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ML used in phenix.refine does not contain a constant term (to save
computation time; perhaps there is no huge gain!) and is normalized
by the number of reflections so the value is between 0 and ~10 most
of the time (that makes it predictable and so it can be calibrated
to use for various purposes).<br>
<br>
Pavel<br>
<br>
<div class="moz-cite-prefix">On 7/11/14, 5:07 PM, Nathaniel Echols
wrote:<br>
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cite="mid:CALeAa1NiFr-CabU1d_H3UipZNjy+Fo5cBw6MUtDaGLG1v4gYcA@mail.gmail.com"
type="cite">
<div dir="ltr">On Fri, Jul 11, 2014 at 4:57 PM, Pavel Afonine <span
dir="ltr"><<a moz-do-not-send="true"
href="mailto:pafonine@lbl.gov" target="_blank">pafonine@lbl.gov</a>></span>
wrote:<br>
<div class="gmail_extra">
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0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
<div bgcolor="#FFFFFF" text="#000000">1) ML targets used
in phenix.refine and Phaser are essentially the same but
parametrized differently (alpha/beta vs sigmaA).<br>
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<div><br>
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<div>... but they are not reported the same way -
phenix.refine shows a raw target value (normalized?),
while Phaser outputs TFZ and LLG. Presumably these are
related somehow but it is not obvious to me.</div>
<div><br>
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<div>-Nat</div>
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