plotweather

plotweather(vis, seasonal_weight=0.5, doPlot=True, plotName='')

Plot elements of the weather table; estimate opacity

[Description] [Examples] [Development] [Details]

Parameters

• vis (path) - MS name

• seasonal_weight (double=0.5) - weight of the seasonal model

• doPlot (bool=True) - set this to True to create a plot

• plotName (string=’’) - (Optional) the name of the plot file

Returns

tau (list[float]) - opacity per SPW, as a mean of the estimates based on weather data and a seasonal model

Description

This task is intended for VLA use only. Plots elements of the weather table; estimates opacity.

Generates opacity estimates from both the weather data and a seasonal model. By default the returned opacity is the mean of these predictions, but this can be adjusted with seasonal_weight. Please note that the opacity determined in this manner is only a rough estimate which could propagate to an error when bootstrapping the flux density.

These methods and models are described in detail in EVLA Memo 143 , VLA Test Memo 232 , VLA Scientific Memo 176 , and references therein.

Saves the plot to the following default file: MS name + .plotweather.png. Custom plot filenames must end in one of: .png, .pdf, .ps, .eps or .svg

If run as a function, will return the mean zenith opacity per spectral window.

The wind direction is defined as the direction where the wind is coming from (the arrow points into the wind), with north at the top and counterclockwise through west, south, and east.

Examples

To generate and plot opacity estimates, using the mean between predictions based on the weather data and seasonal model:

myTau = plotweather(vis='myMS.ms', seasonal_weight=0.5, doPlot=True)

Development

No additional development details

Parameter Details

Detailed descriptions of each function parameter

vis (path) - MS name

seasonal_weight (double=0.5) - weight of the seasonal model

doPlot (bool=True) - set this to True to create a plot

plotName (string='') - (Optional) the name of the plot file