Table 3.
Goodness of fit of our models given the DES Y3 data vector.
| Model | χ2/d.o.f.(Nfree) | χ2/d.o.f.(Neff) | ||
|---|---|---|---|---|
| DES scale cuts | All scales | DES scale cuts | All scales | |
| NLA BCM7 (fiducial) | 226.98/204 = 1.11 | 414.14/377 = 1.1 | 226.98/224.69 = 1.01 | 414.14/397.16 = 1.04 |
| NLA GrO | 227.98/211 = 1.08 | 416.46/384 = 1.08 | 227.98/224.63 = 1.01 | 416.46/397.37 = 1.05 |
| NLA BCM1 | 227.58/210 = 1.08 | 414.23/383 = 1.08 | 227.58/224.61 = 1.01 | 414.23/397.11 = 1.04 |
| NLA BCM-extreme | 227.24/211 = 1.08 | 419.03/384 = 1.09 | 227.24/224.6 = 1.01 | 419.03/397.77 = 1.05 |
| TATT BCM7 | 226.28/201 = 1.13 | 411.22/374 = 1.1 | 226.28/224.14 = 1.01 | 411.22/396.21 = 1.04 |
| TATT GrO | 226.37/208 = 1.09 | 410.66/381 = 1.08 | 226.37/224.28 = 1.01 | 410.66/396.16 = 1.04 |
| TATT BCM1 | 225.28/207 = 1.09 | 407.65/380 = 1.07 | 225.28/223.87 = 1.01 | 407.65/396.35 = 1.03 |
| TATT BCM-extreme | 227.2/208 = 1.09 | 408.69/381 = 1.07 | 227.2/223.77 = 1.02 | 408.69/396.37 = 1.03 |
Notes. We calculated the d.o.f. by subtracting the number of parameters Nθ from the number of data points (N𝒟). We used as Nθ either the number of free parameters Nfree or the number of effective parameters Neff as defined in Raveri & Hu (2019). We explored different models, with NLA or TATT intrinsic alignment, gravity-only, or applying a baryonification with one or seven free parameters (BCM1 and BCM7, respectively). We also included a model with an extreme implementation of AGN feedback.
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