Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fast Bayesian Deconvolution using Simple Reversible Jump Moves   We propose a Markov chain Monte Carlo-based deconvolution method designed to
estimate the number of peaks in spectral data, along with the optimal
parameters of each radial basis function. Assuming cases where the number of
peaks is unknown, and a sweep simulation on all candidate models is
computationally unrealistic, the proposed method efficiently searches over the
probable candidates via trans-dimensional moves assisted by annealing effects
from replica exchange Monte Carlo moves. Through simulation using synthetic
data, the proposed method demonstrates its advantages over conventional sweep
simulations, particularly in model selection problems. Application to a set of
olivine reflectance spectral data with varying forsterite and fayalite mixture
ratios reproduced results obtained from previous mineralogical research,
indicating that our method is applicable to deconvolution on real data sets.

17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org