Publications of Andres Munoz-Jaramillo

A list of publications authored or co-authored by Andres Munoz-Jaramillo, 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: 0000-0002-4716-0840

List of publications ordered by citations
Number of papers: 42 (refereed: 36)
No. of citations: 1337
First author papers: 12 (refereed: 11)

2025

  1. The Struggles of Developing an Operational Machine Learning Model for Flare Forecasting: Recasting the Problem as a Regression onto X-Ray Flux [2]
    van der Sande, Kiera & Muñoz-Jaramillo, Andrés, ApJ, 984, 87

2024

  1. MEMPSEP-I. Forecasting the Probability of Solar Energetic Particle Event Occurrence Using a Multivariate Ensemble of Convolutional Neural Networks [6]
    Chatterjee, Subhamoy, Dayeh, Maher A., Muñoz-Jaramillo, Andrés., Bain, Hazel M., Moreland, Kimberly & Hart, Samuel, Space Weather, 22, e2023SW003568
  2. MEMPSEP-II. Forecasting the Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach [4]
    Dayeh, Maher A., Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés., Moreland, Kimberly, Bain, Hazel M. & Hart, Samuel T., Space Weather, 22, e2023SW003697
  3. SuNeRF: 3D Reconstruction of the Solar EUV Corona Using Neural Radiance Fields [9]
    Jarolim, Robert, Tremblay, Benoit, Muñoz-Jaramillo, Andrés, Bintsi, Kyriaki-Margarita, Jungbluth, Anna, Santos, Miraflor, Vourlidas, Angelos, Mason, James P., Sundaresan, Sairam, Downs, Cooper & Caplan, Ronald M., ApJ, 961, L31
  4. MEMPSEP-III. A Machine Learning-Oriented Multivariate Data Set for Forecasting the Occurrence and Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach [4]
    Moreland, Kimberly, Dayeh, Maher A., Bain, Hazel M., Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés. & Hart, Samuel T., Space Weather, 22, e2023SW003765
  5. 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

2023

  1. Homogenizing SOHO/EIT and SDO/AIA 171 Å Images: A Deep-learning Approach [4]
    Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés, Dayeh, Maher A., Bain, Hazel M. & Moreland, Kimberly, ApJS, 268, 33
  2. Recalibration of the Sunspot-Number: Status Report [68]
    Clette, F., Lefèvre, L., Chatzistergos, T., Hayakawa, H., Carrasco, V. M. S., Arlt, R., Cliver, E. W., Dudok de Wit, T., Friedli, T. K., Karachik, N., Kopp, G., Lockwood, M., Mathieu, S., Muñoz-Jaramillo, A., Owens, M., Pesnell, D., Pevtsov, A., Svalgaard, L., Usoskin, I. G., van Driel-Gesztelyi, L. & Vaquero, J. M., Solar Physics, 298, 44
  3. Complex 33-beam simulated galactic cosmic radiation exposure impacts cognitive function and prefrontal cortex neurotransmitter networks in male mice [5]
    Desai, Rajeev I., Kangas, Brian D., Luc, Oanh T., Solakidou, Eleana, Smith, Evan C., Dawes, Monica H., Ma, Xiaoyu, Makriyannis, Alexandros, Chatterjee, Subhamoy, Dayeh, Maher A., Muñoz-Jaramillo, Andrés, Desai, Mihir I. & Limoli, Charles L., Nature Communications, 14, 7779
  4. Sun Neural Radiance Fields (SuNeRFs): From Images to 4D Models of the Solar Atmosphere [0]
    Tremblay, Benoit, Jarolim, Robert, Munoz-Jaramillo, Andrés, Bintsi, Kyriaki-Margarita, Jungbluth, Anna, Santos, Miraflor, Vourlidas, Angelos, Mason, James P., Sundaresan, Sairam, Downs, Cooper & Caplan, Ronald M., Data, Analysis and Software in Heliophysics (DASH) 2023, p. 21
  5. Probabilistic Solar Flare Forecasting Using Historical Magnetogram Data [5]
    van der Sande, Kiera, Muñoz-Jaramillo, Andrés & Chatterjee, Subhamoy, ApJ, 955, 148

2022

  1. Revisiting Christoph Scheiner's Sunspot Records: A New Perspective on Solar Activity of the Early Telescopic Era [15]
    Carrasco, V. M. S., Muñoz-Jaramillo, A., Gallego, M. C. & Vaquero, J. M., ApJ, 927, 193
  2. Efficient labelling of solar flux evolution videos by a deep learning model [4]
    Chatterjee, Subhamoy, Muñoz-Jaramillo, Andrés & Lamb, Derek A., Nature Astronomy, 6, 796
  3. Comparing the Performance of a Solar Wind Model from the Sun to 1 au Using Real and Synthetic Magnetograms [2]
    Henadhira Arachchige, Kalpa, Cohen, Ofer, Munoz-Jaramillo, Andres & Yeates, Anthony R., ApJ, 938, 39
  4. Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures [3]
    Lamdouar, Hala, Sundaresan, Sairam, Jungbluth, Anna, Boro Saikia, Sudeshna, Camarata, Amanda Joy, Miles, Nathan, Scoczynski, Marcella, Stone, Mavis, Sarah, Anthony, Muñoz-Jaramillo, Andrés, Narock, Ayris & Szabo, Adam, arXiv:2203.01184

2021

  1. Sunspot Catalog (1921-1935) and Area Series (1886-1940) from the Stonyhurst College Observatory [2]
    Carrasco, V. M. S., Muñoz-Jaramillo, A., Nogales, J. M., Gallego, M. C. & Vaquero, J. M., ApJS, 256, 38
  2. Deciphering the Deep Origin of Active Regions via Analysis of Magnetograms [17]
    Dikpati, Mausumi, McIntosh, Scott W., Chatterjee, Subhamoy, Norton, Aimee A., Ambroz, Pavel, Gilman, Peter A., Jain, Kiran & Munoz-Jaramillo, Andres, ApJ, 910, 91
  3. Improved Measurements of the Sun's Meridional Flow and Torsional Oscillation from Correlation Tracking on MDI and HMI Magnetograms [15]
    Mahajan, Sushant S., Hathaway, David H., Muñoz-Jaramillo, Andrés & Martens, Petrus C., ApJ, 917, 100
  4. Solar Anti-Hale Bipolar Magnetic Regions: A Distinct Population with Systematic Properties [24]
    Muñoz-Jaramillo, Andrés, Navarrete, Benjamín & Campusano, Luis E., ApJ, 920, 31

2020

  1. RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks [1]
    Johnson, J. Emmanuel, Sundaresan, Sairam, Daylan, Tansu, Gavilan, Lisseth, Giles, Daniel K., Ishitani Silva, Stela, Jungbluth, Anna, Morris, Brett & Muñoz-Jaramillo, Andrés, arXiv:2012.01985

2019

  1. Sunspot Characteristics at the Onset of the Maunder Minimum Based on the Observations of Hevelius [26]
    Carrasco, V. M. S., Vaquero, J. M., Gallego, M. C., Muñoz-Jaramillo, A., de Toma, G., Galaviz, P., Arlt, R., Senthamizh Pavai, V., Sánchez-Bajo, F., Villalba Álvarez, J. & Gómez, J. M., ApJ, 886, 18
  2. 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
  3. 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
  4. 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
  5. Visualization of the challenges and limitations of the long-term sunspot number record [99]
    Muñoz-Jaramillo, Andrés & Vaquero, José M., Nature Astronomy, 3, 205
  6. 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
  7. The need for active region disconnection in 3D kinematic dynamo simulations [10]
    Whitbread, T., Yeates, A. R. & Muñoz-Jaramillo, A., A&A, 627, A168

2018

  1. How Many Active Regions Are Necessary to Predict the Solar Dipole Moment? [32]
    Whitbread, T., Yeates, A. R. & Muñoz-Jaramillo, A., ApJ, 863, 116

2017

  1. Parameter optimization for surface flux transport models [37]
    Whitbread, T., Yeates, A. R., Muñoz-Jaramillo, A. & Petrie, G. J. D., A&A, 607, A76

2016

  1. The best of both worlds: Using automatic detection and limited human supervision to create a homogenous magnetic catalog spanning four solar cycles [1]
    Muñoz-Jaramillo, Andres, Werginz, Zachary, Vargas-Acosta, Juan Pablo, DeLuca, Michael, Windmueller, J. C., Zhang, Jie, Longcope, Dana, Lamb, Derek, DeForest, Craig, Vargas-Domínguez, Santiago, Harvey, Jack & Martens, Piet, 2016 IEEE International Conference on Big Data (Big Data, p. 3194

2015

  1. The Minimum of Solar Cycle 23: As Deep as It Could Be? [19]
    Muñoz-Jaramillo, Andrés, Senkpeil, Ryan R., Longcope, Dana W., Tlatov, Andrey G., Pevtsov, Alexei A., Balmaceda, Laura A., DeLuca, Edward E. & Martens, Petrus C. H., ApJ, 804, 68
  2. Small-scale and Global Dynamos and the Area and Flux Distributions of Active Regions, Sunspot Groups, and Sunspots: A Multi-database Study [66]
    Muñoz-Jaramillo, Andrés, Senkpeil, Ryan R., Windmueller, John C., Amouzou, Ernest C., Longcope, Dana W., Tlatov, Andrey G., Nagovitsyn, Yury A., Pevtsov, Alexei A., Chapman, Gary A., Cookson, Angela M., Yeates, Anthony R., Watson, Fraser T., Balmaceda, Laura A., DeLuca, Edward E. & Martens, Petrus C. H., ApJ, 800, 48

2014

  1. Polar Network Index as a Magnetic Proxy for the Solar Cycle Studies [48]
    Priyal, Muthu, Banerjee, Dipankar, Karak, Bidya Binay, Muñoz-Jaramillo, Andrés, Ravindra, B., Choudhuri, Arnab Rai & Singh, Jagdev, ApJ, 793, L4

2013

  1. Using the Dipolar and Quadrupolar Moments to Improve Solar-Cycle Predictions Based on the Polar Magnetic Fields [37]
    Muñoz-Jaramillo, Andrés, Balmaceda, Laura A. & DeLuca, Edward E., Physical Review Letters, 111, 041106
  2. Solar Cycle Propagation, Memory, and Prediction: Insights from a Century of Magnetic Proxies [148]
    Muñoz-Jaramillo, Andrés, Dasi-Espuig, María, Balmaceda, Laura A. & DeLuca, Edward E., ApJ, 767, L25
  3. Kinematic active region formation in a three-dimensional solar dynamo model [58]
    Yeates, A. R. & Muñoz-Jaramillo, A., MNRAS, 436, 3366

2012

  1. Calibrating 100 Years of Polar Faculae Measurements: Implications for the Evolution of the Heliospheric Magnetic Field [112]
    Muñoz-Jaramillo, Andrés, Sheeley, Neil R., Zhang, Jie & DeLuca, Edward E., ApJ, 753, 146
  2. All Quiet on the Solar Front: Origin and Heliospheric Consequences of the Unusual Minimum of Solar Cycle 23 [0]
    Nandy, D., Muñoz-Jaramillo, A. & Martens, P. C. H., Sun and Geosphere, 7, 17

2011

  1. Magnetic Quenching of Turbulent Diffusivity: Reconciling Mixing-length Theory Estimates with Kinematic Dynamo Models of the Solar Cycle [72]
    Muñoz-Jaramillo, Andrés, Nandy, Dibyendu & Martens, Petrus C. H., ApJ, 727, L23
  2. The unusual minimum of sunspot cycle 23 caused by meridional plasma flow variations [142]
    Nandy, Dibyendu, Muñoz-Jaramillo, Andrés & Martens, Petrus C. H., Nature, 471, 80

2010

  1. A Double-ring Algorithm for Modeling Solar Active Regions: Unifying Kinematic Dynamo Models and Surface Flux-transport Simulations [71]
    Muñoz-Jaramillo, Andrés, Nandy, Dibyendu, Martens, Petrus C. H. & Yeates, Anthony R., ApJ, 720, L20

2009

  1. Helioseismic Data Inclusion in Solar Dynamo Models [56]
    Muñoz-Jaramillo, Andrés, Nandy, Dibyendu & Martens, Petrus C. H., ApJ, 698, 461

Created on Sun Mar 8 04:26:15 2026.