DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning | Paper Citation Record

Observation 25f613b4-c05b-4938-95b7-b0641548d36a · outbound

This paper cites H., Gardner J., 2001, @doi [ ] 10.1086/323370 , http://adsabs.harvard.edu/abs/2001ApJ...561..521A 561, 521.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning H., Gardner J., 2001, @doi [ ] 10.1086/323370 , http://adsabs.harvard.edu/abs/2001ApJ...561..521A 561, 521

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This paper cites F., 1997, @doi [ ] 10.1086/303908 , http://adsabs.harvard.edu/abs/1997ApJ...479..523B 479, 523.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning F., 1997, @doi [ ] 10.1086/303908 , http://adsabs.harvard.edu/abs/1997ApJ...479..523B 479, 523

Reference 2

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This paper cites S., Puchwein E., Sijacki D., Haehnelt M.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning S., Puchwein E., Sijacki D., Haehnelt M

Reference 4

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 5

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This paper cites D., 2018, @doi [Physical Review D] 10.1103/physrevd.97.083004 , 97.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning D., 2018, @doi [Physical Review D] 10.1103/physrevd.97.083004 , 97

Reference 6

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 7

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 8

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Observation 317f812e-6a7a-458b-b2c0-796161948dff · outbound

This paper cites The DESI Experiment Part I: Science,Targeting, and Survey Design.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning The DESI Experiment Part I: Science,Targeting, and Survey Design

Reference 9

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 11

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Observation ec63a6d8-9b3e-4343-b0db-2147e1c0faa4 · outbound

This paper cites E., Hoffman Y., Gottl \"o ber S., Klypin A., Yepes G., 2009, @doi [ ] 10.1111/j.1365-2966.2009.14885.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.396.1815F 396, 1815.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning E., Hoffman Y., Gottl \"o ber S., Klypin A., Yepes G., 2009, @doi [ ] 10.1111/j.1365-2966.2009.14885.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.396.1815F 396, 1815

Reference 12

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Observation 91ff08f8-defd-41a5-8fd9-41a2f9444bf1 · outbound

This paper cites Generative Adversarial Networks.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Generative Adversarial Networks

Reference 13

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Observation 95e15c1f-3e2a-49c0-a0af-d43e4f70422c · outbound

This paper cites E., Peterson B.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning E., Peterson B

Reference 14

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This paper cites P., et al., 2017, @doi [ ] 10.3847/1538-3881/aa859f , https://ui.adsabs.harvard.edu/abs/2017AJ....154..190H 154, 190.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning P., et al., 2017, @doi [ ] 10.3847/1538-3881/aa859f , https://ui.adsabs.harvard.edu/abs/2017AJ....154..190H 154, 190

Reference 16

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This paper cites https://openreview.net/forum?id=Sy2fzU9gl.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning https://openreview.net/forum?id=Sy2fzU9gl

Reference 17

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Observation 35392a1c-100a-404e-9132-a0a3979f5f17 · outbound

This paper cites TARDIS Paper I: A Constrained Reconstruction Approach to Modeling the z~2.5 Cosmic Web Probed by Lyman-alpha Forest Tomography.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning TARDIS Paper I: A Constrained Reconstruction Approach to Modeling the z~2.5 Cosmic Web Probed by Lyman-alpha Forest Tomography

Reference 18

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 19

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 20

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 21

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 22

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Observation 209f3fc0-c21f-49e3-8222-dfd9125ba1af · outbound

This paper cites Auto-Encoding Variational Bayes.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Auto-Encoding Variational Bayes

Reference 24

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 25

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 26

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 27

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 28

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 29

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This paper cites The Wide-field Spectroscopic Telescope (WST) Science White Paper.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning The Wide-field Spectroscopic Telescope (WST) Science White Paper

Reference 30

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This paper cites R., Pichon C., 2019, @doi [ ] 10.1093/mnras/stz2828 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.3633M 490, 3633.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning R., Pichon C., 2019, @doi [ ] 10.1093/mnras/stz2828 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.3633M 490, 3633

Reference 31

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 32

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Reference 33

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 34

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Reference 35

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 36

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 37

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 38

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This paper cites A., 2009, @doi [Reviews of Modern Physics] 10.1103/RevModPhys.81.1405 , http://adsabs.harvard.edu/abs/2009RvMP...81.1405M 81, 1405.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning A., 2009, @doi [Reviews of Modern Physics] 10.1103/RevModPhys.81.1405 , http://adsabs.harvard.edu/abs/2009RvMP...81.1405M 81, 1405

Reference 39

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This paper cites P., Rauch M., 1996, @doi [ ] 10.1086/177992 , http://adsabs.harvard.edu/abs/1996ApJ...471..582M 471, 582.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning P., Rauch M., 1996, @doi [ ] 10.1086/177992 , http://adsabs.harvard.edu/abs/1996ApJ...471..582M 471, 582

Reference 40

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Observation 40cdc86a-db40-4fee-93fa-5c0159f4c4aa · outbound

This paper cites Large, fast and accurate HI intensity maps with latent overlap diffusion.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Large, fast and accurate HI intensity maps with latent overlap diffusion

Reference 41

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning B., et al., 2020, @doi [ ] 10.3847/1538-4357/ab75ee , https://ui.adsabs.harvard.edu/abs/2020ApJ...891..147N 891, 147

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning The Role of Machine Learning in the Next Decade of Cosmology

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning S., Weinberg D

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This paper cites L., Rollinde E., Colombi S., Petitjean P., 2001, @doi [ ] 10.1046/j.1365-8711.2001.04595.x , http://adsabs.harvard.edu/abs/2001MNRAS.326..597P 326, 597.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning L., Rollinde E., Colombi S., Petitjean P., 2001, @doi [ ] 10.1046/j.1365-8711.2001.04595.x , http://adsabs.harvard.edu/abs/2001MNRAS.326..597P 326, 597

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This paper cites WEAVE-QSO: A Massive Intergalactic Medium Survey for the William Herschel Telescope.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning WEAVE-QSO: A Massive Intergalactic Medium Survey for the William Herschel Telescope

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 49

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This paper cites G., Madau P., 2019, @doi [ ] 10.1093/mnras/stz222 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485...47P 485, 47.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning G., Madau P., 2019, @doi [ ] 10.1093/mnras/stz222 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485...47P 485, 47

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 51

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 52

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning A., Steidel C

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning JERALD: high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations

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This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning U-Net: Convolutional Networks for Biomedical Image Segmentation

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 56

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning F., Haehnelt M

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

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Reference 61

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning W., White M., Lee K.-G., Hennawi J

Reference 62

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 63

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This paper cites an unresolved cited work.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 64

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning J., Theuns T., Haehnelt M

Reference 65

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Reference 66

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Reference 67

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning Unresolved cited work

Reference 69

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning S., 2006, @doi [ ] 10.1111/j.1365-2966.2006.10333.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.369..734Z 369, 734

Reference 70

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning L., Zehavi I., 2007, @doi [ ] 10.1086/521074 , https://ui.adsabs.harvard.edu/abs/2007ApJ...667..760Z 667, 760

Reference 71

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This paper cites 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.

DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Reference 72

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DeepCHART: Mapping the 3D dark matter density field from Ly$\alpha$ forest surveys using deep learning write newline

Reference 73

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