Multi-Instrument Solar Flare Observations II: A SC24 retrospective

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==Statistics==
==Statistics==
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First we shall take a look at how instrument performed individually. Table 1 shows the breakdown of flares (by class)  
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First we shall take a look at how instrument performed individually. Table 1 shows the breakdown of flares listed in the SSW Latest Events catalog (by class) observed by each instrument. Note that MEGS-A had a 100% duty cycle up until 26 May 2014 when it suffered a power anomaly. Similarly, IRIS was only launched on 27 June 2013 so only flares after this date (in parentheses) were considered.
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Now we look at how many flares (of all classes) were observed by various combinations (degree) of instruments. Again note that all 7 instruments were only operational together for 11 months, and the number of flares duration this time are given in parentheses.
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|| Degree || Number of flares observed || % of potentially observable flares
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==UpSetR plots==
==UpSetR plots==
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To help visualise these relationships we have used UpSet, a novel tool for visualising intersecting datasets. This type of plot enables the efficient visualization the common elements of a large number of sets (the more common and familiar Venn diagram approach produces ineffective visualizations).
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[[File:Upsetr_merged.png|1200px|thumb|center|Figure 2: UpSet plots of the intersection of flare datasets from each instrument as ordered by decreasing frequency (left) and increasing degree (right; zero elements sets not included).]]
[[File:Upsetr_merged.png|1200px|thumb|center|Figure 2: UpSet plots of the intersection of flare datasets from each instrument as ordered by decreasing frequency (left) and increasing degree (right; zero elements sets not included).]]

Revision as of 10:17, 7 March 2017

Contents

Introduction

Using the search capabilities outlines in a previous nugget, we can now do a retrospective analysis to see how effective our coordinated observations - either planned or serendipitous - have been during Solar Cycle 24. We consider the first 6.5 years after SDO was launched (1 May 2010-31 Oct 2016), which encompasses the peak of Solar Cycle 24 (vertical dotted lines in Figure 1).

Figure 1: Plot of Solar Cycles 23 and 24 (average monthly sunspot number) with mission durations overplotted. The two vertical dotted lines denote the 6.5 year time range considered for this study. Note that SDO/EVE MEGS-A and IRIS only overlapped for ~11 months.

Statistics

First we shall take a look at how instrument performed individually. Table 1 shows the breakdown of flares listed in the SSW Latest Events catalog (by class) observed by each instrument. Note that MEGS-A had a 100% duty cycle up until 26 May 2014 when it suffered a power anomaly. Similarly, IRIS was only launched on 27 June 2013 so only flares after this date (in parentheses) were considered.

Table 1
Instrument/Database C-class M-class X-class Total Success Rate
SSW Latest Events 6,339 581 33 6,953 N/A
RHESSI 3,673 370 23 4,066 58%
SDO/EVE MEGS-A 3,825 343 19 4,187 100%
SDO/EVE MEGS-B 787 97 8 892 12%
Hinode/EIS 496 54 6 556 8%
Hinode/SOT 1,167 177 15 1,359 20%
Hinode/XRT 3,793 357 26 4,122 59%
IRIS 523 (3,349) 76 (335) 5 (16) 604 (3,700) 16%

Now we look at how many flares (of all classes) were observed by various combinations (degree) of instruments. Again note that all 7 instruments were only operational together for 11 months, and the number of flares duration this time are given in parentheses.

Table 2
Degree Number of flares observed  % of potentially observable flares
No instrument 127 1.8%
Only 1 instrument 1,432 20.6%
2 instruments 2,371 34.1%
3 instruments 2,035 29.2
4 instruments 720 10.3%
5 instruments 228 3.3%
6 instruments 37 0.5%
All 7 instruments 3 (934) 0.3%

UpSetR plots

To help visualise these relationships we have used UpSet, a novel tool for visualising intersecting datasets. This type of plot enables the efficient visualization the common elements of a large number of sets (the more common and familiar Venn diagram approach produces ineffective visualizations).

Figure 2: UpSet plots of the intersection of flare datasets from each instrument as ordered by decreasing frequency (left) and increasing degree (right; zero elements sets not included).

Conclusions

Biographical Note

Ryan Milligan is currently an Ernest Rutherford Fellow at the University of Glasgow.

References

[1] "UpSet: Visualization of Intersecting Sets"

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