List of works - Brian Nord

redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG

scientific article published in the Astrophysical Journal

The X‐Ray Luminosity–Mass Relation for Local Clusters of Galaxies

scientific article published in the Astrophysical Journal

The LX–M relation of clusters of galaxies

The Dark Energy Survey: Data Release 1

scientific article

Extrinsic sources of scatter in the richness-mass relation of galaxy clusters

scientific article published in the Astrophysical Journal

Searching for dark matter annihilation in recently discovered Milky Way satellites with Fermi-Lat

scientific article published in the Astrophysical Journal

Overview of the DESI Legacy Imaging Surveys

scientific article

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

scholarly article by T. M. C. Abbott et al published 21 February 2019 in Letters of the Astrophysical Journal

Models of the strongly lensed quasar DES J0408−5354

scientific article

SkyPy: A package for modelling the Universe

scientific article published on 10 September 2021

Flare Statistics for Young Stars from a Convolutional Neural Network Analysis of TESS Data

scientific article published on 23 October 2020

Effects of selection and covariance on X-ray scaling relations of galaxy clusters

scholarly article

deeplenstronomy: A dataset simulation package for strong gravitational lensing

scientific article published on 04 February 2021

OzDES multifibre spectroscopy for the Dark Energy Survey: 3-yr results and first data release

scholarly article

PreCam: A Precursor Observational Campaign for Calibration of the Dark Energy Survey

Dark Energy Survey year 1 results: Joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

scientific article published on 26 July 2019

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

scientific article

CMB-S4: Forecasting Constraints on Primordial Gravitational Waves

scientific article published in 2022

DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification

scientific article published on 21 July 2022

DeepZipper. II. Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning

DeepZipper: A Novel Deep-learning Architecture for Lensed Supernovae Identification

The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint

scientific article published in March 2022

List of works by Brian Nord

redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG

The X‐Ray Luminosity–Mass Relation for Local Clusters of Galaxies

The LX–M relation of clusters of galaxies

The Dark Energy Survey: Data Release 1

Extrinsic sources of scatter in the richness-mass relation of galaxy clusters

Searching for dark matter annihilation in recently discovered Milky Way satellites with Fermi-Lat

Overview of the DESI Legacy Imaging Surveys

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

Models of the strongly lensed quasar DES J0408−5354

SkyPy: A package for modelling the Universe

Flare Statistics for Young Stars from a Convolutional Neural Network Analysis of TESS Data

Effects of selection and covariance on X-ray scaling relations of galaxy clusters

deeplenstronomy: A dataset simulation package for strong gravitational lensing

OzDES multifibre spectroscopy for the Dark Energy Survey: 3-yr results and first data release

PreCam: A Precursor Observational Campaign for Calibration of the Dark Energy Survey

Dark Energy Survey year 1 results: Joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

CMB-S4: Forecasting Constraints on Primordial Gravitational Waves

DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification

DeepZipper. II. Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning

DeepZipper: A Novel Deep-learning Architecture for Lensed Supernovae Identification

The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint