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学術論文

Least-square approach for singular value decompositions of scattering problems

MPS-Authors
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Tichai,  A.
Division Prof. Dr. Klaus Blaum, MPI for Nuclear Physics, Max Planck Society;

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Hebeler,  K.
Division Prof. Dr. Klaus Blaum, MPI for Nuclear Physics, Max Planck Society;

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Schwenk,  A.
Division Prof. Dr. Klaus Blaum, MPI for Nuclear Physics, Max Planck Society;

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2205.10087.pdf
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引用

Tichai, A., Arthuis, P., Hebeler, K., Heinz, M., Hoppe, J., Schwenk, A., & Zurek, L. (2022). Least-square approach for singular value decompositions of scattering problems. Physical Review C, 106(2):. doi:10.1103/PhysRevC.106.024320.


引用: https://hdl.handle.net/21.11116/0000-000C-049B-1
要旨
It was recently observed that chiral two-body interactions can be efficiently
represented using matrix factorization techniques such as the singular value
decomposition. However, the exploitation of these low-rank structures in a few-
or many-body framework is nontrivial and requires reformulations that
explicitly utilize the decomposition format. In this work, we present a general
least-square approach that is applicable to different few- and many-body
frameworks and allows for an efficient reduction to a low number of singular
values in the least-square iteration. We verify the feasibility of the
least-square approach by solving the Lippmann-Schwinger equation in factorized
form. The resulting low-rank approximations of the $T$ matrix are found to
fully capture scattering observables. Potential applications of the
least-square approach to other frameworks with the goal of employing tensor
factorization techniques are discussed.