Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Super-resolution emulator of cosmological simulations using deep
  physical models   We present an extension of our recently developed Wasserstein optimized model
to emulate accurate high-resolution features from computationally cheaper
low-resolution cosmological simulations. Our deep physical modelling technique
relies on restricted neural networks to perform a mapping of the distribution
of the low-resolution cosmic density field to the space of the high-resolution
small-scale structures. We constrain our network using a single triplet of
high-resolution initial conditions and the corresponding low- and
high-resolution evolved dark matter simulations from the Quijote suite of
simulations. We exploit the information content of the high-resolution initial
conditions as a well constructed prior distribution from which the network
emulates the small-scale structures. Once fitted, our physical model yields
emulated high-resolution simulations at low computational cost, while also
providing some insights about how the large-scale modes affect the small-scale
structure in real space.

35
The categories of this paper are: mtrl-th
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
1
The categories of this paper are: cs
9
The categories of this paper are: nlin