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Table C.5
Comparison of fNL results for the hybrid polynomial and Fourier modes for a variety of non-separable and feature models.
| fNL ± ΔfNL (σ) | ||
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| Model | Polynomial | Fourier ISW |
|
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| Const (see text) ......... | 14 ± 44(0.3) | 10 ± 44(0.2) |
| EFT1 shape (5) ......... | 8 ± 73(0.1) | 6 ± 73(0.1) |
| EFT2 shape (5) ......... | 19 ± 57(0.3) | 13 ± 57(0.2) |
| DBI inflation (7) ......... | 12 ± 69(0.2) | −0.3 ± 70(0.0) |
| Ghost inflation (see text) ......... | −24 ± 88(−0.3) | −48 ± 89(−0.5) |
| Flat model (13) ......... | 37 ± 77(0.5) | 38 ± 76(0.5) |
| NBD (see text) ......... | 155 ± 78(2.0) | 116 ± 92(1.3) |
| NBD1 flattened (14) ......... | 19 ± 13(1.4) | 4 ± 19(0.2) |
| NBD2 squeezed (14) ......... | 0.25 ± 0.45(0.5) | −0.3 ± 0.5(−0.5) |
| NBD3 non-canonical (15) ......... | 10 ± 10(1.0) | 4 ± 11(0.3) |
| Vector model L = 1 (19) ......... | −5 ± 47(−0.1) | −24 ± 50(−0.5) |
| Vector model L = 2 (19) ......... | −0.4 ± 2.8(−0.1) | −1.0 ± 3.2(−0.3) |
| WarmS inflation (see text) ......... | 1 ± 33(0.04) | −16 ± 41(−0.4) |
| Feature kc = 0.015 ......... | −313 ± 144(2.1) | −264 ± 161(1.6) |
| Feature kc = 0.020 ......... | −155 ± 110(−1.4) | −167 ± 122(−1.4) |
| Feature kc = 0.025 ......... | 106 ± 93(1.1) | 110 ± 98(1.1) |
| Feature kc = 0.030 ......... | 56 ± 89(0.6) | 78 ± 96(0.8) |
| Feature kc = 0.035 ......... | 22 ± 82(0.3) | 15 ± 84(0.2) |
| Feature kc = 0.040 ......... | −0.9 ± 68(−0.01) | 4 ± 69(0.1) |
| Feature kc = 0.050 ......... | −0.2 ± 63(0.00) | 15 ± 66(0.2) |
| Feature kc = 0.080 ......... | 16 ± 64(0.2) | 21 ± 64(0.3) |
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