User profiles for Monica G. Bobra

Monica G. Bobra

Principal Data Scientist, State of California
Verified email at stanford.edu
Cited by 2964

The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches

MG Bobra, X Sun, JT Hoeksema, M Turmon, Y Liu… - Solar Physics, 2014 - Springer
A new data product from the Helioseismic and Magnetic Imager (HMI) onboard the Solar
Dynamics Observatory (SDO) called Space-weather HMI Active Region Patches (SHARPs) is …

Solar flare prediction using SDO/HMI vector magnetic field data with a machine-learning algorithm

MG Bobra, S Couvidat - The Astrophysical Journal, 2015 - iopscience.iop.org
We attempt to forecast M-and X-class solar flares using a machine-learning algorithm,
called support vector machine (SVM), and four years of data from the Solar Dynamics …

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 also …

Smarps and sharps: Two solar cycles of active region data

MG Bobra, PJ Wright, X Sun… - The Astrophysical …, 2021 - iopscience.iop.org
We present a new data product, called Space-Weather MDI Active Region Patches (SMARPs),
derived from maps of the solar surface magnetic field taken by the Michelson Doppler …

Why is the great solar active region 12192 flare-rich but CME-poor?

X Sun, MG Bobra, JT Hoeksema, Y Liu… - The Astrophysical …, 2015 - iopscience.iop.org
Solar active region (AR) 12192 of 2014 October hosts the largest sunspot group in 24 years.
It is the most prolific flaring site of Cycle 24 so far, but surprisingly produced no coronal …

The SunPy project: Open source development and status of the version 1.0 core package

WT Barnes, MG Bobra, SD Christe, N Freij… - The Astrophysical …, 2020 - iopscience.iop.org
The goal of the SunPy project is to facilitate and promote the use and development of
community-led, free, and open source data analysis software for solar physics based on the …

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

…, MCM Cheung, PJ Wright, MG Bobra… - 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 solar flares using CNN and LSTM on two solar cycles of active region data

Z Sun, MG Bobra, X Wang, Y Wang, H Sun… - The Astrophysical …, 2022 - iopscience.iop.org
We consider the flare prediction problem that distinguishes flare-imminent active regions that
produce an M-or X-class flare in the succeeding 24 hr, from quiet active regions that do not …

aiapy: A Python package for analyzing solar EUV image data from AIA

…, MG Bobra, P Boerner, G Chintzoglou… - Journal of Open …, 2020 - discovery.ucl.ac.uk
The Atmospheric Imaging Assembly (AIA; Lemen et al., 2012) instrument onboard the NASA
Solar Dynamics Observatory (SDO; Pesnell et al., 2012) spacecraft has observed the …

The stellar variability noise floor for transiting exoplanet photometry with PLATO

BM Morris, MG Bobra, E Agol, YJ Lee… - Monthly Notices of the …, 2020 - academic.oup.com
One of the main science motivations for the ESA PLAnetary Transit and Oscillations (PLATO)
mission is to measure exoplanet transit radii with 3 per cent precision. In addition to flares …