Image de couverture de livre

IrisML: Neural Posterior Estimation for the Spectral Energy Distribution fitting

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kapusta, Mateusz
Format:	Preprint
Publié:	2025
Sujets:	Instrumentation and Methods for Astrophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Kilonova Spectral Inverse Modelling with Simulation-Based Inference: An Amortized Neural Posterior Estimation Analysis
par: Darc, P., et autres
Publié: (2023)

Neural Posterior Estimation for White Dwarf Spectroscopic Characterization
par: Vincent, Olivier, et autres
Publié: (2025)

Simulation-Based Inference with Neural Posterior Estimation applied to X-ray spectral fitting: Demonstration of working principles down to the Poisson regime
par: Barret, Didier, et autres
Publié: (2024)

Lens Modeling of STRIDES Strongly Lensed Quasars using Neural Posterior Estimation
par: Erickson, Sydney, et autres
Publié: (2024)

Robustness of Neural Ratio and Posterior Estimators to Distributional Shifts for Population-Level Dark Matter Analysis in Strong Gravitational Lensing
par: Filipp, Andreas, et autres
Publié: (2024)

Spectral fit residuals as an indicator to increase model complexity
par: Acharya, Anshuman, et autres
Publié: (2024)

Neural Posterior Estimation for UHECR source inference from 3D propagation simulations
par: Bourriche, Nadine, et autres
Publié: (2026)

Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation
par: Savchenko, Oleg, et autres
Publié: (2025)

ExoIris: fast exoplanet transmission spectroscopy in Python
par: Parviainen, Hannu
Publié: (2025)

Neural Posterior Estimation of Terrain Parameters from Radar Sounder Data
par: Corso, Jordy Dal, et autres
Publié: (2026)

Nonlinear fitting of undersampled discrete datasets in astronomy
par: Chilingarian, Igor, et autres
Publié: (2025)

Accurate photometric calibration by fitting the system transmission
par: Garrappa, S., et autres
Publié: (2024)

Pixellated Posterior Sampling of Point Spread Functions in Astronomical Images
par: Stone, Connor, et autres
Publié: (2025)

On Validating Angular Power Spectral Models for the Stochastic Gravitational-Wave Background Without Distributional Assumptions
par: Zhang, Xiangyu, et autres
Publié: (2025)

X-ray spectral fitting with Monte Carlo Dropout Neural Networks
par: Tutone, A., et autres
Publié: (2025)

PySSED: an automated method of collating and fitting stellar spectral energy distributions
par: McDonald, Iain, et autres
Publié: (2024)

jaxspec : a fast and robust Python library for X-ray spectral fitting
par: Dupourqué, Simon, et autres
Publié: (2024)

An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 data
par: Quispe-Huaynasi, F., et autres
Publié: (2025)

Robust AGN and host-galaxy decomposition in optical spectral fitting
par: Aydar, C., et autres
Publié: (2026)

A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior
par: Kern, Nicholas
Publié: (2025)

The impact of the point spread function fitting radius on photometric uncertainty based on the Fisher information matrix
par: Espinosa, Sebastian, et autres
Publié: (2025)

Spectral response of SPHEREx
par: Hui, Howard, et autres
Publié: (2026)

Improving Posterior Inference of Galaxy Properties with Image-Based Conditional Flow Matching
par: Yunus, Mikaeel, et autres
Publié: (2025)

Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks
par: Luo, Zhijian, et autres
Publié: (2024)

AGNfitter: A Bayesian MCMC approach to fitting spectral energy distributions of AGN
par: Calistro-Rivera, Gabriela, et autres
Publié: (2016)

Event Reconstruction for Radio-Based In-Ice Neutrino Detectors with Neural Posterior Estimation
par: Heyer, Nils, et autres
Publié: (2025)

HS-ANET: Star Spectral Type Enhanced Astrometric Calibration for Hyper Spectral Space Imaging
par: Phan, Kevin, et autres
Publié: (2025)

Sifting the debris: Patterns in the SNR population with unsupervised ML methods
par: Bufano, F., et autres
Publié: (2024)

Validating full-spectrum fitting with a synthetic integral-field spectroscopic observation of the Milky Way
par: Wang, Zixian, et autres
Publié: (2023)

Computational Astrophysics, Data Science & AI/ML in Astronomy: A Perspective from Indian Community
par: Sharma, Prateek, et autres
Publié: (2025)

Attaining Spectral Energy Distributions With Sub-Percent Uncertainties: All-Sky DA White Dwarf Spectrophotometric Standard Stars For Large Telescopes And Surveys
par: Saha, Abhijit, et autres
Publié: (2026)

Data-Driven Stellar Spectral Modelling with GSPICE
par: Finkbeiner, Douglas P., et autres
Publié: (2025)

RotCurves: A PYTHON package for efficient modelling and fitting of galactic rotation curves at high-z
par: Shachar, A. Nestor, et autres
Publié: (2026)

A forward-modelling approach to overcome PSF smearing and fit flexible models to the chemical structure of galaxies
par: Metha, Benjamin, et autres
Publié: (2024)

{\sc ampere}: A tool to fit heterogeneous observations consistently
par: Scicluna, P., et autres
Publié: (2025)

The Hubble Advanced Spectral Product (HASP) Program
par: Debes, John, et autres
Publié: (2026)

The Mega-MUSCLES Treasury Survey: X-ray to infrared Spectral Energy Distributions of a representative sample of M dwarfs
par: Wilson, David J., et autres
Publié: (2024)

Spectral Map Making with SPHEREx
par: Cukierman, Ari J., et autres
Publié: (2026)

SEW: A full-spectrum linear fitting with stellar population synthesis method Based on "Equivalent Widths spectrum"
par: Lu, Jiafeng, et autres
Publié: (2025)

Robust Binding Energy Distribution Sampling on Amorphous Solid Water Models. Method testing and validation with NH3, CO and CH4
par: Groyne, Maria, et autres
Publié: (2025)