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Quantum Monte Carlo approaches to nuclear and atomic physics

Nuclear Theory · Submitted 24 Oct 2012

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim There are close analogies between these seemingly diverse systems, including the equation of state, superfluid pairing, and linear response to external probes.

how it is stated · asserted 1.00 read the record →

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arXiv ID1210.6659 (version 1)
Pith IDJG4O4R3E, Pith's permanent record of this paper and its review
CitationAlexandros Gezerlis, J. Carlson, Stefano Gandolfi. "Quantum Monte Carlo approaches to nuclear and atomic physics." arXiv:1210.6659 (2012). https://pith.science/paper/JG4O4R3E
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,627 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.06 · human participants 0.01 · controlled comparison 0.12 · randomized assignment 0.01 · states quantitative result 0.10 · compares with prior results 0.79 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Quantum Monte Carlo methods have proven to be valuable in the study of strongly correlated quantum systems, particularly nuclear physics and cold atomic gases. Historically, such ab initio simulations have been used to study properties of light nuclei, including spectra and form factors, low-energy scattering, and high-momentum properties including inclusive scattering and one- and two-body momentum distributions. More recently they have been used to study the properties of homogeneous and inhomogeneous neutron matter and cold atomic gases. There are close analogies between these seemingly diverse systems, including the equation of state, superfluid pairing, and linear response to external probes. In this paper, we compare and contrast results found in nuclear and cold atom physics. We show updated lattice results for the energy of the homogeneous unitary Fermi gas and comparisons with neutron matter, as well as for the dependence of the cold atom energy on the mass ratio between paired particles, which yields insights on the structure of the ground state. We also provide new lattice and continuum results for the harmonically trapped unitary gas, again comparing neutron matter and cold atoms.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Quantum Monte Carlo methods have proven to be valuable in the study of strongly correlated quantum systems, particularly nuclear physics and cold atomic gases. background 1.00 0.06 0.04 asserted 1.00
s1 Historically, such ab initio simulations have been used to study properties of light nuclei, including spectra and form factors, low-energy scattering, and high-momentum properties including inclusive scattering and one- and two-body momentum distributions. background 1.00 0.08 0.02 asserted 1.00
s2 More recently they have been used to study the properties of homogeneous and inhomogeneous neutron matter and cold atomic gases. background 0.99 0.18 0.03 asserted 1.00
s3 There are close analogies between these seemingly diverse systems, including the equation of state, superfluid pairing, and linear response to external probes. background 0.98 0.07 0.06 asserted 1.00
s4 In this paper, we compare and contrast results found in nuclear and cold atom physics. contribution 1.00 0.63 0.07 asserted 0.89
s5 We show updated lattice results for the energy of the homogeneous unitary Fermi gas and comparisons with neutron matter, as well as for the dependence of the cold atom energy on the mass ratio between paired particles, which yields insights on the structure of the ground state. contribution 0.52 0.94 0.28 asserted 1.00
s6 We also provide new lattice and continuum results for the harmonically trapped unitary gas, again comparing neutron matter and cold atoms. contribution 0.94 0.95 0.10 asserted 1.00

What kind of paper the classifier reports this is: simulation study 0.99 · evidence from simulation or computation 1.00.

What was examined, and what was not

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  • references and citing sentences
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Quantum Monte Carlo methods have proven to be valuable in the study of strongly correlated quantum systems, particularly nuclear physics and cold atomic gases. Historically, such ab initio simulations have been used to study properties of light nuclei, including spectra and form factors, low-energy scattering, and high-momentum properties including inclusive scattering and one- and two-body momentum distributions. More recently they have been used to study the properties of homogeneous and inhomogeneous neutron matter and cold atomic gases. There are close analogies between these seemingly diverse systems, including the equation of state, superfluid pairing, and linear response to external probes. In this paper, we compare and contrast results found in nuclear and cold atom physics. We show updated lattice results for the energy of the homogeneous unitary Fermi gas and comparisons with neutron matter, as well as for the dependence of the cold atom energy on the mass ratio between paired particles, which yields insights on the structure of the ground state. We also provide new lattice and continuum results for the harmonically trapped unitary gas, again comparing neutron matter and cold atoms.

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References
How the literature uses it

10 arXiv papers cite this in 11 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 5 sentences without a confident label

Cites it as background 6 papers

What it cites · 3 sentences without a confident label

Uses data or values from 1 paper
Cites as support 1 paper
Cites as background 1 paper

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