Ecient few-body calculations in nite volume S K onig

2025-08-18 0 0 511.12KB 9 页 10玖币
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Efficient few-body calculations in finite volume
S K¨onig
Department of Physics, North Carolina State University, Raleigh, NC 27695, USA
E-mail: skoenig@ncsu.edu
Abstract. Simulating quantum systems in a finite volume is a powerful theoretical tool to
extract information about them. Real-world properties of the system are encoded in how
its discrete energy levels change with the size of the volume. This approach is relevant not
only for nuclear physics, where lattice methods for few- and many-nucleon states complement
phenomenological shell-model descriptions and ab initio calculations of atomic nuclei based
on harmonic oscillator expansions, but also for other fields such as simulations of cold atomic
systems. This contribution presents recent progress concerning finite-volume simulations of few-
body systems. In particular, it discusses details regarding the efficient numerical implementation
of separable interactions and it presents eigenvector continuation as a method for performing
robust and efficient volume extrapolations.
1. Introduction
Simulating quantum systems in finite volume (FV), such as a cubic box with periodic boundary
conditions, is a well established theoretical approach to extract information about them, going
back to the early work of L¨uscher [1, 2, 3] who showed that the real-world (i.e., infinite-volume)
properties a the system are encoded in how its (discrete) energy levels change as the size of
the volume is varied. The method has become a standard approach for example in Lattice
Quantum Chromodynamics (LQCD) to extract scattering information for hadronic systems,
and extending it in different directions, in particular to three-body systems, is an area of active
research [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]. Moreover, few-body approaches
formulated in FV can be used to match and extrapolate LQCD results to an effective field theory
(EFT) description [21, 22, 23, 24].
Bound-state energy levels have an exponential dependence on the size Lof the periodic box
that encodes asymptotic properties of the state’s wavefunction in infinite volume [1, 25, 26]. For
a general bound state of N2 particles with lowest breakup channel into two clusters with A
and NAparticles, respectively, the volume dependence of the binding energy has been found
to be [27, 28]
BN(L)BN(L)BN() = (1)`+1q2
πf(d)|γ|2
µA|NA
κ2d/2
A|NAL1d/2Kd/21(κA|NAL),(1)
where ddenotes the number spatial dimensions, f(d) is a normalization factor, Kd/21is a
modified Bessel function, and
κA|NA=q2µA|NA(BNBABNA) (2)
arXiv:2211.00395v1 [nucl-th] 1 Nov 2022
with the reduced mass µA|NAof the two-cluster system. Moreover, γis the asymptotic
normalization coefficient of the cluster wavefunction, a quantity that plays an important role for
the description of low-energy capture processes. Equation (1) implies that both γand κA|NA
can be extracted by fitting the volume dependence of numerical simulations. In that regard it
should be noted that most systems in nuclear physics of practical interest feature more than
one proton, and therefore Eq. (1) does not directly apply because it assumes pure short-range
interactions between all particles. Work that derives the volume dependence for charged-particle
bound states, i.e., including the long-range Coulomb interaction, is nearly concluded at the time
this contribution is being written [29]. The following sections discuss recent progress regarding
the efficient numerical implementation of few-body systems in finite volume. The material is
based primarily on Refs. [30, 31], but includes additional details in particular in Sec. 2.1.
2. Discrete Variable Representation
Few-body calculations in periodic finite boxes can be implemented elegantly with a “discrete
variable representation (DVR)” based on plane-wave states. This method has been used and
described in Refs. [32, 28, 30, 31]. The following discussion elaborates on the use of separable
interactions within this framework, first introduced in Ref. [30], with focus here on an efficient
numerical implementation. To that end, we keep the general introduction of the method brief
(referring the reader to the papers cited above), but provide previously unpublished details
regarding the computation.
The DVR construction starts from plane-wave states defined on an interval L,
φ(L)
j(x) = 1
Lexp i2πj
Lx,(3)
with j=N/2,···N/21 for even number of modes N > 2 and where xdenotes the relative
coordinate describing a two-body (n= 2) system in one dimension (d= 1). Given a set of
equidistant points xk[L/2, L/2) and weights wk=L/n (independent of k), DVR states are
constructed as [33]
ψk(x) =
N/21
X
j=N/2U
kj φj(x),(4)
with Uki =wkφi(xk) defining a unitary matrix. The index kin Eq. (4) covers the same range of
integers as the jlabeling the original plane-wave modes, and ψk(x) is a wavefunctions peaked at
xk. Effectively, the plane-wave DVR can be thought of as a lattice discretization that maintains
the exact continuum energy-momentum dispersion relation.
Let now B(n,d)
N={|si} denote a basis of DVR states for Aparticles in dspatial dimensions,
with truncation parameter N. In the following, the superscript (n, d) is dropped to simplify the
notation. A basis state |sican then be written as
|si=|(k1,1,··k1,d),··,(kn1,1,··kn1,d); (σ1,··σn)i,(5)
where the σilabel optional spin degrees of freedom. The formalism can be extended in a
straightforward way to include additional discrete degrees of freedom such as isospin. In
coordinate-space representation, where we use xto collectively denote all relative coordinates,
the spatial part of a DVR state |siis a tensor product of one-dimensional DVR wavefunctions:
ψs(x) = hx|si=Y
i=1,··n1
c=1,··d
ψki,c (xi,c).(6)
摘要:

Ecientfew-bodycalculationsin nitevolumeSKonigDepartmentofPhysics,NorthCarolinaStateUniversity,Raleigh,NC27695,USAE-mail:skoenig@ncsu.eduAbstract.Simulatingquantumsystemsina nitevolumeisapowerfultheoreticaltooltoextractinformationaboutthem.Real-worldpropertiesofthesystemareencodedinhowitsdiscreteen...

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