Investigating Remote-sensing Techniques to Reveal Stealth Coronal Mass Ejections
Erika Palmerio, Nariaki V. Nitta, Tamitha Mulligan, Marilena Mierla,, Jennifer O'Kane, Ian G. Richardson, Suvadip Sinha, Nandita Srivastava,, Stephanie L. Yardley, Andrei N. Zhukov

TL;DR
This study explores remote-sensing image processing and geometric techniques to detect and analyze stealth coronal mass ejections, which lack clear low-coronal signatures but are significant for space weather forecasting.
Contribution
The paper demonstrates that various image processing and geometric methods can reveal weak signatures of stealth CMEs, improving detection and understanding of these elusive solar events.
Findings
Weak eruptive signatures can be identified with careful remote-sensing analysis
Effectiveness of geometric techniques depends on CME direction and spacecraft positioning
Different image processing methods are needed for proper interpretation of stealth CMEs
Abstract
Eruptions of coronal mass ejections (CMEs) from the Sun are usually associated with a number of signatures that can be identified in solar disc imagery. However, there are cases in which a CME that is well observed in coronagraph data is missing a clear low-coronal counterpart. These events have received attention during recent years, mainly as a result of the increased availability of multi-point observations, and are now known as 'stealth CMEs'. In this work, we analyse examples of stealth CMEs featuring various levels of ambiguity. All the selected case studies produced a large-scale CME detected by coronagraphs and were observed from at least one secondary viewpoint, enabling a priori knowledge of their approximate source region. To each event, we apply several image processing and geometric techniques with the aim to evaluate whether such methods can provide additional information…
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