Publications of Paul J. Wright

A list of publications authored or co-authored by Paul J. Wright, derived from the SAO/NASA Astrophysics Data System (ADS). The number in brackets after each title indicates the number of citations that the paper has received.

Orcid ID: 0000-0001-9021-611X

List of publications ordered by citations
Number of papers: 21 (refereed: 9)
No. of citations: 322
First author papers: 8 (refereed: 1)

2024

1. Virtual EVE: a Deep Learning Model for Solar Irradiance Prediction [0]
   Indaco, Manuel, Gass, Daniel, Fawcett, William James, Galvez, Richard, Wright, Paul J. & Muñoz-Jaramillo, Andrés, arXiv:2408.17430
2. Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms [7]
   Muñoz-Jaramillo, Andrés, Jungbluth, Anna, Gitiaux, Xavier, Wright, Paul J., Shneider, Carl, Maloney, Shane A., Baydin, Atılım Güneş, Gal, Yarin, Deudon, Michel & Kalaitzis, Freddie, ApJS, 271, 46
3. A Foundation Model for the Solar Dynamics Observatory [6]
   Walsh, James, Gass, Daniel G., Ramos Pollan, Raul, Wright, Paul J., Galvez, Richard, Kasmanoff, Noah, Naradowsky, Jason, Spalding, Anne, Parr, James & Güneş Baydin, Atılım, arXiv:2410.02530

2023

1. Science Platforms for Heliophysics Data Analysis [0]
   Bobra, Monica G., Barnes, Will T., Chen, Thomas Y., Cheung, Mark C. M., Hayes, Laura A., Ireland, Jack, Janvier, Miho, Kirk, Michael S. F., Mason, James P., Mumford, Stuart J. & Wright, Paul J., arXiv:2301.00878
2. ARCAFF: Active Region Classification and Flare Forecasting [0]
   Wright, Paul, Maloney, Shane, Murray, Sophie, Gallagher, Peter, Massone, Anna, Piana, Michele, Candiani, Valentina, Guastavino, Sabrina, Kiss, Tamas, Pierantoni, Gabriele, Terstyanszky, Gabor, Lovas, Robert & Farkas, Attila, Data, Analysis and Software in Heliophysics (DASH) 2023, p. 40
3. ARCAFF: Active Region Classification and Flare Forecasting [0]
   Wright, Paul, Maloney, Shane, Murray, Sophie, Gallagher, Peter, Massone, Anna, Piana, Michele, Candiani, Valentina, Guastavino, Sabrina, Kiss, Tamas, Pierantoni, Gabriele, Terstyanszky, Gabor, Lovas, Robert & Farkas, Attila, Data, Analysis and Software in Heliophysics (DASH) 2023, p. 36

2022

1. SDOVIS: A Vision Transformer Model for Solar Dynamics Observatory (SDO) Data [0]
   Wright, Paul J., Proceedings of the 2nd Machine Learning in Heliophysics, p. 41

2021

1. SMARPs and SHARPs: Two Solar Cycles of Active Region Data [32]
   Bobra, Monica G., Wright, Paul J., Sun, Xudong & Turmon, Michael J., ApJS, 256, 26

2020

1. aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA [70]
   Barnes, Will, Cheung, Mark, Bobra, Monica, Boerner, Paul, Chintzoglou, Georgios, Leonard, Drew, Mumford, Stuart, Padmanabhan, Nicholas, Shih, Albert, Shirman, Nina, Stansby, David & Wright, Paul, The Journal of Open Source Software, 5, 2801

2019

1. A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission [64]
   Galvez, Richard, Fouhey, David F., Jin, Meng, Szenicer, Alexandre, Muñoz-Jaramillo, Andrés, Cheung, Mark C. M., Wright, Paul J., Bobra, Monica G., Liu, Yang, Mason, James & Thomas, Rajat, ApJS, 242, 7
2. Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties [5]
   Gitiaux, Xavier, Maloney, Shane A., Jungbluth, Anna, Shneider, Carl, Wright, Paul J., Güneş Baydin, Atılım, Deudon, Michel, Gal, Yarin, Kalaitzis, Alfredo & Muñoz-Jaramillo, Andrés, arXiv:1911.01486
3. Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses [10]
   Jungbluth, Anna, Gitiaux, Xavier, Maloney, Shane A., Shneider, Carl, Wright, Paul J., Kalaitzis, Alfredo, Deudon, Michel, Güneș Baydin, Atılım, Gal, Yarin & Muñoz-Jaramillo, Andrés, arXiv:1911.01490
4. A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance [27]
   Szenicer, Alexandre, Fouhey, David F., Munoz-Jaramillo, Andres, Wright, Paul J., Thomas, Rajat, Galvez, Richard, Jin, Meng & Cheung, Mark C. M., Science Advances, 5, eaaw6548
5. A Machine Learning Dataset From the NASA Solar Dynamics Observatory [0]
   Wright, Paul, Machine Learning in Heliophysics 2019, p. 63
6. DeepEM: A Deep Learning Approach for DEM Inversion [0]
   Wright, Paul, Machine Learning in Heliophysics 2019, p. 22

2018

1. Solar EUV Spectral Irradiance by Deep Learning [0]
   Wright, Paul, Galvez, Richard, Szenicer, Alexandre, Thomas, Rajat, Jin, Meng, Fouhey, David, Cheung, Mark, Munoz-Jaramillo, Andres & Mackintosh, Graham, Catalyzing Solar Connections, p. 90

2017

1. Evidence of Significant Energy Input in the Late Phase of a Solar Flare from NuSTAR X-Ray Observations [18]
   Kuhar, Matej, Krucker, Säm, Hannah, Iain G., Glesener, Lindsay, Saint-Hilaire, Pascal, Grefenstette, Brian W., Hudson, Hugh S., White, Stephen M., Smith, David M., Marsh, Andrew J., Wright, Paul J., Boggs, Steven E., Christensen, Finn E., Craig, William W., Hailey, Charles J., Harrison, Fiona A., Stern, Daniel & Zhang, William W., ApJ, 835, 6
2. First NuSTAR Limits on Quiet Sun Hard X-Ray Transient Events [8]
   Marsh, Andrew J., Smith, David M., Glesener, Lindsay, Hannah, Iain G., Grefenstette, Brian W., Caspi, Amir, Krucker, Säm, Hudson, Hugh S., Madsen, Kristin K., White, Stephen M., Kuhar, Matej, Wright, Paul J., Boggs, Steven E., Christensen, Finn E., Craig, William W., Hailey, Charles J., Harrison, Fiona A., Stern, Daniel & Zhang, William W., ApJ, 849, 131
3. Observations of Reconnection Flows in a Flare on the Solar Disk [11]
   Wang, Juntao, Simões, P. J. A., Jeffrey, N. L. S., Fletcher, L., Wright, P. J. & Hannah, I. G., ApJ, 847, L1
4. Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA [64]
   Wright, Paul J., Hannah, Iain G., Grefenstette, Brian W., Glesener, Lindsay, Krucker, Säm, Hudson, Hugh S., Smith, David M., Marsh, Andrew J., White, Stephen M. & Kuhar, Matej, ApJ, 844, 132

2016

1. Thermal Time Evolution of Non-Flaring Active Regions Determined by SDO/AIA [0]
   Wright, Paul J., Hannah, Iain G., Viall, Nicholee M., Ireland, Jack & Bradshaw, Stephen J., SDO 2016: Unraveling the Sun's Complexity (Editors: Pesnell, W. Dean & Thompson, Barbara), p. 34