Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Imagiro: an implementation of Bayesian iterative unfolding for high
  energy physics   Unfolding of reconstructed event properties to identify the true features of
collider events is a complementary method to the established practice of
detector calibration, and is particularly relevant to large, composite particle
detectors such as those at the Large Hadron Collider. The behaviour of the
detector is simulated and used to create a mapping between the true properties
of events and their reconstructed equivalents. Unfolding attempts to invert
this mapping for use in correcting measurements.
  Imagiro is a new software package providing Bayesian iterative unfolding with
systematic and statistical error estimation. The software is designed to
simplify the user experience with automatic self-testing and the calculation of
optimal parameters. Methods are provided for loading data and producing plotted
results in the widely used ROOT format.

5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex