Detection of Stellar-like Abundance Anomalies in the Slow Solar Wind - INSU - Institut national des sciences de l'Univers Accéder directement au contenu
Article Dans Une Revue The Astrophysical journal letters Année : 2022

Detection of Stellar-like Abundance Anomalies in the Slow Solar Wind

Résumé

The elemental composition of the Sun's hot atmosphere, the corona, shows a distinctive pattern that is different from the underlying surface or photosphere. Elements that are easy to ionize in the chromosphere are enhanced in abundance in the corona compared to their photospheric values. A similar pattern of behavior is often observed in the slow-speed (<500 km s-1) solar wind and in solar-like stellar coronae, while a reversed effect is seen in M dwarfs. Studies of the inverse effect have been hampered in the past because only unresolved (point-source) spectroscopic data were available for these stellar targets. Here we report the discovery of several inverse events observed in situ in the slow solar wind using particle-counting techniques. These very rare events all occur during periods of high solar activity that mimic conditions more widespread on M dwarfs. The detections allow a new way of connecting the slow wind to its solar source and are broadly consistent with theoretical models of abundance variations due to chromospheric fast-mode waves with amplitudes of 8-10 km s-1, sufficient to accelerate the solar wind. The results imply that M-dwarf winds are dominated by plasma depleted in easily ionized elements and lend credence to previous spectroscopic measurements.
Fichier principal
Vignette du fichier
Brooks_2022_ApJL_930_L10.pdf (912.52 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

insu-03713322 , version 1 (04-07-2022)

Licence

Paternité

Identifiants

Citer

David H. Brooks, Deborah Baker, Lidia van Driel-Gesztelyi, Harry P. Warren, Stephanie L. Yardley. Detection of Stellar-like Abundance Anomalies in the Slow Solar Wind. The Astrophysical journal letters, 2022, 930, ⟨10.3847/2041-8213/ac6878⟩. ⟨insu-03713322⟩
18 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More