[daip] [!4836]: aips - What does 'L1R' do in CALIB
Eric Greisen
do-not-reply at nrao.edu
Thu Apr 24 18:48:06 EDT 2014
Eric Greisen updated #4836
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Staff (Owner): Eric Greisen (was: -- Unassigned --)
Status: Closed (was: Open)
Due: - Cleared - (was: 28 April 2014 08:44 PM)
What does 'L1R' do in CALIB
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Ticket ID: 4836
URL: https://help.nrao.edu/staff/index.php?/Tickets/Ticket/View/4836
Full Name: Chris De Pree
Email: cdepree at agnesscott.edu
Creator: User
Department: AIPS Data Processing
Staff (Owner): Eric Greisen
Type: Issue
Status: Closed
Priority: Default
Template Group: Default
Created: 24 April 2014 08:44 PM
Updated: 24 April 2014 10:48 PM
The R part is easy for me to describe since I added that.
Basically it does the solution over a number of times, each
time ignoring data more than X times the RMS away from the
solution. The value of X decreases as the solution iteration
proceeds. This is called a "robust" estimator and is used now
all over aips (to find image RMS and the like).
The L1 part I am less certain of - I think it means that the inner
part minimizes the mean deviation from the solution rather than
the mean square deviation. Therefore, extreme points only count
linearly rather than quadratically and so have less influence on
the answer. As Fred points out, this has some statistical issues
(I will bet the mean error is not symmetric about 0), but is likely
to find convergent solutions when standard methods may not.
Eric Greisen
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