Our PapersΒΆ

8. Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SimBIG inference framework
Nature Astronomy (2024)

We apply the SimBIG to analyze the SDSS-III: BOSS CMASS galaxies using two clustering statistics beyond the standard power spectrum: the bispectrum and a summary of the galaxy field based on a convolutional neural network. We constrain the cosmic expansion (H0) and growth rate (S8) 1.5 and 1.9 times more tightly than power spectrum analyses.
7. SimBIG: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra
PRD accepted (2024)

We apply the SimBIG to analyze the masked power spectra of SDSS-III: BOSS CMASS galaxies.
6. SimBIG: Cosmological Constraints from the Redshift-Space Galaxy Skew Spectra
PRD 109, 3528 (2024)

We apply the SimBIG to analyze the skew spectra of SDSS-III: BOSS CMASS galaxies.
5. SimBIG: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum
PRD 109, 3534 (2024)

We apply the SimBIG to analyze the bispectrum of SDSS-III: BOSS CMASS galaxies.
4. SimBIG: Galaxy Clustering Analysis with the Wavelet Scattering Transform
PRD 109, 3535 (2024)

We apply the SimBIG to analyze the wavelet scattering transform of SDSS-III: BOSS CMASS galaxies.
3. SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering
PRD 109, 3536 (2024)

We apply the SimBIG to conduct a field-level inference of SDSS-III: BOSS CMASS galaxies based on convolutional neural networks.
2. A forward modeling approach to analyzing galaxy clustering with SimBIG
PNAS 120, 42 (2023)

We present the SimBIG framework and apply it to analyze the power spectrum of SDSS-III: BOSS CMASS galaxies. We demonstrate that we can rigorously analyze galaxy clustering down to non-scales (k=0.5 h/Mpc) and extract additional cosmological information beyondc current standard anlayses.
1. SimBIG: mock challenge for a forward modeling approach to galaxy clustering
JCAP 2023, 4 (2022)

We present the mock challenge used to validate the SimBIG framework. The mock challenge consists of 1,500 test simulations constructed using forward models with different N-body simulation, halo finder, and galaxy-halo connection. With these simulations, we rigorously validate the accuarcy and precision of the posteriors inferred from SimBIG