CLML(Cosmology with Large scale structure using Machine Learning)
- Estimating cosmological parameters(Ω_m, σ_8) using 3dCNN
- About data
- Halo's xyz position → Numpy.histogramdd → the number of halos in each bin
- Data type
- bins_Nhalo, bins_mass, bins_speed
- Result(minimum value)
- Apple
- Om
- True-pred, mass : 0.0014
- std, nhalo+mass+vel : 0.0382
- Sig
- True-pred, vel : 0.0418
- std, nhalo : 0.0661
- Banana
- Om
- True-pred, mass : 0.003
- std, nhalo+mass+vel : 0.0315
- Sig
- True-pred, nhalo : 0.0516
- std, nhalo : 0.0632