upd

data/eRASS1/print_ds9reg.py

@@ -0,0 +1,96 @@
+from astropy.io import fits
+import sys, math
+
+from astropy_healpix import HEALPix
+from astropy.coordinates import SkyCoord  # High-level coordinates
+from astropy.coordinates import ICRS, Galactic, FK4, FK5  # Low-level frames
+from astropy.coordinates import Angle, Latitude, Longitude  # Angles
+import astropy.units as u
+
+from coma.config import *
+
+def load_erass1_fits(filename, names=False):
+    
+    cen_crd = SkyCoord(ra_cen, de_cen, frame=FK5(), unit="deg")
+    rmax=7.0 # deg
+    
+    #filename="erass1-m.fits.gz"
+
+    if(names==True):
+        fout=filename.replace(".fits.gz", ".names.reg")
+    else:
+        fout=filename.replace(".fits.gz", ".reg")
+
+    with open("./{}".format(fout), 'w') as writer:
+        with fits.open(filename, memmap=True) as hdul:
+            hdul.info()
+    
+            data   = hdul[1].data
+            header = hdul[1].header
+            cols   = hdul[1].columns
+
+
+
+            print(cols)
+            #sys.exit()
+            for r in data:
+                #IdCluster = int(r['IdCluster'])
+                #UID = int(r['UId'])
+                #UIDhard = int(r['UIdHard'])
+                #RADEC_ERR = float(r['RADEErr'])
+                #EXT = float(r['EXT'])
+                #s_EXT = r['s_EXT']
+                #EXT_LIKE = r['EXTLike']
+                #DET_LIKE = r['DetLike0']
+                #ML_CTS = r['MLcts1']
+                #s_ML_CTS = r['s_MLcts1']
+                #ML_RATE = r['MLRate1']
+                #s_ML_RATE = r['s_MLRate1']
+                #ML_FLUX = r['MLFlux1']
+                #s_ML_FLUX = r['s_MLFlux1']
+                #ML_EXP = r['MLExp1']
+                name=r['IAUName']
+                poserr=float(r['posErr']) # 1-sigma positional uncertainty
+                ra=float(r['RAdeg'])
+                dec=float(r['DEdeg'])
+
+                P=0.98
+                koeff=math.sqrt(-2*math.log(1-P))
+            
+                crd = SkyCoord(ra, dec, frame=FK5(), unit="deg")
+                sep=crd.separation(cen_crd).deg
+                if(sep < rmax):
+                    print(ra,dec,sep)
+                    if(names==True):
+                        writer.write("fk5;circle({}, {}, {}) # text={{{}}}\n".format(ra,dec,poserr/60/60, name))
+                    else:
+                        writer.write("fk5;circle({}, {}, {})\n".format(ra,dec,poserr/60/60))
+
+load_erass1_fits("erass1-m.fits.gz")
+load_erass1_fits("erass1-s.fits.gz")
+load_erass1_fits("erass1-h.fits.gz")
+
+load_erass1_fits("erass1-m.fits.gz", names=True)
+load_erass1_fits("erass1-s.fits.gz", names=True)
+load_erass1_fits("erass1-h.fits.gz", names=True)
+
+
+
+"""        
+#filename='4XMM_DR12cat_slim_v1.0_UDS.fits.catalog'
+filename='4XMM_slim_DR14cat_v1.0_Coma.fits'
+fout=filename.replace(".fits", ".names.reg")
+
+hdul = fits.open(filename)
+#hdul.info()
+
+tbdata = hdul[1].data
+hdul.close()
+
+
+with open("./{}".format(fout), 'w') as writer:
+    for rec in tbdata:
+        print("fk5;circle({}, {}, 0.008)".format(rec['sc_ra'],rec['sc_dec']))
+        writer.write("fk5;circle({}, {}, {}) # text={{{}}}\n".format(rec['sc_ra'],rec['sc_dec'],rec['sc_poserr']/3600,rec['IAUNAME']))
+
+"""