The pantheon+ analysis: cosmological constraints D Brout, D Scolnic, B Popovic, AG Riess, A Carr, J Zuntz, R Kessler, ... The Astrophysical Journal 938 (2), 110, 2022 | 405 | 2022 |
The pantheon+ analysis: SuperCal-fragilistic cross calibration, retrained SALT2 light-curve model, and calibration systematic uncertainty D Brout, G Taylor, D Scolnic, CM Wood, BM Rose, M Vincenzi, A Dwomoh, ... The Astrophysical Journal 938 (2), 111, 2022 | 70 | 2022 |
SCONE: supernova classification with a convolutional neural network H Qu, M Sako, A Möller, C Doux The Astronomical Journal 162 (2), 67, 2021 | 33 | 2021 |
Photometric Classification of Early-time Supernova Light Curves with SCONE H Qu, M Sako The Astronomical Journal 163 (2), 57, 2022 | 10 | 2022 |
Processing of Alu small RNAs by DICER/ADAR1 complexes and their RNAi targets Y Shiromoto, M Sakurai, H Qu, AV Kossenkov, K Nishikura Rna 26 (12), 1801-1814, 2020 | 10 | 2020 |
A Reference Survey for Supernova Cosmology with the Nancy Grace Roman Space Telescope BM Rose, C Baltay, R Hounsell, P Macias, D Rubin, D Scolnic, G Aldering, ... arXiv preprint arXiv:2111.03081, 2021 | 9 | 2021 |
The Dark Energy Survey Supernova Program: Corrections on photometry due to wavelength-dependent atmospheric effects J Lee, M Acevedo, M Sako, M Vincenzi, D Brout, B Sanchez, R Chen, ... The Astronomical Journal 165 (6), 222, 2023 | 3 | 2023 |
There’s no difference: Convolutional Neural Networks for transient detection without template subtraction T Acero-Cuellar, F Bianco, G Dobler, M Sako, H Qu arXiv preprint arXiv:2203.07390, 2022 | 3 | 2022 |
What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction T Acero-Cuellar, F Bianco, G Dobler, M Sako, H Qu, ... The Astronomical Journal 166 (3), 115, 2023 | 2 | 2023 |
Probing the consistency of cosmological contours for supernova cosmology P Armstrong, H Qu, D Brout, TM Davis, R Kessler, AG Kim, C Lidman, ... Publications of the Astronomical Society of Australia 40, e038, 2023 | 2 | 2023 |
Synergies between Vera C. Rubin Observatory, Nancy Grace Roman Space Telescope, and Euclid Mission: Constraining Dark Energy with Type Ia Supernovae BM Rose, G Aldering, M Dai, S Deustua, RJ Foley, E Gangler, P Gris, ... arXiv preprint arXiv:2104.01199, 2021 | 2 | 2021 |
Sum-of-Parts Models: Faithful Attributions for Groups of Features W You, H Qu, M Gatti, B Jain, E Wong arXiv preprint arXiv:2310.16316, 2023 | 1 | 2023 |
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning H Qu, M Sako The Astrophysical Journal 954 (2), 201, 2023 | 1 | 2023 |
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations H Qu, SM Xie arXiv preprint arXiv:2402.03325, 2024 | | 2024 |
The Dark Energy Survey: Cosmology Results With~ 1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset TMC Abbott, M Acevedo, M Aguena, A Alarcon, S Allam, O Alves, A Amon, ... arXiv preprint arXiv:2401.02929, 2024 | | 2024 |
The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties M Vincenzi, D Brout, P Armstrong, B Popovic, G Taylor, M Acevedo, ... arXiv preprint arXiv:2401.02945, 2024 | | 2024 |
Transformers for scientific data: a pedagogical review for astronomers D Tanoglidis, B Jain, H Qu arXiv preprint arXiv:2310.12069, 2023 | | 2023 |
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae H Qu, M Sako, M Vincenzi, C Sanchez, D Brout, R Kessler, R Chen, ... arXiv preprint arXiv:2307.13696, 2023 | | 2023 |
3d scene reconstruction of Roman slitless spectra for host-galaxy subtraction T Astraatmadja, A Fruchter, S Deustua, H Qu, M Sako American Astronomical Society Meeting Abstracts 55 (2), 342.03, 2023 | | 2023 |
A Convolutional Neural Network Approach to Supernova Time-Series Classification H Qu, M Sako, A Moller, C Doux arXiv preprint arXiv:2207.09440, 2022 | | 2022 |