def azel4point(ra0=-10,
dec0=-57.5,
mlen=365,
nsamp=1e4,
lat=-22.96,
lon=-67.79):
'''
Simple function to see what fraction of the day you can observe the
Bicep patch (default value).
Keyword arguments
---------
ra0 : float
Ra coord of point on the sky [deg] (default : -10)
dec0 : float
Ra coord of point on the sky [deg] (default : -57.5)
mlen : int
The mission length [days] (default : 365)
nsamp : in
The number of samples used in estimate
lat : float
Latitude for observation [deg] (default : -22.96, Atacama)
lon : flaot
Longitude for observation [deg] (default : -67.79, Atacama)
'''
import time
import qpoint as qp
Q = qp.QMap()
nsec = mlen * 24 * 60 * 60
dt = nsec / float(nsamp)
ctime = time.time() + np.arange(0, nsec, dt, dtype=float)
az, el, _ = Q.radec2azel(ra0, dec0, 0, lon, lat, ctime)
print('Total observation time is {:4.1f} days'.\
format((ctime[-1]-ctime[0])/24./3600.))
observable_ratio = np.sum(el > 45) / float(len(ctime))
print('This patch is observable {:4.1f}% of the time'.\
format(100*observable_ratio))
plt.plot(ctime, az)
plt.ylabel('Azimuth [deg]')
plt.savefig('../scratch/img/az.png')
plt.close()
plt.plot(ctime, el)
plt.ylabel('Elevation [deg]')
plt.savefig('../scratch/img/el.png')
plt.close()
plt.plot(az, el)
plt.savefig('../scratch/img/azel.png')
plt.close()
import qpoint as qp
import numpy as np
import healpy as hp
from spider_analysis.map import synfast, cartview
import pylab
# initialize, maybe change a few options from their defaults
Q = qp.QMap(nside=256,
pol=True,
accuracy='low',
fast_math=True,
mean_aber=True)
# dumb simulation
n = 100000
ctime = 1418662800. + np.arange(n) / 100.
az = 100. + 40. * np.sin(2 * np.pi * np.arange(n) / 4000.)
el = 32. + 10. * np.mod(np.arange(n, dtype=float), 500000.) / 500000.
el = np.floor(el / 0.1) * 0.1
pitch = None
roll = None
lat = -77.6 * np.ones_like(ctime)
lon = 165.7 - np.arange(n) * 3 / 850000.
# step waveplate twice a day...
lmst = Q.lmst(ctime, lon)
hwp = np.ones_like(lmst)
hwp[lmst <= 12] = 22.5
hwp[lmst > 12] = 45.0
q_hwp = Q.hwp_quat(hwp)
comm = MPI.COMM_WORLD rank = comm.Get_rank() size = comm.Get_size() size = 1 if not size else size chunksize = 100003 fsamp = 100 scan_speed = 1 az_throw = 50 scan_period = 2 * az_throw / float(scan_speed) # in deg. lat = 10 lon = 10 # all ranks init QMap Q = qp.QMap(pol=True) ctime = np.arange(chunksize, dtype=float) ctime /= float(fsamp) ctime += time.time() az = np.arange(chunksize, dtype=float) az *= (2 * np.pi / scan_period / float(fsamp)) np.sin(az, out=az) np.arcsin(az, out=az) az *= (az_throw / np.pi) el = np.zeros(chunksize, dtype=float) * 10. # all ranks t0 = time.time()
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import qpoint as qp
import healpy as hp
import quaternion as qt
import time
Q = qp.QMap(fast_pix=True)
nside = 64
q_off = Q.det_offset(0, 0, 0)
print q_off
ctime = time.time()
roll = 90
az_off = 40
el_off = 20
polang = 40
q_bore = Q.azel2bore(0, 0, None, None, 0, -89.9, ctime)
pix, sin2psi, cos2psi = Q.bore2pix(q_off,
np.array([ctime]),
q_bore,
nside=nside,
pol=True)
q_off = Q.det_offset(az_off, el_off, polang)
print 'det offset'
print q_off
print Q.quat2radecpa(q_off)