Deconvolution of SDO/HMI intensity and the vector magnetic field to achieve Hinode/SOT-SP data quality
The result's identifiers
Result code in 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>
Alternative codes found
RIV/00216208:11320/25:10510051
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Deconvolution of SDO/HMI intensity and the vector magnetic field to achieve Hinode/SOT-SP data quality
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
<a href="/en/project/GF23-07633K" target="_blank" >GF23-07633K: Unveiling the principles of solar magneto-convection</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Astronomy & Astrophysics
ISSN
0004-6361
e-ISSN
1432-0746
Volume of the periodical
697
Issue of the periodical within the volume
May
Country of publishing house
FR - FRANCE
Number of pages
15
Pages from-to
A28
UT code for WoS article
001482897500003
EID of the result in the Scopus database
2-s2.0-105004651056