| 1 | #!/usr/bin/env python
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| 2 | import os
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| 3 | from asap import *
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| 4 | from nose.tools import assert_almost_equals
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| 5 | rcParams['verbose'] = 0
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| 6 | rcParams['plotter.gui'] = 0
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| 7 |
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| 8 |
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| 9 | DATA=os.path.join(os.path.split(__file__)[0], "..", "data",
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| 10 | "mopra_dualif.rpf")
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| 11 |
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| 12 |
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| 13 | class TestMopra(object):
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| 14 | def setup(self):
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| 15 | self.st = scantable(DATA)
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| 16 |
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| 17 | def _plotfit(self, scan, ifno):
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| 18 | scan.set_selection(ifs=ifno)
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| 19 | f = fitter()
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| 20 | f.set_scan(scan)
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| 21 | f.set_function(gauss=ifno+1) # fit gaussian(s)
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| 22 | f.fit()
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| 23 | f.plot(filename='output/moprafit_if%d.png' % ifno)
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| 24 | fp = f.get_parameters()
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| 25 | assert True
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| 26 |
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| 27 | def test_reduction(self):
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| 28 | restfreqs = [110.201, 86.243] # 13CO-1/0, SiO the two IF
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| 29 | self.st.set_restfreqs(restfreqs,"GHz")
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| 30 | q = self.st.auto_quotient()
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| 31 | q.set_unit("km/s") # set the unit to be used from now on
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| 32 | q.set_freqframe("LSRK") # set frequency frame
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| 33 | q.auto_poly_baseline(insitu=True) # determine and subtract a poly
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| 34 | # baseline automatically
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| 35 | q.convert_flux() # K -> Jy
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| 36 | msk = q.create_mask([-70,20], [20,70]) # line free region - two windows
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| 37 | rms = q.stats("rms", msk)
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| 38 | med = q.stats("median", msk)
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| 39 | regrms = [35.801266, 38.808666]
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| 40 | regmed = [1.197934, 2.593803]
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| 41 | for i in range(len(rms)):
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| 42 | assert_almost_equals(rms[i], regrms[i], 6)
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| 43 | assert_almost_equals(med[i], regmed[i], 6)
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| 44 |
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| 45 | for ifno in q.getifnos():
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| 46 | self._plotfit(q, ifno)
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