Publications (40)
The DESI Experiment Part I: Science,Targeting, and Survey Design
DESI Collaboration, Amir Aghamousa, Jessica Aguilar +290
DESI (Dark Energy Spectroscopic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations (BAO) and the growth of structure through…
Simulations of Baryon Oscillations
Eric Huff, A. E. Schulz, Martin White +2
The coupling of photons and baryons by Thomson scattering in the early universe imprints features in both the Cosmic Microwave Background (CMB) and matter power spectra. The former…
The DESI Experiment Part II: Instrument Design
DESI Collaboration, Amir Aghamousa, Jessica Aguilar +290
DESI (Dark Energy Spectropic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations and the growth of structure through redshift…
A New Framework for a Model-Based Data Science Computational Platform
Demitri Muna, Eric Huff
Astronomy produces extremely large data sets from ground-based telescopes, space missions, and simulation. The volume and complexity of these rich data sets require new approaches…
Categorizing models using Self-Organizing Maps: an application to modified gravity theories probed by cosmic shear
Agnès Ferté, Shoubaneh Hemmati, Daniel Masters +4
We propose to use Self-Organizing Maps (SOM) to map the impact of physical models onto observables. Using this approach, we are be able to determine how theories relate to each oth…
Cosmology with the Wide-Field Infrared Survey Telescope -- Multi-Probe Strategies
Tim Eifler, Hironao Miyatake, Elisabeth Krause +25
We simulate the scientific performance of the Wide-Field Infrared Survey Telescope (WFIRST) High Latitude Survey (HLS) on dark energy and modified gravity. The 1.6 year HLS Referen…
Kinematic Lensing with the Dark Energy Spectroscopic Instrument -- Probing structure formation at very low redshift
Jiachuan Xu, Tim Eifler, Eason Wang +5
We explore the science prospects of a 14,000 deg Kinematic Lensing (KL) survey with the Dark Energy Spectroscopic Instrument (DESI) and overlapping imaging surveys. KL infers t…
Simulations of the OzDES AGN Reverberation Mapping Project
Anthea L. King, Paul Martini, Tamara M. Davis +11
As part of the OzDES spectroscopic survey we are carrying out a large scale reverberation mapping study of 500 quasars over five years in the 30 deg area of the Dark Ener…
Modelling the redshift-space cluster-galaxy correlation function on Mpc scales with emulation of the pairwise velocity distribution
Andrew Robertson, Eric Huff, Katarina Markovic +1
We present a method for modelling the cluster-galaxy correlation function in redshift-space, down to ~ Mpc scales. The method builds upon the so-called Galaxy Infall Kinematics (GI…
Kinematic Lensing Inference I: Characterizing Shape Noise with Simulated Analyses
Pranjal R. S., Elisabeth Krause, Hung-Jin Huang +4
The unknown intrinsic shape of source galaxies is one of the largest uncertainties of weak gravitational lensing (WL). It results in the so-called shape noise at the level of $Ï_Î…
Precision Projector Laboratory: Detector Characterization with an Astronomical Emulation Testbed
Charles Shapiro, Roger Smith, Eric Huff +7
As astronomical observations from space benefit from improved sensitivity, the effectiveness of scientific programs is becoming limited by systematics that often originate in poorl…
Deblending Galaxies with Generative Adversarial Networks
Shoubaneh Hemmati, Eric Huff, Hooshang Nayyeri +6
Deep generative models including generative adversarial networks (GANs) are powerful unsupervised tools in learning the distributions of data sets. Building a simple GAN architectu…
Cosmological constraints from the convergence 1-point probability distribution
Kenneth Patton, Jonathan Blazek, Klaus Honscheid +4
We examine the cosmological information available from the 1-point probability distribution (PDF) of the weak-lensing convergence field, utilizing fast L-PICOLA simulations and a F…
Kinematic Lensing with the Roman Space Telescope
Jiachuan Xu, Tim Eifler, Eric Huff +4
Kinematic lensing (KL) is a new cosmological measurement technique that combines traditional weak lensing (WL) shape measurements of disc galaxies with their kinematic information.…
Intrinsic alignments of group and cluster galaxies in photometric surveys
Nora Elisa Chisari, Rachel Mandelbaum, Michael A. Strauss +2
Intrinsic alignments of galaxies have been shown to contaminate weak gravitational lensing observables on linear scales, 10 Mpc, but studies of alignments in the non-l…
Sloan Digital Sky Survey III Photometric Quasar Clustering: Probing the Initial Conditions of the Universe using the Largest Volume
Shirley Ho, Nishant Agarwal, Adam D. Myers +18
The Sloan Digital Sky Survey has surveyed 14,555 square degrees of the sky, and delivered over a trillion pixels of imaging data. We present the large-scale clustering of 1.6 milli…
Weak gravitational lensing with CO galaxies
Philip Bull, Ian Harrison, Eric Huff
Optical weak lensing surveys have become a powerful tool for precision cosmology, but remain subject to systematic effects that can severely bias cosmological parameter estimates i…
Modeling Redshift Uncertainties in Roman Weak Lensing Cosmology
Diogo H. F. de Souza, Boyan Yin, Tim Eifler +7
Cosmological constraints using weak gravitational lensing measurements from the Roman Space Telescope will require a powerful method for modelling uncertainties in the galaxy redsh…
x-cut Cosmic Shear: Optimally Removing Sensitivity to Baryonic and Nonlinear Physics with an Application to the Dark Energy Survey Year 1 Shear Data
Peter L. Taylor, Francis Bernardeau, Eric Huff
We present a new method, called -cut cosmic shear, which optimally removes sensitivity to poorly modeled scales from the two-point cosmic shear signal. We show that the -cut…
The End of Galaxy Surveys
Jason Rhodes, Eric Huff, Daniel Masters +1
For nearly a century, imaging and spectroscopic surveys of galaxies have given us information about the contents of the universe. We attempt to define the logical endpoint of such…
Learning Intrinsic Alignments from Local Galaxy Environments
Matthew Craigie, Eric Huff, Yuan-Sen Ting +2
We present DELTA (Data-Empiric Learned Tidal Alignments), a deep learning model that isolates galaxy intrinsic alignments (IAs) from weak lensing distortions using only observation…
Kinematic Lensing Inference II: Cluster Lensing with (1) Galaxies
Pranjal R. S., Eric Huff, Elisabeth Krause +4
We present the first detection of a cluster lensing signal with `Kinematic Lensing' (KL), a novel weak lensing method that combines photometry, spectroscopy, and the Tully-Fisher r…
Cluster Formation in Contracting Molecular Clouds
Eric Huff, Steven Stahler
We explore, through a simplified, semi-analytic model, the formation of dense clusters containing massive stars. The parent cloud spawning the cluster is represented as an isotherm…
The RSD Sorting Hat: Unmixing Radial Scales in Projection
Peter L. Taylor, Katarina MarkoviÄ, Alkistis Pourtsidou +1
Future data sets will enable cross-correlations between redshift space distortions (RSD) and weak lensing (WL). While photometric lensing and clustering cross-correlations have pro…
The little coadd that could: Estimating shear from coadded images
Robert Armstrong, Erin Sheldon, Eric Huff +9
Upcoming wide field surveys will have many overlapping epochs of the same region of sky. The conventional wisdom is that in order to reduce the errors sufficiently for systematics-…
Training the Next Generation of Astronomers
Peter K. G. Williams, Eric Huff, Holly Maness +28
While both society and astronomy have evolved greatly over the past fifty years, the academic institutions and incentives that shape our field have remained largely stagnant. As a…
Intra-pixel response characterization of a HgCdTe near infrared detector with a pronounced crosshatch pattern
Charles Shapiro, Eric Huff, Roger Smith
The "crosshatch" pattern is a recurring "feature" of HgCdTe arrays, specifically the Teledyne HAWAII family of near infrared detectors. It is a fixed pattern of high frequency QE v…
Confronting cosmic shear astrophysical uncertainties: DES Year 3 revisited
Leah Bigwood, Jamie McCullough, Jared Siegel +19
Cosmology from weak gravitational lensing has been limited by astrophysical uncertainties in baryonic feedback and intrinsic alignments. By calibrating these effects using external…
WFIRST Science Investigation Team "Cosmology with the High Latitude Survey" Annual Report 2017
Olivier Doré, Christopher Hirata, Yun Wang +46
Cosmic acceleration is the most surprising cosmological discovery in many decades. Testing and distinguishing among possible explanations requires cosmological measurements of extr…
An ultra-high-resolution map of (dark) matter
Diana Scognamiglio, Gavin Leroy, David Harvey +38
Ordinary matter-including particles such as protons and neutrons-accounts for only about one sixth of all matter in the Universe. The rest is dark matter, which does not emit or ab…
Metacalibration: Direct Self-Calibration of Biases in Shear Measurement
Eric Huff, Rachel Mandelbaum
One of the primary limiting sources of systematic uncertainty in forthcoming weak lensing measurements is systematic uncertainty in the quantitative relationship between the distor…
Why weak lensing cluster shapes are insensitive to self-interacting dark matter
Andrew Robertson, Eric Huff, Katarina Markovic
We investigate whether the shapes of galaxy clusters inferred from weak gravitational lensing can be used as a test of the nature of dark matter. We analyse mock weak lensing data,…
Diffusion-based Galaxy Simulations for the Roman High Latitude Survey
Diana Scognamiglio, Jake H. Lee, Eric Huff +2
Future weak lensing analyses with the Nancy Grace Roman Space Telescope will require highly realistic image simulations to control shear systematics at unprecedented precision. A k…
Denoising Diffusion Probabilistic Model for realistic and fast generated \textit{Euclid}-like data for weak lensing analysis
Diana Scognamiglio, Jake H. Lee, Eric Huff +2
Understanding and mitigating measurement systematics in weak lensing (WL) analysis requires large datasets of realistic galaxies with diverse morphologies and colors. Missions like…
Astrophysical systematics in Kinematic Lensing: quantifying an Intrinsic Alignment analog
Yu-Hsiu Huang, Elisabeth Krause, Jiachuan Xu +3
Kinematic lensing (KL) is a new weak lensing technique that reduces shape noise for disk galaxies by including spectroscopically measured galaxy kinematics in addition to photometr…
Detecting Baryon Acoustic Oscillations in Dark Matter from Kinematic Weak Lensing Surveys
Zhejie Ding, Hee-Jong Seo, Eric Huff +2
We investigate the feasibility of extracting Baryon Acoustic Oscillations (BAO) from cosmic shear tomography. We particularly focus on the BAO scale precision that can be achieved…
Cosmic shear with one component and its application to future radio surveys
Yu-Hsiu Huang, Elisabeth Krause, Tim Eifler +4
We present a new approach to measuring cosmic shear: the one-component kinematic lensing (KL) method. This technique provides a simplified implementation of KL that reduces shape n…
Cosmology with the Wide-Field Infrared Survey Telescope -- Synergies with the Rubin Observatory Legacy Survey of Space and Time
Tim Eifler, Melanie Simet, Elisabeth Krause +27
We explore synergies between the space-based Wide-Field Infrared Survey Telescope (WFIRST) and the ground-based Rubin Observatory Legacy Survey of Space and Time (LSST). In particu…
Lensing-Reconstructed Dark Matter-Intracluster Medium Coherence as a Probe of Cluster Dynamical State: Application to HSTFF, RELICS, and CLASH Clusters
Giulia Cerini, Sayan Saha, Jacqueline McCleary +13
We present the first application of Fourier-space coherence analysis between the lensing-reconstructed projected mass distribution and the X-ray-emitting intracluster medium to a s…
The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s
Rachel Akeson, Lee Armus, Etienne Bachelet +103
The Wide Field Infrared Survey Telescope (WFIRST) is a 2.4m space telescope with a 0.281 deg^2 field of view for near-IR imaging and slitless spectroscopy and a coronagraph designe…