Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum | Paper Citation Record

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum S., Bell J

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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This paper cites D., Bolton J.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum D., Bolton J

Reference 7

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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This paper cites V., Viel M., Verde L., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18245.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.413.1717B 413, 1717.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum V., Viel M., Verde L., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18245.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.413.1717B 413, 1717

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This paper cites K., Peiris H.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum K., Peiris H

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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This paper cites D., Bolton J.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum D., Bolton J

Reference 13

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This paper cites R., Cole S., Efstathiou G., Kaiser N., 1991, @doi [ ] 10.1086/170520 , https://ui.adsabs.harvard.edu/abs/1991ApJ...379..440B 379, 440.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum R., Cole S., Efstathiou G., Kaiser N., 1991, @doi [ ] 10.1086/170520 , https://ui.adsabs.harvard.edu/abs/1991ApJ...379..440B 379, 440

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Perturbative Lagrangian Approach to Gravitational Instability

Reference 17

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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This paper cites JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library

Reference 20

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This paper cites C., 2025, @doi [ ] 10.1093/mnras/staf663 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.539.3220C 539, 3220.

Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum C., 2025, @doi [ ] 10.1093/mnras/staf663 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.539.3220C 539, 3220

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX

Reference 24

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Trac H., Fuller S., Upton Sanderbeck P

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., 2015, PhD thesis, University of California, Los Angeles

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Furlanetto S

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., et al., 2018, @doi [ ] 10.3847/1538-4357/aad6dc , https://ui.adsabs.harvard.edu/abs/2018ApJ...864..142D 864, 142

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum C., Hennawi J

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum C., Hennawi J

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum J., Roweth D., 1987, @doi [Physics Letters B] https://doi.org/10.1016/0370-2693(87)91197-X , 195, 216

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Hennawi J

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum R., Datta K

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Y., 2014, @doi [ ] 10.1088/0004-637X/793/1/29 , https://ui.adsabs.harvard.edu/abs/2014ApJ...793...29G 793, 29

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Bayesian error propagation for neural-net based parameter inference

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Wang F., Yang J., Hennawi J

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Automatic differentiation in machine learning: a survey

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum E., Peterson B

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Observation 36600245-ca1e-4aa0-ac4e-3a4bc59c5088 · outbound

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Observation 10d19945-837c-45b1-a50b-ca3faceaba93 · outbound

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum F., Kist T., Davies F

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Observation 6bf4ad12-9a74-4620-b103-6038adcb8579 · outbound

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Observation dee153d3-88df-44d0-b0fd-217ac9b1c425 · outbound

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum arXiv:2502.02294

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Observation b6123e1e-e8c9-4788-979b-f1399e100ba4 · outbound

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Observation 79e08278-cb91-4c25-b9ea-000161a3787e · outbound

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum C., Bolton J

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Observation d0ba70e3-6764-40fb-a774-e33a3637d5d7 · outbound

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum F., Davies F

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum F., Davies F

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Reference 73

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum W., Nugent P., White M., Meiksin A

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Reference 78

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum A., Naidu R

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Reference 81

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Bolton J

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum K., McDonald P., Peiris H

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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators

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