Cover Image

Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mitra, Ayan, Gómez-Vargas, Isidro, Zarikas, Vasilios
Format:	Preprint
Published:	2024
Subjects:	Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
by: Karchev, Konstantin, et al.
Published: (2024)

Measuring Type Ia Supernova Angular-Diameter Distances with Intensity Interferometry
by: Kim, A. G., et al.
Published: (2025)

Skykatana: a scalable framework to construct sky masks for the Vera Rubin Observatory and large astronomical surveys
by: Lopez, Claudio, et al.
Published: (2025)

Recovering CMB polarization maps with neural networks: Performance in realistic simulations
by: Casas, J. M., et al.
Published: (2023)

TITAN DR1: An Improved, Validated, and Systematically-Controlled Recalibration of ATLAS Photometry toward Type Ia Supernova Cosmology
by: Marlin, Elijah G., et al.
Published: (2025)

Markov Walk Exploration of Model Spaces: Bayesian Selection of Dark Energy Models with Supernovae
by: Schosser, Benedikt, et al.
Published: (2024)

Strong Lensing Model and Dust Extinction Maps of the Host Galaxy of Type Ia Supernova H0pe
by: Galan, A., et al.
Published: (2025)

Recovering the CMB signal with neural networks
by: Casas, J. M., et al.
Published: (2025)

On the accuracy of posterior recovery with neural network emulators
by: Bevins, H. T. J., et al.
Published: (2025)

The Ghana Radio Astronomy Observatory
by: Proven-Adzri, Emmanuel, et al.
Published: (2026)

Design and optimization of neural networks for multifidelity cosmological emulation
by: Yang, Yanhui, et al.
Published: (2025)

The Simons Observatory: impact of bandpass, polarization angle and calibration uncertainties on small-scale power spectrum analysis
by: Giardiello, S., et al.
Published: (2024)

Ten-dimensional neural network emulator for the nonlinear matter power spectrum
by: Yang, Yanhui, et al.
Published: (2025)

The Simons Observatory: Alarms and Detector Quality Monitoring
by: Nguyen, David V., et al.
Published: (2024)

An Update on the External Calibrator for Hydrogen Observatories (ECHO)
by: Zhao, Yifan, et al.
Published: (2024)

Are classification metrics good proxies for SN Ia cosmological constraining power?
by: Malz, Alex I., et al.
Published: (2023)

Envisioning the Distance Ladder in the Era of the Habitable Worlds Observatory
by: Anand, Gagandeep, et al.
Published: (2025)

Detecting unresolved lensed SNe Ia in LSST using blended light curves
by: Bag, Satadru, et al.
Published: (2024)

Bayesian Anomaly Detection for Ia Cosmology: Automating SALT3 Data Curation
by: Leeney, S. A. K., et al.
Published: (2025)

The Simons Observatory: Design, integration, and testing of the small aperture telescopes
by: Galitzki, Nicholas, et al.
Published: (2024)

Inferring galaxy cluster masses from cosmic microwave background lensing with neural simulation based inference
by: Baxter, Eric J., et al.
Published: (2024)

Prospects of the multi-channel photometric survey telescope in the cosmological application of Type Ia supernovae
by: Wang, Zhenyu, et al.
Published: (2024)

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
by: Janken, Luca, et al.
Published: (2025)

Neural Networks Optimized by Genetic Algorithms in Cosmology
by: Gómez-Vargas, Isidro, et al.
Published: (2022)

The Simons Observatory: laboratory beam characterization for the first small aperture telescope
by: Gerras, Remington G., et al.
Published: (2024)

Extending Galactic foreground emission with neural networks
by: Puglisi, Giuseppe, et al.
Published: (2026)

How in situ atmospheric transmission can affect cosmological constraints from type Ia supernovae ?
by: Neveu, Jérémy, et al.
Published: (2022)

Physical parameter regression from black hole images via a multiscale adaptive neural network
by: Wei, Jialei, et al.
Published: (2025)

Finding Strongly Lensed Supernovae from Blended Light Curves
by: Park, Sangwoo, et al.
Published: (2026)

Dark Energy Survey Year 3 results: $w$CDM cosmology from simulation-based inference with persistent homology on the sphere
by: Prat, J., et al.
Published: (2025)

GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae
by: Hayes, Erin E., et al.
Published: (2023)

Bayesian mass mapping with weak lensing data using KARMMA -- validation with simulations and application to Dark Energy Survey Year 3 data
by: Boruah, Supranta S., et al.
Published: (2024)

Analysis of an iterative reconstruction method in comparison of the standard reconstruction method
by: Chen, Xinyi, et al.
Published: (2023)

PROTOCALC, A W-band polarized calibrator for CMB Telescopes: application to Simons Observatory and CLASS
by: Coppi, Gabriele, et al.
Published: (2025)

Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production
by: The RAIL Team, et al.
Published: (2025)

Real-Time Active Learning for optimised spectroscopic follow-up: Enhancing early SN Ia classification with the Fink broker
by: Möller, A., et al.
Published: (2025)

How to embed any likelihood into SBI: Application to Planck + Stage IV galaxy surveys and Dynamical Dark Energy
by: Abellán, Guillermo Franco, et al.
Published: (2025)

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
by: LSST Dark Energy Science Collaboration, et al.
Published: (2026)

Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling
by: Boyd, Benjamin M., et al.
Published: (2024)

Robust CMB B-mode analysis with Needlet-ILC and simulation-based inference
by: Duivenvoorden, Adriaan J., et al.
Published: (2025)