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 match_radec(ra1, dec1, ra2, dec2, radius_in_deg, notself=False,
nearest=False, indexlist=False):
'''
(m1,m2,d12) = match_radec(ra1,dec1, ra2,dec2, radius_in_deg)
Cross-matches numpy arrays of RA,Dec points.
Behaves like spherematch.pro of IDL
ra1,dec1 (and 2): RA,Dec in degrees of points to match.
Must be scalars or numpy arrays.
radius_in_deg: search radius in degrees.
notself: if True, avoids returning 'identity' matches;
ASSUMES that ra1,dec1 == ra2,dec2.
nearest: if True, returns only the nearest match in (ra2,dec2)
for each point in (ra1,dec1).
indexlist: returns a list of length len(ra1), containing None or a
list of ints of matched points in ra2,dec2. Returns this list.
Returns:
m1: indices into the "ra1,dec1" arrays of matching points.
Numpy array of ints.
m2: same, but for "ra2,dec2".
d12: distance, in degrees, between the matching points.
'''
# Convert to coordinates on the unit sphere
xyz1 = radectoxyz(ra1, dec1)
#if all(ra1 == ra2) and all(dec1 == dec2):
if ra1 is ra2 and dec1 is dec2:
xyz2 = xyz1
else:
xyz2 = radectoxyz(ra2, dec2)
r = deg2dist(radius_in_deg)
if nearest:
(inds,dists2) = _nearest_func(xyz2, xyz1, r, notself=notself)
I = np.flatnonzero(inds >= 0)
J = inds[I]
d = distsq2deg(dists2[I])
else:
X = match(xyz1, xyz2, r, notself=notself, indexlist=indexlist)
if indexlist:
return X
(inds,dists) = X
dist_in_deg = dist2deg(dists)
I,J = inds[:,0], inds[:,1]
d = dist_in_deg[:,0]
return (I, J, d)
def tree_search_radec(kd, ra, dec, radius, getdists=False, sortdists=False):
'''
ra,dec in degrees
radius in degrees
'''
dec = np.deg2rad(dec)
cosd = np.cos(dec)
ra = np.deg2rad(ra)
pos = np.array([cosd * np.cos(ra), cosd * np.sin(ra), np.sin(dec)])
rad = deg2dist(radius)
return tree_search(kd, pos, rad, getdists=getdists, sortdists=sortdists)
def match_radec(ra1, dec1, ra2, dec2, radius_in_deg, notself=False,
nearest=False):
'''
(m1,m2,d12) = match_radec(ra1,dec1, ra2,dec2, radius_in_deg)
Cross-matches numpy arrays of RA,Dec points.
Behaves like spherematch.pro of IDL
ra1,dec1 (and 2): RA,Dec in degrees of points to match.
Must be scalars or numpy arrays.
radius_in_deg: search radius in degrees.
notself: if True, avoids returning 'identity' matches;
ASSUMES that ra1,dec1 == ra2,dec2.
nearest: if True, returns only the nearest match in (ra2,dec2)
for each point in (ra1,dec1).
Returns:
m1: indices into the "ra1,dec1" arrays of matching points.
Numpy array of ints.
m2: same, but for "ra2,dec2".
d12: distance, in degrees, between the matching points.
'''
# Convert to coordinates on the unit sphere
xyz1 = radectoxyz(ra1, dec1)
#if all(ra1 == ra2) and all(dec1 == dec2):
if ra1 is ra2 and dec1 is dec2:
xyz2 = xyz1
else:
xyz2 = radectoxyz(ra2, dec2)
r = deg2dist(radius_in_deg)
if nearest:
(inds,dists2) = _nearest_func(xyz2, xyz1, r, notself=notself)
I = np.flatnonzero(inds >= 0)
J = inds[I]
d = distsq2deg(dists2[I])
else:
(inds,dists) = match(xyz1, xyz2, r, notself)
dist_in_deg = dist2deg(dists)
I,J = inds[:,0], inds[:,1]
d = dist_in_deg[:,0]
return (I, J, d)
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 match_radec(ra1, dec1, ra2, dec2, radius_in_deg, notself=False,
nearest=False, indexlist=False, count=False):
'''
(m1,m2,d12) = match_radec(ra1,dec1, ra2,dec2, radius_in_deg)
Cross-matches numpy arrays of RA,Dec points.
Behaves like spherematch.pro of IDL
ra1,dec1 (and 2): RA,Dec in degrees of points to match.
Must be scalars or numpy arrays.
radius_in_deg: search radius in degrees.
notself: if True, avoids returning 'identity' matches;
ASSUMES that ra1,dec1 == ra2,dec2.
nearest: if True, returns only the nearest match in (ra2,dec2)
for each point in (ra1,dec1).
indexlist: returns a list of length len(ra1), containing None or a
list of ints of matched points in ra2,dec2. Returns this list.
Returns:
m1: indices into the "ra1,dec1" arrays of matching points.
Numpy array of ints.
m2: same, but for "ra2,dec2".
d12: distance, in degrees, between the matching points.
'''
# Convert to coordinates on the unit sphere
xyz1 = radectoxyz(ra1, dec1)
#if all(ra1 == ra2) and all(dec1 == dec2):
if ra1 is ra2 and dec1 is dec2:
xyz2 = xyz1
else:
xyz2 = radectoxyz(ra2, dec2)
r = deg2dist(radius_in_deg)
extra = ()
if nearest:
X = _nearest_func(xyz2, xyz1, r, notself=notself, count=count)
if not count:
(inds,dists2) = X
I = np.flatnonzero(inds >= 0)
J = inds[I]
d = distsq2deg(dists2[I])
else:
#print 'X', X
#(inds,dists2,counts) = X
J,I,d,counts = X
extra = (counts,)
print 'I', I.shape, I.dtype
print 'J', J.shape, J.dtype
print 'counts', counts.shape, counts.dtype
else:
X = match(xyz1, xyz2, r, notself=notself, indexlist=indexlist)
if indexlist:
return X
(inds,dists) = X
dist_in_deg = dist2deg(dists)
I,J = inds[:,0], inds[:,1]
d = dist_in_deg[:,0]
return (I, J, d) + extra
if not plot.wcs.is_inside(T.ra[i], T.dec[i]): 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
gaia_kd = tree_open(gaia_kd_fn)
print('Read Gaia KD')
print('Matching...')
rad = 2. / 3600.
print('GALAH RA range:', galah.raj2000.min(), galah.raj2000.max())
print('GALAH Dec range:', galah.dej2000.min(), galah.dej2000.max())
xyz = radectoxyz(galah.raj2000, galah.dej2000)
print('xyz shape', xyz.shape)
N, three = xyz.shape
J = np.empty(N, np.int32)
J[:] = -1
D = np.zeros(N, np.float32)
dist = deg2dist(rad)
print('unit-sphere distance:', dist)
for i in range(N):
j, d = gaia_kd.search(xyz[i, :], dist, 1, 1)
#print('matched:', j)
if len(j) == 0:
continue
J[i] = j[0]
D[i] = d[0]
if i % 1000 == 0:
print(i)
I, = np.nonzero(J > -1)
J = J[I]
# print(len(I), 'matches')
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)
galah = fits_table('GALAH_DR2_catalog.fits')
print(len(galah), 'GALAH')
galah_kd = tree_build_radec(galah.raj2000, galah.dej2000)
gaia_kd_fn = '/global/cscratch1/sd/dstn/gaia-all.kd.fits'
gaia_kd = tree_open(gaia_kd_fn)
print('Read Gaia KD')
print('Matching...')
rad = 2. / 3600.
#I,J,d = trees_match(galah_kd, gaia_kd, deg2dist(rad), nearest=True)
### NOTE, this does not seem to be working correctly!!
I, J, D = trees_match(galah_kd, gaia_kd, deg2dist(rad))
print(len(I), 'matches')
# ugh, nearest
bestdist = np.empty(len(galah), np.float32)
bestdist[:] = 1000.
bestmatch = np.empty(len(galah), np.int32)
bestmatch[:] = -1
for i, j, d in zip(I, J, D):
if d < bestdist[i]:
bestdist[i] = d
bestmatch[i] = j
I, = np.nonzero(bestmatch > -1)
J = bestmatch[I]
def main():
os.environ['DESIMODEL'] = '/global/homes/d/dstn/desimodel-data'
global hw
global stuck_x
global stuck_y
global stuck_loc
global starkd
hw = load_hardware()
# From fiberassign/stucksky.py: find X,Y positions of stuck positioners.
# (grab the hw dictionaries once -- these are python wrappers over C++ so not simple accessors)
state = hw.state
devtype = hw.loc_device_type
stuck_loc = [
loc for loc in hw.locations
if (((state[loc] & (FIBER_STATE_STUCK | FIBER_STATE_BROKEN)
) == FIBER_STATE_STUCK) and (devtype[loc] == 'POS'))
]
print(len(stuck_loc), 'stuck positioners')
theta_pos = hw.loc_theta_pos
theta_off = hw.loc_theta_offset
phi_pos = hw.loc_phi_pos
phi_off = hw.loc_phi_offset
stuck_theta = [theta_pos[loc] + theta_off[loc] for loc in stuck_loc]
stuck_phi = [phi_pos[loc] + phi_off[loc] for loc in stuck_loc]
curved_mm = hw.loc_pos_curved_mm
theta_arm = hw.loc_theta_arm
phi_arm = hw.loc_phi_arm
theta_min = hw.loc_theta_min
theta_max = hw.loc_theta_max
phi_min = hw.loc_phi_min
phi_max = hw.loc_phi_max
# Convert positioner angle orientations to curved focal surface X / Y (not CS5)
# Note: we could add some methods to the python bindings to vectorize this or make it less clunky...
stuck_x = np.zeros(len(stuck_loc))
stuck_y = np.zeros(len(stuck_loc))
for iloc, (loc, theta,
phi) in enumerate(zip(stuck_loc, stuck_theta, stuck_phi)):
loc_x, loc_y = hw.thetaphi_to_xy(curved_mm[loc], theta, phi,
theta_arm[loc], phi_arm[loc],
theta_off[loc], phi_off[loc],
theta_min[loc], phi_min[loc],
theta_max[loc], phi_max[loc], True)
stuck_x[iloc] = loc_x
stuck_y[iloc] = loc_y
tiles = Table.read(
'/global/cfs/cdirs/desi/target/surveyops/ops/tiles-main.ecsv')
print(len(tiles), 'tiles')
# Deduplicate tiles with same RA,Dec center
tilera = tiles['RA']
tiledec = tiles['DEC']
tileid = tiles['TILEID']
rdtile = {}
tilemap = {}
for tid, r, d in zip(tileid, tilera, tiledec):
key = r, d
if key in rdtile:
# already seen a tile with this RA,Dec; point to it
tilemap[tid] = rdtile[key]
else:
rdtile[key] = tid
del rdtile
tnow = datetime.now()
tile_obstime = tnow.isoformat(timespec='seconds')
mjd = Time(tnow).mjd
stars = fits_table(
'/global/cfs/cdirs/cosmo/data/legacysurvey/dr9/masking/gaia-mask-dr9.fits.gz'
)
print(len(stars), 'stars for masking')
print('Moving to MJD', mjd)
ra, dec = radec_at_mjd(stars.ra, stars.dec, stars.ref_epoch.astype(float),
stars.pmra, stars.pmdec, stars.parallax, mjd)
assert (np.all(np.isfinite(ra)))
assert (np.all(np.isfinite(dec)))
stars.ra = ra
stars.dec = dec
print('Building kd-tree...')
starkd = tree_build_radec(stars.ra, stars.dec)
match_radius = deg2dist(30. / 3600.)
stuck_loc = np.array(stuck_loc)
allresults = {}
mp = multiproc(32)
print('Building arg lists...')
args = []
for tid, tile_ra, tile_dec, tile_obsha in zip(tileid, tilera, tiledec,
tiles['DESIGNHA']):
# skip duplicate tiles
if tid in tilemap:
continue
# "fieldrot"
tile_theta = field_rotation_angle(tile_ra, tile_dec, mjd)
args.append((tid, tile_ra, tile_dec, tile_obstime, tile_theta,
tile_obsha, match_radius))
print('Matching', len(args), 'unique tile RA,Decs in parallel...')
res = mp.map(_match_tile, args)
print('Organizing results...')
T = fits_table()
T.tileid = []
T.loc = []
T.petal = []
T.device = []
T.fiber = []
T.pos_ra = []
T.pos_dec = []
T.star_ra = []
T.star_dec = []
T.dist_arcsec = []
T.mask_mag = []
loc_to_petal = hw.loc_petal
loc_to_device = hw.loc_device
loc_to_fiber = hw.loc_fiber
for vals in res:
if vals is None:
continue
tileid, I, pos_ra, pos_dec, pos_loc, dists = vals
T.tileid.extend([tileid] * len(I))
T.loc.extend(pos_loc)
for loc in pos_loc:
T.petal.append(loc_to_petal[loc])
T.device.append(loc_to_device[loc])
T.fiber.append(loc_to_fiber[loc])
T.pos_ra.extend(pos_ra)
T.pos_dec.extend(pos_dec)
T.star_ra.extend(stars.ra[I])
T.star_dec.extend(stars.dec[I])
T.dist_arcsec.extend(dists)
T.mask_mag.extend(stars.mask_mag[I])
T.to_np_arrays()
T.writeto('stuck-on-stars.fits')
def match_radec(ra1, dec1, ra2, dec2, radius_in_deg, notself=False,
nearest=False, indexlist=False, count=False):
'''
Cross-matches numpy arrays of RA,Dec points.
Behaves like spherematch.pro of IDL.
Parameters
----------
ra1, dec1, ra2, dec2 : numpy arrays, or scalars.
RA,Dec in degrees of points to match.
radius_in_deg : float
Search radius in degrees.
notself : boolean
If True, avoids returning 'identity' matches;
ASSUMES that ra1,dec1 == ra2,dec2.
nearest : boolean
If True, returns only the nearest match in *(ra2,dec2)*
for each point in *(ra1,dec1)*.
indexlist : boolean
If True, returns a list of length *len(ra1)*, containing *None*
or a list of ints of matched points in *ra2,dec2*.
Returns
-------
m1 : numpy array of integers
Indices into the *ra1,dec1* arrays of matching points.
m2 : numpy array of integers
Same, but for *ra2,dec2*.
d12 : numpy array, float
Distance, in degrees, between the matching points.
'''
# Convert to coordinates on the unit sphere
xyz1 = radectoxyz(ra1, dec1)
#if all(ra1 == ra2) and all(dec1 == dec2):
if ra1 is ra2 and dec1 is dec2:
xyz2 = xyz1
else:
xyz2 = radectoxyz(ra2, dec2)
r = deg2dist(radius_in_deg)
extra = ()
if nearest:
X = _nearest_func(xyz2, xyz1, r, notself=notself, count=count)
if not count:
(inds,dists2) = X
I = np.flatnonzero(inds >= 0)
J = inds[I]
d = distsq2deg(dists2[I])
else:
#print 'X', X
#(inds,dists2,counts) = X
J,I,d,counts = X
extra = (counts,)
print('I', I.shape, I.dtype)
print('J', J.shape, J.dtype)
print('counts', counts.shape, counts.dtype)
else:
X = match(xyz1, xyz2, r, notself=notself, indexlist=indexlist)
if indexlist:
return X
(inds,dists) = X
dist_in_deg = dist2deg(dists)
I,J = inds[:,0], inds[:,1]
d = dist_in_deg[:,0]
return (I, J, d) + extra
