Speaker
Description
Wave phenomena are key to diagnosing the solar atmosphere, from chromospheric magnetoacoustic oscillations to Alfvénic waves in the corona. Yet, interpreting these complex signals depends critically on choosing the right analysis methods — a non-trivial task given the multi-dimensional, non-stationary nature of solar data and the diversity of available techniques. In this presentation, we highlight insights from our recent Nature Reviews Methods Primers article (https://WaLSA.tools/nrmp), which offers a systematic comparison of widely used wave analysis tools and underscores the importance of matching method to data characteristics and science goals. Building on this work, we present WaLSAtools (https://WaLSA.tools) — an open-source software library developed by and for the solar community — which implements a range of reproducible, well-tested techniques suited to the unique challenges of solar wave research. Originally motivated by wave dynamics in the lower solar atmosphere, WaLSAtools is continually evolving to support both established and emerging methods, with a focus on accessibility, transparency, and cross-disciplinary collaboration. This presentation outlines the toolkit’s capabilities, practical examples from solar datasets, and our vision for building a robust, shared platform for wave analysis in solar physics.
Full author list: Shahin Jafarzadeh, David B. Jess, Marco Stangalini, Samuel D. T. Grant, Jonathan E. Higham, Martin E. Pessah, Peter H. Keys, Sergey Belov, Daniele Calchetti, Timothy J. Duckenfield, Viktor Fedun, Bernhard Fleck, Ricardo Gafeira, Stuart M. Jefferies, Elena Khomenko, Richard J. Morton, Aimee A. Norton, S. P. Rajaguru, Luiz A. C. A. Schiavo, Rahul Sharma, Suzana S. A. Silva, Sami K. Solanki, Oskar Steiner, Gary Verth, Gangadharan Vigeesh & Nitin Yadav
| Sessions | Novel diagnostic techniques and forward modelling |
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