SMARPs and SHARPs: Two Solar Cycles of Active Region Data

Abstract

We present a new data product, called Space-Weather MDI Active Region Patches (SMARPs), derived from maps of the solar surface magnetic field taken by the Michelson Doppler Imager (MDI) aboard the Solar and Heliospheric Observatory (SoHO). Together with the Space-Weather HMI Active Region Patches (SHARPs), derived from similar maps taken by the Helioseismic and Magnetic Imager (HMI) aboard the Solar Dynamics Observatory, these data provide a continuous and seamless set of maps and keywords that describe every active region observed over the last two solar cycles, from 1996 to the present day. In this paper, we describe the SMARP data and compare it to the SHARP data.

11 pages, 3 figures, accepted in ApJS

References in corpus (9)

• Array Programming with NumPy
• The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs -- Space-weather HMI Active Region Patches
• The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Optimization of the Spectral Line Inversion Code
• A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission
• A Comprehensive Method of Estimating Electric Fields from Vector Magnetic Field and Doppler Measurements
• Non-neutralized electric currents in solar active regions and flare productivity
• Flux cancellation and the evolution of the eruptive filament of 2011 June 7
• Evaluating (and Improving) Estimates of the Solar Radial Magnetic Field Component from Line-of-Sight Magnetograms
• SDO/HMI survey of emerging active regions for helioseismology

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