config.py 16.1 KB
Newer Older
Monica Rainer's avatar
Monica Rainer committed
1 2 3 4 5 6 7
"""
Written by Avet Harutyunyan for the old GIANO pipeline
Implemented in the GIANOB DRS by Monica Rainer
"""

import os, tempfile, datetime
from collections import OrderedDict
Monica Rainer's avatar
Monica Rainer committed
8
from __version__ import __version__
Monica Rainer's avatar
Monica Rainer committed
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60


def getdate(date_time=None):
    tlimit = datetime.time(9, 0, 0)
    oneday = datetime.timedelta(days=1)
    if date_time:
        if isinstance(date_time, datetime.datetime):
            pass
        elif isinstance(date_time, basestring): 
            date_time = datetime.datetime.strptime(date_time, '%Y-%m-%dT%H:%M:%S.%f')
    else:
        date_time = datetime.datetime.utcnow()
    date_, time_ = date_time.date(), date_time.time()
    if time_ < tlimit:
        date_ = date_ - oneday
    return date_.strftime('%Y-%m-%d')


def read_usr_config(path):
    f = open(path, 'r')
    cntnt = f.readlines()
    f.close()
    usrconfig = {}
    for aline in cntnt:
        aline = aline.strip()
        #print aline
        if aline:
            if aline[0] != '#':
                key, value = aline.split(':::')
                #print key
                #print value
                usrconfig[key.strip()] = eval(value.strip())
    return usrconfig

usr_cfg_path = os.path.join(os.getcwd(), 'gofio.cfg')
if os.path.isfile(usr_cfg_path):
    try:
        USRCONFIG = read_usr_config(usr_cfg_path)
    except:
        USRCONFIG = {}
        USRCONFIG['OFFLINE'] = False
else:
    USRCONFIG ={}
    USRCONFIG['OFFLINE'] = False


#
# pipeline configuration
#

CONFIG = {}
CONFIG['APPNAME'] = 'GOFIO'
Monica Rainer's avatar
Monica Rainer committed
61 62
#CONFIG['VERSION'] = 1.0
CONFIG['VERSION'] = __version__
Monica Rainer's avatar
Monica Rainer committed
63 64 65 66 67 68 69 70 71
CONFIG['DATE'] = getdate()
CONFIG['OFFLINE'] = False

#
# Directories 
#

CONFIG['TMP_DIR'] = tempfile.gettempdir()
CONFIG['APP_DIR'] = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
72

Monica Rainer's avatar
Monica Rainer committed
73 74 75 76
#CONFIG['BASE_RAW'] = '/mnt/nfs/RAW'
CONFIG['BASE_RAW'] = '/home/monica/Documenti/gianob/gianobdrs/varie/commissioning_marzo/raw'
CONFIG['BASE_RED_DIR'] = os.path.join(CONFIG['APP_DIR'],'reduced')
#CONFIG['BASE_RED_DIR'] = '/mnt/nfs/REDUCED'
Monica Rainer's avatar
Monica Rainer committed
77

78 79 80
CONFIG['BASE_RAMP'] = '/home/avet/gianorp/databases'


Monica Rainer's avatar
Monica Rainer committed
81 82
CONFIG['RAW_DIR'] = os.path.join(CONFIG['BASE_RAW'],CONFIG['DATE'])
CONFIG['RED_DIR'] = os.path.join(CONFIG['BASE_RED_DIR'],CONFIG['DATE'])
Monica Rainer's avatar
Monica Rainer committed
83
CONFIG['OFFLINE_DIR'] = False
Monica Rainer's avatar
Monica Rainer committed
84 85 86 87 88 89 90
CONFIG['RED_CALIB'] = os.path.join(CONFIG['RED_DIR'],'CALIB')
CONFIG['RED_STR'] = os.path.join(CONFIG['RED_DIR'],'STR')

# Resources

CONFIG['RES_DIR']      = os.path.join(CONFIG['APP_DIR'], 'resources')
CONFIG['BADPIX_MASK']  = os.path.join(CONFIG['RES_DIR'], 'badpix_mask.fits')
91
CONFIG['LOGGER'] = {'TERM':True,'FILE':True} # logger writes to terminal and/or to file
Monica Rainer's avatar
Monica Rainer committed
92 93
CONFIG['LOG_FILE'] = os.path.join(CONFIG['RED_DIR'], 'drs.log')
CONFIG['STRAIGHT'] = os.path.join(CONFIG['RES_DIR'],'straight_giano_2D')
94 95
CONFIG['STRAIGHT_OPT'] = ['I=1'] # the option DY is computed automatically
#CONFIG['STRAIGHT_OPT'] = ['I=1','DY=-5'] # define DY only if you want to override the automatic procedure
Monica Rainer's avatar
Monica Rainer committed
96 97 98
CONFIG['BASE_CALIB_DIR']    = os.path.join(CONFIG['APP_DIR'], 'calibrations')
CONFIG['CALIB_DIR']    = os.path.join(CONFIG['BASE_CALIB_DIR'], 'calfiles')
CONFIG['CALIB_DB_DIR']    = os.path.join(CONFIG['BASE_CALIB_DIR'], 'database')
Monica Rainer's avatar
Monica Rainer committed
99
CONFIG['WEBUI_DB_DIR'] = os.path.join(CONFIG['APP_DIR'], 'webuidatabases')
Monica Rainer's avatar
Monica Rainer committed
100

101 102 103 104 105
# Output name

CONFIG['MERGED'] = 's1d' # suffix for merged spectra
CONFIG['UNMERGED'] = 'ms1d' # suffix for unmerged spectra

Monica Rainer's avatar
Monica Rainer committed
106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
#
# Header configuration 
#

# Keywords used by the pipeline: change here if the keywords change
# If some keywords are added or removed, change varie/check_keywords accordingly.
CONFIG['KEYS'] = {'OBJECT' : 'OBJECT', 'OBSTYPE' : 'OBS-TYPE', 'OBSMODE' : 'OBSMODE' , 'IMANAME' : 'IMANAME', 'FILENAME' : 'FILENAME', 'NCOMBINE' : 'NCOMBINE', 'MJD' : 'MJD-OBS', 'EXPTIME' : 'EXPTIME', 'NODSTARE' : 'HIERARCH TNG CAT ACQTEMPL' , 'GROUPN' : 'GROUP_N', 'GROUPI' : 'GROUP_I', 'SLIT' : 'SLIT_POS' , 'STARE' : 'STAREPOS' , 'GROUPID' : 'GROUPID' , 'ID' : 'OBSID' , 'PID' : 'PAIRID' , 'NPAIRS' : 'HIERARCH TNG CAT EXP NPAIRS' ,'NREP' : 'HIERARCH TNG CAT EXP NREP' , 'EXTMODE' : 'HIERARCH TNG CAT DR SPEXTMODE' , 'RA' : 'HIERARCH TNG TEL TARG ALPHA' , 'DEC' : 'HIERARCH TNG TEL TARG DELTA' , 'PMA' : 'HIERARCH TNG TEL TARG PMA' , 'PMD' : 'HIERARCH TNG TEL TARG PMD' , 'EQUINOX' : 'HIERARCH TNG TEL TARG EQUINOX' , 'TARG_TYPE' : 'HIERARCH TNG CAT TARG TYPE' , 'AM' : 'AIRMASS' , 'RADVEL' : 'HIERARCH TNG TEL TARG RADVEL' }


# Values of the keyword:
# CONFIG['OBSTYPE'] keyword values to determine the nature of the files
CONFIG['DARK'] = 'DARK'
CONFIG['FLAT'] = 'FLAT'
CONFIG['WCAL_UNE'] = 'WCAL_UNE'
CONFIG['WCAL_FP'] = 'WCAL_FP'
Monica Rainer's avatar
Monica Rainer committed
121
#CONFIG['WCAL_FP'] = 'WCAL_LFC'
Monica Rainer's avatar
Monica Rainer committed
122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156
CONFIG['SCIENCE'] = 'SCIENCE'
# CONFIG['NODSTARE'] keyword values to determine if stare or nodding
CONFIG['NODVALUE'] = 'GIANO_sci_nodding'
CONFIG['STAREVALUE'] = 'GIANO_sci_stare'
# CONFIG['SLIT'] keyword values to determine the slit position
CONFIG['A'] = 'A' # value of CONFIG['SLIT'] for A position
CONFIG['B'] = 'B' # value of CONFIG['SLIT'] for B position
CONFIG['C'] = 'C' # value of CONFIG['SLIT'] for C position
# CONFIG['STARE'] keyword values to determine the Obj-Sky position
CONFIG['OBJ'] = 'OBJ'
CONFIG['SKY'] = 'SKY'
# CONFIG['EXTMODE'] keyword values to determine to extraction mode
CONFIG['EXTPAIR'] = 'PAIR_EXT'
CONFIG['EXTAVG'] = 'GRPAVG_EXT'
CONFIG['EXTDEFAULT'] = CONFIG['EXTAVG']
# CONFIG['TARG_TYPE'] keyword values to determine type of object (science, telluric, ...) 
CONFIG['TELLURIC'] = 'TELLURIC'
CONFIG['FASTROT'] = 'FASTROT'
CONFIG['TYPE_SCIENCE'] = 'SCIENCE'

#
# Keywords added by the DRS, with relative comments
#
CONFIG['KEY_DRS'] = 'HIERARCH TNG DRS'
CONFIG['RON_EFF'] = (' '.join((CONFIG['KEY_DRS'],'RON')),'Effective RON after image reduction')
CONFIG['GAIN_EFF'] = (' '.join((CONFIG['KEY_DRS'],'GAIN')),'Effective gain after image reduction')
CONFIG['TEXP_EFF'] = (' '.join((CONFIG['KEY_DRS'],'EXPTIME')),'Effective exposure time after image reduction')
CONFIG['SPEC_USED'] = (' '.join((CONFIG['KEY_DRS'],'SPEC')),'Images combined')
CONFIG['SPEC_MJD'] = (' '.join((CONFIG['KEY_DRS'],'MJD')),'MJD of the relative image')
CONFIG['SNR'] = (' '.join((CONFIG['KEY_DRS'],'SNR')),'SNR in the middle of the order',)
CONFIG['STRAIGHT_PAR'] = OrderedDict([ ('P1',' '.join((CONFIG['KEY_DRS'],'STR2DP1'))), ('P2',' '.join((CONFIG['KEY_DRS'],'STR2DP2'))), ('P3',' '.join((CONFIG['KEY_DRS'],'STR2DP3'))), ('P4',' '.join((CONFIG['KEY_DRS'],'STR2DP4'))), ('P5',' '.join((CONFIG['KEY_DRS'],'STR2DP5'))), ('P6',' '.join((CONFIG['KEY_DRS'],'STR2DP6'))) ])
CONFIG['DRS_MJD'] = (' '.join((CONFIG['KEY_DRS'],'MJD')),'MJD of the combined image')
CONFIG['BERV'] = (' '.join((CONFIG['KEY_DRS'],'BERV')),'Barycentric correction [km/s]')
CONFIG['HJD'] = (' '.join((CONFIG['KEY_DRS'],'HJD')),'HJD of the combined image')
CONFIG['AIRMASS'] = (' '.join((CONFIG['KEY_DRS'],'AIRMASS')),'Airmass of the combined image')
157 158
CONFIG['MASTERFLAT'] = (' '.join((CONFIG['KEY_DRS'],'FLAT')),'Flat-field used for the reduction')
CONFIG['MASTERLAMP'] = (' '.join((CONFIG['KEY_DRS'],'LAMP')),'Calibration lamp used for the reduction')
159
CONFIG['KEY_WEXT'] = (' '.join((CONFIG['KEY_DRS'],'WEXT')),'Standard extraction window [pixel]')
Monica Rainer's avatar
Monica Rainer committed
160

161
# Wavelength calibration
Monica Rainer's avatar
Monica Rainer committed
162 163
CONFIG['CAL_FUNC'] = {'Oliva':True, 'Poly3':False} # function used for wavelength calibration (Tino Oliva Polynomial or 3-degree polynomial)
#CONFIG['CAL_FUNC'] = {'Oliva':False, 'Poly3':True}
164 165 166 167
CONFIG['WLFIT'] = (' '.join((CONFIG['KEY_DRS'],'CAL WLFUNC')),'Function used for wavelength calibration')

if CONFIG['CAL_FUNC']['Oliva']:
    CONFIG['WLFIT_FUNC'] = 'l0 + k1*(x-xc) + k2*(x-xc)**2 + k3*(x-xc)**3'
Monica Rainer's avatar
Monica Rainer committed
168

169 170 171 172 173
else:
    CONFIG['WLFIT_FUNC'] = 'c0 + c1*x + c2*x**2 + c3*x**3'

CONFIG['WLCOEFFS'] = {'k1':(' '.join((CONFIG['KEY_DRS'],'CAL K1')),'k1 coefficient of the calibration function'),'k2':(' '.join((CONFIG['KEY_DRS'],'CAL K2')),'k2 coefficient of the calibration function'),'k3':(' '.join((CONFIG['KEY_DRS'],'CAL K3')),'k3 coefficient of the calibration function'),'l0':(' '.join((CONFIG['KEY_DRS'],'CAL L0')),'l0 coefficient of the calibration function'),'xc':(' '.join((CONFIG['KEY_DRS'],'CAL XC')),'xc coefficient of the calibration function'),'rms':(' '.join((CONFIG['KEY_DRS'],'CAL RMSE')),'[m/s] RMS error of the calibration'), 'c0':(' '.join((CONFIG['KEY_DRS'],'CAL C0')),'c0 coefficient of the calibration function'),'c1':(' '.join((CONFIG['KEY_DRS'],'CAL C1')),'c1 coefficient of the calibration function'),'c2':(' '.join((CONFIG['KEY_DRS'],'CAL C2')),'c2 coefficient of the calibration function'),'c3':(' '.join((CONFIG['KEY_DRS'],'CAL C3')),'c3 coefficient of the calibration function'),'rms_poly':(' '.join((CONFIG['KEY_DRS'],'CAL RMSE')),'[m/s] RMS error of the calibration')}

Monica Rainer's avatar
Monica Rainer committed
174 175 176 177 178 179 180 181 182 183 184 185 186
#
# DB configuration 
#
# Ramp processor database
CONFIG['RAMP_NAME'] = 'ramps' + CONFIG['DATE'] + '.db'
CONFIG['DB_RAMP'] = os.path.join(CONFIG['BASE_RAMP'],CONFIG['RAMP_NAME'])
CONFIG['DB_RAMP_TBL'] = 'reducedramps'
CONFIG['DB_RAMP_COLS'] = {'fpath':'FPATH' , 'obstype':'OBSTYPE' , 'dateobs':'DATEOBS' , 'object' : 'OBJECT' , 'exptime':'EXPTIME' , 'nodstare':'NODSTARE' , 'slitpos':'SLITPOS' , 'groupi':'GROUPI' , 'groupn':'GROUPN'}

# Calibration database
CONFIG['DB_CALIB'] = 'drs_calib.db'
CONFIG['DB_CALIB_PATH'] = os.path.join(CONFIG['CALIB_DB_DIR'], CONFIG['DB_CALIB'])
CONFIG['DB_CALIB_TBL'] = 'calibrations'
Monica Rainer's avatar
Monica Rainer committed
187

188
CONFIG['DB_CALIB_COLS'] = OrderedDict([('01_data', 'date_calib'), ('dark10', 'masterdark10'), ('dark30', 'masterdark30'), ('dark60', 'masterdark60'), ('dark100', 'masterdark100'),  ('dark200', 'masterdark200'), ('dark300', 'masterdark300'), ('dark600', 'masterdark600'),('flat', 'masterflat'), ('flatstr', 'masterflat_str'), ('flatnor', 'masterflat_nor'), ('shiftY', 'shift_Y') ,('une', 'wl_une'), ('une_str', 'wl_une_str'), ('une_calib', 'wl_une_calib'), ('fp', 'wl_fp'), ('fp_str', 'wl_fp_str'), ('fp_calib','wl_fp_calib')])
Monica Rainer's avatar
Monica Rainer committed
189

Monica Rainer's avatar
Monica Rainer committed
190 191 192 193
CONFIG['DB_CALIB_DATATYPE'] = OrderedDict()
for colname in CONFIG['DB_CALIB_COLS']:
    CONFIG['DB_CALIB_DATATYPE'][colname] = 'TEXT' 
CONFIG['DB_CALIB_DATATYPE']['01_data'] = 'TEXT unique'
194
CONFIG['DB_CALIB_DATATYPE']['shiftY'] = 'INTEGER'
Monica Rainer's avatar
Monica Rainer committed
195 196

# Night reduction database
Monica Rainer's avatar
Monica Rainer committed
197 198 199 200 201 202 203 204

CONFIG['DB_ONLINE'] = ''.join(('db_',CONFIG['DATE'],'_online.db'))
CONFIG['DB_OFFLINE'] = ''.join(('db_',CONFIG['DATE'],'_offline.db'))
CONFIG['DB_ONLINE_PATH'] = os.path.join(CONFIG['WEBUI_DB_DIR'], CONFIG['DB_ONLINE'])
CONFIG['DB_OFFLINE_PATH'] = os.path.join(CONFIG['WEBUI_DB_DIR'], CONFIG['DB_OFFLINE'])

CONFIG['DB_2D_TBL'] = 'spec2dfiles'
CONFIG['DB_1D_TBL'] = 'spec1dfiles'
205
CONFIG['DB_CAL_TBL'] = 'calib'
Monica Rainer's avatar
Monica Rainer committed
206 207 208

CONFIG['DB_2D_COLS'] = OrderedDict([('names', 'spec_2d_names'), ('stamp', 'process_timestamp')])
CONFIG['DB_1D_COLS'] = OrderedDict([('path', 'spec_1d_path'), ('stamp', 'process_timestamp'), ('id', 'spec_1d_id'), ('type', 'spec_1d_type'), ('stat', 'arch_stat'), ('name', 'objname'), ('slit', 'slitpos'), ('snry', 'snr1'), ('snrj', 'snr2'), ('snrh', 'snr3'), ('snrk', 'snr4')])
209
CONFIG['DB_CAL_COLS'] = OrderedDict([('type', 'calib_type'), ('names', 'calib_names'), ('status', 'calib_status'), ('stamp', 'process_timestamp')])
Monica Rainer's avatar
Monica Rainer committed
210 211 212

CONFIG['DB_2D_DATATYPE'] = {'names': 'TEXT unique', 'stamp': 'REAL'}
CONFIG['DB_1D_DATATYPE'] = {'path': 'TEXT unique', 'stamp': 'REAL', 'id': 'TEXT', 'type': 'TEXT', 'stat': 'INTEGER', 'name': 'TEXT', 'slit': 'TEXT', 'snry': 'REAL', 'snrj': 'REAL', 'snrh': 'REAL', 'snrk': 'REAL'}
213
CONFIG['DB_CAL_DATATYPE'] = {'type': 'TEXT', 'names': 'TEXT unique', 'status': 'TEXT', 'stamp': 'REAL'}
Monica Rainer's avatar
Monica Rainer committed
214 215 216

CONFIG['DB_NIGHT'] = CONFIG['DB_ONLINE']
CONFIG['DB_NIGHT_PATH'] = CONFIG['DB_ONLINE_PATH']
Monica Rainer's avatar
Monica Rainer committed
217 218 219 220 221 222 223 224 225

#
# Extraction info
#

CONFIG['MASK_C'] = os.path.join(CONFIG['RES_DIR'], 'GIANOB_MASKC.fits')
CONFIG['A_POS'] = 8. # guess pixel position for A
CONFIG['B_POS'] = 23. # guess pixel position for B
CONFIG['C_POS'] = 15. # guess pixel position for C
226
CONFIG['Y_POS'] = 4 # max. pixel difference between expected and real pixel position
Monica Rainer's avatar
Monica Rainer committed
227
CONFIG['HWTM'] = 6. # hwtm limit for contamination between A and B
Monica Rainer's avatar
Monica Rainer committed
228
CONFIG['S1D'] = True # flag for creation of s1d output (True/False)
229
CONFIG['S1D_NORM'] = False # flag for normalization of s1d output (True/False)
230
CONFIG['S1D_STEP'] = 0.001 # constant step to use in s1d spectra
Monica Rainer's avatar
Monica Rainer committed
231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247

#
# Wavelength calibration
#

CONFIG['WAVE_SELECT'] = os.path.join(CONFIG['RES_DIR'], 'UNe_lines_GIANO_selected.txt')
CONFIG['WAVE_ALL'] = os.path.join(CONFIG['RES_DIR'], 'UNe_observed_lines_GIANOB_18nov2016.txt')
CONFIG['WAVE_FIT'] = {'drift':0.0, 'low_fwhm':1.7, 'high_fwhm':4.0, 'wrange1':10, 'confidence1':3, 'wrange2':5, 'confidence2':1.5, 'xc_range':10}
CONFIG['XC_GUESS'] = {32:987, 33:984, 34:982, 35:980, 36:978, 37:976, 38:974, 39:972, 40:970, 41:968, 42:965, 43:963, 44:960, 45:957, 46:955, 47:952, 48:949, 49:946, 50:943, 51:940, 52:937, 53:933, 54:930, 55:927, 56:924, 57:921, 58:918, 59:914, 60:910, 61:907, 62:904, 63:901, 64:898, 65:895, 66:892, 67:889, 68:886, 69:883, 70:880, 71:877, 72:874, 73:871, 74:868, 75:865, 76:862, 77:859, 78:857, 79:855, 80:853, 81:851}
CONFIG['L0_GUESS'] = {32:2398.32, 33:2325.63, 34:2257.24, 35:2192.68, 36:2131.75, 37:2074.09, 38:2019.53, 39:1967.73, 40:1918.56, 41:1871.75, 42:1827.18, 43:1784.70, 44:1744.14, 45:1705.38, 46:1668.31, 47:1632.82, 48:1598.81, 49:1566.20, 50:1534.86, 51:1504.78, 52:1475.85, 53:1448.03, 54:1421.20, 55:1395.38, 56:1370.45, 57:1346.41, 58:1323.22, 59:1300.78, 60:1279.12, 61:1258.15, 62:1237.85, 63:1218.21, 64:1199.17, 65:1180.72, 66:1162.83, 67:1145.47, 68:1128.62, 69:1112.26, 70:1096.36, 71:1080.91, 72:1065.89, 73:1051.28, 74:1037.06, 75:1023.22, 76:1003.74, 77:996.61, 78:983.81, 79:971.34, 80:959.17, 81:947.30}

#
# Misc Calibrations
#

CONFIG['DO_CALIB'] = {'dark':True, 'flat':True, 'une':True, 'fp':True, 'only_calib':False}
#CONFIG['DO_CALIB'] = {'dark':False, 'flat':False, 'une':False, 'fp':False, 'only_calib':False}
Monica Rainer's avatar
Monica Rainer committed
248 249 250

CONFIG['USE_FLAT'] = {'global':False, 'order':True, 'nor':False} # global: flat normalized by global mean value - order: flat normalized order by order by mean value - nor: flat normalized row by row by continuum fitting, removing the blaze function - No True value: no flat division

Monica Rainer's avatar
Monica Rainer committed
251 252 253
CONFIG['DARKLIST'] = {10:[],30:[],60:[],100:[],200:[],300:[],600:[]} # exptime dei dark
CONFIG['NDARK'] = len(CONFIG['DARKLIST']) # quanti tipi di dark (esempio: 10,30,60,100 sec = 4) meglio sovrastimare

Monica Rainer's avatar
Monica Rainer committed
254
CONFIG['WEXT'] = 10 # extraction half-window for wavelength calibration, it will extract 2*wext around the center of the order
Monica Rainer's avatar
Monica Rainer committed
255 256

#
257
# Detector info
Monica Rainer's avatar
Monica Rainer committed
258 259
#

Monica Rainer's avatar
Monica Rainer committed
260 261 262 263
CONFIG['RON'] = 5.0 # electrons
CONFIG['GAIN'] = 2.2 # e/ADU
CONFIG['XCCD'] = 2048
CONFIG['YCCD'] = 2048
Monica Rainer's avatar
Monica Rainer committed
264 265
CONFIG['N_ORD'] = 50 # number of echelle orders
CONFIG['W_ORD'] = 41 # width of straighten order in pixel
266
CONFIG['SHIFT_Y'] = 20 # expected bottom position of flat signal on the lowest order and the left side of the detector. DO NOT CHANGE.
Monica Rainer's avatar
Monica Rainer committed
267 268 269 270 271

#
# Quality checks
#

Monica Rainer's avatar
Monica Rainer committed
272
CONFIG['DARK_MEAN'] = {10:[10.0,10.0,10.0,10.0], 30:[25.0,25.0,25.0,25.0], 60:[50.0,50.0,50.0,50.0], 100:[80.0,80.0,80.0,80.0], 200:[800.0,800.0,800.0,800.0], 300:[800.0,800.0,800.0,800.0], 600:[800.0,800.0,800.0,800.0]} # Dark quality check: mean signal below this number (4 quadrant for 7 exposure time)
Monica Rainer's avatar
Monica Rainer committed
273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292
CONFIG['FLATSIGNAL'] = 300 # lowest flat signal expected to pass quality check
CONFIG['SCIENCECHECK'] = [500,540,140,160] # region x1:x2,y1:y2 for images' quality check
#CONFIG['NODSIGNAL'] = 2*CONFIG['DARK_MEAN']['quadrant'][0] # lowest image signal expected to pass quality check
CONFIG['NODSIGNAL'] = 0.0 # lowest image signal expected to pass quality check



if USRCONFIG['OFFLINE']:
    for key in USRCONFIG.keys():
        CONFIG[key] = USRCONFIG[key]

    CONFIG['RAW_DIR'] = os.path.join(CONFIG['BASE_RAW'],CONFIG['DATE'])
    CONFIG['OFFLINE_DIR'] = os.path.join(CONFIG['BASE_RED_DIR'],CONFIG['DATE'])
    CONFIG['RED_DIR'] = os.path.join(CONFIG['OFFLINE_DIR'],'offline')
    CONFIG['RED_CALIB'] = os.path.join(CONFIG['RED_DIR'],'CALIB')
    CONFIG['RED_STR'] = os.path.join(CONFIG['RED_DIR'],'STR')
    CONFIG['LOG_FILE'] = os.path.join(CONFIG['RED_DIR'], 'drs.log')
    CONFIG['RAMP_NAME'] = 'ramps' + CONFIG['DATE'] + '.db'
    CONFIG['DB_RAMP'] = os.path.join(CONFIG['BASE_RAMP'],CONFIG['RAMP_NAME'])

293 294
    CONFIG['DB_OFFLINE'] = ''.join(('db_',CONFIG['DATE'],'_offline.db'))
    CONFIG['DB_OFFLINE_PATH'] = os.path.join(CONFIG['WEBUI_DB_DIR'], CONFIG['DB_OFFLINE'])
Monica Rainer's avatar
Monica Rainer committed
295 296 297
    CONFIG['DB_NIGHT'] = CONFIG['DB_OFFLINE']
    CONFIG['DB_NIGHT_PATH'] = CONFIG['DB_OFFLINE_PATH']

Monica Rainer's avatar
Monica Rainer committed
298 299 300
    maskc = ''.join(('GIANOB_MASKC_',CONFIG['DATE'],'.fits'))
    CONFIG['MASK_C'] = os.path.join(CONFIG['RES_DIR'], maskc)

Monica Rainer's avatar
Monica Rainer committed
301