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hsa7458_v001.py
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hsa7458_v001.py
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# v001 has a fix to two issues with antpos_ideal. The first was that the separation was 14.0 m, not 14.6 m.
# The second was an error in the transciption of positions that led to
# slight non-redundancy on the 10 cm scale. -Josh
import aipy as a
import numpy as n
cm_p_m = 100
class AntennaArray(a.pol.AntennaArray):
def __init__(self, *args, **kwargs):
a.pol.AntennaArray.__init__(self, *args, **kwargs)
self.antpos_ideal = kwargs.pop('antpos_ideal')
def update_gains(self):
gains = self.gain * self.amp_coeffs
for i, gain in zip(self.ant_layout.flatten(), gains.flatten()):
self[i].set_params({'amp_x': gain})
self[i].set_params({'amp_y': gain})
def update_delays(self):
ns, ew = n.indices(self.ant_layout.shape)
dlys = ns * self.tau_ns + ew * self.tau_ew + self.dly_coeffs
for i, tau in zip(self.ant_layout.flatten(), dlys.flatten()):
self[i].set_params({'dly_x': tau})
self[i].set_params({'dly_y': tau + self.dly_xx_to_yy.flatten()[i]})
def update(self):
# self.update_gains()
# self.update_delays()
a.pol.AntennaArray.update(self)
def get_params(self, ant_prms={'*': '*'}):
try:
prms = a.pol.AntennaArray.get_params(self, ant_prms)
except(IndexError):
return {}
for k in ant_prms:
if k == 'aa':
if not prms.has_key('aa'):
prms['aa'] = {}
for val in ant_prms[k]:
if val == 'tau_ns':
prms['aa']['tau_ns'] = self.tau_ns
elif val == 'tau_ew':
prms['aa']['tau_ew'] = self.tau_ew
elif val == 'gain':
prms['aa']['gain'] = self.gain
else:
try:
top_pos = n.dot(self._eq2zen, self[int(k)].pos)
# XXX should multiply this by len_ns to match set_params.
except(ValueError):
continue
if ant_prms[k] == '*':
prms[k].update(
{'top_x': top_pos[0], 'top_y': top_pos[1], 'top_z': top_pos[2]})
else:
for val in ant_prms[k]:
if val == 'top_x':
prms[k]['top_x'] = top_pos[0]
elif val == 'top_y':
prms[k]['top_y'] = top_pos[1]
elif val == 'top_z':
prms[k]['top_z'] = top_pos[2]
return prms
def set_params(self, prms):
changed = a.pol.AntennaArray.set_params(self, prms)
for i, ant in enumerate(self):
ant_changed = False
top_pos = n.dot(self._eq2zen, ant.pos)
try:
top_pos[0] = prms[str(i)]['top_x']
ant_changed = True
except(KeyError):
pass
try:
top_pos[1] = prms[str(i)]['top_y']
ant_changed = True
except(KeyError):
pass
try:
top_pos[2] = prms[str(i)]['top_z']
ant_changed = True
except(KeyError):
pass
if ant_changed:
ant.pos = n.dot(n.linalg.inv(self._eq2zen),
top_pos) / a.const.len_ns * cm_p_m
changed |= ant_changed
try:
self.tau_ns, changed = prms['aa']['tau_ns'], 1
except(KeyError):
pass
try:
self.tau_ew, changed = prms['aa']['tau_ew'], 1
except(KeyError):
pass
try:
self.gain, changed = prms['aa']['gain'], 1
except(KeyError):
pass
if changed:
self.update()
return changed
prms = {
'loc': ('-30:43:17.5', '21:25:41.9'), # KAT, SA (GPS)
'antpos_ideal': {
80: {'top_x': -14.6, 'top_y': -25.28794179, 'top_z': 0.0}, # a0
104: {'top_x': 0.0, 'top_y': -25.28794179, 'top_z': 0.0}, # a1
96: {'top_x': 14.6, 'top_y': -25.28794179, 'top_z': 0.0}, # a2
64: {'top_x': -21.9, 'top_y': -12.6439709, 'top_z': 0.0}, # a3
53: {'top_x': -7.3, 'top_y': -12.6439709, 'top_z': 0.0}, # a4
31: {'top_x': 7.3, 'top_y': -12.6439709, 'top_z': 0.0}, # a5
65: {'top_x': 21.9, 'top_y': -12.6439709, 'top_z': 0.0}, # a5
88: {'top_x': -29.2, 'top_y': 0.0, 'top_z': 0.0}, # a5
9: {'top_x': -14.6, 'top_y': 0.0, 'top_z': 0.0}, # a5
20: {'top_x': 0.0, 'top_y': 0.0, 'top_z': 0.0}, # a5
89: {'top_x': 14.6, 'top_y': 0.0, 'top_z': 0.0}, # a5
43: {'top_x': 29.2, 'top_y': 0.0, 'top_z': 0.0}, # a5
105: {'top_x': -21.9, 'top_y': 12.6439709, 'top_z': 0.0}, # a3
22: {'top_x': -7.3, 'top_y': 12.6439709, 'top_z': 0.0}, # a4
81: {'top_x': 7.3, 'top_y': 12.6439709, 'top_z': 0.0}, # a5
10: {'top_x': 21.9, 'top_y': 12.6439709, 'top_z': 0.0}, # a5
72: {'top_x': -14.6, 'top_y': 25.28794179, 'top_z': 0.0}, # a0
112: {'top_x': 0.0, 'top_y': 25.28794179, 'top_z': 0.0}, # a1
97: {'top_x': 14.6, 'top_y': 25.28794179, 'top_z': 0.0}, # a2
0: {'top_x': -1, 'top_y': -1, 'top_z': -1},
1: {'top_x': -1, 'top_y': -1, 'top_z': -1},
2: {'top_x': -1, 'top_y': -1, 'top_z': -1},
3: {'top_x': -1, 'top_y': -1, 'top_z': -1},
4: {'top_x': -1, 'top_y': -1, 'top_z': -1},
5: {'top_x': -1, 'top_y': -1, 'top_z': -1},
6: {'top_x': -1, 'top_y': -1, 'top_z': -1},
7: {'top_x': -1, 'top_y': -1, 'top_z': -1},
8: {'top_x': -1, 'top_y': -1, 'top_z': -1},
11: {'top_x': -1, 'top_y': -1, 'top_z': -1},
12: {'top_x': -1, 'top_y': -1, 'top_z': -1},
13: {'top_x': -1, 'top_y': -1, 'top_z': -1},
14: {'top_x': -1, 'top_y': -1, 'top_z': -1},
15: {'top_x': -1, 'top_y': -1, 'top_z': -1},
16: {'top_x': -1, 'top_y': -1, 'top_z': -1},
17: {'top_x': -1, 'top_y': -1, 'top_z': -1},
18: {'top_x': -1, 'top_y': -1, 'top_z': -1},
19: {'top_x': -1, 'top_y': -1, 'top_z': -1},
21: {'top_x': -1, 'top_y': -1, 'top_z': -1},
23: {'top_x': -1, 'top_y': -1, 'top_z': -1},
24: {'top_x': -1, 'top_y': -1, 'top_z': -1},
25: {'top_x': -1, 'top_y': -1, 'top_z': -1},
26: {'top_x': -1, 'top_y': -1, 'top_z': -1},
27: {'top_x': -1, 'top_y': -1, 'top_z': -1},
28: {'top_x': -1, 'top_y': -1, 'top_z': -1},
29: {'top_x': -1, 'top_y': -1, 'top_z': -1},
30: {'top_x': -1, 'top_y': -1, 'top_z': -1},
32: {'top_x': -1, 'top_y': -1, 'top_z': -1},
33: {'top_x': -1, 'top_y': -1, 'top_z': -1},
34: {'top_x': -1, 'top_y': -1, 'top_z': -1},
35: {'top_x': -1, 'top_y': -1, 'top_z': -1},
36: {'top_x': -1, 'top_y': -1, 'top_z': -1},
37: {'top_x': -1, 'top_y': -1, 'top_z': -1},
38: {'top_x': -1, 'top_y': -1, 'top_z': -1},
39: {'top_x': -1, 'top_y': -1, 'top_z': -1},
40: {'top_x': -1, 'top_y': -1, 'top_z': -1},
41: {'top_x': -1, 'top_y': -1, 'top_z': -1},
42: {'top_x': -1, 'top_y': -1, 'top_z': -1},
44: {'top_x': -1, 'top_y': -1, 'top_z': -1},
45: {'top_x': -1, 'top_y': -1, 'top_z': -1},
46: {'top_x': -1, 'top_y': -1, 'top_z': -1},
47: {'top_x': -1, 'top_y': -1, 'top_z': -1},
48: {'top_x': -1, 'top_y': -1, 'top_z': -1},
49: {'top_x': -1, 'top_y': -1, 'top_z': -1},
50: {'top_x': -1, 'top_y': -1, 'top_z': -1},
51: {'top_x': -1, 'top_y': -1, 'top_z': -1},
52: {'top_x': -1, 'top_y': -1, 'top_z': -1},
54: {'top_x': -1, 'top_y': -1, 'top_z': -1},
55: {'top_x': -1, 'top_y': -1, 'top_z': -1},
56: {'top_x': -1, 'top_y': -1, 'top_z': -1},
57: {'top_x': -1, 'top_y': -1, 'top_z': -1},
58: {'top_x': -1, 'top_y': -1, 'top_z': -1},
59: {'top_x': -1, 'top_y': -1, 'top_z': -1},
60: {'top_x': -1, 'top_y': -1, 'top_z': -1},
61: {'top_x': -1, 'top_y': -1, 'top_z': -1},
62: {'top_x': -1, 'top_y': -1, 'top_z': -1},
63: {'top_x': -1, 'top_y': -1, 'top_z': -1},
66: {'top_x': -1, 'top_y': -1, 'top_z': -1},
67: {'top_x': -1, 'top_y': -1, 'top_z': -1},
68: {'top_x': -1, 'top_y': -1, 'top_z': -1},
69: {'top_x': -1, 'top_y': -1, 'top_z': -1},
70: {'top_x': -1, 'top_y': -1, 'top_z': -1},
71: {'top_x': -1, 'top_y': -1, 'top_z': -1},
73: {'top_x': -1, 'top_y': -1, 'top_z': -1},
74: {'top_x': -1, 'top_y': -1, 'top_z': -1},
75: {'top_x': -1, 'top_y': -1, 'top_z': -1},
76: {'top_x': -1, 'top_y': -1, 'top_z': -1},
77: {'top_x': -1, 'top_y': -1, 'top_z': -1},
78: {'top_x': -1, 'top_y': -1, 'top_z': -1},
79: {'top_x': -1, 'top_y': -1, 'top_z': -1},
82: {'top_x': -1, 'top_y': -1, 'top_z': -1},
83: {'top_x': -1, 'top_y': -1, 'top_z': -1},
84: {'top_x': -1, 'top_y': -1, 'top_z': -1},
85: {'top_x': -1, 'top_y': -1, 'top_z': -1},
86: {'top_x': -1, 'top_y': -1, 'top_z': -1},
87: {'top_x': -1, 'top_y': -1, 'top_z': -1},
90: {'top_x': -1, 'top_y': -1, 'top_z': -1},
91: {'top_x': -1, 'top_y': -1, 'top_z': -1},
92: {'top_x': -1, 'top_y': -1, 'top_z': -1},
93: {'top_x': -1, 'top_y': -1, 'top_z': -1},
94: {'top_x': -1, 'top_y': -1, 'top_z': -1},
95: {'top_x': -1, 'top_y': -1, 'top_z': -1},
98: {'top_x': -1, 'top_y': -1, 'top_z': -1},
99: {'top_x': -1, 'top_y': -1, 'top_z': -1},
100: {'top_x': -1, 'top_y': -1, 'top_z': -1},
101: {'top_x': -1, 'top_y': -1, 'top_z': -1},
102: {'top_x': -1, 'top_y': -1, 'top_z': -1},
103: {'top_x': -1, 'top_y': -1, 'top_z': -1},
106: {'top_x': -1, 'top_y': -1, 'top_z': -1},
107: {'top_x': -1, 'top_y': -1, 'top_z': -1},
108: {'top_x': -1, 'top_y': -1, 'top_z': -1},
109: {'top_x': -1, 'top_y': -1, 'top_z': -1},
110: {'top_x': -1, 'top_y': -1, 'top_z': -1},
111: {'top_x': -1, 'top_y': -1, 'top_z': -1},
113: {'top_x': -1, 'top_y': -1, 'top_z': -1},
114: {'top_x': -1, 'top_y': -1, 'top_z': -1},
115: {'top_x': -1, 'top_y': -1, 'top_z': -1},
116: {'top_x': -1, 'top_y': -1, 'top_z': -1},
117: {'top_x': -1, 'top_y': -1, 'top_z': -1},
118: {'top_x': -1, 'top_y': -1, 'top_z': -1},
119: {'top_x': -1, 'top_y': -1, 'top_z': -1},
120: {'top_x': -1, 'top_y': -1, 'top_z': -1},
121: {'top_x': -1, 'top_y': -1, 'top_z': -1},
122: {'top_x': -1, 'top_y': -1, 'top_z': -1},
123: {'top_x': -1, 'top_y': -1, 'top_z': -1},
124: {'top_x': -1, 'top_y': -1, 'top_z': -1},
125: {'top_x': -1, 'top_y': -1, 'top_z': -1},
126: {'top_x': -1, 'top_y': -1, 'top_z': -1},
127: {'top_x': -1, 'top_y': -1, 'top_z': -1},
},
'amps': dict(zip(range(128), n.ones(128))),
'amp_coeffs': n.array([1] * 128),
'bp_r': n.array([[1.]] * 128),
'bp_i': n.array([[0., 0., 0.]] * 128),
'twist': n.array([0] * 128),
'beam': a.fit.BeamAlm,
'bm_prms': {
'alm7': n.array(
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10.494782611360524, 0.0, 0.0, -2275.6047141099889, 3.5015128439030572, 0.0, 0.0, 4743.4119902921057, -3.990800723023967, 0.0, 0.0, 3907.2171582824712, 1.4127861605729506, 0.0, 0.0, -12721.282992510121, 2.2920569832139255, 0.0, 0.0, 649.69038288480999, 1.1212365594407105, 0.0, 0.0, -6102.494402847844, -1.6577620524144914, 0.0, 0.0, -8096.9210297207674, 7.7205045824876493, 0.0, 0.0, -1368.9920705052045, -1.5642694932314585, 0.0, 0.0, 5395.9666599335242, -2.1117569522013517, 0.0, 0.0, -1140.01405051295, 1.9906879133936171, 624.80869328162123, 0.0, 0.0, 0.0, 4089.5349396056608, -3.6121520177209665, 0.0, 0.0, -29968.531010741684, 5.7439378149575493, 0.0, 0.0, -13842.366747404836, -0.083076507030891034, 0.0, 0.0, 9251.74658998427, 10.474210268762711, 0.0, 0.0, -4025.1724808612594, 5.0376737683049297, 0.0, 0.0, 4775.3783570389587, 10.664547039447074, 0.0, 0.0, 11976.191214257957, 0.50201620991965934, 0.0, 0.0, 5867.2639428163502, 1.1896716103905389, 0.0, 0.0, 12877.657067925986, 1.8465660318979775, 0.0, 0.0, 16206.111609433263, 4.8246843405078863, 0.0, 0.0, 3610.4854996584972, 3.3516070780476195, 0.0, 0.0, 9661.5351796437808, -5.9380430259292645, 0.0, 0.0, 8685.2531087868465, -0.64821232890848268, 0.0, 0.0, -312.91711936827596, 9.2168609777382926, 0.0, 0.0, 6298.759850966494, 4.4602580767723747, 0.0, 0.0, 3348.3045543307935, -0.38462078919272813, 0.0, 0.0, 488.51289926704931, -2.1128912645941416, -975.52305859373428, 0.0, 0.0, 0.0, -10755.129903571918, 0.30884068431632339, 0.0, 0.0, 3104.2277033433138, 4.7372665647730328, 0.0, 0.0, 9752.9130898821077, -2.0804460962139686, 0.0, 0.0, -9694.8281227787666, 1.64808120580346, 0.0, 0.0, -1622.3829558462212, 8.5067132512126111, 0.0, 0.0, -11558.805406892518, 14.350648555418546, 0.0, 0.0, 8405.0851462397623, -0.72112972624099048, 0.0, 0.0, 15625.638555235859, -1.3670451022237979, 0.0, 0.0, -3147.7771182901865, 4.8662303313693354, 0.0, 0.0, -4682.4501917588223, 3.6582047312104793, 0.0, 0.0, -13101.93913472442, -1.8255379688292537, 0.0, 0.0, -7556.06062439787, -3.2266823357474479, 0.0, 0.0, -6410.2917754375831, -1.3019240449467371, 0.0, 0.0, -7702.2742811075941, 4.2106258495163953, 0.0, 0.0, 2177.1234415980966, -0.84924429602420592, 0.0, 0.0, -7665.7128282976337, 5.3720471902173932, 0.0, 0.0, 4046.9940657058983, 4.6261175146435791, 0.0, 0.0, -211.63279451514836, 2.4440216742659922, 0.0, 0.0, -1188.9555539240885, -5.6516925299338743, 19695.857081475006, 0.0, 0.0, 0.0, 11252.737508494711, -2.458785211828749, 0.0, 0.0, -7232.0338690955987, 0.27253953774259326, 0.0, 0.0, 1123.7638154174197, 4.8837214488794061, 0.0, 0.0, 1215.3034770015856, 2.1029499497563773, 0.0, 0.0, 2552.3298189366842, -4.7821392334415531, 0.0, 0.0, -529.94244708716974, 22.599584036997086, 0.0, 0.0, 560.40615094398663, 13.309094105051802, 0.0, 0.0, 10242.089928115463, 0.92276408985565261, 0.0, 0.0, -7896.9507053769803, -2.1196969544998265, 0.0, 0.0, 397.11700299896523, -0.49174517770122583]
),
'alm0': n.array(
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),
}
}
def get_aa(freqs):
'''Return the AntennaArray to be used for simulation.'''
location = prms['loc']
antennas = []
if not 'antpos' in prms:
prms['antpos'] = prms['antpos_ideal']
nants = len(prms['antpos'])
antpos_ideal = n.zeros(shape=(nants, 3), dtype=float)
tops = {'top_x': 0, 'top_y': 1, 'top_z': 2}
for k in prms['antpos_ideal'].keys():
for i, m in enumerate(prms['antpos_ideal'][k]):
antpos_ideal[k, tops[m]] = prms['antpos_ideal'][k][m]
for i in range(nants):
beam = prms['beam'](freqs, nside=32, lmax=20, mmax=20, deg=7)
try:
beam.set_params(prms['bm_prms'])
except(AttributeError):
pass
phsoff = {'x': [0., 0.], 'y': [0., 0.]}
amp = prms['amps'].get(i, 4e-3)
amp = {'x': amp, 'y': amp}
bp_r = prms['bp_r'][i]
bp_r = {'x': bp_r, 'y': bp_r}
bp_i = prms['bp_i'][i]
bp_i = {'x': bp_i, 'y': bp_i}
twist = prms['twist'][i]
antennas.append(a.pol.Antenna(0., 0., 0., beam, phsoff=phsoff,
amp=amp, bp_r=bp_r, bp_i=bp_i, pointing=(0., n.pi / 2, twist)))
# antennas.append(a.pol.Antenna(0., 0., 0., beam, phsoff=phsoff))
# aa = AntennaArray(prms['loc'], antennas, tau_ew=prms['tau_ew'], tau_ns=prms['tau_ns'],
# gain=prms['gain'], amp_coeffs=prms['amp_coeffs'],
# dly_coeffs=prms['dly_coeffs'], dly_xx_to_yy=prms['dly_xx_to_yy'],
# ant_layout=prms['ant_layout'])
aa = AntennaArray(prms['loc'], antennas, antpos_ideal=antpos_ideal)
pos_prms = {}
for i in range(nants):
pos_prms[str(i)] = prms['antpos'][i]
aa.set_params(pos_prms)
return aa