Search Results for author: Meng Jin

Found 8 papers, 5 papers with code

Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation

1 code implementation19 Aug 2022 Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin

The Solar Dynamics Observatory (SDO), a NASA multi-spectral decade-long mission that has been daily producing terabytes of observational data from the Sun, has been recently used as a use-case to demonstrate the potential of machine learning methodologies and to pave the way for future deep-space mission planning.

Decoder Image-to-Image Translation +2

Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning

1 code implementation27 Dec 2020 Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin

Our approach establishes the framework for a novel technique to calibrate EUV instruments and advance our understanding of the cross-channel relation between different EUV channels.

BIG-bench Machine Learning Camera Calibration

Predicting solar flares with machine learning: investigating solar cycle dependence

1 code implementation1 Dec 2019 Xiantong Wang, Yang Chen, Gabor Toth, Ward B. Manchester, Tamas I. Gombosi, Alfred O. Hero, Zhenbang Jiao, Hu Sun, Meng Jin, Yang Liu

A deep learning network, Long-Short Term Memory (LSTM) network, is used in this work to predict whether the maximum flare class an active region (AR) will produce in the next 24 hours is class $\Gamma$.

Solar and Stellar Astrophysics

Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona

1 code implementation10 Nov 2019 Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

The synergy between machine learning and this enormous amount of data has the potential, still largely unexploited, to advance our understanding of the Sun and extend the capabilities of heliophysics missions.

Decoder Image-to-Image Translation +2

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning

2 code implementations10 Nov 2019 Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

As a part of NASA's Heliophysics System Observatory (HSO) fleet of satellites, the Solar Dynamics Observatory (SDO) has continuously monitored the Sun since2010.

Deep Learning

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