2.2k citations · 12.3k across the 114 of their papers we have counts for
118 papers
Untangling Similarities and Differences in Star Formation Histories Across Cosmological Simulations
Alicia M. Savelli, Matthew A. Kustec, Joshua S. Speagle +5
How galaxies assemble depends on processes ranging from small-scale baryonic physics to large-scale cosmological assembly, which are difficult to disentangle with observations alon…
Unresolved Binary Systems in the Rubin Era I: An Autoencoder Framework for Binary Identification Applied to 47 Tucanae
Tobias Géron, Alexander Laroche, Joshua S. Speagle +1
Binary systems are extremely common and influence many areas of astrophysics, such as stellar evolution and cluster dynamics. In this work, we introduce flexAE, a framework that co…
Model Predictive Scoring Shows Specific BAO Observations (not SNIa) Drives Tension
Tanveer Karim, Joshua S. Speagle, Renée Hložek
The recent analyses of DESI DR2 BAO, Planck CMB and various Supernovae datasets have shown preferences for evolving dark energy at various levels of significance, under frequentist…
EncoTESS: Age-Sensitive Encodings from Raw TESS Light Curves
Phil R. Van-Lane, Joshua S. Speagle, Ryan Cloutier +3
Main sequence stars of spectral types late F through M exhibit systematic variability in photometric light curves, particularly when they are young. Rotational modulation of starsp…
OutThere Survey: Addressing and with a population of average galaxies at z2
Ravi Jaiswar, Anshu Gupta, Elisabete da Cunha +24
Constraining the major contributors to the ionisation of the early universe is an ongoing endeavour of high-redshift galaxy research. We measure the ionising photon production effi…
How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
Michelle Ntampaka, S. Burke-Spolaor, Ioana Ciucă +14
Language AI is rapidly becoming part of the astronomy research ecosystem, prompting research teams to develop policies governing its use. But resources and advice for AI adoption a…
Integral Field Unit Spectroscopy with One Fiber
Zehao Peng, Biprateep Dey, Chris J. Maddison +1
Integral field unit (IFU) spectroscopy provides spatially resolved spectra across galaxies, offering crucial insights into their evolution. However, its high observational cost lim…
On the correlation between globular clusters and the distribution of dark matter in galaxy clusters: the case of Abell 2744
Marta Reina-Campos, Joshua S. Speagle, William E. Harris
Globular clusters (GCs) lie scattered around the inner of the virial radius of galaxy clusters, potentially being excellent tracers of the underlying mass distribution. In t…
It's More Complicated Than You Think: A Forward Model to Infer the Recent Star Formation History, Bursty or Not, of Galaxy Populations
Emilie Burnham, Bingjie Wang, Joel Leja +14
Observations of the early Universe (z > 4) with the James Webb Space Telescope reveal galaxy populations with a wide range of intrinsic luminosities and colors. Bursty star formati…
An Ancient Descendant of the First Galaxies
Jacqueline Antwi-Danso, Adam Muzzin, Luke Robbins +18
JWST has revealed unexpectedly bright galaxies in the first 500 Myr after the Big Bang. Their overabundance suggests that they are preferentially observed during burst phases, wher…
Data-Driven Stellar Spectral Modelling with GSPICE
Douglas P. Finkbeiner, Joshua S. Speagle, Tanveer Karim
Spectral data reduction pipelines deal with a wide variety of challenges including masking cosmic rays, calibrating wavelength solutions, and estimating background noise while tryi…
Finding the boundary: Using galaxy membership to inform galaxy cluster extent through machine learning
Christine Hao, Stephanie O'Neil, Mark Vogelsberger +3
The spatial extent of the environment's impact on galaxies marks a transitional region between cluster and field galaxies. We present a data-driven method to identify this region i…
How does feedback affect the star formation histories of galaxies?
Kartheik G. Iyer, Tjitske K. Starkenburg, Greg L. Bryan +20
Star formation in galaxies is regulated by the interplay of a range of processes that shape the multiphase gas in the interstellar and circumgalactic media. Using the CAMELS suite…
Trustworthy scientific inference with generative models
James Carzon, Luca Masserano, Joshua D. Ingram +7
Generative artificial intelligence (AI) excels at producing complex data structures (text, images, videos) by learning patterns from training examples. Across scientific discipline…
MINERVA: A NIRCam Medium Band and MIRI Imaging Survey to Unlock the Hidden Gems of the Distant Universe
Adam Muzzin, Katherine A. Suess, Danilo Marchesini +81
We present an overview of the MINERVA survey, a 259.8 hour (prime) and 127 hour (parallel) Cycle 4 treasury program on the James Webb Space Telescope (JWST). MINERVA is obtaining 8…
Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS
Joshua S. Speagle, Catherine Zucker, Angus Beane +18
We present brutus, an open source Python package for quickly deriving stellar properties, distances, and reddenings to stars based on grids of stellar models constrained by photome…
SF-R You Sure? The Conflicting Role of Star Formation Rates in Constraining the Evolution of Milky Way Analogues in Cosmological Simulations
Alicia M. Savelli, Joshua S. Speagle, J. Ted Mackereth +2
Milky Way analogues (MWAs) have long been studied by astronomers to place our Galaxy within an extragalactic context. With the power of cosmological simulations, we are now able to…
Measuring using DESI Legacy Imaging Surveys Emission-Line Galaxies and Planck CMB Lensing and the Impact of Dust on Parameter Inference
Tanveer Karim, Sukhdeep Singh, Mehdi Rezaie +39
Measuring the growth of structure is a powerful probe for studying the dark sector, especially in light of the tension between primary CMB anisotropy and low-redshift surveys…
Estimating Probability Densities with Transformer and Denoising Diffusion
Henry W. Leung, Jo Bovy, Joshua S. Speagle
Transformers are often the go-to architecture to build foundation models that ingest a large amount of training data. But these models do not estimate the probability density distr…
Should zeros count? Modeling the galaxy-globular cluster scaling relation with(out) zero-inflated count models
Samantha C. Berek, Gwendolyn M. Eadie, Joshua S. Speagle +1
The scaling relation between the size of a galaxy's globular cluster (GC) population () and the galaxy's stellar mass () is usually described with a continuous, linear…
The first catalog of candidate white dwarf-main sequence binaries in open star clusters: A new window into common envelope evolution
Steffani M. Grondin, Maria R. Drout, Jason Nordhaus +3
Close binary systems are the progenitors to both Type Ia supernovae and the compact object mergers that can be detected via gravitational waves. To achieve a binary with a small ra…
Photometric Completeness Modelled With Neural Networks
William E. Harris, Joshua S. Speagle
In almost any study involving optical/NIR photometry, understanding the completeness of detection and recovery is an essential part of the work. The recovery fraction is, in genera…
Improving Harmonic Analysis using Multitapering: Precise frequency estimation of stellar oscillations using the harmonic F-test
Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle +1
In Patil et. al 2024a, we developed a multitaper power spectrum estimation method, mtNUFFT, for analyzing time-series with quasi-regular spacing, and showed that it not only improv…
Stochastic prior for non-parametric star-formation histories
Jenny T. Wan, Sandro Tacchella, Benjamin D. Johnson +3
The amount of power contained in the variations in galaxy star-formation histories (SFHs) across a range of timescales encodes key information about the physical processes which mo…