Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Indicator Power Spectra: Surgical Excision of Non-linearities and
  Covariance Matrices for Counts in Cells   We here introduce indicator functions, which identify regions of a given
density in order to characterize the density dependence of clustering. After a
general introduction to this tool, we show that indicator-function power
spectra are biased versions of the linear spectrum on large scales. We provide
a calculation from first principles for this bias, we show that it reproduces
simulation results, and we provide a simple functional form for the translinear
portion of the indicator-function spectra. We also outline two applications:
first, these spectra facilitate surgical excision of non-linearity and thus
significantly increase the reach of linear theory. Second, indicator-function
spectra permit calculation of theoretical covariance matrices for
counts-in-cells (CIC), facilitating parameter estimation with complementary CIC
methods.

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The categories of this paper are: supr-con
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The categories of this paper are: math-ph
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The categories of this paper are: adap-org
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The categories of this paper are: nucl-ex
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The categories of this paper are: eess
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-th
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The categories of this paper are: cmp-lg
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The categories of this paper are: chem-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: hep-ex
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The categories of this paper are: q-bio
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The categories of this paper are: econ