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1##################### generated by xml-casa (v2) from feather.xml ################### 

2##################### 4522695859f175b9c2dc5bdc50749847 ############################## 

3from __future__ import absolute_import 

4import numpy 

5from casatools.typecheck import CasaValidator as _val_ctor 

6_pc = _val_ctor( ) 

7from casatools.coercetype import coerce as _coerce 

8from casatools.errors import create_error_string 

9from .private.task_feather import feather as _feather_t 

10from casatasks.private.task_logging import start_log as _start_log 

11from casatasks.private.task_logging import end_log as _end_log 

12from casatasks.private.task_logging import except_log as _except_log 

13 

14class _feather: 

15 """ 

16 feather ---- Combine two images using their Fourier transforms 

17 

18  

19 This task can be used as one method of combining single-dish and 

20 interferometric images after they have been separately made. 

21  

22 The algorithm converts each image to the gridded visibility plane, 

23 combines them, and reconverts them into an combined image. Each image 

24 must include a well-defined beam shape (clean beam) in order for 

25 feathering to work well. The two images must have the same flux 

26 density normalization scale. 

27 

28 --------- parameter descriptions --------------------------------------------- 

29 

30 imagename Name of output feathered image 

31 Default: none 

32  

33 Example: imagename='orion_combined.im' 

34 highres Name of high resolution (interferometer) image 

35 Default: none 

36  

37 Example: imagename='orion_vla.im' 

38 lowres Name of low resolution (single dish) image 

39 Default: none 

40  

41 Example: imagename='orion_gbt.im' 

42 sdfactor Value by which to scale the Single Dish image. 

43 Default: 1.0 

44  

45 Basically modifying the flux scale of the SD image 

46 effdishdiam New effective SingleDish diameter to use in m  

47 Default: -1.0 (leave as is) 

48  

49 Obviously one can only reduce the dish 

50 effective dish diameter in feathering. 

51 lowpassfiltersd Filter out the high spatial frequencies of the SD image 

52 Default: False 

53  

54 If True the high spatial frequency in the SD 

55 image is rejected. 

56  

57 Any data outside the maximum uv distance 

58 that the SD has illuminated is filtered 

59 out. 

60 

61 --------- examples ----------------------------------------------------------- 

62 

63  

64  

65 For more information, see the task pages of feather in CASA Docs: 

66  

67 https://casa.nrao.edu/casadocs/ 

68 

69 

70 """ 

71 

72 _info_group_ = """imaging""" 

73 _info_desc_ = """Combine two images using their Fourier transforms""" 

74 

75 def __call__( self, imagename='', highres='', lowres='', sdfactor=float(1.0), effdishdiam=float(-1.0), lowpassfiltersd=False ): 

76 schema = {'imagename': {'type': 'cStr', 'coerce': _coerce.to_str}, 'highres': {'type': 'cReqPath', 'coerce': _coerce.expand_path}, 'lowres': {'type': 'cReqPath', 'coerce': _coerce.expand_path}, 'sdfactor': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'effdishdiam': {'type': 'cFloat', 'coerce': _coerce.to_float}, 'lowpassfiltersd': {'type': 'cBool'}} 

77 doc = {'imagename': imagename, 'highres': highres, 'lowres': lowres, 'sdfactor': sdfactor, 'effdishdiam': effdishdiam, 'lowpassfiltersd': lowpassfiltersd} 

78 assert _pc.validate(doc,schema), create_error_string(_pc.errors) 

79 _logging_state_ = _start_log( 'feather', [ 'imagename=' + repr(_pc.document['imagename']), 'highres=' + repr(_pc.document['highres']), 'lowres=' + repr(_pc.document['lowres']), 'sdfactor=' + repr(_pc.document['sdfactor']), 'effdishdiam=' + repr(_pc.document['effdishdiam']), 'lowpassfiltersd=' + repr(_pc.document['lowpassfiltersd']) ] ) 

80 task_result = None 

81 try: 

82 task_result = _feather_t( _pc.document['imagename'], _pc.document['highres'], _pc.document['lowres'], _pc.document['sdfactor'], _pc.document['effdishdiam'], _pc.document['lowpassfiltersd'] ) 

83 except Exception as exc: 

84 _except_log('feather', exc) 

85 raise 

86 finally: 

87 task_result = _end_log( _logging_state_, 'feather', task_result ) 

88 return task_result 

89 

90feather = _feather( ) 

91