Changeset 7c1cce3 in sasmodels
- Timestamp:
- Apr 10, 2017 7:39:56 AM (8 years ago)
- Branches:
- costrafo411
- Children:
- 2cdc35b
- Parents:
- a86e249
- File:
-
- 1 edited
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- Unmodified
- Added
- Removed
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sasmodels/sesans.py
ra86e249 r7c1cce3 20 20 Spin-Echo SANS transform calculator. Similar to a resolution function, 21 21 the SesansTransform object takes I(q) for the set of *q_calc* values and 22 produces a transformed dataset 22 produces a transformed dataset. 23 23 24 24 *SElength* (A) is the set of spin-echo lengths in the measured data. … … 45 45 #import logging; logging.info("creating SESANS transform") 46 46 self.q = z 47 # isoriented flag determines whether data is from an oriented sample or not, should be a selection variable upon entering SESANS data. 48 if self.isoriented==False: 49 self._set_hankel(SElength, zaccept, Rmax) 50 if self.isoriented==True: 51 self._set_cosmat(SElength, zaccept, Rmax) 47 # isoriented flag determines whether data is from an oriented sample or 48 # not, should be a selection variable upon entering SESANS data. 49 self._set_hankel(SElength, zaccept, Rmax) 52 50 53 51 def apply(self, Iq): 54 try: 55 G0 = np.dot(self._H0, Iq) 56 G = np.dot(self._H.T, Iq) 57 P = G - G0 58 except: 59 try: 60 dq = self.q_calc[0] 61 G0 = sum(np.dot(self._cos0, Iq) * dq) 62 G = sum(np.dot(self._cosmat.T, Iq) * dq) 63 P = G - G0 64 except: 65 raise ValueError('Sesanstransform.apply cannot generate either a Hankel transform or a cosine transform of you SESANS data') 52 G0 = np.dot(self._H0, Iq) 53 G = np.dot(self._H.T, Iq) 54 P = G - G0 66 55 return P 67 56 … … 86 75 self._H, self._H0 = H, H0 87 76 77 class OrientedSesansTransform(object): 78 """ 79 Oriented Spin-Echo SANS transform calculator. Similar to a resolution 80 function, the OrientedSesansTransform object takes I(q) for the set 81 of *q_calc* values and produces a transformed dataset. 82 83 *SElength* (A) is the set of spin-echo lengths in the measured data. 84 85 *zaccept* (1/A) is the maximum acceptance of scattering vector in the spin 86 echo encoding dimension (for ToF: Q of min(R) and max(lam)). 87 88 *Rmax* (A) is the maximum size sensitivity; larger radius requires more 89 computation time. 90 """ 91 #: SElength from the data in the original data units; not used by transform 92 #: but the GUI uses it, so make sure that it is present. 93 q = None # type: np.ndarray 94 95 #: q values to calculate when computing transform 96 q_calc = None # type: np.ndarray 97 98 # transform arrays 99 _cosmat = None # type: np.ndarray 100 _cos0 = None # type: np.ndarray 101 _Iq_shape = None # type: Tuple[int, int] 102 103 def __init__(self, z, SElength, zaccept, Rmax): 104 # type: (np.ndarray, float, float) -> None 105 #import logging; logging.info("creating SESANS transform") 106 self.q = z 107 # isoriented flag determines whether data is from an oriented sample or 108 # not, should be a selection variable upon entering SESANS data. 109 self._set_cosmat(SElength, zaccept, Rmax) 110 111 def apply(self, Iq): 112 dq = self.q_calc[0][0] 113 Iq = np.reshape(Iq, self._Iq_shape) 114 G0 = self._cos0 * np.sum(Iq) * dq 115 G = np.sum(np.dot(Iq, self._cosmat.T), axis=1) * dq 116 P = G - G0 117 return P 118 88 119 def _set_cosmat(self, SElength, zaccept, Rmax): 89 120 # type: (np.ndarray, float, float) -> None … … 99 130 100 131 cos0 = np.float32(dq / (2 * pi)) 132 cosmat = np.float32(dq / (2 * pi)) * np.cos(q[:, None] * SE[None, :]) 101 133 102 repq = np.tile(q, (SElength.size, 1)).T 103 repSE = np.tile(SElength, (q.size, 1)) 104 cosmat = np.float32(dq / (2 * pi)) * np.cos(repSE * repq) 105 106 self.q_calc = q 134 qx, qy = np.meshgrid(q, q) 135 self._Iq_shape = qx.shape 136 self.q_calc = qx.flatten(), qy.flatten() 107 137 self._cosmat, self._cos0 = cosmat, cos0
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