2.4k citations · 9k across the 66 of their papers we have counts for
44 papers · 1 filter
If at First You Don't Succeed, Trispectrum: I. Estimating the Matter Power Spectrum Covariance with Higher-Order Statistics
Samuel Goldstein, Kendrick M. Smith, Utkarsh Giri +1
We present a method to estimate non-Gaussian power spectrum covariance matrices by directly measuring the response of the small-scale power spectrum to long-wavelength perturbation…
MadEvolve: Evolutionary Optimization of Cosmological Algorithms with Large Language Models
Tianyi Li, Shihui Zang, Moritz Münchmeyer
We develop a general framework to discover scientific algorithms and apply it to three problems in computational cosmology. Our code, MadEvolve, is similar to Google's AlphaEvolve,…
The Simons Observatory: forecasted constraints on primordial gravitational waves with the expanded array of Small Aperture Telescopes
The Simons Observatory Collaboration, I. Abril-Cabezas, S. Adachi +479
We present updated forecasts for the scientific performance of the degree-scale (0.5 deg FWHM at 93 GHz), deep-field survey to be conducted by the Simons Observatory (SO). By 2027,…
Squeezed Limit non-Gaussianity Estimation with Cosmic Shear
Shi-Hui Zang, Moritz Münchmeyer
We present a new method to constrain local primordial non-Gaussianity using the large-scale modulation of the local lensing power spectrum. Our work extends our recently proposed $…
QML-FAST -- A Fast Code for low- Tomographic Maximum Likelihood Power Spectrum Estimation
Yurii Kvasiuk, Anderson Lai, Moritz Münchmeyer +1
We present a novel implementation for the quadratic maximum likelihood (QML) power spectrum estimator for multiple correlated scalar fields on the sphere. Our estimator supports ar…
Reconstruction of Dark Matter and Baryon Density From Galaxies: A Comparison of Linear, Halo Model and Machine Learning-Based Methods
Jordan Krywonos, Yurii Kvasiuk, Matthew C. Johnson +1
For many analyses in cosmology it is necessary to reconstruct the likely distribution of unobserved fields, such as dark matter or non-luminous baryons, from observed luminous trac…
KSZ Velocity Reconstruction with ACT and DESI-LS using a Tomographic QML Power Spectrum Estimator
Anderson C. M. Lai, Yurii Kvasiuk, Moritz Münchmeyer
We perform kinetic Sunyaev-Zel'dovich (kSZ) velocity reconstruction on data from ACT DR6 and DESI-LS DR9. To estimate the cross-power between kSZ velocity reconstruction and galaxy…
The Spectroscopic Stage-5 Experiment
Robert Besuner, Arjun Dey, Alex Drlica-Wagner +106
The existence, properties, and dynamics of the dark sectors of our universe pose fundamental challenges to our current model of physics, and large-scale astronomical surveys may be…
Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks
Yurii Kvasiuk, Jordan Krywonos, Matthew C. Johnson +1
We develop a hybrid GNN-CNN architecture for the reconstruction of 3-dimensional continuous cosmological matter fields from discrete point clouds, provided by observed galaxy catal…
A Tale of Two Fields: Neural Network-Enhanced non-Gaussianity Search with Halos
Yurii Kvasiuk, Moritz Münchmeyer, Kendrick Smith
It was recently shown that neural networks can be combined with the analytic method of scale-dependent bias to obtain a measurement of local primordial non-Gaussianity, which is op…
Super-Resolution Emulation of Large Cosmological Fields with a 3D Conditional Diffusion Model
Adam Rouhiainen, Michael Gira, Moritz Münchmeyer +2
High-resolution (HR) simulations in cosmology, in particular when including baryons, can take millions of CPU hours. On the other hand, low-resolution (LR) dark matter simulations…
Search for Isocurvature with Large-scale Structure: A Forecast for Euclid and MegaMapper using EFTofLSS
Daniel J. H. Chung, Moritz Münchmeyer, Sai Chaitanya Tadepalli
Isocurvature perturbations with a blue power spectrum are one of the natural targets for the future large scale structure observations which are probing shorter length scales with…
An Auto-Differentiable Likelihood Pipeline for the Cross-Correlation of CMB and Large-Scale Structure due to the Kinetic Sunyaev-Zeldovich Effect
Yurii Kvasiuk, Moritz Münchmeyer
We develop an optimization-based maximum likelihood approach to analyze the cross-correlation of the Cosmic Microwave Background (CMB) and large-scale structure induced by the kine…
Constraining using the Large-Scale Modulation of Small-Scale Statistics
Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith
We implement a novel formalism to constrain primordial non-Gaussianity of the local type from the large-scale modulation of the small-scale power spectrum. Our approach combines in…
De-noising non-Gaussian fields in cosmology with normalizing flows
Adam Rouhiainen, Moritz Münchmeyer
Fields in cosmology, such as the matter distribution, are observed by experiments up to experimental noise. The first step in cosmological data analysis is usually to de-noise the…
Robust Neural Network-Enhanced Estimation of Local Primordial Non-Gaussianity
Utkarsh Giri, Moritz Münchmeyer, Kendrick M. Smith
When applied to the non-linear matter distribution of the universe, neural networks have been shown to be very statistically sensitive probes of cosmological parameters, such as th…
Snowmass 2021 CMB-S4 White Paper
Kevork Abazajian, Arwa Abdulghafour, Graeme E. Addison +353
This Snowmass 2021 White Paper describes the Cosmic Microwave Background Stage 4 project CMB-S4, which is designed to cross critical thresholds in our understanding of the origin a…
Snowmass2021 Cosmic Frontier: Cosmic Microwave Background Measurements White Paper
Clarence L. Chang, Kevin M. Huffenberger, Bradford A. Benson +128
This is a solicited whitepaper for the Snowmass 2021 community planning exercise. The paper focuses on measurements and science with the Cosmic Microwave Background (CMB). The CMB…
Snowmass2021 CMB-HD White Paper
HD Collaboration, Simone Aiola, Yashar Akrami +61
CMB-HD is a proposed millimeter-wave survey over half the sky that would be ultra-deep (0.5 uK-arcmin) and have unprecedented resolution (15 arcseconds at 150 GHz). Such a survey w…
CHIME/FRB Catalog 1 results: statistical cross-correlations with large-scale structure
Masoud Rafiei-Ravandi, Kendrick M. Smith, Dongzi Li +38
The CHIME/FRB Project has recently released its first catalog of fast radio bursts (FRBs), containing 492 unique sources. We present results from angular cross-correlations of CHIM…
Normalizing flows for random fields in cosmology
Adam Rouhiainen, Utkarsh Giri, Moritz Münchmeyer
Normalizing flows are a powerful tool to create flexible probability distributions with a wide range of potential applications in cosmology. Here we are studying normalizing flows…
CMB-HD: Astro2020 RFI Response
Neelima Sehgal, Simone Aiola, Yashar Akrami +45
CMB-HD is a proposed ultra-deep (0.5 uk-arcmin), high-resolution (15 arcseconds) millimeter-wave survey over half the sky that would answer many outstanding questions in both funda…
Higher N-point function data analysis techniques for heavy particle production and WMAP results
Moritz Münchmeyer, Kendrick M. Smith
We explore data analysis techniques for signatures from heavy particle production during inflation. Heavy particules can be produced by time dependent masses and couplings, which a…
CMB-HD: An Ultra-Deep, High-Resolution Millimeter-Wave Survey Over Half the Sky
Neelima Sehgal, Simone Aiola, Yashar Akrami +37
A millimeter-wave survey over half the sky, that spans frequencies in the range of 30 to 350 GHz, and that is both an order of magnitude deeper and of higher-resolution than curren…