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BEGIN:VEVENT
DTSTART;TZID=Atlantic/Canary:20210608T123000
DTEND;TZID=Atlantic/Canary:20210608T133000
UID:iactalks-1479
X-WR-CALNAME: IAC Talks: Open Astronomy Seminars
X-ORIGINAL-URL: /iactalks/Talks/view/1479
CREATED:2021-06-08T12:30:00+01:00
X-WR-CALDESC: IAC Talks upcomming talks
SUMMARY:Mapping the Sun's upper photosphere with artificial neural networks
DESCRIPTION:Mapping the Sun's upper photosphere with artificial neural netw
 orks\nDr. Hector Socas-Navarro\n\nIn this talk I'll present results from a
  recent paper in which we have developed a new analysis technique for sola
 r spectra based on artificial neural networks. Our first test ap
 plications yielded some unexpected and interesting results. The fine-scale
  network of temperature enhancements in the quiet middle and upper photosp
 here have a reversed pattern. Hot pixels in the middle photosphere, possib
 ly associated with small-scale magnetic elements, appear cool at higher le
 vels (log(tau)=-3 and -4), and vice versa. We also find hot arcs on the li
 mb side of magnetic pores, which we interpret as the first direct observat
 ional evidence of the "hot wall" effect. Hot walls are a prediction of the
 oretical models from the 1970s which had not been observed until now.
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