Copertina

Observability of Acausal and Uncorrelated Optical-Quasar Pairs for Quantum-Mechanical Experiments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Steinbring, Eric
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Data Analysis, Statistics and Probability Quantum Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantum Computing Tools for Fast Detection of Gravitational Waves in the Context of LISA Space Mission
di: Isfan, Maria-Catalina, et al.
Pubblicazione: (2025)

Constraining Power of Wavelet vs. Power Spectrum Statistics for CMB Lensing and Weak Lensing with Learned Binning
di: Boone, Kyle, et al.
Pubblicazione: (2025)

Starobinsky in Stereo: SKA-CMB Synergy in SBI
di: Schosser, Benedikt, et al.
Pubblicazione: (2025)

TABASCAL II: Removing Multi-Satellite Interference from Point-Source Radio Astronomy Observations
di: Finlay, Chris, et al.
Pubblicazione: (2025)

Enhancing evidence estimation through informed probability density approximation
di: Zahraoui, El Mehdi, et al.
Pubblicazione: (2025)

Clues from $\mathcal{Q}$--A null test designed for line intensity mapping cross-correlation studies
di: Sarkar, Debanjan, et al.
Pubblicazione: (2025)

From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets
di: Campeti, P., et al.
Pubblicazione: (2025)

Deep Learning for Point Spread Function Modeling in Cosmology
di: Arbeláez, Dayana Andrea Henao, et al.
Pubblicazione: (2026)

Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains
di: Herzog, Maximilian Philipp, et al.
Pubblicazione: (2023)

Evaluating state-of-the-art cloud quantum computers for quantum neural networks in gravitational waves data analysis
di: Isfan, Maria-Catalina, et al.
Pubblicazione: (2026)

Trajectory Based RFI Subtraction and Calibration for Radio Interferometry
di: Finlay, Chris, et al.
Pubblicazione: (2023)

Partition function approach to non-Gaussian likelihoods: partitions for the inference of functions and the Fisher-functional
di: Kuntz, Rebecca Maria, et al.
Pubblicazione: (2023)

GetDist: a Python package for analysing Monte Carlo samples
di: Lewis, Antony
Pubblicazione: (2019)

DerivKit: stable numerical derivatives bridging Fisher forecasts and MCMC
di: Šarčević, Nikolina, et al.
Pubblicazione: (2026)

The Galaxy Bias Profile of Cosmic Voids:A Comparison of Void Finders
di: Alfaro, Ignacio G., et al.
Pubblicazione: (2026)

Substructure Detection in Realistic Strong Lensing Systems with Machine Learning
di: Tsang, Arthur, et al.
Pubblicazione: (2024)

Morphometry on the sphere: Cartesian and irreducible Minkowski tensors explained and implemented
di: Collischon, Caroline, et al.
Pubblicazione: (2024)

Multi-Agent System for Cosmological Parameter Analysis
di: Laverick, Andrew, et al.
Pubblicazione: (2024)

Fisher's Mirage: Noise Tightening of Cosmological Constraints in Simulation-Based Inference
di: Wilson, Christopher, et al.
Pubblicazione: (2024)

Analytic Marginalization over Binary Variables in Physics Data
di: Högås, Marcus, et al.
Pubblicazione: (2025)

The Non-Gaussian Weak-Lensing Likelihood: A Multivariate Copula Construction and Impact on Cosmological Constraints
di: Oehl, Veronika, et al.
Pubblicazione: (2026)

Initial Conditions from Galaxies: Machine-Learning Subgrid Correction to Standard Reconstruction
di: Parker, Liam, et al.
Pubblicazione: (2025)

Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference
di: Mediato-Diaz, Nicolas, et al.
Pubblicazione: (2025)

Transfer Learning Beyond the Standard Model
di: Krishnaraj, Veena, et al.
Pubblicazione: (2025)

Large Language Models -- the Future of Fundamental Physics?
di: Heneka, Caroline, et al.
Pubblicazione: (2025)

Sampling the full hierarchical population posterior distribution in gravitational-wave astronomy
di: Mancarella, Michele, et al.
Pubblicazione: (2025)

The AI Cosmologist I: An Agentic System for Automated Data Analysis
di: Moss, Adam
Pubblicazione: (2025)

Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
di: Valogiannis, Georgios, et al.
Pubblicazione: (2023)

Graph-based Summary Statistics for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays
di: Alakhras, M., et al.
Pubblicazione: (2025)

Glitches far from transient gravitational-wave events do not bias inference
di: Hourihane, Sophie, et al.
Pubblicazione: (2025)

Optimizing searches for gravitational wave bursts using coherent WaveBurst 2G
di: Martini, Alessandro, et al.
Pubblicazione: (2025)

LensingFlow: An Automated Workflow for Gravitational Wave Lensing Analyses
di: Wright, Mick, et al.
Pubblicazione: (2025)

Reconstruction of Black Hole Ringdown Signals with Data Gaps using a Deep-Learning Framework
di: Lai, Jing-Qi, et al.
Pubblicazione: (2025)

SlotFlow: Amortized Trans-Dimensional Inference with Slot-Based Normalizing Flows
di: Houba, Niklas, et al.
Pubblicazione: (2025)

Wavelets for power spectral density estimation of gravitational wave data
di: Zhu, Jin-Bao, et al.
Pubblicazione: (2025)

One-stop strategy to search for long-duration gravitational-wave signals
di: Tenorio, Rodrigo, et al.
Pubblicazione: (2024)

FluxMC: Rapid and High-Fidelity Inference for Space-Based Gravitational-Wave Observations
di: Liang, Bo, et al.
Pubblicazione: (2026)

Extraction of gravitational wave signals from LISA data in the presence of artifacts
di: Castelli, Eleonora, et al.
Pubblicazione: (2024)

Gauge Theoretic Signal Processing I: The Commutative Formalism for Single-Detector Adaptive Whitening
di: Kennington, James, et al.
Pubblicazione: (2026)

Analyzing black-hole ringdowns II: data conditioning
di: Siegel, Harrison, et al.
Pubblicazione: (2024)