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ccdrap_301.cl
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ccdrap_301.cl
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#
# Ver. Agosto de 2011
#
procedure ccdrap_301
bool intera = no {prompt="Use interactive selection for objects?"}
int modo = 2 {min=1,max=2, prompt="1-Register images; 2-Run PHOT"}
int iw = 1 {prompt="From waveplate position number iw"}
int fw = 8 {prompt="to waveplate position number fw"}
bool contiguous = yes {prompt="Positions of wave-plate are contiguous?"}
string version=".1" {prompt="Version of the output files"}
bool trim = no {prompt="Trim the image?"}
bool overscan = no {prompt="Apply overscan strip correction?"}
bool zerocor = no {prompt="Apply zero level correction?"}
bool darkcor = no {prompt="Apply dark count correction?"}
bool flatcor = no {prompt="Apply flat field correction?"}
string biassec = "" {prompt=" Overscan strip image section"}
string trimsec = "" {prompt=" Trim data section"}
string zero = "" {prompt="Zero level calibration image"}
string dark = "" {prompt="Dark Count calibration image"}
string flat = "" {prompt="Flat field images"}
real readnoise = 2.12 {prompt="CCD readnoise (adu)"}
real ganho = 4. {prompt="CCD gain (e/adu)"}
int frame=1 {prompt="Frame number to open on DS9"}
int nap = 10 {prompt="phot: number of apertures (maximum 10)"}
string apertures = "5:14:1" {prompt="phot: List of aperture radii in pixels"}
real annulus = 30. {prompt="phot: Inner radius of sky annulus in scale units"}
real dannulus = 10. {prompt="phot: Width of sky annulus in scale units"}
real boxsize=7 {prompt="Imalign: Size of the small centering box"}
real bigbox=11 {prompt="Imalign: Size of the big centering box"}
int reject=30000 {prompt="Reject images with pixel values larger than this value"}
int minreject=600 {prompt="Reject images with pixel values smaller than this value"}
real exptime=0. {prompt="SWAP: correct exposure time"}
#string subdir = "temp" {prompt="sub-directory to create for temporary files"}
string fileexe ="iraf$extern/beacon/pccd/ccdrap_e.e" {prompt="CCDRAP executable file"}
string irafpath = "iraf$" {prompt="IRAF path (try full path)"}
#string imgref = "" {prompt="Input reference image"}
#string images = "" {prompt="Input images to align"}
#string shifts = "shifts" {prompt="shifts file"}
struct *flist1
struct *flist2
struct *flist3
begin
string temp0,temp1, temp2, temp3, temp4, temp5, tempshift, aa, linedata, tempcoord
string xlong, ylong
struct line1, line2
string diret,raiz,lista
string lixo1
string imagem,fileord,fileout
string zeroi,flati,darki
string arq,arqim
string biasseci,trimseci
string fname
real xxx, yyy, xcomp, ycomp, deltax, deltay
real sky_mean, skysigma_mean, fwhm_mean
real maxdata
int nframes
bool bb=no
bool uselast=no
bool fileexists
bool trimi
bool ver, ver1
int n=0
int nlin
int i,j, nw
int nimages
int nstars
bool swap=yes
bool eraseccdproc=yes
bool global=yes
global = no
# A linha abaixo foi apagada junto de demais comentários, e é necessária
trimi = trim
unlearn datapars
unlearn findpars
unlearn centerpars
unlearn fitskypars
unlearn photpars
unlearn daopars
unlearn setimpars
zeroi = zero
flati = flat
darki = dark
trimseci = trimsec
if(trimsec == "301b") {
trimseci = "[15:385,10:270]"
}
if(trimsec == "301s") {
trimseci = "[15:200,1:170]"
}
if(trimsec == "301m") {
trimseci = "[15:160,1:130]"
}
if(trimsec == "301a") {
trimseci = "[15:250,1:170]"
}
if(trimsec == "301n") {
trimseci = "[15:140,1:120]"
}
biasseci = biassec
if(biassec == "301b") {
biasseci = "[*,286:289]"
}
if(biassec == "301s") {
biasseci = "[*,186:190]"
}
if(biassec == "301m") {
biasseci = "[*,146:150]"
}
if(biassec == "301a") {
biasseci = "[*,186:190]"
}
#unlearn findpars
#unlearn datapars
#datapars.fwhmpsf=fwhmpsf
#datapars.sigma=sigma
temp1 = "a"
if(modo == 2) {
# Step Zero
# Register the imagens of the first WP position. This is necessary to include
# faint objects in the object's list below
print "# Registering images of WP position # "//iw//"..."
if(iw <= 9) {
raiz = "0"//iw
} else {
raiz = ""//iw
}
chdir("p"//raiz//"0")
del(files="p*0000",go_ahead=yes, verify=no, >& "dev$null")
if(swap) {
# Some imagens that there were alread in directory will be deleted
imdel(images="p*.fits",go_ahead=yes,verify=no, >& "dev$null")
del(files="pp*,hp*",go_ahead=yes, verify=no, >& "dev$null")
# Run suape script for each p* and generate p*.fits
!suape "p*"
}
delete("TEMP_1.txt", ver-, >& "dev$null")
fname=mktemp("listaAAA")
files("p*.fits", > fname)
flist2 = fname
while(fscan(flist2, arqim) != EOF) {
imstatistics(images = arqim, fields = "max", lower = INDEF, upper = INDEF,
binwidth = 0, format = no, > "TEMP"//arqim//".txt")
flist1 = "TEMP"//arqim//".txt"
lixo1 = fscan(flist1, maxdata)
# print("Count to ", arqim, ": ", maxdata)
delete("TEMP"//arqim//".txt", ver-, >& "dev$null")
#$
if(maxdata > reject || maxdata < minreject){
imdel(images=arqim,go_ahead=yes, verify=no, >& "dev$null")
#$
# print "# WARNING! Image:"
# print(arqim, ".fits")
# print("has pixel values out of bounds: ", maxdata)
# print "Deleting the corresponding CCDPROC image. "
}
}
delete(fname, ver-, >& "dev$null")
if(overscan || zerocor || darkcor || flatcor || trim) {
print "# Running ccdproc..."
imdel(images="cp*.fits",go_ahead=yes, verify=no, >& "dev$null")
fname=mktemp("lista")
files("p*.fits", > fname)
ccdproc(images="@"//fname,output="c//@"//fname,ccdtype = "",
noproc=no,fixpix=no,overscan=overscan,trim=trimi,
zerocor=zerocor,darkcor=darkcor,flatcor=flatcor,illumcor=no,
fringecor=no,readcor=no,scancor=no,
readaxis = "column",biassec=biasseci,trimsec=trimseci,
zero=zeroi,flat=flati,dark=darki)
# delete(files="logfile",go_ahead=yes, verify=no, >& "dev$null")
# Delete fits images(maintain only the original files and cp* files)
if(swap)
imdel(images="p*.fits",go_ahead=yes, verify=no, >& "dev$null")
} else {
if(swap)
imrename(oldnames="@"//fname,newnames="c//@"//fname,verbose=no)
else
imcopy(input="@"//fname,output="c//@"//fname,verbose=no)
}
#Search for first image
delete(fname, ver-, >& "dev$null")
lista = mktemp("lista")
files("c*.fits", > lista)
flist3 = lista
lixo1 = fscan(flist3, imagem)
delete(lista, ver-, >& "dev$null")
#$
imstatistics(images = imagem,
fields = "max", lower = INDEF, upper = INDEF,
binwidth = 0, format = no, >> "TEMP_1.txt")
flist1 = "TEMP_1.txt"
lixo1 = fscan(flist1, maxdata)
delete("TEMP_1.txt", ver-, >& "dev$null")
#$
unlearn datapars
datapars.datamin=maxdata*1./10.
delete("coordtmp", ver-, >& "dev$null")
#$
# DAOFIND IS USED TO OBTAIN A 'DEFAULT COORDINATE' TO ALIGN THE IMAGES IN FIRST DIRECTORY
unlearn daofind
daofind(image=imagem,output="coordtmp",verify="no")
imdel(images="sh*.fits",go_ahead=yes, verify=no, >& "dev$null")
#$
# ALIGN IMAGES USING COORDINATES OBTAINED WITH DAOFIND
fname=mktemp("lista")
files("cp*.fits", > fname)
if(access("shifts")) {
print("# Using 'shifts' file present in the folder...")
imalign(input="@"//fname,reference=imagem,
coords="coordtmp",output="sh//@"//fname,shifts="shifts",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=yes)
} else {
imalign(input="@"//fname,reference=imagem,
coords="coordtmp",output="sh//@"//fname,shifts="",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=yes)
}
delete("coordtmp", ver-, >& "dev$null")
delete(fname, ver-, >& "dev$null")
#$
# ERASING C*.FITS, MAINTAINING ONLY ORIGINAL FILES AND SHC*.FITS
imdel(images="c*.fits",go_ahead=yes, verify=no, >& "dev$null")
temp0 = mktemp("sum")//".fits"
imsum(input="shc*.fits",output="../"//temp0, title="",hparams="",pixtype="double",
calctype="double",option="sum",verbose=no)
imdel(images="shc*.fits",go_ahead=yes, verify=no, >& "dev$null")
chdir("..")
#Before staring the loop on the WP positions, find the coordinates of
#input star(s). The first image of the first WP position will be used
print("# FIRST STEP: find the coordinate of the star(s).")
print"# Running DISPLAY ...")
print("")
display(image=temp0,frame=frame)
sleep 1
while(bb == no) {
delete(temp1, ver-, >& "dev$null")
#$
print("")
print("Running DAOEDIT ...")
print("")
print("1. put the cursor on the BOTTOM image of a object")
print("2. type <r> to see the profile(in a tek window) and check the position")
print("3. type <a> to save the position")
print("4. put the cursor on the top image of a object and repeat 2 and 3")
print("5. repeat 1 to 4 for another object, if you wish")
print("6. type <q> to quit of daoedit")
print("")
temp1 = mktemp("daoedit")
daoedit(image=temp0, icommands="", gcommands="",> temp1)
type(temp1)
print("")
print("Running TVMARK ...")
print("")
display(image=temp0,frame=frame)
tvmark(frame,temp1,label=no,number=yes,radii=15,color=202)
print("")
print("# Is it correct(yes|no)?")
aa=scan(bb)
}
# BEDNARSKI, 15jul22: Tive de comentar esse filecalc, pois não funciona no meu IRAF 2.16. Ele não faz diferença.
# temp2 = mktemp("filecalc")
# print("# XCENTER YCENTER SKY SKYSIGMA FWHM COUNTS MAG",>temp2)
# unlearn filecalc
# filecalc.format = "%10.2f%10.2f%10.1f%10.2f%10.2f%10.1f%10.2f"
# filecalc(temp1,"$1;$2;$3;$4;$5",calctyp="double",>>temp2)
#$
unlearn rename
# if(modo == "2") {
# rename(temp2,temp2//".ord")
rename(temp1,"coordtmp.ord")
# } else {
# rename(temp2,"coordtmp.ord")
# temp2 = "coordtmp"
# }
print("")
# BEDNARSKI 06-06-2010: INICIO DAS MODIFICAÇÕES - Criei uma variável que 'contém o endereço' do arquivo de coordenadas(será utilizado posteriormente)
if(intera == no)
tempcoord = "../coordtmp.ord"
type "coordtmp.ord"
print("")
unlearn tstat
tstat("coordtmp.ord",3)
sky_mean = tstat.mean
tstat("coordtmp.ord",4)
skysigma_mean = tstat.mean
tstat("coordtmp.ord",5)
fwhm_mean = tstat.mean
print("")
print("Mean values")
print("sky : ",sky_mean)
print("skysigma : ",skysigma_mean)
print("fwhm : ",fwhm_mean)
}
#
# FIM do if(modo == 2)
#
# HERE THE LOOP OF THE WP POSITIONS BEGINS. THE COORDINATE FILE GENERATED
# BEFORE(STORED IN TEMP2) WILL BE USED
for(i = iw; i <= fw; i += 1) {
nw = i
if(contiguous == no) {
if(i >= 5 && i <=8) {
nw = nw+4
}
}
if(nw <= 9) {
raiz = "0"//nw
} else {
raiz = ""//nw
}
#ATUALIZAR
diret = "p"//raiz//"0"
# diret = "0"//raiz//"0"
fileout = "../sum"//raiz//version//".dat"
print ""
print ""
print "# Processing images for waveplate position # "//nw
chdir(diret)
print "# Erasing first image..."
del(files="p*0000",go_ahead=yes, verify=no, >& "dev$null")
if(swap) {
imdel(images="p*.fits",go_ahead=yes, verify=no, >& "dev$null")
print "# Performing bit swap"
del(files="pp*,hp*",go_ahead=yes, verify=no, >& "dev$null")
swap(files="p*",exptime=exptime)
}
# if(overscan || zerocor || darkcor || flatcor) {
# print "# Updating image headers..."
# hedit(images="p*.fits",fields="imagetyp",value="object",
# add=yes,addonly=no,delete=no,verify=no,
# show=no,update=yes)
# }
imdel(images="c*.fits",go_ahead=yes, verify=no, >& "dev$null")
fname=mktemp("lista")
files("p*.fits", > fname)
if(overscan || zerocor || darkcor || flatcor || trim) {
print "# Running ccdproc..."
ccdproc(images="@"//fname,output="c//@"//fname,ccdtype = "",
noproc=no,fixpix=no,overscan=overscan,trim=trimi,
zerocor=zerocor,darkcor=darkcor,flatcor=flatcor,illumcor=no,
fringecor=no,readcor=no,scancor=no,
readaxis = "column",biassec=biasseci,trimsec=trimseci,
zero=zeroi,flat=flati,dark=darki)
# delete(files="logfile",go_ahead=yes, verify=no, >& "dev$null")
if(swap) {
# Delect fits images(maintain only the original files)
imdel(images="p*.fits",go_ahead=yes, verify=no, >& "dev$null")
}
} else {
if(swap)
imrename(oldnames="@"//fname,newnames="c//@"//fname,verbose=no)
else
imcopy(input="@"//fname,output="c//@"//fname,verbose=no)
}
delete(fname, ver-, >& "dev$null")
# Begining the code section to erase images with pixel values larger than reject
arq = mktemp("tmpvar")
# BEDNARSKI 26-12-09: Modificada a linha abaixo, retirando o .fits dos arquivos de flist2 para refazer o laço logo em seguida
files("cp*", > arq)
flist2 = arq
# ALEX 24-05-10: Solução para calcular nframes
nframes = 0
# BEDNARSKI 26-12-09: Refeito o laço de maneira alternativa
while(fscan(flist2, arqim) != EOF) {
nframes = nframes + 1
# delete("TEMP_1.txt", ver-, >& "dev$null")
#$
imstatistics(images = arqim, fields = "max", lower = INDEF, upper = INDEF,
binwidth = 0, format = no, > "TEMP"//arqim//".txt")
flist1 = "TEMP"//arqim//".txt"
lixo1 = fscan(flist1, maxdata)
# print("Count to ", arqim, ": ", maxdata)
delete("TEMP"//arqim//".txt", ver-, >& "dev$null")
#$
if(maxdata > reject || maxdata < minreject){
imdel(images=arqim,go_ahead=yes, verify=no, >& "dev$null")
#$
print "# WARNING! Image:"
print(arqim)
print("has pixel values out of bounds: ", maxdata)
print "Deleting the corresponding CCDPROC image. "
}
}
delete(arq, ver-, >& "dev$null")
#$
# BEDNARSKI 04-06-2010: Comentei o 'if modo' para que a opção do intera se aplique a qualquer modo
# if(modo == 1) {
if(intera) {
temp2 = "../coordtmp.ord"
#Search for first image
lista = mktemp("lista")
files("c*.fits", > lista)
flist3 = lista
lixo1 = fscan(flist3, imagem)
delete(lista, ver-, >& "dev$null")
#$
fileexists = access("ccdrapcoord.ord")
if(fileexists==yes) {
# There exists a coordinate list from a previous run.
print("# Using coordinate file from a previous run...")
delete(temp2, ver-, >& "dev$null")
#$
copy("ccdrapcoord.ord","../coordtmp.ord", ver-, >& "dev$null")
#$
uselast = yes
# temp1 = "../coordtmp.ord"
} else {
print("# Using coordinate file from the previous WP position...")
uselast = yes
# temp1 = "../coordtmp.ord"
# BEDNARSKI 23-06-2010: Se for a primeira posição de lâmina, não usa a coordenada anterior, desde que o modo seja 1, pois se 2, há sim coordenada anterior, obtida no if(modo==2) que inicia na linha 131
if(i == iw && modo == 1) {
# temp1 = "a"
uselast = no
}
}
bb = no
while(bb == no) {
if(uselast == no) {
# delete(temp1, ver-, >& "dev$null")
#$
display(image=imagem,frame=frame)
sleep 1
print("")
print("Running DAOEDIT ...")
print("")
print("1. put the cursor on the bottom image of a object")
print("2. type <r> to see the profile(in a tek window) and check the position")
print("3. type <a> to save the position")
print("4. put the cursor on the top image of a object and repeat 2 and 3")
print("5. repeat 1 to 4 for another object, if you wish")
print("6. type <q> to quit of daoedit")
print("")
beep
temp1 = mktemp("../daoedit")
daoedit(image=imagem, icommands="", gcommands="",> temp1)
type(temp1)
delete(temp2, ver-, >& "dev$null")
rename(files=temp1,newname=temp2,field="all")
} else {
uselast = no
display(image=imagem,frame=frame)
}
print("")
print("Running TVMARK ...")
print("")
tvmark(frame,temp2,label=no,number=yes,radii=15,color=202)
print("")
print("# Is it correct(yes|no)?")
aa=scan(bb)
}
# unlearn filecalc
#print("# XCENTER YCENTER SKY SKYSIGMA FWHM COUNTS MAG",>temp2)
# filecalc.format = "%10.2f%10.2f%10.1f%10.2f%10.2f%10.1f%10.2f"
# filecalc(temp1,"$1;$2;$3;$4;$5",calctyp="double",>>temp2)
#$
#Update the file ccdrapcoord.ord
delete("ccdrapcoord.ord", ver-, >& "dev$null")
copy(temp2,"ccdrapcoord.ord",ver-, >& "dev$null")
# BEDNARSKI 06-06-2010: grava as coordenadas de cada posição de lâmina em um arquivo principal
# Na primeira posição de lâmina, exclui eventual arquivo no diretório
if(i == iw)
delete("../coord"//version//".ord", ver-, >& "dev$null")
print("Directory: ", diret, >> "../coord"//version//".ord")
cat("ccdrapcoord.ord", >> "../coord"//version//".ord")
print("", >> "../coord"//version//".ord")
# BEDNARSKI 06-06-2010: a variável tempcoord 'contém o endereço' do arquivo de coordenadas que será utilizado a partir do if da linha 700
tempcoord = "ccdrapcoord.ord"
}
#
# FIM do if(intera)
#
# BEDNARSKI 04-06-2010: No lugar do else para o "if(intera)", acrescentei novos ifs para deixar adequado.
# In case modo == 1
if(modo == 1) {
# BEDNARSKI 04-06-2010: No caso de intera == no, executa os procedimentos abaixo(para o modo == 1)
if(intera == no) {
#Search for first image
lista = mktemp("lista")
files("c*.fits", > lista)
flist3 = lista
lixo1 = fscan(flist3, imagem)
delete(lista, ver-, >& "dev$null")
#$
fileexists = access("ccdrapcoord.ord")
if(fileexists==yes) {
print("# Using coordinate file from a previous run...")
delete("../coordtmp.ord", ver-, >& "dev$null")
#$
copy("ccdrapcoord.ord","../coordtmp.ord", ver-, >& "dev$null")
#$
display(image=imagem,frame=frame)
print("")
print("Running TVMARK ...")
print("")
tvmark(frame,"../coordtmp.ord",label=no,number=yes,radii=15,color=202)
} else {
print "# Automatically finding star coordinates with daofind..."
delete("TEMP_1.txt", ver-, >& "dev$null")
#$
imstatistics(images = imagem, fields = "max", lower = INDEF, upper = INDEF,
binwidth = 0, format = no, >> "TEMP_1.txt")
flist1 = "TEMP_1.txt"
lixo1 = fscan(flist1, maxdata)
delete("TEMP_1.txt", ver-, >& "dev$null")
datapars.datamin=maxdata*1./10.
delete("../coordtmp.ord", ver-, >& "dev$null")
daofind(image=imagem, output="../coordtmp.ord",verify="no")
}
}
#
# FIM do if(intera == no)
#
# Continues until the end of procedures to modo == 1
print "# Aligning images..."
temp2 = "coordtmp"
imdel(images="shc*.fits",go_ahead=yes, verify=no, >& "dev$null")
fname=mktemp("lista")
files("cp*.fits", > fname)
if(access("shifts")) {
print("# Using 'shifts' file present in the folder...")
imalign(input="@"//fname,reference=imagem,
coords="../"//temp2//".ord",output="sh//@"//fname,shifts="shifts",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=yes)
} else {
imalign(input="@"//fname,reference=imagem,
coords="../"//temp2//".ord",output="sh//@"//fname,shifts="",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=yes)
}
if(intera==no)
delete("../coordtmp.ord", ver-, >& "dev$null")
delete(fname, ver-, >& "dev$null")
print "# Summing images..."
imdel(images="../sum"//raiz//version//".fits",go_ahead=yes,
verify=no, >& "dev$null")
imsum(input="shc*.fits",output="../sum"//raiz//version//".fits",
title="",hparams="",pixtype="double",calctype="double",option="sum",
verbose=no)
imdel(images="shc*.fits",go_ahead=yes, verify=no, >& "dev$null")
#$
# display(image="../sum"//raiz//version//".fits",frame=1)
# sleep 1
# tvmark(1,temp5,label=no,number=yes,radii=15)
}
#
# FIM do if(modo == 1)
#
# BEDNARSKI 04-06-2010: A partir daqui não mexi mais nas estruturas dos if, apenas atualizei onde era temp2//".ord" para a variável tempcoord, que contém o 'endereço' do arquivo de coordenadas para cada caso de intera
if(modo == 2) {
# Mode 2, runs phot and calls ccdrap.e to combine the *mag.1 into a .dat file
print("# Running IMALIGN ...")
tempshift = mktemp("imalign")
unlearn imalign
if(access("shifts")) {
print("# Using 'shifts' file present in the folder...")
imalign(input="c*.fits",reference="../"//temp0,
coords=tempcoord,output="",shifts="shifts",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=no,
> tempshift//"")
} else {
imalign(input="c*.fits",reference="../"//temp0,
coords=tempcoord,output="",shifts="",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=no,
> tempshift//"")
}
# delete(temp3, ver-, >& "dev$null")
#$
print("# Running PHOT ...")
delete("*.mag.*", ver-, >& "dev$null")
unlearn datapars
datapars.readnoise = readnoise*ganho*sqrt(nframes)
datapars.epadu = ganho
datapars.fwhm = fwhm_mean
datapars.sigma = skysigma_mean
unlearn phot
unlearn centerpars
centerpars.calgori="centroid"
centerpars.cbox=fwhm_mean*2.5
unlearn fitskypars
fitskypars.salgorithm = "mode"
fitskypars.annulus = annulus
fitskypars.dannulus = dannulus
unlearn photpars
photpars.apertures = apertures
# Create list of input star images in a temporary file
# Determine the number of stars
unlearn tstat
# BEDNARSKI 06-06-2010: Atualizado abaixo(funciona para os dois modos)
tstat(tempcoord,1, >& "dev$null")
# tstat("../"//temp2//".ord",1, >& "dev$null")
#$
nstars = tstat.nrows/2
temp4 = mktemp("lista")
files("c*.fits", > temp4)
flist1 = temp4
flist2 = tempshift
#Search the file to find the line that starts with "#C"
ver=yes
while(ver) {
lixo1 = fscan(flist2,line1)
if((substr(line1,1,2) == "#C"))
ver = no
}
j = 0
temp3 = mktemp("phot")
temp5 = mktemp("daoedit")
while(fscan(flist1, imagem) != EOF) {
j = j+1
k=1
while(k<=nstars) {
lixo1 = fscan(flist2,line1)
linedata = fscan(line1,lixo1,xxx,lixo1,yyy,lixo1,lixo1)
print(xxx,yyy," 1 a", >>temp5)
lixo1 = fscan(flist2,line1)
linedata = fscan(line1,lixo1,xxx,lixo1,yyy,lixo1,lixo1)
print(xxx,yyy," 1 a", >>temp5)
k += 1
}
# BEDNARSKI 01-08-2011: Copiei isso abaixo do ccdrap do ikon/ixon
if(j == 1 && intera == no) {
print("# Displaying first image of the series ...")
display(image=imagem,frame=frame)
tvmark(frame,temp5,label=no,number=yes,radii=15,color=202)
sleep 1
}
# Usar AQUI para verificar se a implementacao foi adequada
# display(image=imagem,frame=1)
# sleep 1
# tvmark(1,temp5,label=no,number=yes,radii=15,color=202)
# sleep 2
# jump the space
lixo1 = fscan(flist2,line1)
# type(temp5)
# daoedit(image=imagem, icommands=temp5, gcommands="", >>temp3)
# unlearn tstat
# tstat(temp3,3,>& "dev$null")
#$
# sky_mean = tstat.mean
# tstat(temp3,4,>& "dev$null")
#$
# skysigma_mean = tstat.mean
# tstat(temp3,5,>& "dev$null")
#$
# fwhm_mean = tstat.mean
# print(skysigma_mean,fwhm_mean)
delete(temp3, ver-, >& "dev$null")
#$
# AQUI é feita fotometria de abertura
phot(image=imagem,skyfile="",coords=temp5,interactive=no,
verify=no,verbose=no,output=imagem//".mag.1")
# datapars="/Users/carciofi/data/iraf/uparm/aptdataps.par",
# fitskypars="/Users/carciofi/data/iraf/uparm/aptfitsks.par",
# centerpars="/Users/carciofi/data/iraf/uparm/aptcentes.par",
# photpars="/Users/carciofi/data/iraf/uparm/aptphotps.par")
delete(temp5, ver-, >& "dev$null")
#$
}
nimages = j
delete(temp4, ver-, >& "dev$null")
#$
delete(tempshift, ver-, >& "dev$null")
#$
# Run TXDUMP
print("# Running TXDUMP ...")
temp4 = mktemp("txdump")
unlearn txdump
txdump.textfiles = "*.mag.1"
txdump.fields = "image,msky,nsky,rapert[1-"//str(nap)//"],sum[1-"//str(nap)//"],area[1-"//str(nap)//"]"
txdump(text="*.mag.1",
fiel="image,msky,nsky,rapert[1-"//str(nap)//"],sum[1-"//str(nap)//"],area[1-"//str(nap)//"]",
expr=yes,>> temp4//"")
# Run pccdrap_e
delete("roda", ver-, >& "dev$null")
#$
delete(fileout, ver-, >& "dev$null")
#$
print("# Running ccdrap_e and calculating photometry ...")
print(fileexe," ",temp4," ", fileout," ", nstars," ", nimages," ", nap," ", >> "roda")
# print("Os parametros passados ao ccdrap_e sao:") # TIRAR
# print(temp4," ", fileout," ", nstars," ", nimages," ", nap," ") # TIRAR
!source roda
delete("roda", ver-, >& "dev$null")
#$
delete("*.mag.1", ver-, >& "dev$null")
#$
delete(temp4, ver-, >& "dev$null")
#$
}
#
# FIM do if(modo == 2)
#
# Delect ccdproc images
if(eraseccdproc)
imdel(images="c*.fits",go_ahead=yes, verify=no, >& "dev$null")
#$
chdir("..")
}
#
# Fim do laço das posições de lâmina
#
if(modo==1 && global) {
print ""
print "# Aligning the summed images..."
if(iw <= 9) {
raiz = "0"//iw
} else {
raiz = ""//iw
}
imstatistics(images = "sum"//raiz//version//".fits",
fields = "max", lower = INDEF, upper = INDEF,
binwidth = 0, format = no, >> "TEMP_1.txt")
flist1 = "TEMP_1.txt"
lixo1 = fscan(flist1, maxdata)
delete("TEMP_1.txt", ver-, >& "dev$null")
#$
datapars.datamin=maxdata*1./5.
delete("coordtmp", ver-, >& "dev$null")
#$
daofind(image="sum"//raiz//version//".fits",
output="coordtmp",verify="no")
imdel(images="shsum*"//version//".fits",go_ahead=yes, verify=no, >& "dev$null")
#$
fname=mktemp("lista")
files("sum*"//version//".fits", > fname)
imalign(input="@"//fname,
reference="sum"//raiz//version//".fits",
coords="coordtmp",
output="sh//@"//fname,shifts="",
boxsize=boxsize,bigbox=bigbox,trimimages=no,shiftimages=yes)
delete(fname, ver-, >& "dev$null")
delete("coordtmp", ver-, >& "dev$null")
#$
}
if(modo == 2) {
delete(temp0, ver-, >& "dev$null")
#$
# delete(temp2//".ord", ver-, >& "dev$null")
#$
# BEDNARSKI 06-06-2010: Deixa uma versao final das coordenadas no caso intera==no(o que ainda não havia sido feito)
if(intera==no)
rename("tempcoord.ord", "coord"//version//".ord")
}
delete(temp1, ver-, >& "dev$null")
#$
delete("coordtmp.ord", ver-, >& "dev$null")
#$
flist1=""
flist2=""
flist3=""
datapars.datamin=INDEF
phot.interac = no
print("# Setting 'ganho', 'nstars', 'nap' & 'readnoise' parameters in pccd & pccdgen...")
if(modo==2) {
pccd.nstars=nstars
pccdgen.nstars=nstars
} else {
print("PROGRAMAR!!!!")
}
# Some parameters are passed to next tasks that will be executed
pccd.nap=nap
pccdgen.nap=nap
pccd.readnoise=readnoise*sqrt(nframes)
pccdgen.readnoise=readnoise*sqrt(nframes)
pccdgen.ganho = ganho
polrap.rootout = "w"
polrap.rootin = "sum"
polrap.version1 = version
grafrap.root = polrap.rootout
grafrap.version1 = polrap.version1
print("# ",>> "ccdraplog")
print("# CCDRAP",>> "ccdraplog")
print("# ",>> "ccdraplog")
time(>> "ccdraplog")
print("# ",>> "ccdraplog")
print("# intera : ", intera, >> "ccdraplog")
print("# modo : ", modo, >> "ccdraplog")
print("# iw : ", iw, >> "ccdraplog")
print("# fw : ", fw, >> "ccdraplog")
print("# contiguous: ", contiguous, >> "ccdraplog")
print("# version : ", version, >> "ccdraplog")
print("# trim : ", trimi, >> "ccdraplog")
print("# overscan : ", overscan, >> "ccdraplog")
print("# zerocor : ", zerocor, >> "ccdraplog")
print("# darkcor : ", darkcor , >> "ccdraplog")
print("# flatcor : ", flatcor , >> "ccdraplog")
print("# biassec : ", biasseci , >> "ccdraplog")
print("# trimsec : ", trimseci , >> "ccdraplog")
print("# zero : ", zero,>> "ccdraplog")
print("# dark : ", dark,>> "ccdraplog")
print("# flat : ", flat,>> "ccdraplog")
print("# readnoise : ", readnoise , >> "ccdraplog")
print("# real RON : ", readnoise*sqrt(nframes) , >> "ccdraplog")
print("# ganho : ", ganho,>> "ccdraplog")
print("# nap : ", nap,>>"ccdraplog")
print("# apertures : ", apertures , >> "ccdraplog")
print("# annulus : ", annulus , >> "ccdraplog")
print("# dannulus : ", dannulus , >> "ccdraplog")
print("# boxsize : ", boxsize , >> "ccdraplog")
print("# bigbox : ", bigbox, >> "ccdraplog")
print("# reject : ", reject, >> "ccdraplog")
print("# exptime : ", exptime, >> "ccdraplog")
print("# fileexe : ", fileexe , >> "ccdraplog")
#Running jdrap
jdrap(iw=iw,fw=fw,contiguous=contiguous)
end