Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Testing and Improving a Set of Morphological Predictors of Flaring
  Activity   Efficient prediction of solar flares relies on parameters that quantify the
eruptive capability of solar active regions. Several such quantitative
predictors have been proposed in the literature, inferred mostly from
photospheric magnetograms and/or white-light observations. Two of them are the
Ising energy and the sum of the total horizontal magnetic field gradient. The
former has been developed from line-of-sight magnetograms, while the latter
uses sunspot detections and characteristics, based on continuum images. Aiming
to include these parameters in an automated prediction scheme, we test their
applicability on regular photospheric magnetic field observations provided by
the Helioseismic and Magnetic Imager (HMI) instrument onboard the Solar
Dynamics Observatory (SDO). We test their efficiency as predictors of flaring
activity on a representative sample of active regions and investigate possible
modifications of these quantities. The Ising energy appears to be an efficient
predictor, and the efficiency is even improved if it is modified to describe
interacting magnetic partitions or sunspot umbrae. The sum of the horizontal
magnetic field gradient appears to be slightly more promising than the three
variations of the Ising energy we implement in this article. The new predictors
are also compared with two very promising predictors: the effective connected
magnetic field strength and the total unsigned non-neutralized current. Our
analysis shows that the efficiency of morphological predictors depends on
projection effects in a nontrivial way. All four new predictors are found
useful for inclusion in an automated flare forecasting facility, such as the
Flare Likelihood and Region Eruption Forecasting (FLARECAST), but their
utility, among others, will ultimately be determined by the validation effort
underway in the framework of the FLARECAST project.

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The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: econ
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
1
The categories of this paper are: cs
0
The categories of this paper are: hep-ph
26
The categories of this paper are: bayes-an
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The categories of this paper are: ao-sci
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The categories of this paper are: q-alg
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The categories of this paper are: cmp-lg
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The categories of this paper are: funct-an
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The categories of this paper are: stat
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The categories of this paper are: hep-lat
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The categories of this paper are: solv-int