Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Maximizing the capture velocity of molecular magneto-optical traps with
  Bayesian optimization   Magneto-optical trapping (MOT) is a key technique on the route towards
ultracold molecular ensembles. However, the realization and optimization of
magneto-optical traps with their wide parameter space is particularly
difficult. Here, we present a very general method for the optimization of
molecular magneto-optical trap operation by means of Bayesian optimization
(BO). As an example for a possible application, we consider the optimization of
a calcium fluoride (CaF) MOT for maximum capture velocity. We find that both
the $X^2\Sigma^+\,$ to $A^2\Pi_{1/2}\,$ and the $X^2\Sigma^+\,$ to
$B^2\Sigma^+\,$ transition to allow for capture velocities larger than $20$ m/s
with $24$ m/s and $23$ m/s respectively at a total laser power of $200$ mW. In
our simulation, the optimized capture velocity depends logarithmically on the
beam power within the simulated power range of $25$ to $400$ mW. Applied to
heavy molecules such as BaH and BaF with their low capture velocity MOTs it
might offer a route to far more robust magneto-optical trapping.

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The categories of this paper are: cs
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
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The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
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The categories of this paper are: chem-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
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The categories of this paper are: math