CASA: Common Astronomy Software Applications
CASA is a radio astronomy software, which applies radio astronomical techniques for the data analysis.
It does operations on the measurement set. A measurement set (MS) contains all the information about the observation.
The information is stroered in the form of the tables. Major tables inside the MS are the following
- https://casaguides.nrao.edu/index.php/Tb
- The tables are named as table.f*. The * is a number.
- table.lock
Further there are folders inside the MS. These folder consists of specific tables and can be seen using browsetable task.
- ANTENNA
- DATA_DESCRPITON
- FIELD
- HISTORY
- POINTING
- PROCESSOR
- SPECTRAL_WINDOW
- SYSCAL
- CALDEVICE
- FEED
- FLAG_CAL
- OBSERVATION
- POLARIZATION
- SOURCE
- STATE
- SYSPOWER
- WEATHER
SUNCASA
SUNCASA is the module for using casa for solar observation. Some of the major utilities are as follows.
- dspec.get_dspec: Make the dynamic spectrum for given baselines and uvrange
- dspec.plt_dspec: Plot the dynamic spectrum
- dspec.wrt_dspec: Write the dynamic spectrum
- ctplot.add_scalebar: add scalarbar to the plot
- ctplot.maxfit: Find the maximum position of an image using 2D Gaussian fit
- ctplot.plot_composite_map: Make composite aia and vla maps
- DButils.img2html_movie:take pngs make a movie
- DButils.spectrogram2wav: Convert spectrogram to audio in WAV format
- DButils.smooth: Smooth the data using a window with requested size
- DButils.img2movie: Make movie/image_slice from images
- DButils.image_fill_gap: fill gaps in image slice using interpolation
- DButils.getspwfromfreq: return spw info for a given range of frequencies
- DButils.ProgressBar: Create terminal progress bar
- DButlis.getcurtimstr: Get time string
- DButils.getlatestfile: Get latest clean file
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SUNPY
SUNPY is the module for analysing for solar observation in python.
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ASTROPY
ASTROPY is the module for astronomical observations.
- Working with large files: put memmap=False.
The open() function supports a memmap=True argument that allows
the array data of each HDU to be accessed with mmap, rather than
being read into memory all at once. This is particularly useful for
working with very large arrays that cannot fit entirely into physical memory.
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