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A semi-automated method to reveal the evolution of each sunspot group in a solar cycle

Instrumentation and Methods for Astrophysics · Submitted 30 Nov 2018

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim With this method, the evolution of every sunspot group can be listed for each cycle year besides other cycle features like the daily and monthly sunspot relative numbers and distribution frequency of the sunspot group types.

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arXiv ID1811.12648 (version 1)
Pith IDP3XMKRHV, Pith's permanent record of this paper and its review
CitationHikmet \c{C}akmak. "A semi-automated method to reveal the evolution of each sunspot group in a solar cycle." arXiv:1811.12648 (2018). https://pith.science/paper/P3XMKRHV
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 7,465 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.40 · human participants 0.15 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.09 · compares with prior results 0.06 · mentions code or data availability 0.09.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Sunspots are the most important indicator of the magnetic activity on the solar surface during a cycle. Every sunspot group is formed and shaped by the magnetic field of the Sun. Hence, the magnetic field intensity shows itself as the size of a sunspot group area on the surface. This shows that getting the development or evolution of sunspot groups over time means getting the change of magnetic field intensity during same interval. Here, to reveal the evolution of sunspot groups in a cycle, a method called Solar Cycle Analyzer Tool (SCAT) is presented. This method was developed as a part of Computer-Aided Measurements for Sunspots (CAMS) because the same subroutines and subprograms were used for calculations (Cakmak 2014). The developed software tracks sunspot groups every day and gives them the same group number. The confirmation is made by the user to prevent counting re-formations as a continuation of an old group in the same active region. With this method, the evolution of every sunspot group can be listed for each cycle year besides other cycle features like the daily and monthly sunspot relative numbers and distribution frequency of the sunspot group types. Since 2015, SCAT is being used to get data for the annual reports of Istanbul University Observatory.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Sunspots are the most important indicator of the magnetic activity on the solar surface during a cycle. background 1.00 0.06 0.05 asserted 1.00
s1 Every sunspot group is formed and shaped by the magnetic field of the Sun. background 1.00 0.06 0.04 asserted 1.00
s2 Hence, the magnetic field intensity shows itself as the size of a sunspot group area on the surface. background 0.90 0.12 0.08 asserted 1.00
s3 This shows that getting the development or evolution of sunspot groups over time means getting the change of magnetic field intensity during same interval. background 0.77 0.19 0.16 asserted 1.00
s4 Here, to reveal the evolution of sunspot groups in a cycle, a method called Solar Cycle Analyzer Tool (SCAT) is presented. contribution 0.94 0.87 0.17 asserted 0.99
s5 This method was developed as a part of Computer-Aided Measurements for Sunspots (CAMS) because the same subroutines and subprograms were used for calculations (Cakmak 2014). background 0.59 0.69 0.03 asserted 1.00
s6 The developed software tracks sunspot groups every day and gives them the same group number. method 0.99 0.77 0.05 asserted 1.00
s7 The confirmation is made by the user to prevent counting re-formations as a continuation of an old group in the same active region. method 1.00 0.69 0.04 asserted 1.00
s8 With this method, the evolution of every sunspot group can be listed for each cycle year besides other cycle features like the daily and monthly sunspot relative numbers and distribution frequency of the sunspot group types. contribution 0.81 0.76 0.29 asserted 0.90
s9 Since 2015, SCAT is being used to get data for the annual reports of Istanbul University Observatory. contribution 0.46 0.80 0.05 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.64.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Sunspots are the most important indicator of the magnetic activity on the solar surface during a cycle. Every sunspot group is formed and shaped by the magnetic field of the Sun. Hence, the magnetic field intensity shows itself as the size of a sunspot group area on the surface. This shows that getting the development or evolution of sunspot groups over time means getting the change of magnetic field intensity during same interval. Here, to reveal the evolution of sunspot groups in a cycle, a method called Solar Cycle Analyzer Tool (SCAT) is presented. This method was developed as a part of Computer-Aided Measurements for Sunspots (CAMS) because the same subroutines and subprograms were used for calculations (Cakmak 2014). The developed software tracks sunspot groups every day and gives them the same group number. The confirmation is made by the user to prevent counting re-formations as a continuation of an old group in the same active region. With this method, the evolution of every sunspot group can be listed for each cycle year besides other cycle features like the daily and monthly sunspot relative numbers and distribution frequency of the sunspot group types. Since 2015, SCAT is being used to get data for the annual reports of Istanbul University Observatory.

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