Publications of Paul J. Wright ordered by citations

A list of publications authored or co-authored by Paul J. Wright, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations.

Orcid ID: 0000-0001-9021-611X

70	aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA Barnes, Will, Cheung, Mark, Bobra, Monica, Boerner, Paul, Chintzoglou, Georgios, Leonard, Drew, Mumford, Stuart, Padmanabhan, Nicholas, Shih, Albert, Shirman, Nina, Stansby, David & Wright, Paul, 2020, The Journal of Open Source Software, 5, 2801
64	A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission 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, 2019, ApJS, 242, 7
64	Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA 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, 2017, ApJ, 844, 132
32	SMARPs and SHARPs: Two Solar Cycles of Active Region Data Bobra, Monica G., Wright, Paul J., Sun, Xudong & Turmon, Michael J., 2021, ApJS, 256, 26
27	A deep learning virtual instrument for monitoring extreme UV solar spectral irradiance Szenicer, Alexandre, Fouhey, David F., Munoz-Jaramillo, Andres, Wright, Paul J., Thomas, Rajat, Galvez, Richard, Jin, Meng & Cheung, Mark C. M., 2019, Science Advances, 5, eaaw6548
18	Evidence of Significant Energy Input in the Late Phase of a Solar Flare from NuSTAR X-Ray Observations 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., 2017, ApJ, 835, 6
11	Observations of Reconnection Flows in a Flare on the Solar Disk Wang, Juntao, Simões, P. J. A., Jeffrey, N. L. S., Fletcher, L., Wright, P. J. & Hannah, I. G., 2017, ApJ, 847, L1
10	Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses Jungbluth, Anna, Gitiaux, Xavier, Maloney, Shane A., Shneider, Carl, Wright, Paul J., Kalaitzis, Alfredo, Deudon, Michel, Güneș Baydin, Atılım, Gal, Yarin & Muñoz-Jaramillo, Andrés, 2019, arXiv:1911.01490
8	First NuSTAR Limits on Quiet Sun Hard X-Ray Transient Events 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., 2017, ApJ, 849, 131
7	Physically Motivated Deep Learning to Superresolve and Cross Calibrate Solar Magnetograms Muñoz-Jaramillo, Andrés, Jungbluth, Anna, Gitiaux, Xavier, Wright, Paul J., Shneider, Carl, Maloney, Shane A., Baydin, Atılım Güneş, Gal, Yarin, Deudon, Michel & Kalaitzis, Freddie, 2024, ApJS, 271, 46
6	A Foundation Model for the Solar Dynamics Observatory Walsh, James, Gass, Daniel G., Ramos Pollan, Raul, Wright, Paul J., Galvez, Richard, Kasmanoff, Noah, Naradowsky, Jason, Spalding, Anne, Parr, James & Güneş Baydin, Atılım, 2024, arXiv:2410.02530
5	Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties Gitiaux, Xavier, Maloney, Shane A., Jungbluth, Anna, Shneider, Carl, Wright, Paul J., Güneş Baydin, Atılım, Deudon, Michel, Gal, Yarin, Kalaitzis, Alfredo & Muñoz-Jaramillo, Andrés, 2019, arXiv:1911.01486
0	Solar EUV Spectral Irradiance by Deep Learning Wright, Paul, Galvez, Richard, Szenicer, Alexandre, Thomas, Rajat, Jin, Meng, Fouhey, David, Cheung, Mark, Munoz-Jaramillo, Andres & Mackintosh, Graham, 2018, Catalyzing Solar Connections, p. 90
0	DeepEM: A Deep Learning Approach for DEM Inversion Wright, Paul, 2019, Machine Learning in Heliophysics 2019, p. 22
0	A Machine Learning Dataset From the NASA Solar Dynamics Observatory Wright, Paul, 2019, Machine Learning in Heliophysics 2019, p. 63
0	SDOVIS: A Vision Transformer Model for Solar Dynamics Observatory (SDO) Data Wright, Paul J., 2022, Proceedings of the 2nd Machine Learning in Heliophysics, p. 41
0	Science Platforms for Heliophysics Data Analysis 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., 2023, arXiv:2301.00878
0	ARCAFF: Active Region Classification and Flare Forecasting 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, 2023, Data, Analysis and Software in Heliophysics (DASH) 2023, p. 36
0	ARCAFF: Active Region Classification and Flare Forecasting 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, 2023, Data, Analysis and Software in Heliophysics (DASH) 2023, p. 40
0	Virtual EVE: a Deep Learning Model for Solar Irradiance Prediction Indaco, Manuel, Gass, Daniel, Fawcett, William James, Galvez, Richard, Wright, Paul J. & Muñoz-Jaramillo, Andrés, 2024, arXiv:2408.17430
0	Thermal Time Evolution of Non-Flaring Active Regions Determined by SDO/AIA Wright, Paul J., Hannah, Iain G., Viall, Nicholee M., Ireland, Jack & Bradshaw, Stephen J., 2016, SDO 2016: Unraveling the Sun's Complexity (Editors: Pesnell, W. Dean & Thompson, Barbara), p. 34