Deconvolution of SDO/HMI intensity and the vector magnetic field to achieve Hinode/SOT-SP data quality
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F25%3A00619766" target="_blank" >RIV/67985815:_____/25:00619766 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11320/25:10510051
Výsledek na webu
<a href="https://hdl.handle.net/11104/0366407" target="_blank" >https://hdl.handle.net/11104/0366407</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/0004-6361/202553918" target="_blank" >10.1051/0004-6361/202553918</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Deconvolution of SDO/HMI intensity and the vector magnetic field to achieve Hinode/SOT-SP data quality
Popis výsledku v původním jazyce
The SDO/HMI instrument provides continuous full-disk observations with a high temporal cadence but moderate spatial resolution. In contrast, Hinode/SOT-SP observes the Sun with high spatial resolution but at a low temporal cadence and within a limited field of view. Aims. This study seeks to enhance SDO/HMI observations by applying deconvolution techniques, specifically to the continuum intensity and full vector magnetic field in a local reference frame. Hinode datum, used as a training set, helps the model improve the resolution of HMI data to a Hinode-like level. Methods. We use deep residual convolutional neural networks trained on HMI-like and SOT-SP observations. The HMI-like observations utilise the SOT-SP observations and the exact HMI point-spread function and noise realisation. Results. The trained model successfully deconvolves both the intensity and the vector magnetic field. The model predictions and SOT-SP observations show the same level of detail. The root mean square difference between the two is 0.02 quiet-Sun level for intensity and between 40 and 45 G for vector magnetic field that is below the disambiguation noise level. Conclusions. Our model effectively addresses disambiguation noise and enables the deconvolution of the full vector magnetic field. Additionally, the modelled deconvolution provides enhanced results compared to the standard HMI pipeline products.
Název v anglickém jazyce
Deconvolution of SDO/HMI intensity and the vector magnetic field to achieve Hinode/SOT-SP data quality
Popis výsledku anglicky
The SDO/HMI instrument provides continuous full-disk observations with a high temporal cadence but moderate spatial resolution. In contrast, Hinode/SOT-SP observes the Sun with high spatial resolution but at a low temporal cadence and within a limited field of view. Aims. This study seeks to enhance SDO/HMI observations by applying deconvolution techniques, specifically to the continuum intensity and full vector magnetic field in a local reference frame. Hinode datum, used as a training set, helps the model improve the resolution of HMI data to a Hinode-like level. Methods. We use deep residual convolutional neural networks trained on HMI-like and SOT-SP observations. The HMI-like observations utilise the SOT-SP observations and the exact HMI point-spread function and noise realisation. Results. The trained model successfully deconvolves both the intensity and the vector magnetic field. The model predictions and SOT-SP observations show the same level of detail. The root mean square difference between the two is 0.02 quiet-Sun level for intensity and between 40 and 45 G for vector magnetic field that is below the disambiguation noise level. Conclusions. Our model effectively addresses disambiguation noise and enables the deconvolution of the full vector magnetic field. Additionally, the modelled deconvolution provides enhanced results compared to the standard HMI pipeline products.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10308 - Astronomy (including astrophysics,space science)
Návaznosti výsledku
Projekt
<a href="/cs/project/GF23-07633K" target="_blank" >GF23-07633K: Odhalování principů konvekce v magnetických polích Slunce</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Astronomy & Astrophysics
ISSN
0004-6361
e-ISSN
1432-0746
Svazek periodika
697
Číslo periodika v rámci svazku
May
Stát vydavatele periodika
FR - Francouzská republika
Počet stran výsledku
15
Strana od-do
A28
Kód UT WoS článku
001482897500003
EID výsledku v databázi Scopus
2-s2.0-105004651056