[apex_geo]

overwrite_frame = 0

trail_len_tol = 5.0             # [float] Star trail length tolerance, px (0 to disable trail length check) (trail_len_tol >= 0)



[apex_geo_auto]

auto_postfilter = 1             # [bool] Automatically choose between trail_cluster and cluster postfilter based on the expected star trail length

deblend = 0                     # [bool] GEO detection: enable deblending

disable_calib = 1               # [bool] Turn off automatic image calibration

disable_measurement = 0         # [bool] Disable the PSF fitting stage; use barycenter/manual XY positions')

disable_search = 0              # [bool] Disable the automatic GEO detection stage

fit_tol = 0.0001                # [float] Desired relative error of fit for GEO objects (geo_fit_tol > 0)

identify_detections = 0         # [bool] Match GEOs detected against orbital element databases available

max_iter = 0                    # [int] Maximum number of fitting iterations for GEO objects (0 = auto) (geo_max_iter >= 0)

min_frames = 5                  # [int] Minimum number of frames in a series (min_frames >= 0)

postfilter_chain = trail_elim, cluster  # [str] GEO detection: filters applied before segmentation

prefilter_chain = ,             # [str] GEO detection: filters applied before thresholding

series_len = 0.0                # [float] Maximum allowed duration of a single series, minutes (series_len > 0)

series_tol = 0.0                # [float] Maximum relative displacement of frames within a series, arcmin (series_tol > 0)

series_by_target = 1

subtract_stars = 0              # [bool] Subtract detected reference stars before detecting GEO objects

target_match_tol = 2.0          # [float] Manual target GEO XY position accuracy, px (target_match_tol >= 0)

threshold = 2.5                 # [float] GEO detection threshold in units of noise RMS (geo_threshold > 0)

trail_len_tol = 5.0             # [float] Star trail length tolerance, px (0 to disable trail length check) (trail_len_tol >= 0)

trail_width_tol = 3.0           # [float] Star trail width tolerance factor (0 to disable trail width check) (trail_width_tol >= 0)



[apex_geo_ephem]

interval = 3

max_h_sun = -10.0               # [float] Skip intervals where Sun is above this elevation, in degrees (-90 < max_h_sun <= 90)

min_h = 10.0                    # [float] Skip intervals where elevation is below this limit, in degrees (-90 <= min_h < 90)

radec = 1

refraction = 1

skip_shadow = 1

step = 60



[apex_geo_monitor]

ask_for_directory = 1           # [bool] Run directory selection dialog at startup, use watched_directory as a starting point

watched_directory = C:\Users\Lenovo\OBS\20160824        # [str] Directory to monitor or default for startup directory selection if enabled



[apex_geo_postprocess]

dump_orbit = 1

max_track_len = 300

split_by_match = 0



[apex_stack]

alignment = full

stack_mode = average



[apex]

_debug = 0

_version = 2.4.0.20160503       # Version of Apex core configuration (do not change!)



[apex.astrometry.nutation]

nut_theory = SF2001             # [str] Nutation theory (IAU-1980 or Shirai & Fukushima 2001) (IAU1980, SF2001)



[apex.astrometry.reduction.sip_model]

auto_exclude_terms = 1          # [bool] Automatically exclude insignificant {A|B}_p_q terms

order = 4                       # [int] Maximum {A|B}_p_q polynomial order (order >= 2)



[apex.astrometry.reduction.solution]

default_model = 8const          # [str] Default plate reduction model ID

iterative = 0                   # [bool] Perform iterative reduction

max_error = 1.0                 # [float] [px] Exclude stars with larger residuals (0 to disable) (max_error >= 0)

model_order = sip, 8const, 6const       # [str list] Preferred plate reduction models, by decreasing priority

radius = 0.0                    # [float] [arcmin] Exclude stars outside the central distortion-free zone of this radius (0 to disable)

weighted = 0                    # [bool] Perform weighted reduction

discard_saturated = 1           # [int] Discard objects with this number of saturated pixels (0 = disable) (discard_saturated >= 0)



[apex.astrometry.refraction]

eff_wavelength = 0.55           # [float] [um] Default effective wavelength for refraction calculation (eff_wavelength > 0)

humidity = 50.0                 # [float] [%] Default relative humidity for refraction calculation (0 <= humidity <= 100)

pressure = 1013.25              # [float] [hPa] Default air pressure for refraction calculation (pressure > 0)

temperature = 0.0               # [float] [degC] Default temperature for refraction calculation

tlr = 0.0065                    # [float] [K/m] Tropospheric temperature lapse rate for refraction calculation (tlr > 0)



[apex.astrometry.wcs]

default_proj = TAN              # [str] Projection assumed by default for all WCS transformations (COP, PAR, AIT, TSC, AIR, COE, COD, BON, AZP, SIN, COO, CYP, CEA, CAR, TAN, STG, MER, CSC, ZPN, SZP, QSC, ZEA, SFL, ARC, MOL, PCO)

pole_offset = 1e-07             # [float] Amount to shift near-pole points when doing conversion from spherical coordinates to make transform reversible, rad (pole_offset > 0)



[apex.calibration.background]

default_estimator = clean       # [str] Default background estimation algorithm ID



[apex.calibration.background.clean_estimator]

gauss_sigma = 3.0               # [float] Gaussian post-smoothing amount (0 to disable) (gauss_sigma >= 0)

percentile = 0.3                # [float] Filter percentile (0.5 = median) (0 <= percentile <= 1)

margin = 1                      # [int] Do not use the specified number of marginal rows/columns (margin >= 0)

kernel_factor = 4.0             # [float] Filter kernel size in units of seeing (kernel_factor > 0)



[apex.calibration.background.median_estimators]

edge_width = 8                  # [int] Width of image areas used to remove edge artifacts (edge_width >= 0)

gauss_sigma = 16.0              # [float] Gaussian post-smoothing amount (0 to disable) (gauss_sigma >= 0)

median_scale = 0.08             # [float] Background inhomogeneity scale for median filter, in units of image size (0 to disable) (0 <= median_scale <= 1)

pass2_gauss_sigma = 5.0         # [float] Gaussian post-smoothing amount for pass 2 (0 to disable) (pass2_gauss_sigma >= 0)

pass2_sigma_factor = 3.0        # [float] Sigma-clipping factor for pass 2 (pass2_sigma_factor > 0)

shrink_factor = 8.0             # [float] Amount to shrink image before smoothing (shrink_factor >= 1)



[apex.calibration.background.minmax_estimator]

kernel_factor = 2.0             # [float] Minmax filter kernel size in units of seeing (kernel_factor > 0)



[apex.calibration.background.morphology_estimators]

kernel_factor = 8.0             # [float] Filter kernel size in units of seeing (kernel_factor > 0)



[apex.calibration.background.poly_estimator]

x_degree = 2                    # [int] Approximating polynomial degree in X (x_degree >= 0)

y_degree = 2                    # [int] Approximating polynomial degree in Y (y_degree >= 0)



[apex.calibration.cosmetic]

avlen = 5                       # [int] Length of averaging area for elimination of bad columns and rows (avlen > 1)

avmethod = average              # [str] Averaging method (average, median)

avsize = 3                      # [int] Size of square averaging area for elimination of bad pixels (avsize > 1)

bad_col_fraction = 0.5          # [float] Fraction of column occupied by bad pixels needed to consider the whole column as bad (0 <= bad_col_fraction <= 1)

bad_cols = ,                    # [int list] List of X coordinates of bad columns

bad_pixels = ,                  # [str list] List of X:Y coordinates of bad pixels

bad_row_fraction = 0.5          # [float] Fraction of row occupied by bad pixels needed to consider the whole row as bad (0 <= bad_row_fraction <= 1)

bad_rows = ,                    # [int list] List of Y coordinates of bad rows

sigma_factor = 10.0             # [float] Sigma-clipping factor used in iterative identification of deviating pixels (sigma_factor > 0)



[apex.calibration.cosmic_rays]

cr_reject_level = 4.0           # [float] Cosmic ray rejection factor (cr_reject_level > 0)

sepmed = 1                      # [bool] Use the separable median filter instead of the full one

sigfrac = 0.3                   # [float] Fractional detection limit for neighboring pixels (sigfrac > 0)

psfbeta = 4.765                 # [float] Beta parameter for Moffat kernel (psfbeta > 0)

psfsize = 7                     # [int] [pixels] Size of the generated PSF kernel (odd) (psfsize > 0 and psfsize % 2)

cleantype = meanmask            # [str] Clean algorithm to use (median, medmask, meanmask, idw)

psffwhm = 2.5                   # [float] [pixels] FWHM of the generated PSF (psffwhm > 0)

sigclip = 4.5                   # [float] Laplacian-to-noise limit (sigclip > 0)

objlim = 5.0                    # [float] Minimum contrast between Laplacian image and fine structure image (objlim > 0)

fsmode = median                 # [str] Method to build the fine structure image (median, convolve)

niter = 4                       # [int] Number of iterations of L.A.Cosmic (niter >= 1)

psfmodel = gauss                # [str] Model to use to generate the PSF kernel for fsmode == convolve (gauss, gaussx, gaussy, moffat)



[apex.calibration.dark]

detrend_drift_dark = 0          # [bool] Eliminate linear growth of drift scan dark current due to low CTE

interp_exposure_degree = 1      # [int] Degree of fitting polynomial for interpolation by exposure duration (interp_exposure_degree > 0)

interp_temperature_degree = 1   # [int] Degree of fitting polynomial for interpolation by CCD temperature (interp_temperature_degree > 0)

leave_saturated_pixels = 1      # [bool] Leave saturated pixels intact during dark frame subtraction

max_memory = 512.0              # [float] Maximum megabytes of RAM consumed by superdark computation (max_memory > 0)



[apex.calibration.flat]

clip_factor = 3.0               # [float] Sigma clipping factor for superflat computation (clip_factor > 0)

leave_saturated_pixels = 1      # [bool] Leave saturated pixels intact during dark frame subtraction

local_average_size = 3          # [int] Averaging area size for bad pixels in superflat (local_average_size >= 3)

max_memory = 512.0              # [float] Maximum megabytes of RAM consumed by superflat computation (max_memory > 0)



[apex.calibration.params]

auto_offset = 0                 # [bool] Shift data to ensure minimum ADU = 0

clip_max = 65535                # [int] [ADU] Upper clipping boundary

clip_min = 0                    # [int] [ADU] Lower clipping boundary

default_seeing = 15.0           # [float] Default seeing estimate, arcsec (default_seeing > 0)

offset = 0                      # [int] Constant offset to add after additive calibration operations

sat_level = 65535               # [int] [ADU] CCD saturation level

use_clip_max = 0                # [bool] Enable upper clipping boundary

use_clip_min = 0                # [bool] Enable lower clipping boundary

use_sat_level = 0               # [bool] Enable clipping of ADUs above the saturation level

bias_level = 0                  # [int] [ADU] Mean CCD bias level



[apex.catalog]

ident_tol = 7.0                 # [float] [arcsec] Object position tolerance for identification (ident_tol > 0)

default_catalog = USNO-A2.0     # [str] Global default catalog ID for all queries



[apex.catalog.epos_reader]

base_priority = 10.0            # [float] Priority of the 1st EPOS catalog

catalog_mapping = {3: "Comet"}  # [str] Catalog number-to-type mapping

epos_path = ""                  # [str] Path to the EPOS installation

mag_limit = 0.0                 # [float] Upper magnitude limit for area queries (0 to disable)



[apex.catalog.hip_reader]

allow_remote = 0                # [bool] Use Internet (VizieR) version when local catalog is not available

astrometric_priority = 15       # [int] Priority of HIPPARCOS for astrometric reduction

cat_path = ""                   # [str] Path to HIPPARCOS catalog file (hip_main.dat)

full_rec = 0                    # [bool] Return extended fields for each star (can slow down queries for rich fields)

ident_priority = 12             # [int] Priority of HIPPARCOS for object identification

photometric_priority = 5        # [int] Priority of HIPPARCOS for photometric reduction

inst_mag = None=Hpmag           # [str] Instrumental magnitude expression

inst_mag_err = None=Hpmag_err   # [str] Instrumental magnitude error expression



[apex.catalog.imcce_skybot]

base_url = http://vo.imcce.fr/webservices/skybot        # [str] SkyBoT web service URL

priority = -9.0                 # [float] Priority of the SkyBoT database for object identification

comets = 1                      # [bool] Enable querying for comets

asteroids = 1                   # [bool] Enable querying for asteroids

planets = 1                     # [bool] Enable querying for planets



[apex.catalog.ison_reader]

cat_path = ~/.Apex/ison         # [str] Path to catalog files

priority = 15                   # [int] Priority of the catalog for object identification

dynamic_update = 1              # [bool] Track changes to catalog disk files while Apex is running



[apex.catalog.landolt_reader]

ident_priority = -1             # [int] Priority of Landolt stars for object post-identification

inst_mag = None=(3*B + 5*R)/8   # [str] Instrumental magnitude expression

inst_mag_err = ""               # [str] Instrumental magnitude error expression for Landolt photometric standards

photometric_priority = -1       # [int] Priority of Landolt stars for differential photometry



[apex.catalog.text_reader]

catalogs = ,                    # [str list] List of user catalog IDs



[apex.catalog.tle_reader]

priority = 10                   # [int] Priority of TLE data for object identification

stdmag = 2.0                    # [float] Standard magnitude at 1000km range and 90deg phase angle

tle_path = ~/.Apex/tle          # [str] Path to TLE files

dynamic_update = 1              # [bool] Track changes to catalog disk files while Apex is running



[apex.catalog.twomass_reader]

full_rec = 0                    # [bool] Return extended fields for each star (can slow down queries for rich fields)

ident_priority = -7             # [int] Catalog priority for object identification

inst_mag = None=(3*B + 5*R)/8   # [str] Instrumental magnitude expression

photometric_priority = -7       # [int] Catalog priority for photometric reduction

astrometric_priority = -7       # [int] Catalog priority for astrometric reduction



[apex.catalog.tyc2_reader]

allow_remote = 0                # [bool] Use Internet (VizieR) version when local catalog is not available

astrometric_priority = 12       # [int] Priority of Tycho-2 for astrometric reduction

cat_path = D:\Catalogs\Tycho-2  # [str] Path to Tycho-2 catalog files (tyc2.dat[.00-19] and index.dat)

disable_suppl1 = 0              # [bool] Ignore the 1st Tycho-2 supplement

full_rec = 0                    # [bool] Return extended fields for each star (can slow down queries for rich fields)

ident_priority = -12            # [int] Priority of Tycho-2 for object identification

inst_mag = None=V; R=V          # [str] Instrumental magnitude expression

inst_mag_err = None=V_err; R=V_err      # [str] Instrumental magnitude error expression

photometric_priority = 12       # [int] Priority of Tycho-2 for photometric reduction



[apex.catalog.ucac_reader]

allow_remote = 0                # [bool] Use Internet (VizieR) version when local catalog is not available

astrometric_priority = 10       # [int] Catalog priority for astrometric reduction

cat_path = ""                   # [str] Path to UCAC catalog files (z???)

full_rec = 0                    # [bool] Return extended fields for each star (can slow down queries for rich fields)

ident_priority = 8              # [int] Catalog priority for object identification

mag_type = psf                  # [str] Type of magnitude used for UCAC3/4 (psf, aper)

photometric_priority = 2        # [int] Catalog priority for photometric reduction

inst_mag = None=cat_mag         # [str] Instrumental magnitude expression

min_images = 3                  # [int] Minimum number of images used for a UCAC3/4 star (nu1) (min_images >= 0)

inst_mag_err = None=cat_mag_err         # [str] Instrumental magnitude error expression



[apex.catalog.usno_reader]

mag_limit = 0.0                 # [float] Upper magnitude limit for area queries (0 to disable)

usnoa_allow_remote = 0          # [bool] Use Internet (VizieR) version when local catalog is not available

usnoa_astrometric_priority = 3  # [int] Priority of USNO-A for astrometric reduction

usnoa_cat_path = ""             # [str] Path to USNO-A catalog files (.cat and .acc)

usnoa_ident_priority = 3        # [int] Priority of USNO-A for object identification

usnoa_photometric_priority = 3  # [int] Priority of USNO-A for photometric reduction

usnob_allow_remote = 0          # [bool] Use Internet (VizieR) version when local catalog is not available

usnob_astrometric_priority = 4  # [int] Priority of USNO-B for astrometric reduction

usnob_cat_path = ""             # [str] USNO-B catalog directory (that containing 000 etc. subdirectories)

usnob_full_rec = 0              # [bool] Return extended fields for each star (can slow down queries for rich fields)

usnob_ident_priority = 4        # [int] Priority of USNO-B for object identification

usnob_photometric_priority = 4  # [int] Priority of USNO-B for photometric reduction

usnob_ppmxl_corr = 1            # [bool] Apply PPMXL correction to USNO-B1.0 coordinates and proper motions



[apex.catalog.xpm_reader]

astrometric_priority = 12       # [int] Priority of XPM for astrometric reduction

cat_path = ""                   # [str] Path to XPM catalog files (xpm[00-35].cat)

full_rec = 0                    # [bool] Return extended fields for each star (can slow down queries for rich fields)

ident_priority = 12             # [int] Priority of XPM for object identification

photometric_priority = 12       # [int] Priority of XPM for photometric reduction

allow_remote = 0



[apex.extra.EP]

_version = 1.2.1                # EP package configuration version (do not change!)



[apex.extra.GEO]

_version = 4.0.8                # GEO package configuration version (do not change!)



[apex.extra.GEO.detection]

diurnal_tol = 0.0               # [float] [arcsec/s] Tolerance on rejecting objects with HA velocity equal to diurnal (0 to disable) (diurnal_tol >= 0)

max_acc = 0.01                  # [float] [arcsec/s2] Maximum allowed object acceleration (0 -> constrain to linear paths) (max_acc >= 0)

max_vel = 30.0                  # [float] [arcsec/s] Maximum allowed object velocity (max_vel > 0)

orbit_tol = 10.0                # [float] Maximum allowed deviation from orbit, arcsec (orbit_tol > 0)

min_tracklet_len = 5            # [int] Minimum allowed number of detections per tracklet (min_tracklet_len >= 0)

tracklet_tol = 3.0              # [float] [arcsec] Maximum allowed deviation from tracklet (tracklet_tol > 0)

fixed_object_tol_factor = 10.0  # [float] Automatic fixed_object_tol = astrometric accuracy * fixed_object_tol_factor (fixed_object_tol_factor > 0)

validate_orbit = 1              # [bool] Enable initial satellite orbit validation

max_tracklets = 1000000         # [int] Maximum number of candidate tracklets (max_tracklets > 0)

fixed_object_tol = 30.0         # [float] [arcsec] Reject objects with constant RA/Dec position within this precision (0 = auto, <0 = disable)

search_factor = 50.0            # [float] Tracklet search radius, in units of tracklet_tol (search_factor > 0)

min_vel = 0.0                   # [float] [arcsec/s] Minimum allowed object velocity (min_vel >= 0)



[apex.extra.GEO.ephem]

format = vt                     # [str] Output GEO ephemeris format



[apex.extra.GEO.geo_catalog]

active_tol_factor = 3.0         # [float] Increase lateral tolerance by this factor for active satellites (active_tol_factor >= 1)

ephem_propagator = SGP4         # [str] ID of satellite orbit propagator for ephemeris computation

ident_propagator = SGP4         # [str] ID of satellite orbit propagator for identification

lat_tol = 0.0005                # [float] [rad] Lateral tolerance for object identification (lat_tol > 0)

long_tol = 0.025                # [float] [rad] Longitudinal tolerance for object identification (long_tol > 0)



[apex.extra.GEO.propagation]

default_propagator = SGP4       # [str] ID of default satellite orbit propagator



[apex.extra.GEO.report]

format = telegram,              # [str list] GEO object measurement report format(s)

station = 10072                 # [str] Station code

override = 0                    # [bool] Override existing measurements



[apex.extra.GEO.report.ison_report]

template = {year:04d}{month:02d}{day:02d}_{sensor}.xml  # [str] Measurement file name template



[apex.extra.GEO.report.telegram_report]

output_encoding = cp1251        # [str] Cyrillic character encoding in telegram (, cp855, cp866, cp1251, iso8859_5, koi8_r, koi8_u, mac_cyrillic, utf_8)

report_by_object = 0            # [bool] Generate a separate report file for each target object



[apex.extra.GEO.satellite_orbit]

max_error = 10.0                # [float] [arcsec] Unconditionally reject points with larger residuals in IOD (0 = disable) (max_error >= 0)

error_threshold = 2.0           # [float] [arcsec] Do not reject points with smaller resodials in IOD (error_threshold >= 0)

circ_orbit_threshold = 0.1      # [float] [%] Threshold for the ratio of track time span to orbital period (circ_orbit_threshold >= 0)



[apex.extra.MP]

_version = 2.0.7                # MP package configuration version (do not change!)



[apex.extra.MP.mpc_report]

contact = ""                    # [str] Batch header: contact details (triple quotes for multi-line)

disable_photometry = 0          # [bool] Do not include the magnitude column into MPC line

filter = ""                     # [str] Default optical band name (, B, V, R, I, J, W, U, g, r, i, w, y, z)

hiprec = 0                      # [bool] Use maximum available decimal places

mask = (object)/(refcat)((observer)).mpc        # [str] Batch file name pattern

measurers = ""                  # [str] Batch header: list of measurers (triple quotes for multi-line)

path = ""                       # [str] Location of MPC observation batches

stats_mask = (object)/stats     # [str] Stats file name pattern

telescope = ""                  # [str] Batch header: telescope details



[apex.extraction]

_debugimg = 0

auto_threshold = 1              # [bool] Automatically compute detection threshold based on object_area

back_level = mean               # [str] Background level estimation method (back_level in ("mean", "mode"))

deblend = 0                     # [bool] Enable deblending

deblender = mt_conn             # [str] Deblending algorithm ID

extractor = conn                # [str] Object extraction algorithm ID

fit_noise = 1                   # [bool] Refine detection threshold by fitting noise model

max_star_area = 0.1             # [float] Maximum allowed fraction of the total image area occupied by a star (max_star_area >= 0)

min_pixels_per_star = 3         # [int] Minimum allowed number of connected pixels which triggers detection (min_pixels_per_star >= 0)

object_area = 0.1               # [float] Desired image area percent covered by objects for auto-thresholding (0 - use Otsu's thresholding) (0 <= object_area <= 100)

postfilter_chain = trail_cluster,       # [str list] Comma-separated list of filters applied before segmentation

prefilter_chain = ,             # [str list] Comma-separated list of filters applied before thresholding

threshold = 10.0                # [float] Detection threshold in units of noise RMS

empty_frame_threshold = 2.5     # [float] Detection threshold of frame with no objects if auto_threshold = 1, in units of noise RMS

exclude = ""                    # [str] Exclude objects based on custom conditions



[apex.extraction.conn_deblender]

connectivity = 1.0              # [float] Connectivity index (connectivity > 0)

min_pixels = 3                  # [int] Minimum allowed number of connected pixels for a component (min_pixels >= 0)

threshold_levels = 64           # [int] Number of levels for multithresholding (threshold_levels > 0)



[apex.extraction.conn_extractor]

connectivity = 1.0              # [float] Connectivity index (connectivity > 0)



[apex.extraction.filtering.cleaning_prefilters]

bad_col_median_width = 10       # [int] Median filter width for bad column eliminator (bad_col_median_width > 0)

bad_col_sigma_factor = 2.5      # [float] Sigma factor for bad column detection (bad_col_sigma_factor > 0)

spike_filter_level = 5.0        # [float] Spike elimination filter clipping level, in RMS units (spike_filter_level > 0)

spike_filter_size = 3           # [int] Averaging square edge length for spike elimination filter (spike_filter_size >= 3)

zero_filter_size = 3            # [int] Averaging square edge length for zero pixel elimination filter (zero_filter_size >= 3)



[apex.extraction.filtering.denoising_prefilters]

iter = 1                        # [int] Number of filtering iterations (iter >= 1)

kind = mean                     # [str] Condition for replacing the pixel by its local average (mean, min)



[apex.extraction.filtering.general_prefilters]

gauss_sigma = 0.0               # [float] Gaussian filter sigma (0 = auto) (gauss_sigma >= 0)

median_kernel_size = 3          # [int] Median filter kernel size (0 = auto) (median_kernel_size >= 0)



[apex.extraction.filtering.morphology_filters]

density_threshold = 0.5         # [float] Clustering filter relative density threshold (0 <= density_threshold <= 1)

kernel_size = 0                 # [int] Clustering post-filter kernel size (odd) (kernel_size == 0 or kernel_size > 0 and kernel_size % 2 == 1)

le_annulus_factor = 3.0         # [float] Local extraction pre-filter annulus size factor (le_annulus_factor > 1)

le_kernel_size = 0              # [int] Local extraction pre-filter kernel size (odd); 0 = auto (le_kernel_size == 0 or le_kernel_size > 0 and le_kernel_size % 2 == 1)



[apex.extraction.filtering.trail_filters]

density_threshold = 0.1         # [float] Trail-clustering filter relative density threshold (0 <= density_threshold <= 1)

trail_cluster_length_factor = 0.5       # [float] Trail-clustering filter kernel length, in units of star trail length (trail_cluster_length_factor > 0)

trail_elim_length_factor = 2.0  # [float] Trail eliminator filter kernel length, in units of star trail length (trail_elim_length_factor > 0)

trail_elim_threshold = 0.6      # [float] Neighbor count threshold for star trail eliminator (0 <= trail_elim_threshold <= 1)



[apex.extraction.rwave_deblender]

min_pixels = 5                  # [int] Minimum allowed number of connected pixels for a component (min_pixels >= 0)

threshold_levels = 32           # [int] Number of levels for multithresholding (threshold_levels > 0)



[apex.identification]

allow_flip = 1                  # [bool] Allow coordinate flip between image and catalog

allow_pure_neighbor_match = 0   # [bool] Allow neighbor match with no objects identified by the matching core

dec_tol = 180.0                 # [float] [arcmin] Boresight position tolerance in Dec (dec_tol >= 0)

match_factor = 1.8              # [float] Factor for number of extra catalog stars (match_factor > 0)

max_objects = 30                # [int] Maximum number of objects for direct match (max_objects >= 0)

min_nnmatch_objects = 10        # [int] Minimum number of objects for nearest neighbor match (min_nnmatch_objects >= 0)

min_objects = 4                 # [int] Minimum number of objects required for successful match (min_objects >= 0)

name_match_mag_tol = 1.0        # [float] Magnitude tolerance for match by target name (0 to disable) (name_match_mag_tol >= 0)

name_match_tol = 15.0           # [float] [arcsec] Position tolerance for match by target name (name_match_tol > 0)

nnmatch_tol = 3.0               # [float] Position tolerance for nearest neighbor match, px (nnmatch_tol > 0)

preferred_algorithms = triangle_fs,     # [str list] List of matching algorithms to use, in order of preference

ra_tol = 180.0                  # [float] [arcmin] Boresight position tolerance in RA (ra_tol >= 0)

scale_tol = 0.1                 # [float] Relative image-catalog scale tolerance (0 to disable) (scale_tol >= 0)

search_step = 0.75              # [float] FOV fraction to step by while searching field (>=1 - no overlapping) (search_step > 0)

shear_tol = 3.0                 # [float] Relative image-catalog shear angle tol., deg (0 to disable) (shear_tol >= 0)

sufficient_objects = 8          # [int] Number of matched objects to skip other algorithms (sufficient_objects >= 0)

skew_tol = 3.0                  # [float] [deg] Relative image-catalog skewness angle tolerance (0 to disable) (skew_tol >= 0)



[apex.identification.dist_orient_identifier]

confidence = 0.15               # [float] Vote confidence level (0 < confidence <= 1)

dist_tol = 5.0                  # [float] Maximum allowed distance uncertainty, px (dist_tol > 0)

rot_tol = 5.0                   # [float] Plate rotation tolerance, deg (rot_tol > 0)



[apex.identification.triangle_identifier]

confidence = 0.15               # [float] Vote confidence level (0 < confidence <= 1)

match_tol = 0.001               # [float] Edge ratio tolerance (match_tol > 0)

min_edge = 0.003                # [float] Minimum allowed dimensionless edge length (min_edge >= 0)

ratio_limit = 10.0              # [float] Maximum allowed edge ratio (ratio_limit > 1)



[apex.identification.world_view_identifier]

confidence = 0.25               # [float] Match quality threshold (0 < confidence <= 1)

max_rot = 5                     # [int] Maximum allowed rotation angle [deg]

min_rot = -5                    # [int] Minimum allowed rotation angle [deg]

profile_factor = 1.1            # [float] Proximity rescaling factor (1 + eps, where eps is small) (profile_factor > 1)

profile_subdivs = 360           # [int] Number of subdivisions of [0,360) range (profile_subdivs > 0)



[apex.io]

default_format = FITS           # [str] Default file format for writing images

margin_top = 0                  # [int] [px] Top margin (overscan)

margin_left = 0                 # [int] [px] Left margin (overscan)

margin_rigtt = 0                # [int] [px] Right margin (overscan)

margin_bottom = 0               # [int] [px] Left margin (overscan)



[apex.io.apex_fmt]

protocol = 1                    # [int] Storage protocol (see pickle module docs)



[apex.io.fits_fmt]

bitpix = USHORT                 # [str] Image data type (LONGLONG, SHORT, SBYTE, ULONG, DOUBLE, BYTE, USHORT, LONG, FLOAT)

compression = None              # [str] Compression algorithm (, None, RICE, GZIP, PLIO, HCOMPRESS)

field_mapping_in = field=OBJECT.split('_')[0]   # [str] User mapping between FITS keywords and Apex internal image attributes

field_mapping_out = ""          # [str] User mapping between Apex internal image attributes and FITS keywords

field_mapping_wcs = ""          # [str] User mapping between FITS keywords and Apex internal image WCS attributes



[apex.measurement.aperture]

annulus_inner_factor = 2.0      # [float] Inner annulus diameter scaling factor, with respect to the aperture diameter (annulus_inner_factor > 0)

annulus_inner_max = 0.0         # [float] [px] Maximum inner annulus diameter (annulus_inner_max >= 0)

annulus_inner_min = 0.0         # [float] [px] Minimum inner annulus diameter (annulus_inner_min >= 0)

annulus_outer_factor = 3.0      # [float] Outer annulus diameter scaling factor, with respect to the aperture diameter (annulus_outer_factor > 0)

annulus_outer_max = 0.0         # [float] [px] Maximum outer annulus diameter (annulus_outer_max >= 0)

annulus_outer_min = 0.0         # [float] [px] Minimum outer annulus diameter (annulus_outer_min >= 0)

aperture_factor = 4.0           # [float] Aperture scaling factor, with respect to FWHM (aperture_factor > 0)

aperture_max = 50.0             # [float] [px] Maximum aperture diameter (aperture_max >= 0)

aperture_min = 3.0              # [float] [px] Minimum aperture diameter (aperture_min >= 0)

default_aperture = elliptic     # [str] Global default aperture ID

use_annulus = 1                 # [bool] Estimate background using annulus around the aperture



[apex.measurement.psf.standard_baselines]

user_baseline = a0 + a1*x + a2*y        # [str] User baseline expression (x and y - coordinates, a0 - background level, a1,... - other parameters)



[apex.measurement.psf.standard_psfs]

moffat_exponent = 4.0           # [float] Moffat profile exponent beta (1 - Lorentz, infinity - Gauss) (moffat_exponent > 1)



[apex.measurement.psf_fitting]

_debugimg = 0

aperture_shape = elliptic       # [str] Aperture shape ID

baseline = planar               # [str] PSF baseline ID

fit_tol = 0.0001                # [float] Desired relative error of fit (fit_tol > 0)

max_iter = 0                    # [int] Maximum number of fitting iterations (0 = auto) (max_iter >= 0)

psf = gauss,                    # [str list] List of PSF shape IDs, in order of preference

saturated_pixels = discard      # [str] What to do with saturated pixels (discard, fit, ignore)

self_weighting = 0              # [bool] Perform self-weighting of data (may increase accuracy)

trail_threshold = 1.8           # [float] Minimum FWHM ratio for trails (trail_threshold > 1)



[apex.measurement.rejection]

rejector_post_sequence = boundary, nopeak, fwhm, fwhm_tol, snr  # [str list] Sequence of rejection criteria applied after PSF fitting

rejector_pre_sequence = fwhm,   # [str list] Sequence of rejection criteria applied before PSF fitting



[apex.measurement.rejection.standard_rejectors]

post>boundary_offset = 10.0     # [float] Offset from the exact image boundary for boundary rejector

post>fwhm_tol_factor = 3.0      # [float] FWHM tolerance factor (fwhm_tol_factor > 0)

post>max_fwhm = 20.0            # [float] Maximum allowed FWHM, px (0 to disable) (max_fwhm >= 0)

post>min_fwhm = 0.9             # [float] Minimum allowed FWHM, px (0 to disable) (min_fwhm >= 0)

post>min_snr = 5.0              # [float] Minimum allowed signal-to-noise ratio (min_snr >= 0)

pre>boundary_offset = 10.0      # [float] Offset from the exact image boundary for boundary rejector

pre>fwhm_tol_factor = 3.0       # [float] FWHM tolerance factor (fwhm_tol_factor > 0)

pre>max_fwhm = 20.0             # [float] Maximum allowed FWHM, px (0 to disable) (max_fwhm >= 0)

pre>min_fwhm = 0.9              # [float] Minimum allowed FWHM, px (0 to disable) (min_fwhm >= 0)

pre>min_snr = 1.0               # [float] Minimum allowed signal-to-noise ratio (min_snr >= 0)



[apex.net.settings]

auto_proxy = 1                  # [bool] Use automatic proxy settings

ftp_proxy = ""                  # [str] FTP proxy server (proto://domain.or.ip:port)

http_proxy = ""                 # [str] HTTP proxy server (proto://domain.or.ip:port)

timeout = 30.0                  # [float] [s] Network request timeout (timeout >= 0)



[apex.net.vizier]

base_url = http://vizier.u-strasbg.fr/cgi-bin/VizieR    # [str] URL of VizieR service web interface or its mirror



[apex.parallel]

ncpus = 0                       # [int] Number of parallel processing units (0 - auto) (ncpus >= 0)



[apex.photometry]

default_gain = 1.0              # [float] [e-/ADU] Default inverse gain if unspecified in the image header (default_gain > 0)

flux_type = aper                # [str] Which flux is used for instrumental magnitude (psf, aper, full, pixel)

default_readout_noise = 10.0    # [float] [e-] Default readout noise if unspecified in the image header (default_readout_noise > 0)



[apex.photometry.differential]

airmass_correction = 1          # [bool] Perform differential extinction (airmass) correction

discard_saturated = 1           # [int] Discard refstars with this number of saturated pixels (0 = disable) (discard_saturated >= 0)

error_method = fit              # [str] Differential photometry error estimation method (fit, rms)

max_mag = 12.0                  # [float] Upper magnitude limit (0 to disable)

max_snr = 800.0                 # [float] Maximum SNR for reference stars (0 to disable) (max_snr >= 0)

min_mag = 8.0                   # [float] Lower magnitude limit (0 to disable)

min_snr = 10.0                  # [float] Minimum SNR for reference stars (min_snr >= 0)

model = 0                       # [int] Degree of the model polynomial (model >= 0)

sigma_factor = 3.0              # [float] Sigma-clipping factor (sigma_factor > 0)

weighted = 0                    # [bool] Perform weighted least-squares fit



[apex.sitedef]

altitude = 1865.42              # [float] [m] Observatory elevation above the reference spheroid (MSL)

latitude = -21.596831           # [float] [deg] Observatory latitude (positive for North) (-90 <= latitude <= 90)

longitude = -64.623631          # [float] [deg] Observatory longitude (positive for East) (-180 <= longitude <= 180)

observatory_code = ""           # [str] IAU observatory code

update_interval = 0             # [int] [day] MPC observatory code database update interval (0 to disable auto-update) (update_interval >= 0)



[apex.util.automation.calibration]

dark_exposure_tol = 0.1         # [float] [s] Exposure duration tolerance for automatic dark frame search (dark_exposure_tol >= 0)

dark_temperature_tol = 0.5      # [float] [K] CCD temperature tolerance for automatic dark frame search (dark_temperature_tol >= 0)

require_dark = 0                # [bool] Terminate processing if no appropriate dark frame found

require_flat = 0                # [bool] Terminate processing if no appropriate flatfield frame found

max_flat_adu = 50000.0          # [float] Maximum allowed median ADU for auto-selection of flats

remove_cosmics = 0              # [bool] Eliminate cosmic ray hits during standard calibration

min_flat_adu = 10000.0          # [float] Minimum allowed median ADU for auto-selection of flats

synthetic_flat = 0              # [bool] Use synthetic flatfield if no appropriate flatfield frame found and require_flat = 0



[apex.util.report.table]

default_format = "#", radec, diff_radec, xy, diff_xy, obs, match, phot_match, diff_phot, psf_phot, aper_phot, opt_phot, profile, roi    # [str list] Default table format (#, radec, xy, diff_radec, diff_xy, obs, roi, profile, match, phot_match, psf_phot, aper_phot, opt_phot, diff_phot)