def match_kdtree_catalog(wcs, catfn):
from astrometry.libkd.spherematch import (
tree_open,
tree_close,
tree_build_radec,
tree_free,
trees_match,
tree_permute,
)
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
rc, dc = wcs.get_center()
rr = wcs.get_radius()
kd = tree_open(catfn)
kd2 = tree_build_radec(np.array([rc]), np.array([dc]))
r = deg2dist(rr)
I, J, nil = trees_match(kd, kd2, r, permuted=False)
# HACK
# I2,J,d = trees_match(kd, kd2, r)
xyz = spherematch_c.kdtree_get_positions(kd, I.astype(np.uint32))
# print 'I', I
I2 = tree_permute(kd, I)
# print 'I2', I2
tree_free(kd2)
tree_close(kd)
tra, tdec = xyztoradec(xyz)
return tra, tdec, I2
def __call__(self, ra, dec, spherematch=True, radius=0, contains=False):
T = self.tab
# HACK - magic 13x9 +1 arcmin.
if radius == 0:
radius = sqrt(14.**2 + 10.**2)/2.
d2 = arcmin2distsq(radius)
if self.sdssxyz is None:
self.sdssxyz = radectoxyz(T.ra, T.dec)
if not spherematch:
rcfs = []
for r,d in broadcast(ra,dec):
xyz = radectoxyz(r,d)
dist2s = sum((xyz - self.sdssxyz)**2, axis=1)
I = flatnonzero(dist2s < d2)
rcfs.append(zip(T[I].run, T[I].camcol,
T[I].field, T[I].ra, T[I].dec))
else:
from astrometry.libkd import spherematch
if self.kd is None:
self.kd = spherematch.tree_build(self.sdssxyz)
rds = array([x for x in broadcast(ra,dec)])
xyz = radectoxyz(rds[:,0], rds[:,1]).astype(double)
kd2 = spherematch.tree_build(xyz)
notself = False
inds,D = spherematch.trees_match(self.kd, kd2, np.sqrt(d2),
notself=notself, permuted=True)
if len(inds) == 0:
return []
I = np.argsort(D[:,0])
inds = inds[I]
rcfs = [[] for i in range(len(rds))]
cols = T.columns()
gotem = False
if contains:
if ('ramin' in cols and 'ramax' in cols and
'decmin' in cols and 'decmax' in cols):
gotem = True
for j,i in inds:
(r,d) = rds[i]
if (r >= T.ramin[j] and r <= T.ramax[j]
and d >= T.decmin[j] and d <= T.decmax[j]):
rcfs[i].append((T.run[j], T.camcol[j],
T.field[j], T.ra[j], T.dec[j]))
#print '%i fields contain the first query RA,Dec' % len(rcfs[0])
else:
print('you requested fields *containing* the query RA,Dec,')
print('but the fields list file \"%s\" doesn\'t contain RAMIN,RAMAX,DECMIN, and DECMAX columns' % tablefn)
if not gotem:
for j,i in inds:
rcfs[i].append((T.run[j], T.camcol[j], T.field[j],
T.ra[j], T.dec[j]))
if isscalar(ra) and isscalar(dec):
return rcfs[0]
return rcfs
def _match_tile(X):
tid, tile_ra, tile_dec, tile_obstime, tile_theta, tile_obsha, match_radius = X
loc_ra, loc_dec = xy2radec(hw, tile_ra, tile_dec, tile_obstime, tile_theta,
tile_obsha, stuck_x, stuck_y, False, 0)
kd = tree_build_radec(loc_ra, loc_dec)
I, J, d = trees_match(starkd, kd, match_radius)
print('Tile', tid, 'matched', len(I), 'stars')
if len(I):
res = tid, I, loc_ra[J], loc_dec[J], stuck_loc[J], np.rad2deg(
d) * 3600.
else:
res = None
return res
def match_kdtree_catalog(wcs, catfn):
from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match, tree_permute
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
rc,dc = wcs.get_center()
rr = wcs.get_radius()
kd = tree_open(catfn)
kd2 = tree_build_radec(np.array([rc]), np.array([dc]))
r = deg2dist(rr)
I,J,nil = trees_match(kd, kd2, r, permuted=False)
del kd2
xyz = kd.get_data(I.astype(np.uint32))
I = kd.permute(I)
del kd
tra,tdec = xyztoradec(xyz)
return tra, tdec, I
def match_kdtree_catalog(wcs, catfn):
from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match, tree_permute
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
rc,dc = wcs.get_center()
rr = wcs.get_radius()
kd = tree_open(catfn)
kd2 = tree_build_radec(np.array([rc]), np.array([dc]))
r = deg2dist(rr)
I,J,nil = trees_match(kd, kd2, r, permuted=False)
del kd2
xyz = kd.get_data(I.astype(np.uint32))
I = kd.permute(I)
del kd
tra,tdec = xyztoradec(xyz)
return tra, tdec, I
def match_kdtree_catalog(wcs, catfn):
from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match, tree_permute
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
rc, dc = wcs.get_center()
rr = wcs.get_radius()
kd = tree_open(catfn)
kd2 = tree_build_radec(np.array([rc]), np.array([dc]))
r = deg2dist(rr)
I, J, nil = trees_match(kd, kd2, r, permuted=False)
# HACK
#I2,J,d = trees_match(kd, kd2, r)
xyz = spherematch_c.kdtree_get_positions(kd, I.astype(np.uint32))
#print 'I', I
I2 = tree_permute(kd, I)
#print 'I2', I2
tree_free(kd2)
tree_close(kd)
tra, tdec = xyztoradec(xyz)
return tra, tdec, I2
def plot_wcs_outline(wcsfn,
plotfn,
W=256,
H=256,
width=36,
zoom=True,
zoomwidth=3.6,
grid=10,
hd=False,
hd_labels=False,
tycho2=False):
anutil.log_init(3)
#anutil.log_set_level(3)
wcs = anutil.Tan(wcsfn, 0)
ra, dec = wcs.radec_center()
plot = ps.Plotstuff(outformat='png', size=(W, H), rdw=(ra, dec, width))
plot.linestep = 1.
plot.color = 'verydarkblue'
plot.plot('fill')
plot.fontsize = 12
#plot.color = 'gray'
# dark gray
plot.rgb = (0.3, 0.3, 0.3)
if grid is not None:
plot.plot_grid(*([grid] * 4))
plot.rgb = (0.4, 0.6, 0.4)
ann = plot.annotations
ann.NGC = ann.bright = ann.HD = 0
ann.constellations = 1
ann.constellation_labels = 1
ann.constellation_labels_long = 1
plot.plot('annotations')
plot.stroke()
ann.constellation_labels = 0
ann.constellation_labels_long = 0
ann.constellation_lines = 0
ann.constellation_markers = 1
plot.markersize = 3
plot.rgb = (0.4, 0.6, 0.4)
plot.plot('annotations')
plot.fill()
ann.constellation_markers = 0
ann.bright_labels = False
ann.bright = True
plot.markersize = 2
if zoom >= 2:
ann.bright_labels = True
plot.plot('annotations')
ann.bright = False
ann.bright_labels = False
plot.fill()
if hd:
ann.HD = True
ann.HD_labels = hd_labels
ps.plot_annotations_set_hd_catalog(ann, settings.HENRY_DRAPER_CAT)
plot.plot('annotations')
plot.stroke()
ann.HD = False
ann.HD_labels = False
if tycho2 and settings.TYCHO2_KD:
from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
kd = tree_open(settings.TYCHO2_KD)
# this is a bit silly: build a tree with a single point, then do match()
kd2 = tree_build_radec(np.array([ra]), np.array([dec]))
r = deg2dist(width * np.sqrt(2.) / 2.)
#r = deg2dist(wcs.radius())
I, nil, nil = trees_match(kd, kd2, r, permuted=False)
del nil
#print 'Matched', len(I)
xyz = spherematch_c.kdtree_get_positions(kd, I)
del I
tree_free(kd2)
tree_close(kd)
#print >>sys.stderr, 'Got', xyz.shape, xyz
tra, tdec = xyztoradec(xyz)
#print >>sys.stderr, 'RA,Dec', ra,dec
plot.apply_settings()
for r, d in zip(tra, tdec):
plot.marker_radec(r, d)
plot.fill()
ann.NGC = 1
plot.plot('annotations')
ann.NGC = 0
plot.color = 'white'
plot.lw = 3
out = plot.outline
out.wcs_file = wcsfn
plot.plot('outline')
if zoom:
# MAGIC width, height are arbitrary
zoomwcs = anutil.anwcs_create_box(ra, dec, zoomwidth, 1000, 1000)
out.wcs = zoomwcs
plot.lw = 1
plot.dashed(3)
plot.plot('outline')
plot.write(plotfn)
def in_footprint(parent, nside=2048, dr='dr9'):
"""Find all galaxies in the DESI footprint.
"""
import time
import healpy as hp
import legacyhalos.misc
#tiles = SGA.io.read_desi_tiles(verbose=verbose)
#indesi = SGA.misc.is_point_in_desi(tiles, parent['RA'], parent['DEC']).astype(bool)
parentpix = legacyhalos.misc.radec2pix(nside, parent['RA'], parent['DEC'])
#parentpix = np.hstack((parentpix, hp.pixelfunc.get_all_neighbours(nside, parentpix, nest=True).flatten()))
drdir = os.path.join(sample_dir(), dr)
bands = ('g', 'r', 'z')
camera = ('90prime', 'mosaic', 'decam')
indesi = dict()
for cam in camera:
for band in bands:
indesi.update(
{'{}_{}'.format(cam, band): np.zeros(len(parent), dtype=bool)})
#indesi = np.zeros(len(parent), dtype=bool)
t0 = time.time()
for cam, radius in zip(camera, (0.44, 0.21, 0.17)):
if False:
from astrometry.libkd.spherematch import trees_match, tree_open
kdccds = tree_open(
os.path.join(drdir,
'survey-ccds-{}-{}.kd.fits'.format(cam, dr)))
I, J, dd = trees_match(kdparent, kdccds,
np.radians(radius)) #, nearest=True)
else:
ccdsfile = os.path.join(
drdir, 'survey-ccds-{}-{}.kd.fits'.format(cam, dr))
ccds = fitsio.read(ccdsfile)
ccds = ccds[ccds['ccd_cuts'] == 0]
print('Read {} CCDs from {}'.format(len(ccds), ccdsfile))
for band in bands:
ww = ccds['filter'] == band
if np.sum(ww) > 0:
# add the neighboring healpixels to protect against edge effects
ccdpix = legacyhalos.misc.radec2pix(
nside, ccds['ra'][ww], ccds['dec'][ww])
ccdpix = np.hstack(
(ccdpix,
hp.pixelfunc.get_all_neighbours(nside,
ccdpix,
nest=True).flatten()))
if np.sum(
ccdpix == -1
) > 0: # remove the "no neighbors" healpixel, if it exists
ccdpix = np.delete(ccdpix, np.where(ccdpix == -1)[0])
I = np.isin(parentpix, ccdpix)
indesi['{}_{}'.format(cam, band)][I] = True
else:
I = [False]
#print('Found {} galaxies in {} {} footprint in {:.1f} sec'.format(np.sum(I), cam, time.time() - t0))
print(' Found {} galaxies in {} {} footprint.'.format(
np.sum(I), cam, band))
print('Total time to find galaxies in footprint = {:.1f} sec'.format(
time.time() - t0))
parent['IN_FOOTPRINT_NORTH'] = indesi['90prime_g'] | indesi[
'90prime_r'] | indesi['mosaic_z']
parent['IN_FOOTPRINT_NORTH_GRZ'] = indesi['90prime_g'] & indesi[
'90prime_r'] & indesi['mosaic_z']
parent['IN_FOOTPRINT_SOUTH'] = indesi['decam_g'] | indesi[
'decam_r'] | indesi['decam_z']
parent['IN_FOOTPRINT_SOUTH_GRZ'] = indesi['decam_g'] & indesi[
'decam_r'] & indesi['decam_z']
parent['IN_FOOTPRINT'] = parent['IN_FOOTPRINT_NORTH'] | parent[
'IN_FOOTPRINT_SOUTH']
parent['IN_FOOTPRINT_GRZ'] = parent['IN_FOOTPRINT_NORTH_GRZ'] | parent[
'IN_FOOTPRINT_SOUTH_GRZ']
#plt.scatter(parent['RA'], parent['DEC'], s=1)
#plt.scatter(parent['RA'][indesi], parent['DEC'][indesi], s=1)
#plt.xlim(360, 0)
#plt.show()
#bb = parent[parent['IN_FOOTPRINT_NORTH_GRZ'] & parent['IN_FOOTPRINT_SOUTH_GRZ']]
#plt.scatter(bb['RA'], bb['DEC'], s=1)
#plt.xlim(300, 90) ; plt.ylim(30, 36)
#plt.axhline(y=32.375, color='k')
#plt.xlabel('RA') ; plt.ylabel('Dec')
#plt.show()
print(
' Identified {}/{} ({:.2f}%) galaxies inside and {}/{} ({:.2f}%) galaxies outside the DESI footprint.'
.format(np.sum(parent['IN_FOOTPRINT']), len(parent),
100 * np.sum(parent['IN_FOOTPRINT']) / len(parent),
np.sum(~parent['IN_FOOTPRINT']), len(parent),
100 * np.sum(~parent['IN_FOOTPRINT']) / len(parent)))
return parent
continue ann.add_target(T.ra[i], T.dec[i], 'Abell %i' % T.aco[i]) if opt.t2cat: from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match from astrometry.libkd import spherematch_c from astrometry.util.starutil_numpy import deg2dist, xyztoradec import numpy as np import sys wcs = plot.wcs rc,dc = wcs.get_center() rr = wcs.get_radius() kd = tree_open(opt.t2cat) kd2 = tree_build_radec(np.array([rc]), np.array([dc])) r = deg2dist(rr) I,J,d = trees_match(kd, kd2, r, permuted=False) # HACK I2,J,d = trees_match(kd, kd2, r) xyz = spherematch_c.kdtree_get_positions(kd, I) tree_free(kd2) tree_close(kd) tra,tdec = xyztoradec(xyz) T = fits_table(opt.t2cat, hdu=6) for r,d,t1,t2,t3 in zip(tra,tdec, T.tyc1[I2], T.tyc2[I2], T.tyc3[I2]): if not plot.wcs.is_inside(r, d): continue ann.add_target(r, d, 'Tycho-2 %i-%i-%i' % (t1,t2,t3)) plot.color = opt.textcolor plot.fontsize = opt.textsize
t0 = time()
(inds,dists) = spherematch.nearest(x1, x2, r)
dt = time() - t0
t0 = time()
inds = spherematch.match(x1, x2, r, indexlist=True)
dt = time() - t0
kd = spherematch.tree_build(x1)
kd.print()
R = spherematch.tree_search(kd, x2[0,:], 1.)
print('tree_search:', len(R), 'results')
spherematch.tree_close(kd)
kd2 = spherematch.tree_build(x2)
I,J,d = spherematch.trees_match(kd, kd2, 1.)
print('trees_match:', len(I), 'matches')
I,J,d = spherematch.trees_match(kd, kd2, 1., nearest=True)
print('trees_match:', len(I), 'matches (nearest)')
print('Kd bounding-box:', spherematch.tree_bbox(kd))
print('Kd bounding-box:', kd.bbox)
print('Kd data:', spherematch.tree_data(kd, np.array([0,3,5]).astype(np.uint32)))
print('Kd data:', kd.get_data(np.array([0,3,5]).astype(np.uint32)))
print('Permute:', spherematch.tree_permute(kd, np.array([3,5,7]).astype(np.int32)))
ra = np.append(ra, ra[0])
dec = T.dec[hull.vertices]
dec = np.append(dec, dec[0])
hulls.append((ra, dec))
aligns = {}
#for i in []:
for i in range(len(kds)):
for j in range(i + 1, len(kds)):
print('Matching trees', i, 'and', j)
r_arcsec = 0.2
radius = np.deg2rad(r_arcsec / 3600)
I, J, d2 = trees_match(kds[i], kds[j], radius)
print(len(I), 'matches')
if len(I) == 0:
continue
Ti = TT[i]
Tj = TT[j]
dec = Ti[I].dec
cosdec = np.cos(np.deg2rad(dec))
dr = (Ti[I].ra - Tj[J].ra) * cosdec * 3600.
dd = (Ti[I].dec - Tj[J].dec) * 3600.
if False:
al = Alignment(Ti, Tj, searchradius=r_arcsec)
print('Aligning...')
if not al.shift():
def plot_wcs_outline(wcsfn, plotfn, W=256, H=256, width=36, zoom=True,
zoomwidth=3.6, grid=10, hd=False, hd_labels=False,
tycho2=False):
anutil.log_init(3)
#anutil.log_set_level(3)
wcs = anutil.Tan(wcsfn, 0)
ra,dec = wcs.radec_center()
plot = ps.Plotstuff(outformat='png', size=(W, H), rdw=(ra,dec,width))
plot.linestep = 1.
plot.color = 'verydarkblue'
plot.plot('fill')
plot.fontsize = 12
#plot.color = 'gray'
# dark gray
plot.rgb = (0.3,0.3,0.3)
if grid is not None:
plot.plot_grid(*([grid]*4))
plot.rgb = (0.4, 0.6, 0.4)
ann = plot.annotations
ann.NGC = ann.bright = ann.HD = 0
ann.constellations = 1
ann.constellation_labels = 1
ann.constellation_labels_long = 1
plot.plot('annotations')
plot.stroke()
ann.constellation_labels = 0
ann.constellation_labels_long = 0
ann.constellation_lines = 0
ann.constellation_markers = 1
plot.markersize = 3
plot.rgb = (0.4, 0.6, 0.4)
plot.plot('annotations')
plot.fill()
ann.constellation_markers = 0
ann.bright_labels = False
ann.bright = True
plot.markersize = 2
if zoom >= 2:
ann.bright_labels = True
plot.plot('annotations')
ann.bright = False
ann.bright_labels = False
plot.fill()
if hd:
ann.HD = True
ann.HD_labels = hd_labels
ps.plot_annotations_set_hd_catalog(ann, settings.HENRY_DRAPER_CAT)
plot.plot('annotations')
plot.stroke()
ann.HD = False
ann.HD_labels = False
if tycho2:
from astrometry.libkd.spherematch import tree_open, tree_close, tree_build_radec, tree_free, trees_match
from astrometry.libkd import spherematch_c
from astrometry.util.starutil_numpy import deg2dist, xyztoradec
import numpy as np
import sys
kd = tree_open(settings.TYCHO2_KD)
# this is a bit silly: build a tree with a single point, then do match()
kd2 = tree_build_radec(np.array([ra]), np.array([dec]))
r = deg2dist(width * np.sqrt(2.) / 2.)
#r = deg2dist(wcs.radius())
I,J,d = trees_match(kd, kd2, r, permuted=False)
del J
del d
#print 'Matched', len(I)
xyz = spherematch_c.kdtree_get_positions(kd, I)
del I
tree_free(kd2)
tree_close(kd)
#print >>sys.stderr, 'Got', xyz.shape, xyz
tra,tdec = xyztoradec(xyz)
#print >>sys.stderr, 'RA,Dec', ra,dec
plot.apply_settings()
for r,d in zip(tra,tdec):
plot.marker_radec(r,d)
plot.fill()
ann.NGC = 1
plot.plot('annotations')
ann.NGC = 0
plot.color = 'white'
plot.lw = 3
out = plot.outline
out.wcs_file = wcsfn
plot.plot('outline')
if zoom:
# MAGIC width, height are arbitrary
zoomwcs = anutil.anwcs_create_box(ra, dec, zoomwidth, 1000,1000)
out.wcs = zoomwcs
plot.lw = 1
plot.dashed(3)
plot.plot('outline')
plot.write(plotfn)
(inds,dists) = spherematch.nearest(x1, x2, r)
dt = time() - t0
t0 = time()
inds = spherematch.match(x1, x2, r, indexlist=True)
dt = time() - t0
kd = spherematch.tree_build(x1)
spherematch.tree_print(kd)
kd.print()
R = spherematch.tree_search(kd, x2[0,:], 1.)
print('tree_search:', len(R), 'results')
spherematch.tree_close(kd)
kd2 = spherematch.tree_build(x2)
I,J,d = spherematch.trees_match(kd, kd2, 1.)
print('trees_match:', len(I), 'matches')
I,J,d = spherematch.trees_match(kd, kd2, 1., nearest=True)
print('trees_match:', len(I), 'matches (nearest)')
print('Kd bounding-box:', spherematch.tree_bbox(kd))
print('Kd bounding-box:', kd.bbox)
print('Kd data:', spherematch.tree_data(kd, np.array([0,3,5]).astype(np.uint32)))
print('Kd data:', kd.get_data(np.array([0,3,5]).astype(np.uint32)))
print('Permute:', spherematch.tree_permute(kd, np.array([3,5,7]).astype(np.int32)))
def find_alignments(fns, wcsfns, gaia_fn, aff_fn, aligned_fn):
from astrometry.libkd.spherematch import tree_build_radec, trees_match
from astrometry.libkd.spherematch import match_radec
from astrometry.util.plotutils import plothist
from astrometry.util.util import Tan
import fitsio
from astrom_common import getwcsoutline
from singles import find_overlaps
if True:
WCS = []
for fn in wcsfns:
wcs = Tan(fn)
WCS.append(wcs)
names = [fn.replace('-bright.fits', '') for fn in fns]
outlines = [getwcsoutline(wcs) for wcs in WCS]
overlaps, areas = find_overlaps(outlines)
print('Reading tables...')
TT = [fits_table(fn) for fn in fns]
print('Building trees...')
kds = [tree_build_radec(T.ra, T.dec) for T in TT]
for T, name in zip(TT, names):
T.name = np.array([name] * len(T))
allra = np.hstack([T.ra for T in TT])
alldec = np.hstack([T.dec for T in TT])
minra = np.min(allra)
maxra = np.max(allra)
mindec = np.min(alldec)
maxdec = np.max(alldec)
print('RA,Dec range:', minra, maxra, mindec, maxdec)
plothist(allra, alldec)
plt.axis([maxra, minra, mindec, maxdec])
plt.xlabel('RA (deg)')
plt.ylabel('Dec (deg)')
plt.savefig('match-all.png')
Tref = fits_table(gaia_fn)
r_arcsec = 0.2
I, J, d = match_radec(Tref.ra, Tref.dec, allra, alldec, r_arcsec / 3600.)
dec = alldec[J]
cosdec = np.cos(np.deg2rad(dec))
dr = (Tref.ra[I] - allra[J]) * cosdec * 3600.
dd = (Tref.dec[I] - alldec[J]) * 3600.
plt.clf()
rr = (-r_arcsec * 1000, +r_arcsec * 1000)
plothist(dr * 1000., dd * 1000., nbins=100, range=(rr, rr))
plt.xlabel('dRA (milli-arcsec)')
plt.ylabel('dDec (milli-arcsec)')
plt.savefig('match-all-ref-before.png')
# Initial matching of all stars
r_arcsec = 0.2
I, J, d = match_radec(allra,
alldec,
allra,
alldec,
r_arcsec / 3600.,
notself=True)
dec = alldec[I]
cosdec = np.cos(np.deg2rad(dec))
dr = (allra[I] - allra[J]) * cosdec * 3600.
dd = (alldec[I] - alldec[J]) * 3600.
plt.clf()
rr = (-r_arcsec * 1000, +r_arcsec * 1000)
plothist(dr * 1000., dd * 1000., nbins=100, range=(rr, rr))
plt.xlabel('dRA (milli-arcsec)')
plt.ylabel('dDec (milli-arcsec)')
plt.savefig('match-all-before.png')
hulls = []
from scipy.spatial import ConvexHull
for T in TT:
hull = ConvexHull(np.vstack((T.ra, T.dec)).T)
ra = T.ra[hull.vertices]
ra = np.append(ra, ra[0])
dec = T.dec[hull.vertices]
dec = np.append(dec, dec[0])
hulls.append((ra, dec))
aligns = {}
#for i in []:
for i in range(len(kds)):
for j in range(i + 1, len(kds)):
print('Matching trees', i, 'and', j)
r_arcsec = 0.2
radius = np.deg2rad(r_arcsec / 3600)
I, J, d2 = trees_match(kds[i], kds[j], radius)
print(len(I), 'matches')
if len(I) == 0:
continue
Ti = TT[i]
Tj = TT[j]
dec = Ti[I].dec
cosdec = np.cos(np.deg2rad(dec))
dr = (Ti[I].ra - Tj[J].ra) * cosdec * 3600.
dd = (Ti[I].dec - Tj[J].dec) * 3600.
if False:
al = Alignment(Ti, Tj, searchradius=r_arcsec)
print('Aligning...')
if not al.shift():
print('Failed to find Alignment between fields')
continue
aligns[(i, j)] = al
plt.clf()
plotalignment(al)
plt.savefig('match-align-%02i-%02i.png' % (i, j))
plt.clf()
#plothist(np.append(Ti.ra, Tj.ra), np.append(Ti.dec, Tj.dec), docolorbar=False, doclf=False, dohot=False,
# imshowargs=dict(cmap=antigray))
plothist(Ti.ra[I], Ti.dec[I], docolorbar=False, doclf=False)
r, d = hulls[i]
plt.plot(r, d, 'r-')
r, d = hulls[j]
plt.plot(r, d, 'b-')
mra = Ti.ra[I]
mdec = Ti.dec[I]
mnra = np.min(mra)
mxra = np.max(mra)
mndec = np.min(mdec)
mxdec = np.max(mdec)
plt.plot([mnra, mnra, mxra, mxra, mnra],
[mndec, mxdec, mxdec, mndec, mndec], 'g-')
plt.axis([maxra, minra, mindec, maxdec])
plt.xlabel('RA (deg)')
plt.ylabel('Dec (deg)')
plt.savefig('match-radec-%02i-%02i.png' % (i, j))
plt.clf()
rr = (-r_arcsec, +r_arcsec)
plothist(dr, dd, nbins=100, range=(rr, rr))
plt.xlabel('dRA (arcsec)')
plt.ylabel('dDec (arcsec)')
plt.savefig('match-dradec-%02i-%02i.png' % (i, j))
#for roundi,(Nk,R) in enumerate(NkeepRads):
refrad = 0.15
targetrad = 0.005
ps = PlotSequence('shift')
from astrom_intra import intrabrickshift
from singles import plot_all_alignments
#Rads = [0.25, 0.1]
Rads = [0.2, 0.050, 0.020]
#Rads = [0.1]
affs = None
# this is the reference point around which rotations take place, NOT reference catalog stars.
refrd = None
for roundi, R in enumerate(Rads):
if roundi > 0:
refrad = 0.050
TT1 = TT
nb = int(np.ceil(R / targetrad))
nb = max(nb, 5)
if nb % 2 == 0:
nb += 1
print('Round', roundi + 1, ': matching with radius', R)
print('Nbins:', nb)
# kwargs to pass to intrabrickshift
ikwargs = {}
minoverlap = 0.01
tryoverlaps = (overlaps > minoverlap)
ikwargs.update(
do_affine=True, #mp=mp,
#alignplotargs=dict(bins=25),
alignplotargs=dict(bins=50),
overlaps=tryoverlaps)
ikwargs.update(ref=Tref, refrad=refrad)
# kwargs to pass to Alignment
akwargs = {}
i1 = intrabrickshift(TT1,
matchradius=R,
refradecs=refrd,
align_kwargs=dict(histbins=nb, **akwargs),
**ikwargs)
refrd = i1.get_reference_radecs()
filts = ['' for n in names]
ap = i1.alplotgrid
Nk = 100000
plot_all_alignments(ap, R * 1000, refrad * 1000, roundi + 1, names,
filts, ps, overlaps, outlines, Nk)
for T, aff in zip(TT, i1.affines):
T.ra, T.dec = aff.apply(T.ra, T.dec)
if affs is None:
affs = i1.affines
else:
for a, a2 in zip(affs, i1.affines):
a.add(a2)
from astrom_common import Affine
T = Affine.toTable(affs)
T.filenames = fns
#T.flt = fltfns
#T.gst = gstfns
#T.chip = chips
# FAKE -- used as a name in alignment_plots
T.gst = np.array([n + '.gst.fits' for n in names])
T.writeto(aff_fn)
# Final matching of all stars
allra = np.hstack([T.ra for T in TT])
alldec = np.hstack([T.dec for T in TT])
r_arcsec = 0.2
I, J, d = match_radec(allra,
alldec,
allra,
alldec,
r_arcsec / 3600.,
notself=True)
dec = alldec[I]
cosdec = np.cos(np.deg2rad(dec))
dr = (allra[I] - allra[J]) * cosdec * 3600.
dd = (alldec[I] - alldec[J]) * 3600.
plt.clf()
rr = (-r_arcsec * 1000, +r_arcsec * 1000)
plothist(dr * 1000., dd * 1000., nbins=100, range=(rr, rr))
plt.xlabel('dRA (milli-arcsec)')
plt.ylabel('dDec (milli-arcsec)')
plt.savefig('match-all-after.png')
I, J, d = match_radec(Tref.ra, Tref.dec, allra, alldec, r_arcsec / 3600.)
dec = alldec[J]
cosdec = np.cos(np.deg2rad(dec))
dr = (Tref.ra[I] - allra[J]) * cosdec * 3600.
dd = (Tref.dec[I] - alldec[J]) * 3600.
plt.clf()
rr = (-r_arcsec * 1000, +r_arcsec * 1000)
plothist(dr * 1000., dd * 1000., nbins=100, range=(rr, rr))
plt.xlabel('dRA (milli-arcsec)')
plt.ylabel('dDec (milli-arcsec)')
plt.savefig('match-all-ref-after.png')
r_arcsec = 0.02
I, J, d = match_radec(allra,
alldec,
allra,
alldec,
r_arcsec / 3600.,
notself=True)
dec = alldec[I]
cosdec = np.cos(np.deg2rad(dec))
dr = (allra[I] - allra[J]) * cosdec * 3600.
dd = (alldec[I] - alldec[J]) * 3600.
plt.clf()
rr = (-r_arcsec * 1000, +r_arcsec * 1000)
plothist(dr * 1000., dd * 1000., nbins=100, range=(rr, rr))
plt.xlabel('dRA (milli-arcsec)')
plt.ylabel('dDec (milli-arcsec)')
plt.savefig('match-all-after2.png')
T = fits_table()
T.ra = allra
T.dec = alldec
for col in [
'f814w_vega', 'f475w_vega', 'f336w_vega', 'f275w_vega',
'f110w_vega', 'f160w_vega', 'name'
]:
T.set(col, np.hstack([t.get(col) for t in TT]))
T.writeto(aligned_fn)
if False:
from singles import alignment_plots
dataset = 'M31'
Nkeep = 100000
R = 0.1
minoverlap = 0.01
perfield = False
nocache = True
from astrometry.util.multiproc import multiproc
mp = multiproc()
filts = ['F475W' for n in names]
chips = [-1] * len(names)
exptimes = [1] * len(names)
Nall = [0] * len(names)
rd = (minra, maxra, mindec, maxdec)
cnames = names
meta = (chips, names, cnames, filts, exptimes, Nall, rd)
alignment_plots(afffn,
dataset,
Nkeep,
0,
R,
minoverlap,
perfield,
nocache,
mp,
0,
tables=(TT, outlines, meta),
lexsort=False)
