64 citations · 142 across the 24 of their papers we have counts for
25 papers
The DSA/Chronoscope fast radio burst survey: forecasts and science overview
Liam Connor, Kaitlyn Shin, Vikram Ravi +14
Fast radio bursts (FRBs) are bright extragalactic transients with several mysteries surrounding their origins. Large FRB samples enable accurate measurements of the cosmic matter d…
A new measurement of the FRB DM-galaxy cross correlation and a first joint analysis with the kinematic SZ effect
Samuel McCarty, Liam Connor, Kritti Sharma +8
Understanding the distribution of cosmic baryons is crucial for advancing cosmology and galaxy formation. Localized Fast Radio Bursts (FRBs) are a promising new probe of the diffus…
Direct shear kSZ correlation: controlling baryons without modeling galaxies
Anoma Ganguly, Emmanuel Schaan, Elisabeth Krause +1
Baryonic feedback redistributes gas within and around dark matter haloes, suppressing the small-scale matter power spectrum at a level that is now the leading systematic for upcomi…
Baryons in the Darkest Sites of the Universe
Kritti Sharma, Vikram Ravi, Dhayaa Anbajagane +9
The pristine underdense patches of the Universe, cosmic voids, are powerful cosmological laboratories, uniquely sensitive to dark energy, modified gravity, and neutrino masses, yet…
Backlighting the Cosmic Web with Fast Radio Bursts: An Anthology of Dispersion Measure Cross-Correlations with Large-Scale Structure and Baryon Tracers
Kritti Sharma, Elisabeth Krause, Vikram Ravi +11
Fast Radio Bursts (FRBs) probe baryons permeating the cosmic web through their dispersion measures (DMs), which encode the integrated electron density along cosmological sightlines…
Informative Priors on Primordial Non-Gaussianity Bias From Galaxy Formation
Anne Moore, Lucia A. Perez, Elisabeth Krause
Constraining primordial non-Gaussianity via its scale-dependent imprint on galaxy clustering requires knowledge of the bias parameter , which is exactly degenerate with $f^{\r…
Signatures of Suppressed Matter Clustering revealed by Fast Radio Bursts
Kritti Sharma, Elisabeth Krause, Vikram Ravi +3
Complex astrophysical processes regulate the growth of galaxies by injecting energy and momentum into their surroundings, redistributing baryons across megaparsec scales. The clust…
The SPHEREx Satellite Mission
James J. Bock, Asad M. Aboobaker, Joseph Adamo +111
SPHEREx, a NASA explorer satellite launched on 11 March 2025, is carrying out the first all-sky near-infrared spectral survey. The satellite observes in 102 spectral bands from 0.7…
Constraining baryonic feedback and cosmology from DES Y3 and Planck PR4 62pt data. I. CDM models
Jiachuan Xu, Tim Eifler, Elisabeth Krause +3
We combine weak lensing, galaxy clustering, cosmic microwave background (CMB) lensing, and their cross-correlations (so-called 62pt) to constrain cosmology and baryonic fee…
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…
Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part III: Modeling The Next Generation Surveys
Yijie Zhu, Evan Saraivanov, Joshua A. Kable +6
Machine learning can accelerate cosmological inferences that involve many sequential evaluations of computationally expensive data vectors. Previous works in this series have exami…
Cosmology from weak lensing, galaxy clustering, CMB lensing and tSZ: II. Optimizing Roman survey design for CMB cross-correlation science
Tim Eifler, Xiao Fang, Elisabeth Krause +8
We explore synergies between the Nancy Grace Roman Space Telescope High Latitude Wide Area Survey (HLWAS) and CMB experiments, specifically Simons Observatory (SO) and CMB-Stage4 (…
Impact of cosmology dependence of baryonic feedback in weak lensing
Pranjal R. S., Elisabeth Krause, Klaus Dolag +4
Robust modeling of non-linear scales is critical for accurate cosmological inference in Stage IV surveys. For weak lensing analyses in particular, a key challenge arises from the i…
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…
Testing the thermal Sunyaev-Zel'dovich power spectrum of a halo model using hydrodynamical simulations
Emma Ayçoberry, Pranjal R. S., Karim Benabed +3
Statistical properties of LSS serve as powerful tools to constrain the cosmological properties of our Universe. Tracing the gas pressure, the tSZ effect is a biased probe of mass d…
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…
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…
Attention-Based Neural Network Emulators for Multi-Probe Data Vectors Part II: Assessing Tension Metrics
Evan Saraivanov, Kunhao Zhong, Vivian Miranda +3
The next generation of cosmological surveys is expected to generate unprecedented high-quality data, consequently increasing the already substantial computational costs of Bayesian…
Machine Learning LSST 3x2pt analyses -- forecasting the impact of systematics on cosmological constraints using neural networks
Supranta S. Boruah, Tim Eifler, Vivian Miranda +6
Validating modeling choices through simulated analyses and quantifying the impact of different systematic effects will form a major computational bottleneck in the preparation for…
Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part I: Forecasting the Growth-Geometry split
Kunhao Zhong, Evan Saraivanov, James Caputi +4
We present a new class of machine-learning emulators that accurately model the cosmic shear, galaxy-galaxy lensing, and galaxy clustering real space correlation functions in the co…
Constraining Baryonic Physics with DES Y1 and Planck data -- Combining Galaxy Clustering, Weak Lensing, and CMB Lensing
Jiachuan Xu, Tim Eifler, Vivian Miranda +6
We constrain cosmology and baryonic feedback scenarios with a joint analysis of weak lensing, galaxy clustering, cosmic microwave background (CMB) lensing, and their cross-correlat…
Interpreting Internal Consistency of DES Measurements
V. Miranda, P. Rogozenski, E. Krause
Bayesian evidence ratios are widely used to quantify the statistical consistency between different experiments. However, since the evidence ratio is prior dependent, the precise tr…
Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields
Zhefu Yu, Paul Martini, T. M. Davis +72
Measurements of the physical properties of accretion disks in active galactic nuclei are important for better understanding the growth and evolution of supermassive black holes. We…
DES15E2mlf: A Spectroscopically Confirmed Superluminous Supernova that Exploded 3.5 Gyr After the Big Bang
Y. -C. Pan, R. J. Foley, M. Smith +63
We present the Dark Energy Survey (DES) discovery of DES15E2mlf, the most distant superluminous supernova (SLSN) spectroscopically confirmed to date. The light curves and Gemini sp…