activity
20022023
most citedCritical Science Plan for the Daniel K. Inouye Solar Telescope (DKIST)

110 citations · 729 across the 36 of their papers we have counts for

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11 papers · 1 filter

astro-ph.IM2023★ 3 cited

Magnetic Energy Powers the Corona: How We Can Understand its 3D Storage & Release

Amir Caspi, Daniel B. Seaton, Roberto Casini +12

The coronal magnetic field is the prime driver behind many as-yet unsolved mysteries: solar eruptions, coronal heating, and the solar wind, to name a few. It is, however, still poo…

astro-ph.IM2023★ 1 cited

Improving Multi-Dimensional Data Formats, Access, and Assimilation Tools for the Twenty-First Century

Daniel B. Seaton, Amir Caspi, Roberto Casini +12

Heliophysics image data largely relies on a forty-year-old ecosystem built on the venerable Flexible Image Transport System (FITS) data standard. While many in situ measurements us…

astro-ph.IM2023★ 5 cited

COMPLETE: A flagship mission for complete understanding of 3D coronal magnetic energy release

Amir Caspi, Daniel B. Seaton, Roberto Casini +12

COMPLETE is a flagship mission concept combining broadband spectroscopic imaging and comprehensive magnetography from multiple viewpoints around the Sun to enable tomographic recon…

astro-ph.IM2022★ 64 cited

The Visible Spectro-Polarimeter of the Daniel K. Inouye Solar Telescope

A. G. de Wijn, R. Casini, A. Carlile +7

The Daniel K. Inouye Solar Telescope (DKIST) Visible Spectro-Polarimeter (ViSP) is a traditional slit-scanning spectrograph, with the ability to observe solar regions up to a $120\…

astro-ph.IM2021

Ultraviolet Spectropolarimetry With Polstar: Hot Star Magnetospheres

M. E. Shultz, R. Casini, M. C. M. Cheung +17

Polstar is a proposed NASA MIDEX space telescope that will provide high-resolution, simultaneous full-Stokes spectropolarimetry in the far ultraviolet, together with low-resolution…

astro-ph.IM2021★ 7 cited

Convolutional Neural Networks and Stokes Response Functions

Rebecca Centeno, Natasha Flyer, Lipi Mukherjee +4

In this work, we study the information content learned by a convolutional neural network (CNN) when trained to carry out the inverse mapping between a database of synthetic Ca II i…