
Dillon Brout
· Assistant Professor (Astronomy)Boston University · Physics
Active 2013–2026
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About
Dillon Brout is an Assistant Professor in the Department of Astronomy at Boston University. His research interests include cosmology, with a focus on cosmological distance indicators, Type Ia supernovae, dark energy, dark matter, and the Hubble Constant. He is engaged in advancing understanding of the universe's expansion and the fundamental components that influence cosmic evolution.
Research topics
- Astrophysics
- Physics
- Astronomy
- Mathematical physics
- Statistics
Selected publications
The Astrophysical Journal Letters · 2024-09-01 · 352 citations
articleOpen accessAbstract We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during the full 5 yr of the Dark Energy Survey (DES) SN program. In contrast to most previous cosmological samples, in which SNe are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their light curves in four photometric bands. Spectroscopic redshifts are acquired from a dedicated follow-up survey of the host galaxies. After a…
The Astrophysical Journal · 2024-12-01 · 87 citations
articleOpen accessAbstract We cross-check the Hubble Space Telescope (HST) Cepheid/Type Ia supernova (SN Ia) distance ladder, which yields the most precise local H 0 , against early James Webb Space Telescope (JWST) subsamples (∼1/4 of the HST sample) from SH0ES and CCHP, calibrated only with NGC 4258. We find HST Cepheid distances agree well (∼1 σ ) with all combinations of methods, samples, and telescopes. The comparisons explicitly include the measurement uncertainty of each method in NGC 4258, an oft-neglecte…
The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties
The Astrophysical Journal · 2024-10-25 · 79 citations
articleOpen accessAbstract We present the full Hubble diagram of photometrically classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of 7000 host galaxies. Based on the light-curve quality, we select 1635 photometrically identified SNe Ia with spectroscopic redshift 0.10 < z < 1.13, which is the largest sample of supernovae from any single survey and increases the number of known…
The Dark Energy Survey Supernova Program: Light Curves and 5 Yr Data Release
The Astrophysical Journal · 2024-10-21 · 46 citations
articleOpen accessAbstract We present griz photometric light curves for the full 5 yr of the Dark Energy Survey Supernova (DES-SN) program, obtained with both forced point-spread function photometry on difference images ( DiffImg ) performed during survey operations, and scene modelling photometry (SMP) on search images processed after the survey. This release contains 31,636 DiffImg and 19,706 high-quality SMP light curves, the latter of which contain 1635 photometrically classified SNe that pass cosmology quali…
The Hubble Tension in Our Own Backyard: DESI and the Nearness of the Coma Cluster
The Astrophysical Journal Letters · 2025-01-15 · 40 citations
articleOpen accessAbstract The Dark Energy Spectroscopic Instrument (DESI) collaboration measured a tight relation between the Hubble constant ( H 0 ) and the distance to the Coma cluster using the fundamental plane (FP) relation of the deepest, most homogeneous sample of early-type galaxies. To determine H 0 , we measure the distance to Coma by several independent routes, each with its own geometric reference. We measure the most precise distance to Coma from 13 Type Ia supernovae (SNe Ia) in the cluster with a…
Frequent coauthors
- 173 shared
D. Scolnic
- 163 shared
E. Bertin
Orange (France)
- 159 shared
D. Gruen
- 158 shared
L. N. da Costa
Laboratório Interinstitucional de e-Astronomia
- 155 shared
A. Carnero Rosell
- 136 shared
M. Smith
- 134 shared
D. L. Burke
- 133 shared
K. Kuehn
Netherlands Institute for Radio Astronomy
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