Jiajia Liu

Prof. Dr. Jiajia Liu


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2018 in The Astrophysical Journal
Verified
Journal Article
Open access
PDF file
XCX. Cheng
X. Cheng
YLY. Li
Y. Li
LWL. F. Wan
L. F. Wan
MDM. D. Ding
M. D. Ding
Pengfei ChenPengfei Chen
Pengfei Chen
JLJiajia Liu
Jiajia Liu
Magnetic reconnection is a fundamental physical process in various astrophysical, space, and laboratory environments. Many pieces of evidence for magnetic reconnection have been uncovered. However, its specific processes that could be fragmented and turbulent have been short of direct observational evidence. Here, we present observations of a super-hot current sheet during the SOL2017-09-10T X8.2-class solar flare that display the fragmented and turbulent nature of magnetic reconnection. As bilateral plasmas converge toward the current sheet, significant plasma heating and nonthermal motions are detected therein. Two oppositely directed outflow jets are intermittently expelled out of the fragmenting current sheet, whose intensity shows a power-law distribution in the spatial frequency domain. The intensity and velocity of the sunward outflow jets also display a power-law distribution in the temporal frequency domain. The length-to-width ratio of current sheet is estimated to be larger than the theoretical threshold and thus ensures its occurrence. The observations therefore suggest that fragmented and turbulent magnetic reconnection occurs in the long stretching current sheet.

15 June 2011 in Solar Physics
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Journal Article
Closed access
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BGBin Gui
Bin Gui
CSChenglong Shen
Chenglong Shen
YWYuming Wang
Yuming Wang
PYPinzhong Ye
Pinzhong Ye
JLJiajia Liu
Jiajia Liu
XZXuepu Zhao
Xuepu Zhao

19 April 2021 in Solar Physics
Verified
Journal Article
Open access
PDF file
DNDkist Project Nso
Dkist Project Nso
MRMark Rast
Mark Rast
TGthe DKIST Science Working Group
the DKIST Science Working Group
TCthe DKIST Critical Science Plan Community
the DKIST Critical Science Plan Community
NGNazaret Bello González
Nazaret Bello González
YWYi-Ming Wang
Yi-Ming Wang
The National Science Foundation’sDaniel K. Inouye Solar Telescope(DKIST) will revolutionize our ability to measure, understand, and model the basic physical processes that control the structure and dynamics of the Sun and its atmosphere. The first-light DKIST images, released publicly on 29 January 2020, only hint at the extraordinary capabilities that will accompany full commissioning of the five facility instruments. With this Critical Science Plan (CSP) we attempt to anticipate some of what those capabilities will enable, providing a snapshot of some of the scientific pursuits that the DKIST hopes to engage as start-of-operations nears. The work builds on the combined contributions of the DKIST Science Working Group (SWG) and CSP Community members, who generously shared their experiences, plans, knowledge, and dreams. Discussion is primarily focused on those issues to which DKIST will uniquely contribute.

7 October 2012 in Nature Physics
Verified
Journal Article
Closed access
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CSChenglong Shen
Chenglong Shen
YWYuming Wang
Yuming Wang
SWShui Wang
Shui Wang
YLYing Liu
Ying Liu
RLRui Liu
Rui Liu
ZZZhenjun Zhou
Zhenjun Zhou

10 March 2018 in The Astrophysical Journal
Verified
Journal Article
Closed access
PDF file
JLJiajia Liu
Jiajia Liu
YYYudong Ye
Yudong Ye
CSChenglong Shen
Chenglong Shen
YWYuming Wang
Yuming Wang
Robertus ErdelyiRobertus Erdelyi
Robertus Erdelyi
Coronal mass ejections (CMEs) are arguably the most violent eruptions in the solar system. CMEs can cause severe disturbances in interplanetary space and can even affect human activities in many aspects, causing damage to infrastructure and loss of revenue. Fast and accurate prediction of CME arrival time is vital to minimize the disruption that CMEs may cause when interacting with geospace. In this paper, we propose a new approach for partial-/full halo CME Arrival Time Prediction Using Machine learning Algorithms (CAT-PUMA). Via detailed analysis of the CME features and solar-wind parameters, we build a prediction engine taking advantage of 182 previously observed geo-effective partial-/full halo CMEs and using algorithms of the Support Vector Machine. We demonstrate that CAT-PUMA is accurate and fast. In particular, predictions made after applying CAT-PUMA to a test set unknown to the engine show a mean absolute prediction error of ∼5.9 hr within the CME arrival time, with 54% of the predictions having absolute errors less than 5.9 hr. Comparisons with other models reveal that CAT-PUMA has a more accurate prediction for 77% of the events investigated that can be carried out very quickly, i.e., within minutes of providing the necessary input parameters of a CME. A practical guide containing the CAT-PUMA engine and the source code of two examples are available in the Appendix, allowing the community to perform their own applications for prediction using CAT-PUMA.

5 August 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
JLJiajia Liu
Jiajia Liu
CNChris J. Nelson
Chris J. Nelson
BSBen Snow
Ben Snow
YWYuming Wang
Yuming Wang
Robertus ErdelyiRobertus Erdelyi
Robertus Erdelyi
The multi-million degree temperature increase from the middle to the upper solar atmosphere is one of the most fascinating puzzles in plasma-astrophysics. Although magnetic waves might transport enough energy from the photosphere to heat up the local chromosphere and corona, observationally validating their ubiquity has proved challenging. Here, we show observational evidence that ubiquitous Alfvén pulses are excited by prevalent intensity swirls in the solar photosphere. Correlation analysis between swirls detected at different heights in the solar atmosphere, together with realistic numerical simulations, show that these Alfvén pulses propagate upwards and reach chromospheric layers. We found that Alfvén pulses carry sufficient energy flux (1.9 to 7.7 kW m−2) to balance the local upper chromospheric energy losses (~0.1 kW m−2) in quiet regions. Whether this wave energy flux is actually dissipated in the chromosphere and can lead to heating that balances the losses is still an open question.