Snakes on a spaceship—An overview of Python in heliophysics

AG Burrell, A Halford, J Klenzing… - Journal of …, 2018 - Wiley Online Library
Computational analysis has become ubiquitous within the heliophysics community.
However, community standards for peer review of codes and analysis have lagged behind …

Magnetic connectivity of the ecliptic plane within 0.5 au: potential field source surface modeling of the first Parker solar probe encounter

ST Badman, SD Bale, JCM Oliveros… - The Astrophysical …, 2020 - iopscience.iop.org
We compare magnetic field measurements taken by the FIELDS instrument on board Parker
Solar Probe (PSP) during its first solar encounter to predictions obtained by potential field …

CME–CME interactions as sources of CME geoeffectiveness: The formation of the complex ejecta and intense geomagnetic storm in 2017 early September

C Scolini, E Chané, M Temmer… - The Astrophysical …, 2020 - iopscience.iop.org
Coronal mass ejections (CMEs) are the primary sources of intense disturbances at Earth,
where their geoeffectiveness is largely determined by their dynamic pressure and internal …

Multivariate time series dataset for space weather data analytics

RA Angryk, PC Martens, B Aydin, D Kempton… - Scientific data, 2020 - nature.com
We introduce and make openly accessible a comprehensive, multivariate time series
(MVTS) dataset extracted from solar photospheric vector magnetograms in Spaceweather …

Predicting solar flares using a long short-term memory network

H Liu, C Liu, JTL Wang, H Wang - The Astrophysical Journal, 2019 - iopscience.iop.org
We present a long short-term memory (LSTM) network for predicting whether an active
region (AR) would produce a ϒ-class flare within the next 24 hr. We consider three ϒ …

[HTML][HTML] A machine-learning data set prepared from the NASA solar dynamics observatory mission

R Galvez, DF Fouhey, M Jin, A Szenicer… - The Astrophysical …, 2019 - iopscience.iop.org
In this paper, we present a curated data set from the NASA Solar Dynamics Observatory
(SDO) mission in a format suitable for machine-learning research. Beginning from level 1 …

Predicting coronal mass ejections using machine learning methods

MG Bobra, S Ilonidis - The Astrophysical Journal, 2016 - iopscience.iop.org
Of all the activity observed on the Sun, two of the most energetic events are flares and
coronal mass ejections (CMEs). Usually, solar active regions that produce large flares will …

Flare prediction using photospheric and coronal image data

E Jonas, M Bobra, V Shankar, J Todd Hoeksema… - Solar Physics, 2018 - Springer
The precise physical process that triggers solar flares is not currently understood. Here we
attempt to capture the signature of this mechanism in solar-image data of various …

Magnetic structure and propagation of two interacting CMEs from the Sun to Saturn

E Palmerio, T Nieves‐Chinchilla… - Journal of …, 2021 - Wiley Online Library
One of the grand challenges in heliophysics is the characterization of coronal mass ejection
(CME) magnetic structure and evolution from eruption at the Sun through heliospheric …

JHelioviewer-Time-dependent 3D visualisation of solar and heliospheric data

D Müller, B Nicula, S Felix, F Verstringe… - Astronomy & …, 2017 - aanda.org
Context. Solar observatories are providing the world-wide community with a wealth of data,
covering wide time ranges (eg Solar and Heliospheric Observatory, SOHO), multiple …