Determination of the collective Hamiltonian in a self-consistent theory of large amplitude adiabatic motion

1987 ◽  
Vol 36 (6) ◽  
pp. 2661-2671 ◽  
Author(s):  
G. Do Dang ◽  
Aurel Bulgac ◽  
Abraham Klein
Keyword(s):  
Large Amplitude ◽  
Consistent Theory ◽  
Self Consistent ◽  
Collective Hamiltonian ◽  
Adiabatic Motion

MICROSCOPIC APPROACH TO ADIABATIC LARGE-AMPLITUDE QUADRUPOLE COLLECTIVE DYNAMICS IN Se ISOTOPES

2010 ◽  
Vol 25 (21n23) ◽  
pp. 1796-1799 ◽  
Author(s):  
NOBUO HINOHARA ◽  
KOICHI SATO ◽  
TAKASHI NAKATSUKASA ◽  
MASAYUKI MATSUO
Keyword(s):  
Large Amplitude ◽  
Shape Coexistence ◽  
Microscopic Approach ◽  
Microscopic Method ◽  
Coordinate Method ◽  
Prolate Shape ◽  
Anharmonic Vibrations ◽  
Self Consistent ◽  
Collective Coordinate ◽  
Collective Hamiltonian

We develop an efficient microscopic method of deriving the five-dimensional quadrupole collective Hamiltonian on the basis of the adiabatic self-consistent collective coordinate method. We illustrate its usefulness by applying it to the oblate-prolate shape coexistence/mixing phenomena and anharmonic vibrations in Se isotopes.

Self-consistent theory of large amplitude collective motion at finite excitation energy

1999 ◽  
Vol 59 (4) ◽  
pp. 2065-2081 ◽  
Author(s):  
G. Do Dang ◽  
Abraham Klein ◽  
P.-G. Reinhard
Keyword(s):  
Excitation Energy ◽  
Large Amplitude ◽  
Collective Motion ◽  
Consistent Theory ◽  
Self Consistent

scholarly journals Rare transition event with self-consistent theory of large-amplitude collective motion

2015 ◽  
Vol 357 ◽  
pp. 79-94
Author(s):  
Kyosuke Tsumura ◽  
Yoshitaka Maeda ◽  
Hiroyuki Watanabe
Keyword(s):  
Large Amplitude ◽  
Collective Motion ◽  
Consistent Theory ◽  
Self Consistent ◽  
Transition Event

Information and estimation in image processing

1987 ◽  
Vol 45 ◽  
pp. 14-17
Author(s):  
B. Roy Frieden
Keyword(s):  
Image Processing ◽  
Optical System ◽  
Large Amplitude ◽  
Communication Theory ◽  
Image Data ◽  
Direct Approach ◽  
Ill Posed

Despite the skill and determination of electro-optical system designers, the images acquired using their best designs often suffer from blur and noise. The aim of an “image enhancer” such as myself is to improve these poor images, usually by digital means, such that they better resemble the true, “optical object,” input to the system. This problem is notoriously “ill-posed,” i.e. any direct approach at inversion of the image data suffers strongly from the presence of even a small amount of noise in the data. In fact, the fluctuations engendered in neighboring output values tend to be strongly negative-correlated, so that the output spatially oscillates up and down, with large amplitude, about the true object. What can be done about this situation? As we shall see, various concepts taken from statistical communication theory have proven to be of real use in attacking this problem. We offer below a brief summary of these concepts.

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