Neural network approach to reconstructing spectral functions and complex poles of confined particles
Reconstructing spectral functions from propagator data is difficult as solving the analytic continuation problem or applying an inverse integral transformation are ill-conditioned problems. Recent work has proposed using neural networks to solve this problem and has shown promising results, eithe...
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| Format: | Article |
| Language: | English |
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SciPost
2022-10-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.13.4.097 |