /
(slope_val * density_val**2 * velocity))**2)
T['cross_section'] = siunitx(cross_section_val, cross_section_err)
T['density'] = siunitx(density_val, density_err)
T['pressure'] = siunitx(pressure_val, pressure_err)
T['rubidium_mass'] = siunitx(mass)
T['velocity'] = siunitx(velocity)
def job_scan_cooling(T):
osci19_x1, osci19_y1, osci19_x2, osci19_y2 = trek.load_dir('0019')
osci20_x1, osci20_y1, osci20_x2, osci20_y2 = trek.load_dir('0020')
np.savetxt('_build/xy/scan-cooling-mot-input.tsv',
np.column_stack([osci20_x1, osci20_y1]))
np.savetxt('_build/xy/scan-cooling-mot-output.tsv',
np.column_stack([osci20_x2, osci20_y2]))
np.savetxt('_build/xy/scan-cooling-no_mot-input.tsv',
np.column_stack([osci19_x1, osci19_y1]))
np.savetxt('_build/xy/scan-cooling-no_mot-output.tsv',
np.column_stack([osci19_x2, osci19_y2]))
np.savetxt('_build/xy/scan-cooling-difference-output.tsv',
np.column_stack([osci19_x2, osci19_y2 - osci20_y2]))
peaks_val = []
peaks_err = []
peak_val, peak_err = fit_osci_peak(osci20_x1, osci20_y1, -1.00, -0.65,
'scan-cooling-mot-input-fit1.tsv')
peaks_val.append(peak_val)
peaks_err.append(peak_err)
peak_val, peak_err = fit_osci_peak(osci20_x1, osci20_y1, -0.40, -0.10,
'scan-cooling-mot-input-fit2.tsv')
peaks_val.append(peak_val)
peaks_err.append(peak_err)
peak_val, peak_err = fit_osci_peak(osci20_x1, osci20_y1, 0.80, 1.07,
'scan-cooling-mot-input-fit3.tsv')
peaks_val.append(peak_val)
peaks_err.append(peak_err)
spacings = np.array([0, 31.7, 31.7 + 60.3])
spacings -= spacings[2]
popt, pconv = op.curve_fit(linear, spacings, peaks_val, sigma=peaks_err)
np.savetxt('_build/xy/scan-cooling-spacing-data.tsv',
np.column_stack([spacings, peaks_val, peaks_err]))
fit_x = np.linspace(min(spacings), max(spacings), 10)
fit_y = linear(fit_x, *popt)
np.savetxt('_build/xy/scan-cooling-spacing-data.tsv',
np.column_stack([spacings, peaks_val, peaks_err]))
np.savetxt('_build/xy/scan-cooling-spacing-fit.tsv',
np.column_stack([fit_x, fit_y]))
detuning_x = (osci19_x2 - popt[1]) / popt[0]
detuning_y = osci19_y2 - osci20_y2
np.savetxt('_build/xy/scan-cooling-detuning.tsv',
np.column_stack([detuning_x, detuning_y]))
sel = (-18 < detuning_x) & (detuning_x < -9)
p0 = [-15, 3, 1]
popt, pconv = op.curve_fit(gauss, detuning_x[sel], detuning_y[sel], p0=p0)
fit_x = np.linspace(-18, -9, 100)
fit_y = gauss(fit_x, *popt)
np.savetxt('_build/xy/scan-cooling-detuning-fit.tsv',
np.column_stack([fit_x, fit_y]))
perr = np.sqrt(pconv.diagonal())
T['detuning'] = siunitx(popt[0], perr[0])
return popt[0], perr[0]
def job_doppler_free(T):
osci08_x1, osci08_y1, osci08_x2, osci08_y2 = trek.load_dir("0008")
osci20_x1, osci20_y1, osci20_x2, osci20_y2 = trek.load_dir("0020")
np.savetxt("_build/xy/doppler-free-pumping.tsv", np.column_stack([osci08_x1, osci08_y1]))
np.savetxt("_build/xy/doppler-free-cooling.tsv", np.column_stack([osci20_x1, osci20_y1]))
