Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Method for estimation of gravitational-wave transient model parameters
  in frequency-time maps   A common technique for detection of gravitational-wave signals is searching
for excess power in frequency-time maps of gravitational-wave detector data. In
the event of a detection, model selection and parameter estimation will be
performed in order to explore the properties of the source. In this paper, we
develop a Bayesian statistical method for extracting model-dependent parameters
from observed gravitational-wave signals in frequency-time maps. We demonstrate
the method by recovering the parameters of model gravitational-wave signals
added to simulated advanced LIGO noise. We also characterize the performance of
the method and discuss prospects for future work.

25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con