Testing collect_calibration_set, avg_fits, ccd_calib, and calib_images

_tba/reduction/crop-image

@@ -1,12 +1,12 @@
 #! /usr/bin/env python
 
-'''
+"""
 crop-image: Crops FITS images in place, according to user-specified boundaries, or 1/4 original (default)
 FITS filename can be wild-carded e.g. *.fts in current directory
 
 RLM 23 Oct 2014
 3 Nov 2014: Check if WCS solution exists before changing CRPIX1,CRPIX2
-'''
+"""
 
 import getopt
 import os
@@ -16,61 +16,82 @@ import astropy.io.fits as pyfits
 
 
 def usage():
-    print('Usage: crop-image [-X ] [-Y] [-W] [-H]  [-v verbose] [-h = help] FITS_file[s]')
+    print(
+        "Usage: crop-image [-X ] [-Y] [-W] [-H]  [-v verbose] [-h = help] FITS_file[s]"
+    )
     sys.exit(1)
 
+
 def help_usage():
-    print('crop-image crops FITS images in place, wildcard spec allowed')
-    print('(X,Y) lower left corner of crop, pixels')
-    print('W,H = width, height of cropped image, pixels')
-    print('Note: Defaults to inner 1/4 of image')
-    print('Warning: Crop is in place (overwrites original files)')
-    print('Example of usage: crop-image -X 100 -Y 100 -W 512 -H 512 *.fts')
+    print("crop-image crops FITS images in place, wildcard spec allowed")
+    print("(X,Y) lower left corner of crop, pixels")
+    print("W,H = width, height of cropped image, pixels")
+    print("Note: Defaults to inner 1/4 of image")
+    print("Warning: Crop is in place (overwrites original files)")
+    print("Example of usage: crop-image -X 100 -Y 100 -W 512 -H 512 *.fts")
     sys.exit(1)
 
+
 def getargs():
     # retrieves filenames and optional arguments from command line
     try:
         opts, arg = getopt.getopt(sys.argv[1:], "X:Y:W:H:vh")
     except getopt.GetoptError as err:
-        print(str(err)) # Prints  "option -a not recognized"
+        print(str(err))  # Prints  "option -a not recognized"
         usage()
-    if len(arg) == 0: usage()
-    verbose = False; fnames = arg
+    if len(arg) == 0:
+        usage()
+    verbose = False
+    fnames = arg
     X = Y = W = H = 0
     for opt in opts:
-        if opt[0] in ('-v','--verbose'):
-        	verbose = True
-        elif opt[0] in ('-X','--xstart'):
-        	X = int(opt[1])
-        elif opt[0] in ('-Y','--xstop'):
-        	Y = int(opt[1])
-        elif opt[0] in ('-W','--ystart'):
-        	W = int(opt[1])
-        elif opt[0] in ('-H','--ystop'):
-        	H = int(opt[1])
+        if opt[0] in ("-v", "--verbose"):
+            verbose = True
+        elif opt[0] in ("-X", "--xstart"):
+            X = int(opt[1])
+        elif opt[0] in ("-Y", "--xstop"):
+            Y = int(opt[1])
+        elif opt[0] in ("-W", "--ystart"):
+            W = int(opt[1])
+        elif opt[0] in ("-H", "--ystop"):
+            H = int(opt[1])
         elif opt[0] in ("-h", "--help"):
             help_usage()
     return verbose, X, Y, W, H, fnames
 
+
 # === MAIN ===
 # get params
 verbose, X, Y, W, H, fnames = getargs()
 
 # crop images, overwrite original image, fixing CRPIX1 keywords
 for fn in fnames:
-	if verbose: print('Cropping %s' % fn)
-	HDU = pyfits.open(fn)
-	Im = HDU[0].data; Header= HDU[0].header
-	if W == 0:
-		Nx = Header['NAXIS1']; Ny = Header['NAXIS2']
-		X = Nx/4; Y = Ny/4; W = Nx/2; H = Nx/2
-	X0 = X; Y0 = Y; X1 = X0 + W -1; Y1 = Y0 + H - 1
-	if verbose: print('X0 = %i, YX1 = %i, Y0 = %i Y1 = %i' % (X0,X1,Y0,Y1))
-	Im = Im[int(X0):int(X1), int(Y0):int(Y1)]
-	HDU[0].data=Im
-	HDU[0].scale('int16',bzero = 32768)
-	if 'CRPIX1' in Header: Header['CRPIX1'] -= X; Header['CRPIX2'] -= Y
-	Header['Comment'] = 'Cropped image using crop-image'
-	os.remove(fn); HDU.writeto(fn)
-if verbose: print('Done')
+    if verbose:
+        print("Cropping %s" % fn)
+    HDU = pyfits.open(fn)
+    Im = HDU[0].data
+    Header = HDU[0].header
+    if W == 0:
+        Nx = Header["NAXIS1"]
+        Ny = Header["NAXIS2"]
+        X = Nx / 4
+        Y = Ny / 4
+        W = Nx / 2
+        H = Nx / 2
+    X0 = X
+    Y0 = Y
+    X1 = X0 + W - 1
+    Y1 = Y0 + H - 1
+    if verbose:
+        print("X0 = %i, YX1 = %i, Y0 = %i Y1 = %i" % (X0, X1, Y0, Y1))
+    Im = Im[int(X0) : int(X1), int(Y0) : int(Y1)]
+    HDU[0].data = Im
+    HDU[0].scale("int16", bzero=32768)
+    if "CRPIX1" in Header:
+        Header["CRPIX1"] -= X
+        Header["CRPIX2"] -= Y
+    Header["Comment"] = "Cropped image using crop-image"
+    os.remove(fn)
+    HDU.writeto(fn)
+if verbose:
+    print("Done")

_tba/reduction/sort-files

@@ -17,36 +17,40 @@ import sys
 import astropy.io.fits as pyfits
 
 # make list of FITS file names in current directory
-fnames = glob.glob('*.fts')
+fnames = glob.glob("*.fts")
 
 # Spin through files, renaming and putting into subfolders
 for fname in fnames:
-
-	# Get info from FITS header
-	try:
-		hdr = pyfits.getheader(fname)
-	except:
-		print('Could not read %s, skipping' % fname)
-		continue
-	filter = hdr['FILTER']; source = hdr['OBJECT']
-	date,ut = hdr['DATE-OBS'].split('T'); ut = ut[:-3]
-
-	# Clean up source name if needed (no /'s, spaces)
-	source = source.replace(' ','') ; source = source.replace('/','_')
-	date = date.replace('-','_')
-	filter = filter[0]
-	# Remove colons from UT
-	ut = ut.replace(':','')
-	folder = '%s/%s' % (source,filter)
-
-	# Create subfolder named by object and filter
-	if not os.path.exists(source): os.mkdir(source)
-	if not os.path.exists(folder): os.mkdir(folder)
-
-	# Make new filename from date,ut,filter,focus strings
-	fnew_name = '%s_%s_%s_%s.fts' % (source,date,ut,filter)
-
-	# Move newly named file to appropriate subfolder
-	print('Moving %s => %s to subfolder %s' % (fname, fnew_name, folder))
-	fnew = folder + '/' + fnew_name
-	shutil.move(fname, fnew)
+    # Get info from FITS header
+    try:
+        hdr = pyfits.getheader(fname)
+    except:
+        print("Could not read %s, skipping" % fname)
+        continue
+    filter = hdr["FILTER"]
+    source = hdr["OBJECT"]
+    date, ut = hdr["DATE-OBS"].split("T")
+    ut = ut[:-3]
+
+    # Clean up source name if needed (no /'s, spaces)
+    source = source.replace(" ", "")
+    source = source.replace("/", "_")
+    date = date.replace("-", "_")
+    filter = filter[0]
+    # Remove colons from UT
+    ut = ut.replace(":", "")
+    folder = "%s/%s" % (source, filter)
+
+    # Create subfolder named by object and filter
+    if not os.path.exists(source):
+        os.mkdir(source)
+    if not os.path.exists(folder):
+        os.mkdir(folder)
+
+    # Make new filename from date,ut,filter,focus strings
+    fnew_name = "%s_%s_%s_%s.fts" % (source, date, ut, filter)
+
+    # Move newly named file to appropriate subfolder
+    print("Moving %s => %s to subfolder %s" % (fname, fnew_name, folder))
+    fnew = folder + "/" + fnew_name
+    shutil.move(fname, fnew)

_tba/telrun/get-asassn

@@ -6,62 +6,103 @@ import pandas as pd
 import requests as rs
 
 url = "https://docs.google.com/spreadsheets/d/1QdWCXJ0wRlNpTK0Ux4EfAybYJKKm9EXAa_wamQisajA/export?format=csv&id=1QdWCXJ0wRlNpTK0Ux4EfAybYJKKm9EXAa_wamQisajA&gid=0"
-email = 'tyler-roth@uiowa.edu'
-vers = '1.0'
+email = "tyler-roth@uiowa.edu"
+vers = "1.0"
+
+
 def get_args():
-        global parser
-        parser = OptionParser(description='%prog creates a schedule file for ASAS-SN observations', version = vers)
-        parser.add_option('-f', dest = 'output_filename', metavar='Output File Name'  , action = 'store', default = '', help = 'output file name')
-        return parser.parse_args()
+    global parser
+    parser = OptionParser(
+        description="%prog creates a schedule file for ASAS-SN observations",
+        version=vers,
+    )
+    parser.add_option(
+        "-f",
+        dest="output_filename",
+        metavar="Output File Name",
+        action="store",
+        default="",
+        help="output file name",
+    )
+    return parser.parse_args()
+
 
 write_file = False
 (opts, args) = get_args()
 output_filename = opts.output_filename
 if len(output_filename) > 0:
-   write_file = True
+    write_file = True
 
-res=rs.get(url=url)
-open('/tmp/asas-sn.csv', 'wb').write(res.content)
+res = rs.get(url=url)
+open("/tmp/asas-sn.csv", "wb").write(res.content)
 if write_file:
-    output = open(output_filename,'wb')
+    output = open(output_filename, "wb")
 if write_file:
-    output.write('Observer = "'+email+'"\n')
-print(('Observer = "'+email+'"'))
+    output.write('Observer = "' + email + '"\n')
+print(('Observer = "' + email + '"'))
 if write_file:
-    output.write('epoch 2000\n')
-print('epoch 2000')
+    output.write("epoch 2000\n")
+print("epoch 2000")
 if write_file:
-    output.write('\n')
-print('')
+    output.write("\n")
+print("")
+
+df = pd.read_csv("/tmp/asas-sn.csv", header=2)
 
-df = pd.read_csv('/tmp/asas-sn.csv',header=2)
 
 def calc_exp(mag):
-    #calculate and return an exposure time based on magnitude
-    dur = 300 #replace this line
+    # calculate and return an exposure time based on magnitude
+    dur = 300  # replace this line
     ###code here###
     return str(dur)
 
+
 for index, row in df.iterrows():
-    if not isinstance(row['Object'],str):
+    if not isinstance(row["Object"], str):
         continue
-    #if row['Active'] != 'TRUE':
-        #continue
-    #create string for duration
-    #needs to calculate exposure time based on magnitude from row['Last Mag']
-    duration = ''
-    for i in range(0,len(row['Filters'])):
-        duration += calc_exp(row['Last Mag']) + ','
-    #trim last comma
+    # if row['Active'] != 'TRUE':
+    # continue
+    # create string for duration
+    # needs to calculate exposure time based on magnitude from row['Last Mag']
+    duration = ""
+    for i in range(0, len(row["Filters"])):
+        duration += calc_exp(row["Last Mag"]) + ","
+    # trim last comma
     duration = duration[:-1]
-    #create string for filters
-    filter = ''
-    for i in row['Filters']:
-        filter += i+','
-    #trim last comma
+    # create string for filters
+    filter = ""
+    for i in row["Filters"]:
+        filter += i + ","
+    # trim last comma
     filter = filter[:-1]
-    print(('source '+row['Object']+ ' ra '+ row['RA']+ ' dec ' +row['Dec'] + ' filter ' + filter + ' dur ' + duration + ' /'))
+    print(
+        (
+            "source "
+            + row["Object"]
+            + " ra "
+            + row["RA"]
+            + " dec "
+            + row["Dec"]
+            + " filter "
+            + filter
+            + " dur "
+            + duration
+            + " /"
+        )
+    )
     if write_file:
-        output.write('source '+row['Object']+ ' ra '+ row['RA']+ ' dec ' +row['Dec'] + ' filter ' + filter + ' dur ' + duration + ' /\n')
+        output.write(
+            "source "
+            + row["Object"]
+            + " ra "
+            + row["RA"]
+            + " dec "
+            + row["Dec"]
+            + " filter "
+            + filter
+            + " dur "
+            + duration
+            + " /\n"
+        )
 if write_file:
     output.close()