Python AstroData.detector_x_bin方法代码示例

# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import detector_x_bin [as 别名]
class AcquisitionImage(object):
    def __init__(self, filename, mosmask=None, mdfdir=None):
        self.ad = AstroData(filename)
        self.mosmask = mosmask
        self.mdfdir = mdfdir

        # Determine extension
        nsci = len(self.ad)
        debug("...nsci = ", nsci)
            
        if nsci > 1:
            l_sci_ext = 1 
        else:
            l_sci_ext = 0

        debug("...using extension [" + str(l_sci_ext) + "]")

        overscan_dv = self.ad[l_sci_ext].overscan_section()

        if self.is_mos_mode():
            self.box_coords = parse_box_coords(self, self.get_mdf_filename())
            self.box_mosaic = BoxMosaic(self, self.box_coords)
            self.scidata = self.box_mosaic.get_science_data()
        elif self.is_new_gmosn_ccd():
            # tile the 2 center parts of the new GMOS image
            self.scidata = gmultiamp(self.ad)
        elif not overscan_dv.is_none():
            # remove the overscan so we don't have to take it into account when guessing the slit location
            self.scidata = subtract_overscan(self.ad[l_sci_ext])

            # it still affects the center of rotation however
            ox1, ox2, oy1, oy2 = overscan_dv.as_list()
            correction = np.array([ox2 - ox1, 0])
            center = self.get_binned_data_center() - correction
            self.fieldcenter = center * self.detector_y_bin()
        else:
            self.scidata = self.ad[l_sci_ext].data

    @cache
    def instrument(self):
        return str(self.ad.instrument())

    def is_new_gmosn_ccd(self):
        header = self.ad.phu.header
        if "DETECTOR" not in header:
            return False
        
        if header["DETECTOR"] == "GMOS + e2v DD CCD42-90":
            return True
        return False

    def get_science_data(self):
        assert self.scidata is not None
        return self.scidata

    @cache
    def unbinned_pixel_scale(self):
        return float(self.ad.pixel_scale()) / self.detector_y_bin()

    @cache
    def binned_pixel_scale(self):
        return float(self.ad.pixel_scale())

    def _check_binning(self):
        if int(self.ad.detector_x_bin()) != int(self.ad.detector_y_bin()):
            error("ERROR: incorrect binning!")
            error("Sorry about that, better luck next time.")
            sys.exit(1)

    @cache
    def detector_x_bin(self):
        self._check_binning()
        return int(self.ad.detector_x_bin())

    @cache
    def detector_y_bin(self):
        self._check_binning()
        return int(self.ad.detector_y_bin())

    @cache
    def program_id(self):
        return str(self.ad.program_id())

    @cache
    def observation_id(self):
        return str(self.ad.observation_id())

    @cache
    def saturation_level(self):
        dv = self.ad.saturation_level()
        return min(dv.as_list())

    @cache
    def focal_plane_mask(self):
        return str(self.ad.focal_plane_mask())

    @cache
    def grating(self):
        return str(self.ad.grating())

#.........这里部分代码省略.........

# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import detector_x_bin [as 别名]
import sys
sys.path.append("/opt/gemini_python")
from astrodata import AstroData
import urllib2, urllib

# This is a GMOS_N imaging science dataset
ad = AstroData("/home/callen/SVN-AD/gemini_python/test_data/calsearch/N20110531S0114.fits")

desc_dict = {'instrument':ad.instrument().for_db(),
             'observation_type': ad.observation_type().for_db(),
             'data_label':ad.data_label().for_db(),
             'detector_x_bin':ad.detector_x_bin().for_db(),
             'detector_y_bin':ad.detector_y_bin().for_db(),
             'read_speed_setting':ad.read_speed_setting().for_db(),
             'gain_setting':ad.gain_setting().for_db(),
             'amp_read_area':ad.amp_read_area().for_db(),
             'ut_datetime':ad.ut_datetime().for_db(),
             'exposure_time':ad.exposure_time().for_db(),
             'object': ad.object().for_db(),
             'filter_name':ad.filter_name().for_db(),
             'focal_plane_mask':ad.focal_plane_mask().for_db(),
             }

print repr(desc_dict)
type_list = ad.types
ad.close()

sequence = [('descriptors', desc_dict), ('types', type_list)]
postdata = urllib.urlencode(sequence)

#postdata = urllib.urlencode({"hello":1.})

# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import detector_x_bin [as 别名]
from astrodata import AstroData

ad = AstroData("../../../test_data/recipedata/N20091027S0141.fits")

# this is a developer script, the way it works is you can set a small bank of variables
# to various descriptor return values (ones that return DescriptorValues!)
# and a series of automated printouts can help you inspect the value and probe its
# behavior

ad.descriptorFormat = "as_dict"
g = ad.detector_x_bin()
h = ad.detector_x_bin()
i = ad.detector_x_bin()
j = ad.detector_x_bin(format="as_dict")
dvsnames = ["g","h","i","j"]

dvs = []
for dvname in dvsnames:
    dv = eval(dvname)
    dv.myname = dvname
    dvs.append(dv)   

for dv in dvs:
    print 'dv "%s" (%s)' % ( dv.myname,dv.name)
    print dv.info()
    
import math

print "using DescriptorValue as a float"
a = math.sin(h)
print "math.sin(h) =",a

# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import detector_x_bin [as 别名]
import sys, os
from astrodata import AstroData
from astrodata import Errors
import re

ad = AstroData("../../../test_data/recipedata/N20090703S0163.fits")

ybin = ad.detector_y_bin()
xbin = ad.detector_x_bin()
disp = ad.disperser()

descripts = ["airmass", "amp_read_area", "azimuth", "camera", "cass_rotator_pa",
 "central_wavelength", "coadds", "data_label", "data_section", "dec", "decker",
 "detector_section", "detector_x_bin", "detector_y_bin", "disperser",
 "dispersion", "dispersion_axis", "elevation", "exposure_time", "filter_name",
 "focal_plane_mask", "gain", "gain_setting", "grating", "instrument",
 "local_time", "mdf_row_id", "nod_count", "nod_pixels", "non_linear_level",
 "object", "observation_class", "observation_epoch", "observation_id",
 "observation_type", "pixel_scale", "prism", "program_id", "pupil_mask",
 "qa_state", "ra", "raw_bg", "raw_cc", "raw_iq", "raw_wv", "read_mode",
 "read_noise", "read_speed_setting", "saturation_level", "slit", "telescope",
 "ut_date", "ut_datetime", "ut_time", "wavefront_sensor",
 "wavelength_reference_pixel", "well_depth_setting", "x_offset", "y_offset"]

descripts = ["detector_x_bin","exposure_time", "raw_cc"]      
if True:
    
    ops = ["+","-","*","/","//", "%", "**", "<<",">>", "^", "<", "<=", ">",">=","==",]
    #ops = ["<", "<=", ">",">=","==",]
    exprs = []
    operands = ["'hello'", 10., 10]