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Helen Qu
Helen Qu
Graduate Student, University of Pennsylvania
Verified email at sas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
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
4052022
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
702022
SCONE: supernova classification with a convolutional neural network
H Qu, M Sako, A Möller, C Doux
The Astronomical Journal 162 (2), 67, 2021
332021
Photometric Classification of Early-time Supernova Light Curves with SCONE
H Qu, M Sako
The Astronomical Journal 163 (2), 57, 2022
102022
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
102020
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
92021
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
32023
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
32022
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
22023
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
22023
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
22021
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
12023
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning
H Qu, M Sako
The Astrophysical Journal 954 (2), 201, 2023
12023
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
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