PUBLICATIONS
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First author
Identification of tidal features in deep optical galaxy images with convolutional neural networks
Domínguez Sánchez, H.; Martin, G.; Damjanov, I.; Buitrago, F.; Huertas-Company, M.; Bottrell, C.; Bernardi, M.; Knapen, J. H.; Vega-Ferrero, J.; Hausen, R.; Kado-Fong, E.; Población-Criado, D.; Souchereau, H.; Leste, O. K.; Robertson, B.; Sahelices, B.; Johnston, K. V.; 2023, MNRAS, 521, Issue 3, pp.3861-3872
Revisiting the SFR-Mass relation at z=0 with detailed deep learning based morphologies
Domínguez Sánchez, H.; Bernardi, M., Huertas-Company, M.; arXiv:2302.12265
Galaxy properties as revealed by MaNGA - III. Kinematic profiles and stellar population gradients in S0s
Domínguez Sánchez, H.; Bernardi, M.; Nikakhtar, F.; Margalef-Bentabol, B.; Sheth, R. K.; 2020; MNRAS, 495, Issue 3, pp.2894-2908
Domínguez Sánchez, H.; Bernardi, M.; Brownstein, J. R.; Drory, N.; Sheth, R. K.; 2019, MNRAS, 489, Issue 4, p.5612-5632
Transfer learning for galaxy morphology from one survey to another
Domínguez Sánchez, H.; Huertas Company, M.; Bernardi, M. et al.; 2019; MNRAS, 484, Issue 1, p.93-100
Improving galaxy morphologies for SDSS with Deep Learning
Domínguez Sánchez, H.; Huertas Company, M.; Bernardi, M. et al.; 2018; MNRAS, 476, Issue 3, p.3661-3676
Pathways to quiescence: SHARDS view on the Star Formation Histories of massive quiescent galaxies at 1.0 < z < 1.5
Domínguez Sánchez, H.; Pérez González, P.G. et al.; 2016; MNRAS, 457, Issue 4, p.3743-3768
Herschel FIR counterparts of SDSS galaxies: Analysis of commonly used Star Formation Rate Estimates
Domínguez Sánchez, H., Bongiovani, A. et al.; 2014; MNRAS, 441, Issue 1, p.2-23
Comparison of Star Formation Rates from Halpha and infrared luminosities as seen by Herschel
Domínguez Sánchez, H.; Mignoli, M. et al.; 2012; MNRAS, 426, Issue 1, pp. 330-341
The evolution of quiescent galaxies at high z (z > 1.4)
Domínguez Sánchez, H., Pozzi F.; Gruppioni, C., Cimatti, A. et al.; 2011; MNRAS, 417, Issue 2, pp. 900-915
SECOND author
Stellar population analysis of MaNGA early-type galaxies: IMF dependence and systematic effects
Bernardi, M.; Domínguez Sánchez, H.; Sheth, R. K.; Brownstein, J. R.; Lane, R. R; 2023 MNRAS 518, Issue 3, pp.3494-3508
Lessons learned from the two largest Galaxy morphological classification catalogues built by convolutional neural network
Cheng, T. -Y.; Domínguez Sánchez, H.; Vega-Ferrero, J. et al.; MNRAS, 518, Issue 2, pp.2794-2809
The Origin of Star-forming Rings in S0 Galaxies
Tous, J. L.; Domínguez-Sánchez, H.; Solanes, J. M.; Perea, J. D.; 2023, ApJ 942, Issue 1, id.48, 13 pp.
Pushing automated morphological classifications to their limits with the Dark Energy Survey
Vega-Ferrero J., Domínguez Sánchez, H; Bernardi M., Huertas-Company, M and the DES collaboration; 2021; 506, Issue 2, pp.1927-1943
Hidden AGN in dwarf galaxies revealed by MaNGA: light echoes, o-nuclear wanderers, and a new broad-line AGN
Mezcua M. and Domínguez Sánchez, H.; ApJL, 898, 2
The stellar mass Fundamental Plane: the virial relation and a very thin plane for slow rotators
Bernardi, M.; Domínguez Sánchez, H.; Margalef-Bentabol, B.; Nikakhtar, F.; Sheth, R. K.; 2020; MNRAS, 494, Issue 4, pp.5148-5160
Bernardi, M.; Domínguez Sánchez, H.; Brownstein, J. R.; Drory, N.; Sheth, R. K.; 2019, MNRAS, 489, Issue 4, p.5633-5652
Fischer J.L.; Domínguez Sánchez, H.; Bernardi, M.; 2019, MNRAS, 483, Issue 4, p.2057-2077