Evidence in support of the "nanoflare" picture of coronal heating from SUMER data

Citation
Pg. Judge et al., Evidence in support of the "nanoflare" picture of coronal heating from SUMER data, ASTROPHYS J, 502(2), 1998, pp. 981-996
Citations number
35
Categorie Soggetti
Space Sciences
Journal title
ASTROPHYSICAL JOURNAL
ISSN journal
0004637X → ACNP
Volume
502
Issue
2
Year of publication
1998
Part
1
Pages
981 - 996
Database
ISI
SICI code
0004-637X(19980801)502:2<981:EISOT">2.0.ZU;2-G
Abstract
We study high signal-to-noise profiles of O Iv emission lines obtained usin g the SUMER instrument on SOHO. Data for the quiet Sun obtained close to th e disk center and at the solar limb were acquired. After careful data proce ssing in which disk data were analyzed differentially against limb data, we find a systematic correlation between a density-sensitive emission-line ra tio and Doppler shift across the same emission-line profiles. While unident ified blended lines cannot be completely discounted, the data suggest that the effects of such blends are small. Based on theoretical results in an ea rlier paper, we argue that if wave motions are responsible for the observed behavior, then the data reveal evidence for compressive waves propagating downward from the corona to the chromosphere. This analysis naturally lends support to the dominance of the "nanoflare" mechanism for coronal heating over other theories that invoke upward wave propagation, but other mechanis ms capable of generating downward-propagating waves cannot be discounted. I f, instead, steady flows are the cause of the observed behavior, such as re turn flows from spicules, then they must be such that the density is higher in the downflowing plasma. While these particular data do not allow us to discriminate between waves or steady flows, additional data from SOHO shoul d be able to address this problem. This work required and achieved very acc urate wavelength calibrations (better than 1/5 of a pixel on the detectors) , taking SUMER close to its observational capabilities. We therefore presen t the elements of the analysis and calibration of SUMER data that may be of interest to other users.