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B. Nord

Fermi National Accelerator Laboratory · US
Area of research
Astronomy and Astrophysics · Instrumentation
Research interest
Research interests include Galaxies: Formation, Evolution, Phenomena, Astronomy and Astrophysical Research, Gamma-ray bursts and supernovae, and Stellar, planetary, and galactic studies.
h-index
63
citations
16,866
works
287
NIH funding
primary concept
email

Recent publications

A robust estimator of mutual information for deep learning interpretability
Machine Learning Science and Technology 2023cited by 24position: lastdoi
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images
Astronomy and Computing 2022cited by 21position: middledoi
Discovering the building blocks of dark matter halo density profiles with neural networks
ePubs (Science and Technology Facilities Council, Research Councils UK) 2022cited by 20position: middledoi
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification
Machine Learning Science and Technology 2022cited by 20position: middledoi
<tt>KilonovaNet</tt>: Surrogate models of kilonova spectra with conditional variational autoencoders
Monthly Notices of the Royal Astronomical Society 2022cited by 15position: lastdoi
DIGS: deep inference of galaxy spectra with neural posterior estimation
Machine Learning Science and Technology 2022cited by 15position: middledoi
The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint
The Astrophysical Journal Supplement Series 2022cited by 14position: middledoi
DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains
Monthly Notices of the Royal Astronomical Society 2021cited by 46position: lastdoi
Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing
Physical review. D/Physical review. D. 2020cited by 262position: middledoi
Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms
Machine Learning Science and Technology 2020cited by 78position: lastdoi
DeepMerge: Classifying high-redshift merging galaxies with deep neural networks
Astronomy and Computing 2020cited by 56position: middledoi
Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing
Physical review. D/Physical review. D. 2019cited by 387position: middledoi
Finding high-redshift strong lenses in DES using convolutional neural networks
Monthly Notices of the Royal Astronomical Society 2019cited by 103position: middledoi
First cosmology results using Type Ia supernova from the Dark Energy Survey: simulations to correct supernova distance biases
Monthly Notices of the Royal Astronomical Society 2019cited by 95position: middledoi
First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Photometric Pipeline and Light-curve Data Release
The Astrophysical Journal 2019cited by 94position: middledoi
Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters
Monthly Notices of the Royal Astronomical Society 2018cited by 237position: middledoi
Dark Energy Survey year 1 results: Galaxy clustering for combined probes
Physical review. D/Physical review. D. 2018cited by 156position: middledoi
Dark Energy Survey year 1 results: Galaxy-galaxy lensing
Physical review. D/Physical review. D. 2018cited by 115position: middledoi
Baryon content in a sample of 91 galaxy clusters selected by the South Pole Telescope at 0.2 &lt;z &lt; 1.25
Monthly Notices of the Royal Astronomical Society 2018cited by 112position: middledoi
Density split statistics: Joint model of counts and lensing in cells
Physical review. D/Physical review. D. 2018cited by 100position: middledoi
The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles
The Astrophysical Journal 2018cited by 93position: middledoi
Transfer learning for galaxy morphology from one survey to another
Monthly Notices of the Royal Astronomical Society 2018cited by 89position: middledoi
Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization
Monthly Notices of the Royal Astronomical Society 2018cited by 79position: middledoi
A measurement of CMB cluster lensing with SPT and DES year 1 data
Monthly Notices of the Royal Astronomical Society 2018cited by 54position: middledoi
Chemical Abundance Analysis of Three α-poor, Metal-poor Stars in the Ultrafaint Dwarf Galaxy Horologium I*
The Astrophysical Journal 2018cited by 49position: middledoi
Star-galaxy classification in the Dark Energy Survey Y1 dataset
Monthly Notices of the Royal Astronomical Society 2018cited by 40position: middledoi
Dynamical Analysis of Three Distant Trans-Neptunian Objects with Similar Orbits
The Astronomical Journal 2018cited by 14position: middledoi
Eight new luminous z ≥ 6 quasars discovered via SED model fitting of VISTA, WISE and Dark Energy Survey Year 1 observations
Monthly Notices of the Royal Astronomical Society 2017cited by 127position: middledoi
Nearest Neighbor: The Low-mass Milky Way Satellite Tucana III*
The Astrophysical Journal 2017cited by 116position: middledoi
COSMOGRAIL: the COSmological MOnitoring of GRAvItational Lenses
Astronomy and Astrophysics 2017cited by 112position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 5 papers (2020–2022) · 3 papers (2021–2022)Gregory F. Snyder · Hebrew University of Jerusalem3 papers (2020–2022) · 2 papers (2022–2023)Davide Piras · University of Padua2 papers (2022–2023)Sydney Jenkins · Massachusetts Institute of Technology2 papers (2021–2022)Kathryn Downey · University of Chicago2 papers (2021–2022) · 2 papers (2022–2023)Sandeep Madireddy · Argonne National Laboratory2 papers (2021–2022)Gabriel Perdue · University of Rochester2 papers (2021–2022)Andrew Pontzen · Durham University2 papers (2022–2023) · 1 papers (2020–2020)Ningyuan Guo · Kunming University of Science and Technology1 papers (2023–2023)E. S. Rykoff · California Institute of Technology1 papers (2014–2014) · 1 papers (2022–2022)Javier Sánchez · Space Telescope Science Institute1 papers (2022–2022)Alexie Leauthaud · California Institute of Technology1 papers (2014–2014)Benjamin P. Koester · University of Michigan1 papers (2014–2014)M. Soares-Santos · University of Zurich1 papers (2022–2022)J. E. G. Peek · Columbia University1 papers (2020–2020)