Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Generative Models to Simulate Cosmogenic Radiation   We introduce HAWCgen, a set of deep generative neural network models, which
are designed to supplement, or in some cases replace, parts of the simulation
pipeline for the High Altitude Water Cherenkov (HAWC) observatory. We show that
simple deep generative models replicate sampling of the reconstruction at a
near arbitrary speedup compared to the current simulation. Furthermore, we show
that generative models can offer a replacement to the detector simulation at a
comparable rate and quality to current methods. This work was done as part of
an undergraduate summer intern project at NVIDIA during the month of June,
2018.

13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
16
The categories of this paper are: stat
34
The categories of this paper are: chem-ph
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an