Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310995402> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4310995402 abstract "Abstract Solar activity is often caused by the evolution of solar magnetic fields. Magnetic field parameters derived from photospheric vector magnetograms of solar active regions (ARs) have been used to analyze and forecast eruptive events such as solar flares and coronal mass ejections. Unfortunately, the most recent solar cycle 24 was relatively weak with few large flares, though it is the only solar cycle in which consistent time-sequence vector magnetograms have been available through the Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO) since its launch in 2010. In this work, we look into another major instrument, namely the Michelson Doppler Imager (MDI) on board the Solar and Heliospheric Observatory (SOHO) from 1996 to 2010. The data archive of SOHO/MDI covers more active solar cycle 23 with many large flares. However, SOHO/MDI only has line-of-sight (LOS) magnetograms. We propose a new deep learning method, named MagNet, to learn from combined LOS magnetograms, Bx and By taken by SDO/HMI along with Halpha observations collected by Big Bear Solar Observatory (BBSO), and to generate synthetic vector components Bx' and By' of ARs. These generated vector components, together with observational LOS data, would form vector magnetograms for SOHO/MDI. In this way, we can expand the availability of vector magnetograms to the period from 1996 to present. Experimental results demonstrate the good performance of the MagNet method. To our knowledge, this is the first time that deep learning has been used to generate photospheric vector magnetograms of ARs for SOHO/MDI using SDO/HMI and Halpha data." @default.
- W4310995402 created "2022-12-22" @default.
- W4310995402 creator A5001819562 @default.
- W4310995402 creator A5013145357 @default.
- W4310995402 creator A5023215661 @default.
- W4310995402 creator A5033140103 @default.
- W4310995402 creator A5036881486 @default.
- W4310995402 creator A5037831830 @default.
- W4310995402 creator A5052926836 @default.
- W4310995402 creator A5061307319 @default.
- W4310995402 creator A5075080019 @default.
- W4310995402 date "2022-11-30" @default.
- W4310995402 modified "2023-10-14" @default.
- W4310995402 title "Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning" @default.
- W4310995402 doi "https://doi.org/10.21203/rs.3.rs-2318265/v1" @default.
- W4310995402 hasPublicationYear "2022" @default.
- W4310995402 type Work @default.
- W4310995402 citedByCount "1" @default.
- W4310995402 countsByYear W43109954022023 @default.
- W4310995402 crossrefType "posted-content" @default.
- W4310995402 hasAuthorship W4310995402A5001819562 @default.
- W4310995402 hasAuthorship W4310995402A5013145357 @default.
- W4310995402 hasAuthorship W4310995402A5023215661 @default.
- W4310995402 hasAuthorship W4310995402A5033140103 @default.
- W4310995402 hasAuthorship W4310995402A5036881486 @default.
- W4310995402 hasAuthorship W4310995402A5037831830 @default.
- W4310995402 hasAuthorship W4310995402A5052926836 @default.
- W4310995402 hasAuthorship W4310995402A5061307319 @default.
- W4310995402 hasAuthorship W4310995402A5075080019 @default.
- W4310995402 hasBestOaLocation W43109954021 @default.
- W4310995402 hasConcept C108411613 @default.
- W4310995402 hasConcept C115260700 @default.
- W4310995402 hasConcept C121332964 @default.
- W4310995402 hasConcept C127313418 @default.
- W4310995402 hasConcept C1276947 @default.
- W4310995402 hasConcept C164495641 @default.
- W4310995402 hasConcept C172600038 @default.
- W4310995402 hasConcept C2776779350 @default.
- W4310995402 hasConcept C2779900269 @default.
- W4310995402 hasConcept C2779919027 @default.
- W4310995402 hasConcept C2781008069 @default.
- W4310995402 hasConcept C44870925 @default.
- W4310995402 hasConcept C62520636 @default.
- W4310995402 hasConcept C62649853 @default.
- W4310995402 hasConcept C72886185 @default.
- W4310995402 hasConcept C87355193 @default.
- W4310995402 hasConceptScore W4310995402C108411613 @default.
- W4310995402 hasConceptScore W4310995402C115260700 @default.
- W4310995402 hasConceptScore W4310995402C121332964 @default.
- W4310995402 hasConceptScore W4310995402C127313418 @default.
- W4310995402 hasConceptScore W4310995402C1276947 @default.
- W4310995402 hasConceptScore W4310995402C164495641 @default.
- W4310995402 hasConceptScore W4310995402C172600038 @default.
- W4310995402 hasConceptScore W4310995402C2776779350 @default.
- W4310995402 hasConceptScore W4310995402C2779900269 @default.
- W4310995402 hasConceptScore W4310995402C2779919027 @default.
- W4310995402 hasConceptScore W4310995402C2781008069 @default.
- W4310995402 hasConceptScore W4310995402C44870925 @default.
- W4310995402 hasConceptScore W4310995402C62520636 @default.
- W4310995402 hasConceptScore W4310995402C62649853 @default.
- W4310995402 hasConceptScore W4310995402C72886185 @default.
- W4310995402 hasConceptScore W4310995402C87355193 @default.
- W4310995402 hasLocation W43109954021 @default.
- W4310995402 hasOpenAccess W4310995402 @default.
- W4310995402 hasPrimaryLocation W43109954021 @default.
- W4310995402 hasRelatedWork W1664455848 @default.
- W4310995402 hasRelatedWork W2025926749 @default.
- W4310995402 hasRelatedWork W2064668141 @default.
- W4310995402 hasRelatedWork W2090382373 @default.
- W4310995402 hasRelatedWork W2170518318 @default.
- W4310995402 hasRelatedWork W3023470461 @default.
- W4310995402 hasRelatedWork W3082772453 @default.
- W4310995402 hasRelatedWork W4210996315 @default.
- W4310995402 hasRelatedWork W4253062622 @default.
- W4310995402 hasRelatedWork W600936685 @default.
- W4310995402 isParatext "false" @default.
- W4310995402 isRetracted "false" @default.
- W4310995402 workType "article" @default.