Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session G70: Poster Session I (2:00pm-5:00pm)
2:00 PM,
Tuesday, March 5, 2019
BCEC
Room: Exhibit Hall
Abstract: G70.00293 : Numeric Analytic Continuation via Rational Function Regression (Padé Regression)
Presenter:
Jian Wang
(physics and astronomy, UCLA)
Authors:
Jian Wang
(physics and astronomy, UCLA)
Sudip Chakravarty
(physics and astronomy, UCLA)
Collaboration:
Jian Wang
It is based on the Padé approximation, and uses linear regression and bootstrapping statistics to get rid of extreme unstable results, and estimate the error. Unlike maximum entropy method, no prior information is needed here.
Test cases have shown that various spectrum is recovered for relative error as large as 0.1%
Physical reasonings are also explained for its success.
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