Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lund jet images from generative and cycle-consistent adversarial
  networks   We introduce a generative model to simulate radiation patterns within a jet
using the Lund jet plane. We show that using an appropriate neural network
architecture with a stochastic generation of images, it is possible to
construct a generative model which retrieves the underlying two-dimensional
distribution to within a few percent. We compare our model with several
alternative state-of-the-art generative techniques. Finally, we show how a
mapping can be created between different categories of jets, and use this
method to retroactively change simulation settings or the underlying process on
an existing sample. These results provide a framework for significantly
reducing simulation times through fast inference of the neural network as well
as for data augmentation of physical measurements.

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The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
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The categories of this paper are: ao-sci
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The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th