 'marmv.rsf';    % reference model
v0file   = 'marmv0.rsf';   % initial model
datafile = 'marmdata.rsf'; % input data

% modeling parameters
nb       = 50;
zsrc     = 10;
zrec     = 10;
f0       = 0;
t0       = 0;

% parameters for generating outliers in the data 
p        = .2;   % percentage of data to contaminate
a        = 1e6;  % amplitude of noise
seed     = 1;    % random see

% function handles to misfits used for residual and source estimation
fh1      = @(x)students(x);
fh2      = @(x)twonorms(x);