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cross match

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This commit is contained in:
Roman Krivonos
2023-03-07 16:01:23 +03:00
parent bfb7f7dc21
commit ae61b520cf
56 changed files with 63153 additions and 9 deletions
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314
scripts/03_init_obs.py
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@@ -1,7 +1,7 @@
#!/usr/bin/env python
"""Создает объедененный список событий и помещает его в uds/products
Этот список событий нужен, в основном для извлечения спектров с помощью srctool
"""Подготавливает списки событий в разных энергетических диапазонах.
Производит списки источников в наждом наблюдении и делает астрокоррекцию с помощью wcs_match
"""
from astropy.wcs import WCS
@@ -26,8 +26,23 @@ infile_dir=root_path+'/data/processed'
outfile_dir=root_path+'/products'
create_folder(outfile_dir)
do_init=True
do_ermask=False
do_init = False
do_ermask = False
do_erbox1 = False # local mode
do_erbackmap1 = False #
do_erbox2 = False # map mode, with background map
do_erbackmap2 = False #
do_erbox3 = False # map mode, with background map
do_erbackmap3 = False #
do_ermldet = False
do_catprep = False
do_cross_match = True
do_wcs_match = False # Chandra task
do_wcs_update = False # Chandra task
eband_selected=[0]
@@ -35,6 +50,15 @@ def runme(datakey):
""" runs datakey over energy bands """
events=[]
expmaps=[]
outfile_boxlist1=[]
outfile_boxlist2=[]
outfile_boxlist3=[]
outfile_backmap1=[]
outfile_backmap2=[]
outfile_backmap3=[]
cheesemask=[]
bkgimage=[]
srcmaps=[]
for ii in range(len(eband_selected)):
index=eband_selected[ii]
@@ -43,16 +67,18 @@ def runme(datakey):
infile_dir=infile_dir,
outfile_dir=outfile_dir,
do_init=do_init,
do_obsmode=False,
do_obsmode=True,
do_center=True,
do_evtool=True,
do_expmap=False,
do_expmap=True,
ra_cen=ra_cen, de_cen=de_cen,
emin_kev=emin_kev[index],
emax_kev=emax_kev[index])
events.append(outfile_evtool)
expmaps.append(outfile_expmap)
""" Detmask """
detmask="{}_DetectionMask{}".format(os.path.join(outfile_dir,datakey), outfile_post)
if(do_ermask==True):
cmd=["ermask",
@@ -66,13 +92,283 @@ def runme(datakey):
print((" ").join(cmd))
os.system((" ").join(cmd))
for ii in range(len(eband_selected)):
index=eband_selected[ii]
print("\t>>> Energy band en{} -- {}-{} keV".format(eband[index],emin_kev[index],emax_kev[index]))
""" erbox in local mode """
outfile_boxlist1.append("{}_BoxList1_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post))
if(do_erbox1==True):
""" erbox in local mode """
cmd=["erbox",
"images=%s" %(events[ii]),
"boxlist=%s" %(outfile_boxlist1[ii]),
"expimages=%s" %(expmaps[ii]),
"detmasks=%s" %(detmask),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"ecf=1.0",
"nruns=2",
"likemin=6.0",
"boxsize=4",
"compress_flag=N",
"bkgima_flag=N",
"expima_flag=Y",
"detmask_flag=Y"
]
remove_file(outfile_boxlist1[ii])
print((" ").join(cmd))
os.system((" ").join(cmd))
save_ds9reg(outfile_boxlist1[ii])
outfile_backmap1.append("{}_BackMap1_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post))
cheese_mask="{}_CheeseMask1_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post)
if(do_erbackmap1==True):
""" back map 1 """
cmd=["erbackmap",
"image=%s" %(events[ii]),
"expimage=%s" %(expmaps[ii]),
"boxlist=%s" %(outfile_boxlist1[ii]),
"detmask=%s" %(detmask),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"bkgimage=%s" %(outfile_backmap1[ii]),
"cheesemask=%s" %(cheese_mask),
"idband=1",
"scut=0.001",
"mlmin=6",
"maxcut=0.5",
"fitmethod=smooth smoothval=15",
"snr=40.",
]
remove_file(cheese_mask)
remove_file(outfile_backmap1[ii])
os.system((" ").join(cmd))
print((" ").join(cmd))
outfile_boxlist2.append("{}_BoxList2_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post))
if(do_erbox2==True):
""" erbox in background mode """
cmd=["erbox",
"images=%s" %(events[ii]),
"boxlist=%s" %(outfile_boxlist2[ii]),
"expimages=%s" %(expmaps[ii]),
"detmasks=%s" %(detmask),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"ecf=1.0",
"nruns=2",
"likemin=4.0",
"boxsize=4",
"compress_flag=N",
"bkgima_flag=Y",
"bkgimages={}".format(outfile_backmap1[ii]),
"expima_flag=Y",
"detmask_flag=Y"
]
remove_file(outfile_boxlist2[ii])
print((" ").join(cmd))
os.system((" ").join(cmd))
save_ds9reg(outfile_boxlist2[ii])
outfile_backmap2.append("{}_BackMap2_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post))
cheese_mask="{}_CheeseMask2_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post)
if(do_erbackmap2==True):
""" back map 2 """
cmd=["erbackmap",
"image=%s" %(events[ii]),
"expimage=%s" %(expmaps[ii]),
"boxlist=%s" %(outfile_boxlist2[ii]),
"detmask=%s" %(detmask),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"bkgimage=%s" %(outfile_backmap2[ii]),
"cheesemask=%s" %(cheese_mask),
"idband=1",
"scut=0.001",
"mlmin=6",
"maxcut=0.5",
"fitmethod=smooth smoothval=15",
"snr=40.",
]
remove_file(cheese_mask)
remove_file(outfile_backmap2[ii])
os.system((" ").join(cmd))
print((" ").join(cmd))
outfile_boxlist3.append("{}_BoxList3_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post))
if(do_erbox3==True):
""" erbox in map mode FINAL """
cmd=["erbox",
"images=%s" %(events[ii]),
"boxlist=%s" %(outfile_boxlist3[ii]),
"expimages=%s" %(expmaps[ii]),
"detmasks=%s" %(detmask),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"ecf=1.0",
"nruns=2",
"likemin=4.0",
"boxsize=4",
"compress_flag=N",
"bkgima_flag=Y",
"bkgimages={}".format(outfile_backmap2[ii]),
"expima_flag=Y",
"detmask_flag=Y"
]
remove_file(outfile_boxlist3[ii])
print((" ").join(cmd))
os.system((" ").join(cmd))
save_ds9reg(outfile_boxlist3[ii])
outfile_backmap3.append("{}_BackMap3_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post))
cheese_mask="{}_CheeseMask3_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post)
if(do_erbackmap3==True):
""" back map 3 FINAL """
cmd=["erbackmap",
"image=%s" %(events[ii]),
"expimage=%s" %(expmaps[ii]),
"boxlist=%s" %(outfile_boxlist3[ii]),
"detmask=%s" %(detmask),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"bkgimage=%s" %(outfile_backmap3[ii]),
"cheesemask=%s" %(cheese_mask),
"idband=1",
"scut=0.001",
"mlmin=6",
"maxcut=0.5",
"fitmethod=smooth smoothval=15",
"snr=40.",
]
remove_file(cheese_mask)
remove_file(outfile_backmap3[ii])
os.system((" ").join(cmd))
print((" ").join(cmd))
mllist="{}_MaxLikSourceList_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post)
srcmap="{}_SourceMap_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post)
cmd=["ermldet",
"mllist=%s" %(mllist),
"boxlist=%s" %(outfile_boxlist3[ii]),
"images=%s" %(events[ii]),
"expimages=%s" %(expmaps[ii]),
"detmasks=%s" %(detmask),
"bkgimages=%s" %(outfile_backmap3[ii]),
"emin=%s" %(emin_ev[index]),
"emax=%s" %(emax_ev[index]),
"hrdef=",
"ecf={}".format(ecf[index]),
"likemin=5.",
"extlikemin=6.",
"compress_flag=N",
"cutrad=15.",
"multrad=20.",
"extmin=2.0",
"extmax=15.0",
#"bkgima_flag=Y", looks outdated
"expima_flag=Y",
"detmask_flag=Y",
"extentmodel=beta",
"thres_flag=N",
"thres_col=like",
"thres_val=30.",
"nmaxfit=4",
"nmulsou=2",
"fitext_flag=yes",
"srcima_flag=yes",
"srcimages=%s" %(srcmap)
]
if(do_ermldet==True):
remove_file(mllist)
remove_file(srcmap)
os.system((" ").join(cmd))
print((" ").join(cmd))
#save_ermldet_ds9reg(mllist,scale=60*60)
catprep="{}_SourceCatalog_en{}{}".format(os.path.join(outfile_dir,datakey), eband[index], outfile_post)
if(do_catprep==True):
cmd=["catprep",
"infile={}".format(mllist),
"outfile={}".format(catprep),]
remove_file(catprep)
os.system((" ").join(cmd))
print((" ").join(cmd))
save_catprep_ds9reg(catprep,scale=60*60)
if(do_cross_match==True):
hdulist = fits.open(detmask)
w = WCS(hdulist[0].header)
w.wcs.crval=wcslist[datakey]
crossmatch_shu2019(catprep,w=w,naxis1=hdulist[0].header['NAXIS1'],naxis2=hdulist[0].header['NAXIS2'],
catalog=root_path+"/data/Gaia_unWISE/Gaia_unWISE_UDS.fits.catalog")
"""
if(do_att_corr==True):
attcorr(mllist,events=outfile_evtool[ii])
xfm=mllist.replace(".fits", ".xfm")
if(do_wcs_match==True):
src_list=mllist.replace(".fits", ".src")
if not (os.path.isfile(src_list)==True):
print("Not found {}".format(src_list))
sys.exit()
ref_list=mllist.replace(".fits", ".ref")
if not (os.path.isfile(ref_list)==True):
print("Not found {}".format(ref_list))
sys.exit()
#xfm=mllist.replace(".fits", ".xfm")
log=mllist.replace(".fits", ".xfm.log")
cmd=["wcs_match",
"infile={}".format(src_list),
"refsrcfile={}".format(ref_list),
"outfile={}".format(xfm),
"wcsfile={}".format(src_list),
"logfile={}".format(log),
"radius=7",
"residlim=1",
"verbose=1",
"method=trans",
#"method=rst",
"clobber=yes",
]
os.system((" ").join(cmd))
print((" ").join(cmd))
if(do_wcs_update==True):
wcs_update(outfile_evtool[ii],crval=wcslist[key],transformfile=xfm)
"""
runme("tm7_obs_1")
"""
for tmkey in keylist_tm.keys():
print("TM{} in work... init events".format(tmkey))
for datakey in keylist_tm[tmkey]:
print("--> {}".format(datakey))
runme(datakey)
runme(datakey)
"""

13
scripts/README.md
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@@ -1,3 +1,10 @@
Подготовка рабочего окружения:
```
source venv/bin/activate.csh
esass
```
### 01_init_events.py
Создает начальные списки событий и помещает их в ```uds/data/processed```
@@ -9,4 +16,10 @@
Попутно этот скрипт унифицирует оригинальные списки событий для последующей обработки. А именно, корректируются слова OBS_MODE=POINING/SURVEY в зависимости от типа наблюдения и производится центрирование на одни и те же координаты с помощью команды ```radec2xy```.
### 03_init_obs.py
1) Подготавливает списки событий в разных энергетических диапазонах.
2) Запускает ```erbox``` в три этапа, чтобы получить рабочий список источников для ```ermldet```.
3) Запускает ```ermldet```
4) Делает кросс-корреляцию с каталогом Gaia-unWISE ```do_cross_match=True```, которая создает три файла: ```.cross``` -- все пересечения, и ```.ref``` / ```.src``` -- входные каталоги для последующей команды ```wcs_match```