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Commit e2976f19 authored by Fang Yuedong's avatar Fang Yuedong
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add tools directory

parent dd034a20
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tools/TargetLocationCheck.py 0 → 100644
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# NOTE: This is a stand-alone function, meaning that you do not need
# to install the entire CSST image simulation pipeline.
# For a given object's coordinate (Ra, Dec), the function will predict
# the object's image position and corresponding filter in the focal plane
# under a specified CSST pointing centered at (rap, decp).
import galsim
import numpy as np
import argparse
import matplotlib.pyplot as plt
import os, sys
def focalPlaneInf(ra_target, dec_target, ra_point, dec_point, image_rot=-113.4333, figout="zTargetOnCCD.pdf"):
"""
Input parameters:
ra_target : right ascension of the target/input object;
float, in unit of degrees;
dec_target: declination of the target/input object;
float, in unit of degrees;
ra_point : right ascension of telescope pointing center;
float, in unit of degrees;
dec_point : declination of telescope pointing center;
float, in unit of degrees;
image_rot : orientation of the camera with respect the sky;
float, in unit of degrees;
NOTE: image_rot=-113.4333 is the default value
in current CSST image simulation;
figout : location of the target object in the focal plane;
str
--------------------------------------------------------------
Usage:
0) specify the coordinate (ra_target, dec_target) of your target and
the pointing center (ra_point dec_point) of the telescope
1) open a terminal
2) type >> python TargetLocationCheck.py ra_target dec_target ra_point dec_point
or type >> python TargetLocationCheck.py ra_target dec_target ra_point dec_point -image_rot=floatNum
or type >> python TargetLocationCheck.py ra_target dec_target ra_point dec_point -image_rot=floatNum -figout=FigureName
"""
print("^_^ Input target coordinate: [Ra, Dec] = [%10.6f, %10.6f]"%(ra_target,dec_target))
print("^_^ Input telescope pointing center: [Ra, Dec] = [%10.6f, %10.6f]"%(ra_point,dec_point))
print("^_^ Input camera orientation: %12.6f degree(s)"%image_rot)
print(" ")
# load ccd parameters
xsize, ysize, xchip, ychip, xgap, ygap, xnchip, ynchip = ccdParam()
print("^_^ Pixel range of focal plane: x = [%5d, %5d], y = [%5d, %5d]"%(-xsize/2,xsize/2,-ysize/2,ysize/2))
# wcs
wcs = getTanWCS(ra_point, dec_point, image_rot, pix_scale=0.074)
skyObj = galsim.CelestialCoord(ra=ra_target*galsim.degrees,dec=dec_target*galsim.degrees)
pixObj = wcs.toImage(skyObj)
xpixObj = pixObj.x
ypixObj = pixObj.y
print("^_^ Image position of target: [xImage, yImage] = [%9.3f, %9.3f]"%(xpixObj,ypixObj))
# first determine if the target is in the focal plane
xin = (xpixObj+xsize/2)*(xpixObj-xsize/2)
yin = (ypixObj+ysize/2)*(ypixObj-ysize/2)
if xin>0 or yin>0: raise ValueError("!!! Input target is out of the focal plane")
# second determine the location of the target
trigger = False
for i in range(30):
ichip = i+1
ischip = str("0%d"%ichip)[-2:]
fId, fType = getChipFilter(ichip)
ix0, ix1, iy0, iy1 = getChipLim(ichip)
ixin = (xpixObj-ix0)*(xpixObj-ix1)
iyin = (ypixObj-iy0)*(ypixObj-iy1)
if ixin<=0 and iyin<=0:
trigger = True
idx = xpixObj - ix0
idy = ypixObj - iy0
print(" ---------------------------------------------")
print(" ** Target locates in CHIP#%s with filter %s **"%(ischip,fType))
print(" ** Target position in the chip: [x, y] = [%7.2f, %7.2f]"%(idx, idy))
print(" ---------------------------------------------")
break
if not trigger: print("^|^ Target locates in CCD gap")
# show the figure
print(" Target on CCD layout is saved into %s"%figout)
ccdLayout(xpixObj, ypixObj, figout=figout)
return
def ccdParam():
xt, yt = 59516, 49752
x0, y0 = 9216, 9232
xgap, ygap = (534,1309), 898
xnchip, ynchip = 6, 5
ccdSize = xt, yt, x0, y0, xgap, ygap, xnchip, ynchip
return ccdSize
def getTanWCS(ra, dec, img_rot, pix_scale=0.074):
"""
Get the WCS of the image mosaic using Gnomonic/TAN projection
Parameter:
ra, dec: float
(RA, Dec) of pointing of optical axis
img_rot: galsim Angle object
Rotation of image
pix_scale: float
Pixel size in unit of as/pix
Returns:
WCS of the focal plane
"""
xcen, ycen = 0, 0
img_rot = img_rot * galsim.degrees
dudx = -np.cos(img_rot.rad) * pix_scale
dudy = -np.sin(img_rot.rad) * pix_scale
dvdx = -np.sin(img_rot.rad) * pix_scale
dvdy = +np.cos(img_rot.rad) * pix_scale
moscen = galsim.PositionD(x=xcen, y=ycen)
sky_center = galsim.CelestialCoord(ra=ra*galsim.degrees, dec=dec*galsim.degrees)
affine = galsim.AffineTransform(dudx, dudy, dvdx, dvdy, origin=moscen)
WCS = galsim.TanWCS(affine, sky_center, units=galsim.arcsec)
return WCS
def getChipFilter(chipID):
"""
Return the filter index and type for a given chip #(chipID)
"""
filter_type_list = ["nuv","u", "g", "r", "i","z","y","GU", "GV", "GI"]
# TODO: maybe a more elegent way other than hard coded?
# e.g. use something like a nested dict:
if chipID in [6, 15, 16, 25]: filter_type = "y"
if chipID in [11, 20]: filter_type = "z"
if chipID in [7, 24]: filter_type = "i"
if chipID in [14, 17]: filter_type = "u"
if chipID in [9, 22]: filter_type = "r"
if chipID in [12, 13, 18, 19]: filter_type = "nuv"
if chipID in [8, 23]: filter_type = "g"
if chipID in [1, 10, 21, 30]: filter_type = "GI"
if chipID in [2, 5, 26, 29]: filter_type = "GV"
if chipID in [3, 4, 27, 28]: filter_type = "GU"
filter_id = filter_type_list.index(filter_type)
return filter_id, filter_type
def getChipLim(chipID):
"""
Calculate the edges in pixel for a given CCD chip on the focal plane
NOTE: There are 5*4 CCD chips in the focus plane for photometric observation.
Parameters:
chipID: int
the index of the chip
Returns:
A galsim BoundsD object
"""
xt, yt, x0, y0, gx, gy, xnchip, ynchip = ccdParam()
gx1, gx2 = gx
rowID = ((chipID - 1) % 5) + 1
colID = 6 - ((chipID - 1) // 5)
# xlim of a given CCD chip
xrem = 2*(colID - 1) - (xnchip - 1)
xcen = (x0//2 + gx1//2) * xrem
if chipID >= 26 or chipID == 21:
xcen = (x0//2 + gx1//2) * xrem - (gx2-gx1)
if chipID <= 5 or chipID == 10:
xcen = (x0//2 + gx1//2) * xrem + (gx2-gx1)
nx0 = xcen - x0//2 + 1
nx1 = xcen + x0//2
# ylim of a given CCD chip
yrem = (rowID - 1) - ynchip // 2
ycen = (y0 + gy) * yrem
ny0 = ycen - y0//2 + 1
ny1 = ycen + y0//2
return nx0-1, nx1-1, ny0-1, ny1-1
def ccdLayout(xpixTar, ypixTar, figout="ccdLayout.pdf"):
fig = plt.figure(figsize=(10.0,8.0))
ax = fig.add_axes([0.1,0.1,0.80,0.80])
# plot the layout of the ccd distribution
for i in range(30):
ichip = i+1
fId, fType = getChipFilter(ichip)
ischip = str("0%d"%ichip)[-2:]
ix0, ix1, iy0, iy1 = getChipLim(ichip)
ax.plot([ix0,ix1],[iy0,iy0],"k-", linewidth=2.5)
ax.plot([ix0,ix1],[iy1,iy1],"k-", linewidth=2.5)
ax.plot([ix0,ix0],[iy0,iy1],"k-", linewidth=2.5)
ax.plot([ix1,ix1],[iy0,iy1],"k-", linewidth=2.5)
ax.text(ix0+500,iy0+1500,"%s#%s"%(fType, ischip), fontsize=12, color="grey")
ax.plot(xpixTar, ypixTar, "r*", ms=12)
ax.set_xlabel("$X\,[\mathrm{pixels}]$", fontsize=20)
ax.set_ylabel("$Y\,[\mathrm{pixels}]$", fontsize=20)
ax.invert_yaxis()
ax.axis('off')
plt.savefig(figout)
def parseArguments():
# Create argument parser
parser = argparse.ArgumentParser()
# Positional arguments
parser.add_argument("ra_target", type=float)
parser.add_argument("dec_target", type=float)
parser.add_argument("ra_point", type=float)
parser.add_argument("dec_point", type=float)
# Optional arguments
parser.add_argument("-image_rot", type=float, default=-113.4333)
parser.add_argument("-figout", type=str, default="zTargetOnCCD.pdf")
# Parse arguments
args = parser.parse_args()
return args
if __name__ == "__main__":
# Parse the arguments
args = parseArguments()
# Run function
focalPlaneInf(args.ra_target, args.dec_target, args.ra_point, args.dec_point, args.image_rot, args.figout)
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