- Timestamp:
- 09/09/10 18:53:37 (14 years ago)
- Location:
- trunk/python
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/python/asapmath.py
r1918 r1920 159 159 Calibrate GBT position switched data 160 160 Adopted from GBTIDL getps 161 Currently calps identify the scans as position switched data if they162 contain '_ps' in the source name. The data must contains 'CAL' signal163 on/off in each integration. To identify 'CAL' on state, the word, 'calon'164 need to be present in the source name field.161 Currently calps identify the scans as position switched data if source 162 type enum is pson or psoff. The data must contains 'CAL' signal 163 on/off in each integration. To identify 'CAL' on state, the source type 164 enum of poncal and poffcal need to be present in the source name field. 165 165 (GBT MS data reading process to scantable automatically append these 166 166 id names to the source names) … … 176 176 tcalval: optional user specified Tcal (default is 0.0, 177 177 use Tcal value in the data) 178 verify: Verify calibration if true 178 179 """ 179 180 varlist = vars() … … 409 410 tauval: optional user specified tau value (not implemented yet) 410 411 tcalval: optional user specified Tcal value 412 verify: Verify calibration if true 411 413 """ 412 414 varlist = vars() … … 619 621 Calibrate GBT frequency switched data. 620 622 Adopted from GBTIDL getfs. 621 Currently calfs identify the scans as frequency switched data if they622 contain '_fs' in the source name. The data must contains 'CAL' signal623 on/off in each integration. To identify 'CAL' on state, the word, 'calon'624 need to be present in the source name field.623 Currently calfs identify the scans as frequency switched data if source 624 type enum is fson and fsoff. The data must contains 'CAL' signal 625 on/off in each integration. To identify 'CAL' on state, the source type 626 enum of foncal and foffcal need to be present in the source name field. 625 627 (GBT MS data reading via scantable automatically append these 626 628 id names to the source names) … … 634 636 use Tsys in the data) 635 637 tauval: optional user specified Tau 638 verify: Verify calibration if true 636 639 """ 637 640 varlist = vars() -
trunk/python/opacity.py
r1859 r1920 147 147 is corrupted (Mopra). If set to 'False', an opacity value 148 148 per polarisation is returned. 149 t ksy: The sky temperature (default 300.0K). This might149 tsky: The sky temperature (default 300.0K). This might 150 150 be read from the data in the future. 151 151 plot: Plot each fit (airmass vs. Tsys). Default is 'False' -
trunk/python/scantable.py
r1919 r1920 110 110 the MS data faster in some cases. 111 111 112 antenna: Antenna selection. integer (id) or string (name or id). 112 antenna: for MeasurementSet input data only: 113 Antenna selection. integer (id) or string (name or id). 113 114 114 115 parallactify: Indicate that the data had been parallatified. Default -
trunk/python/utils.py
r1860 r1920 61 61 if not os.path.isdir(path): 62 62 return None 63 valid = " rpf rpf.1 rpf.2 sdf sdfits mbf asap".split()63 valid = "ms rpf rpf.1 rpf.2 sdf sdfits mbf asap".split() 64 64 if not suffix in valid: 65 65 return None
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