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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Feb 27, 2026 - Python
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observational-cosmology
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Mar 11, 2026 - Python
Using deep learning and genetic algorithms to speed-up Bayesian inference.
deep-learning torch neural-networks bayesian-inference genetic-algorithms nested-sampling observational-cosmology
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Oct 15, 2024 - Python
Brief tutorial on the SimpleMC code for cosmological parameter estimation.
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Oct 27, 2022 - Jupyter Notebook
CMB Cold Spots as Energy Conservation Signatures: A Pedagogical Framework for Understanding Supervoid ISW Effects
cosmology astrophysics large-scale-structure pedagogy conservation-laws theoretical-physics general-relativity dark-energy cosmic-microwave-background science-communication gravitational-physics observational-cosmology energy-conservation arxiv-preprint physics-education structure-formation cmb-anomalies integrated-sachs-wolfe supervoids eridanus-cold-spot
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Jan 6, 2026
Quantization in Cosmic Void Size Distributions: A Causality-Limited Formation Framework
open-science statistical-analysis cosmology astrophysics large-scale-structure quantization causality theoretical-physics sdss preprint dark-energy peer-review cosmic-web observational-cosmology cosmic-voids structure-formation harmonic-structure testable-predictions recombination-epoch void-catalog
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Jan 19, 2026
Hubble Tension, Dark Energy, and Quantum Gravity: Unified Resolution via Finite Energy Conservation
information-theory quantum-mechanics computational-physics ligo thermodynamics cosmology gravitational-waves general-relativity dark-matter quantum-gravity dark-energy desi black-holes observational-cosmology energy-conservation hubble-tension planck-scale emergent-spacetime discrete-processing cmb-anomalies
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Jan 6, 2026
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