A pipeline for precise extraction of light curves through forward modelling of a region from time-series wide-field astronomical images
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Updated
Apr 22, 2026 - Python
A pipeline for precise extraction of light curves through forward modelling of a region from time-series wide-field astronomical images
Astro Layer Perceptron: nonparametric cosmological reconstructions with ANN
Deep learning and genetic algorithms to speed-up Bayesian inference.
Brief tutorial on the SimpleMC code for cosmological parameter estimation.
PVGU-RCUR is the unified scientific repository of the Universal Geometric Framework (UGF/PVGU). It consolidates over 15 years of independent research on geometric persistence and effective geometry into a structured, reproducible, and well-documented scientific infrastructure, including taxonomies, metadata standards, and cross-scale analysis.
CMB Cold Spots as Energy Conservation Signatures: A Pedagogical Framework for Understanding Supervoid ISW Effects
Quantization in Cosmic Void Size Distributions: A Causality-Limited Formation Framework
Hubble Tension, Dark Energy, and Quantum Gravity: Unified Resolution via Finite Energy Conservation
This project generates the largest and most detailed dark matter map from the Cosmic Microwave Background (CMB) using data from the Atacama Cosmology Telescope (ACT). It leverages advanced gravitational lensing reconstruction algorithms and high-performance computing to visualize the invisible mass distribution across the universe.
Public-data traceability archive for Hubble-constant inference, with provenance records, claim–evidence maps, numerical tables, checksums, and verification tools.
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