bin_size, error_power, do_radial Set the type and degree of weighting for subsequent UV gridding. EXAMPLE ------- 1. To select uniform weighting and to scale the uniform weighting grid weights by the errors implied by the data raised to the power -1, type: 0>uvweight 2,-1 Uniform weighting binwidth: 2 (pixels). Gridding weights will be scaled by errors raised to the power -1. Radial weighting is not currently selected. 0> The first line illustrates a typical use of the command, and the following three lines are the response by the 'uvweight' function, confirming the choices made. 2. To see the current choice of weighting, omit all arguments: 0>uvweight Uniform weighting binwidth: 2 (pixels). Gridding weights will be scaled by errors raised to the power -1. Radial weighting is not currently selected. 0> PARAMETERS ---------- bin_size - If this is > 0 then it selects uniform weighting. The value sets the bin size in UV-grid pixels within which to count neighboring visibilities. The reciprocal of these counts are then used to weight the visibilities by the local number density. A value of 2 is recommended. Non-integral values are legal but fractional values below 1 are not. error_pow - If < 0 then this selects additional weighting by amplitude errors. The value selects the exponent to raise the error to. Statistically this should be -2, but -1 is recommended. Make sure that the relative errors between baselines are meaningful before using this option or you may end up with some baselines making no contribution to the final map! do_radial - If true then the weight given to each visibility will be divided by its UV radius. Only recommended when one's UV coverage is approximately circular. CONTEXT ------- This command sets the weights given to individual visibilities as they are gridded, prior to Fourier inversion into the image plane. The choices made remain in effect until this function is called again. When a new data set is read with the 'observe' command, the defaults are reset to apply uniform weighting with a bin-width of 2 and no other form of weighting. Unless the commands mentioned in the last section are of interest, you would typically follow this command by invoking the 'invert' command. (See help on 'invert' for details). SIDE EFFECTS ------------ Use of this command will cause the next 'clean', 'mapplot' etc.. to re-invert the modified UV data-set to produce an updated dirty beam and residual map. RELATED COMMANDS ---------------- uvtaper - Apply a gaussian taper to the weights. uvrange - Constrain the min and max UV radii within which visibilities are gridded. uvzero - Set a zero-UV-spacing flux.