Copertina

The AI Cosmologist I: An Agentic System for Automated Data Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Moss, Adam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Artificial Intelligence Data Analysis, Statistics and Probability
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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)

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

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

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

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

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)

Observability of Acausal and Uncorrelated Optical-Quasar Pairs for Quantum-Mechanical Experiments
di: Steinbring, Eric
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)

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

Physically-motivated priors in the local distance ladder significantly reduce the Hubble tension
di: Högås, Marcus, et al.
Pubblicazione: (2026)

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

Can AI Understand Our Universe? Test of Fine-Tuning GPT by Astrophysical Data
di: Wang, Yu, et al.
Pubblicazione: (2024)

Gravitational Wave Signal Extraction Against Non-Stationary Instrumental Noises with Deep Neural Network
di: Xu, Yuxiang, et al.
Pubblicazione: (2024)

Dealing with data gaps for TianQin with massive black hole binary signal
di: Wang, Lu, et al.
Pubblicazione: (2024)

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

Testing the Constancy of Type Ia Supernova Luminosities with Gaussian Process
di: Rana, Akshay
Pubblicazione: (2025)

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

cosmosage: A Natural-Language Assistant for Cosmologists
di: de Haan, Tijmen
Pubblicazione: (2024)

Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes
di: Çakır, Ufuk, et al.
Pubblicazione: (2024)

Nucleation regions in the Large-Scale Structure II: Morphology and dynamical state of supercluster cores
di: Zúñiga, J. M., et al.
Pubblicazione: (2025)

Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
di: Guo, Yuduo, et al.
Pubblicazione: (2026)

Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks
di: Garuda, Nikhil, et al.
Pubblicazione: (2024)

Mind the Information Gap: Unveiling Detailed Morphologies of z 0.5-1.0 Galaxies with SLACS Strong Lenses and Data-Driven Analysis
di: Legin, Ronan, et al.
Pubblicazione: (2025)

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