A new variational Monte Carlo framework using neural-network wave functions and the Lorentz integral transform accurately reproduces deuteron and helium-4 photon absorption cross sections.
Spin Response and Neutrino Emissivity of Dense Neutron Matter
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abstract
We study the spin response of cold dense neutron matter in the limit of zero momentum transfer, and show that the frequency dependence of the long-wavelength spin response is well constrained by sum-rules and the asymptotic behavior of the two-particle response at high frequency. The sum-rules are calculated using Auxiliary Field Diffusion Monte Carlo technique and the high frequency two-particle response is calculated for several nucleon-nucleon potentials. At nuclear saturation density, the sum-rules suggest that the strength of the spin response peaks at $\omega \simeq$ 40--60 MeV, decays rapidly for $\omega \geq $100 MeV, and has a sizable strength below 40 MeV. This strength at relatively low energy may lead to enhanced neutrino production rates in dense neutron-rich matter at temperatures of relevance to core-collapse supernova.
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Nuclear responses with neural-network quantum states
A new variational Monte Carlo framework using neural-network wave functions and the Lorentz integral transform accurately reproduces deuteron and helium-4 photon absorption cross sections.