Imaging exoplanets with coronagraphic instruments by Galicher, Raphaël, Mazoyer, Johan

“…We discuss the impact of wavefront aberrations on the performance of coronagraphs and how they induce stellar speckles in the scientific image. …”
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L1 and Off Sun‐Earth Line Visible‐Light Imaging of Earth‐Directed CMEs: An Analysis of Inconsistent Observations by Richard A. Harrison, Jackie A. Davies, David Barnes, Christian Möstl

“…A comparison is made of CME catalogs based on L1 coronagraph imagery and off Sun‐Earth line coronagraph and heliospheric imager observations, for the year 2011. …”
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An Empirical Relationship Between Coronal Density and Solar Wind Velocity in the Middle Corona With Applications to Space Weather by Kaine A. Bunting, Huw Morgan

“…A recent advancement is to use the distribution of electron density at a heliocentric distance of 8 R⊙, gained by applying coronal rotational tomography to coronagraph data, as an inner boundary condition for the time‐dependent Heliospheric Upwind eXtrapolation solar wind model. …”
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Automated Observations of the Earthshine by P. R. Goode, S. Shoumko, E. Pallé, P. Montañés-Rodríguez

“…These telescopes observe the earthshine to obtain a global mean terrestrial reflectance utilizing a coronagraph-like design for long exposures of the dark of the Moon and have internal moving parts in the optical train, which presented some design and control problems.…”
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Partially Erupted Prominence Material as a Diagnostic of Coronal Mass Ejection Trajectory by B. A. Hovis‐Afflerbach, B. J. Thompson, E. I. Mason

“…Using a method called persistence mapping, 304 Å images from the Solar Dynamics Observatory (SDO), and coronagraph images from the Solar and Heliospheric Observatory, we measure and compare the offsets in latitude of 20 CMEs and their respective prominences with respect to the source region. …”
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Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images by A. Hu, C. Shneider, A. Tiwari, E. Camporeale

“…The model is developed using an ensemble of Convolutional Neural Networks that are trained using Solar and Heliospheric Observatory (SoHO) images (Michelson Doppler Imager, Extreme ultraviolet Imaging Telescope, and Large Angle and Spectrometric Coronagraph). The relationship between the SoHO images and the solar wind has been investigated by many researchers, but these studies have not explicitly considered using SoHO images to predict the Dst index. …”
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A Machine Learning Approach to Predicting SEP Events Using Properties of Coronal Mass Ejections by Jesse Torres, Lulu Zhao, Philip K. Chan, Ming Zhang

“…We use the properties of coronal mass ejections (CMEs) archived in the Coordinated Data Analysis Workshops catalog based on SOHO Large Angle and Spectrometric Coronagraph Experiment observations. We also derive some features based on these properties associated with the CME, and analyze the contribution of each feature to the overall prediction. …”
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Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach by Julio Hernandez Camero, Lucie M. Green, Alex Piñel Neparidze

“…We present an automated algorithm for matching CMEs detected by the Large Angle Spectrometric Coronagraph with their source active regions, specifically Space Weather HMI Active Region Patches (SHARPs), between 2010 May and 2019 January. …”
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Evaluation of CME Arrival Prediction Using Ensemble Modeling Based on Heliospheric Imaging Observations by Tanja Amerstorfer, Jürgen Hinterreiter, Martin A. Reiss, Christian Möstl, Jackie A. Davies, Rachel L. Bailey, Andreas J. Weiss, Mateja Dumbović, Maike Bauer, Ute V. Amerstorfer, Richard A. Harrison

“…We believe that by exploiting this capability, instead of relying on coronagraph observations only, it is possible to improve today's CME arrival time predictions. …”
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Using Solar Orbiter as an Upstream Solar Wind Monitor for Real Time Space Weather Predictions by R. Laker, T. S. Horbury, H. O’Brien, E. J. Fauchon‐Jones, V. Angelini, N. Fargette, T. Amerstorfer, M. Bauer, C. Möstl, E. E. Davies, J. A. Davies, R. Harrison, D. Barnes, M. Dumbović

“…However, it is currently extremely challenging to accurately predict the arrival time and internal structure of a CME from coronagraph images alone. In this study, we take advantage of a rare opportunity to use Solar Orbiter, at 0.5 au upstream of Earth, as an upstream solar wind monitor. …”
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Parameter Distributions for the Drag‐Based Modeling of CME Propagation by Gianluca Napoletano, Raffaello Foldes, Enrico Camporeale, Giancarlo deGasperis, Luca Giovannelli, Evangelos Paouris, Ermanno Pietropaolo, Jannis Teunissen, Ajay Kumar Tiwari, Dario Del Moro

“…The aim of this work is to evaluate statistical distributions for these model parameters starting from a list of past CME‐ICME events. We employ LASCO coronagraph observations to measure initial CME position and speed, and in situ data to associate them with an arrival date and arrival speed. …”
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JWST/NIRCam 4–5 μm Imaging of the Giant Planet AF Lep b by Kyle Franson, William O. Balmer, Brendan P. Bowler, Laurent Pueyo, Yifan Zhou, Emily Rickman, Zhoujian Zhang, Sagnick Mukherjee, Tim D. Pearce, Daniella C. Bardalez Gagliuffi, Lauren I. Biddle, Timothy D. Brandt, Rachel Bowens-Rubin, Justin R. Crepp, James W. Davidson Jr., Jacqueline Faherty, Christian Ginski, Elliott P. Horch, Marvin Morgan, Caroline V. Morley, Marshall D. Perrin, Aniket Sanghi, Maïssa Salama, Christopher A. Theissen, Quang H. Tran, Trevor N. Wolf

“…At the planet’s separation of 320 mas during the observations, the coronagraphic throughput is ≈7%, demonstrating that NIRCam’s excellent sensitivity persists down to small separations. …”
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3D Nonequilibrium Ionization and Spectroscopic Modeling of Coronal Mass Ejections. I. Comparison with Hinode/EIS Observations by E. M. Wraback, E. Landi, W. B. Manchester, J. Szente

“…High-resolution EUV spectroscopy provides an informative diagnostic tool for the early evolution of coronal mass ejections (CMEs) since it can directly measure many physical properties of CME plasma close to the Sun that cannot be determined from white-light coronagraphs or narrowband imagers. The Hinode/EUV Imaging Spectrometer (EIS) captured a series of high-resolution EUV spectra of the 2008 April 9 event, also known as the “Cartwheel CME,” during its initial acceleration period. …”
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Time‐of‐Arrival of Coronal Mass Ejections: A Two‐Phase Kinematics Approach Based on Heliospheric Imaging Observations by Evangelos Paouris, Angelos Vourlidas

“…Therefore, many ToA forecasting algorithms rely on simple empirical relations to represent the interplanetary propagation phase using, mostly, kinematic information from coronagraphic observations below 30 solar radii (Rs) and a couple rather simplifying assumptions of constant direction and speed for the transient. …”
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Demise of Kreutz Sungrazing Comet C/2024 S1 (ATLAS) by David Jewitt, Jane Luu, Jing Li

“…We present observations from 0.9 to 0.4 au using the Nordic Optical Telescope showing that (1) nucleus disintegration was ongoing already at 0.7 au pre-perihelion, (2) the activity varied unpredictably with distance, and (3) the nucleus radius was  <600 m (red geometric albedo 0.04 assumed). We also use coronagraphic observations from the STEREO-A spacecraft to study C/2024 S1 at heliocentric distances  ≲ 0.1 au. …”
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OSPREI: A Coupled Approach to Modeling CME‐Driven Space Weather With Automatically Generated, User‐Friendly Outputs by C. Kay, M. L. Mays, Y. M. Collado‐Vega

“…Current CME‐related space weather predictions rely on information reconstructed from coronagraphs, sometimes from only a single viewpoint, to drive a simple interplanetary propagation model, which only gives the arrival time or limited additional information. …”
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