The golden days of Cosmology:

A ~five parameter Universe

\Omega_m
\Omega_b
\Omega_\Lambda
A_s
n_s

Initial Conditions

Dynamics

Dark energy

Dark matter 

Ordinary matter 

Amplitude initial density field

Scale dependence

z \approx 1100

(46 billion light years)

P(\mathcal{C}|\,\,\,\,\,\,\,\,\,\,)

?

(C from 6D to 16D)

The DESI galaxy survey

~ 10 Million galaxies

1. Point cloud generation

Cosmological parameters

+ Stochasticity initial conditions

\delta = \frac{\rho - \bar{\rho}}{\bar{\rho}}
t = 380,000 \: \mathrm{years}
\delta = \red{F}(\delta_i)

Linear

2. Parameter estimation

Early Universe

 ~linear

Gravity

Late Universe

Non-linear 

Credit: S. Codis+16

 

Non-Guassianity

 Second moment not optimal

\delta = \frac{\rho - \bar{\rho}}{\bar{\rho}} << 1
\delta >> 1
P(\mathcal{C}|\mathrm{GNN}(G))
\mathcal{L} = - \frac{1}{N} \sum_i \log\left(P(\theta|\mathrm{GNN}(G))\right)
(r_{ij}, \theta_{ij}, \phi_{ij})
G(r_\mathrm{max})

Input

Output

Rotation and translation Invariant

Current Issues

  • Why is 2pcf performing better? Try to predict 2pcf
  • Scaling up! Right now using 5000 objects, would like to scale to ~100_000 / 1M
  • Graph aggregations seem silly
  • Can it really extract all the information there is? i.e. voids

deck

By carol cuesta