source: trunk/tutorials/tutorial_1.rst

Last change on this file was 1636, checked in by Malte Marquarding, 15 years ago

Added sphinx project for ASAP tutorials

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1========================
2Tutorial #1 - Basic ASAP
3========================
4
5.. sectionauthor:: Kate Brooks
6
7**Main goal:** Get a basic understanding of ASAP commands to import and plot data
8
9Files
10-----
11
12* 2008-03-12_09320-M999.rpf Data file (1.1 Mb)
13
14
15Data Log
16--------
17
18* ON-OFF Position switching mode with Mopra
19
20* 2 Scans (1 OFF and 1 ON)
21
22* 1 MOPS Zoom band
23
24Instructions
25------------
26
271. Work through the list of commands given in the text file to
28   calibrate data taken with the Mopra telescope. Commands
29   should be typed line-by-line into ASAP. Seek help from the
30   tutors if there are any commands you don't understand.
31
32   To start asap simply run the following at your prompt::
33
34            asap
35
362. Write a python script to automate the calibration procedure
37   used in step 1. Your python script should permit interaction
38   with the plotter and should be executed in a terminal (and not
39   within ASAP) with the following command::
40
41          python -i myscript.py
42
43   The python script to be run outside asap needs to have the following line
44   at the top of the file::
45
46          from asap import *
47
48   This will import all asap functionality into the "normal" python.
49
50Commands
51--------
52
53.. code-block:: python
54
55        # Load data file into memory and view description
56        s = scantable('2008-03-12_0932-M999.rpf')
57        print s
58
59        # Set the plotting mode
60        plotter.set_mode(stacking='i', panelling='t')
61
62        # Plot all raw data
63        plotter.plot(s)
64
65        # Set the doppler convention
66        s.set_doppler('RADIO')
67
68        # Set the rest frame
69        s.set_freqframe('LSRK')
70
71        # Set the observed rest frequency in Hz
72        s.set_restfreqs([86243.37e6])
73
74        # Define the channel unit
75        s.set_unit('km/s')
76
77        # Form the quotient spectra
78        q=s.auto_quotient()
79
80        # Average all scans in time, aligning in velocity
81        # Note: That for this dataset there is only 1 scan and so this step is redundant 
82        av = q.average_time(align=True)
83
84        # Average the two polarisations together
85        iav = av.average_pol()
86
87        # Plot the spectrum
88        plotter.plot(iav)
89
90        # Remove the baseline (set to 0 order). Specify the signal-free channels
91        msk = iav.create_mask([-200,-50],[50,180])
92        iav.poly_baseline(msk,0)
93        plotter.plot(iav)
94
95        # Smooth the data with boxcar, full width = 3
96        siav = iav.smooth(kernel = 'boxcar', width = 3, insitu = False)
97        plotter.plot(siav)
98
99        # Scale the data according to scaling fudge factor
100        # Eg. With beam efficiency of 0.49 at 86 GHz
101        iav.scale(2) 
102
103        # Make final plot for saving
104        plotter.set_range(-20,30) 
105        plotter.plot(siav)
106        plotter.set_legend(mode=-1)
107        plotter.set_title(['Orion-SiO'], fontsize=18)
108        plotter.text(10,95,"SiO (2-1 v=1) at 86243.440 MHz", fontsize=12)
109        plotter.text(-19,95,"2008/03/12", fontsize=12)
110        plotter.text(-19,90,"Zoom Mode", fontsize=12)
111
112        # Save plot as postscript file
113        plotter.save('Orion-SiO.ps')
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