def samples(self, rate: float) -> np.ndarray:
ts = np.arange(self.num_samples(rate), dtype=np.complex128) / rate
sigma = 0.5 * self.fwhm / np.sqrt(2.0 * np.log(2.0))
env = np.exp(-0.5 * (ts - self.t0) ** 2 / sigma ** 2)
env_der = (self.alpha * (1.0 / (2 * np.pi * self.anh * sigma ** 2))) * (ts - self.t0) * env
iqs = env + 1.0j * env_der
return _update_envelope(iqs, rate, scale=self.scale, phase=self.scale, detuning=self.detuning)
def samples(self, rate: float) -> np.ndarray:
iqs = np.full(self.num_samples(rate), self.iq, dtype=np.complex128)
return _update_envelope(iqs,
rate,
scale=self.scale,
phase=self.phase,
detuning=self.detuning)
def samples(self, rate: float) -> np.ndarray:
ts = np.arange(self.num_samples(rate), dtype=np.complex128) / rate
sigma = 0.5 * self.fwhm / np.sqrt(2.0 * np.log(2.0))
iqs = np.exp(-0.5 * (ts - self.t0)**2 / sigma**2)
return _update_envelope(iqs,
rate,
scale=self.scale,
phase=self.scale,
detuning=self.detuning)
def samples(self, rate: float) -> np.ndarray:
ts = np.arange(self.num_samples(rate), dtype=np.complex128) / rate
fwhm = 0.5 * self.risetime
t1 = fwhm
t2 = self.duration - fwhm
sigma = 0.5 * fwhm / np.sqrt(2.0 * np.log(2.0))
vals = 0.5 * (erf((ts - t1) / sigma) - erf((ts - t2) / sigma))
zeros_left = np.zeros(int(np.ceil(self.pad_left * rate)), dtype=np.complex128)
zeros_right = np.zeros(int(np.ceil(self.pad_left * rate)), dtype=np.complex128)
iqs = np.concatenate((zeros_left, vals, zeros_right))
return _update_envelope(iqs, rate, scale=self.scale, phase=self.scale, detuning=self.detuning)
def samples(self, rate: float) -> np.ndarray:
ts = np.arange(self.num_samples(rate), dtype=np.complex128) / rate
sigma = 0.5 * self.fwhm / np.sqrt(2.0 * np.log(2.0))
exponent_of_t = 0.5 * (ts - self.t0)**2 / sigma**2
gauss = np.exp(-exponent_of_t)
env = (1 - self.second_order_hrm_coeff * exponent_of_t) * gauss
deriv_prefactor = -self.alpha / (2 * np.pi * self.anh)
env_der = (deriv_prefactor * (ts - self.t0) / (sigma**2) * gauss *
(self.second_order_hrm_coeff * (exponent_of_t - 1) - 1))
iqs = env + 1.0j * env_der
return _update_envelope(iqs,
rate,
scale=self.scale,
phase=self.scale,
detuning=self.detuning)
