Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A practical way to regularize unfolding of sharply varying spectra with
  low data statistics   Unfolding is a well-established tool in particle physics. However, a naive
application of the standard regularization techniques to unfold the momentum
spectrum of protons ejected in the process of negative muon nuclear capture led
to a result exhibiting unphysical artifacts. A finite data sample limited the
range in which unfolding can be performed, thus introducing a cutoff. A sharply
falling "true" distribution led to low data statistics near the cutoff, which
exacerbated the regularization bias and produced an unphysical spike in the
resulting spectrum. An improved approach has been developed to address these
issues and is illustrated using a toy model. The approach uses full Poisson
likelihood of data, and produces a continuous, physically plausible, unfolded
distribution. The new technique has a broad applicability since spectra with
similar features, such as sharply falling spectra, are common.

8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
2
The categories of this paper are: math