Imagen de Portada

DerivKit: stable numerical derivatives bridging Fisher forecasts and MCMC

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Šarčević, Nikolina, van der Wild, Matthijs, Trendafilova, Cynthia
Formato:	Preprint
Publicado:	2026
Materias:	Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Data Analysis, Statistics and Probability
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Observability of Acausal and Uncorrelated Optical-Quasar Pairs for Quantum-Mechanical Experiments
por: Steinbring, Eric
Publicado: (2025)

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

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

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

Choosing the right MCMC sampler: a systematic benchmark of gradient-free methods
por: Poppelaars, Colin M., et al.
Publicado: (2026)

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

Fisher Matrix for Beginners
por: Wittman, David
Publicado: (2025)

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

A thorough investigation of the prospects of eLISA in addressing the Hubble tension: Fisher Forecast, MCMC and Machine Learning
por: Shah, Rahul, et al.
Publicado: (2023)

Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses
por: Loureiro, Arthur, et al.
Publicado: (2026)

maria: A novel simulator for forecasting (sub-)mm observations
por: van Marrewijk, J., et al.
Publicado: (2024)

Fisher Score Matching for Simulation-Based Forecasting and Inference
por: Sui, Ce, et al.
Publicado: (2025)

Exploring the Viability of Fisher Discriminants in Galaxy Morphology Classification
por: Zakaria, Sazatul Nadhilah, et al.
Publicado: (2026)

The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending
por: Mendoza, Ismael, et al.
Publicado: (2024)

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

Simulation-based inference on warm dark matter from HERA forecasts
por: Decant, Quentin, et al.
Publicado: (2024)

Using conditional GANs for convergence map reconstruction with uncertainties
por: Whitney, Jessica, et al.
Publicado: (2024)

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

Generative modelling for mass-mapping with fast uncertainty quantification
por: Whitney, Jessica J., et al.
Publicado: (2024)

Accelerating reionization constraints: An ANN-emulator framework for the SCRIPT Semi-numerical Model
por: Sarkar, Saptarshi, et al.
Publicado: (2025)

Fast emulation of anisotropies induced in the cosmic microwave background by cosmic strings
por: Price, Matthew A., et al.
Publicado: (2023)