CosmoSlider: An educational tool for cosmology

Fuente: arXiv
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Hauptverfasser: Nygaard, Andreas, Hannestad, Steen, Tram, Thomas
Format: Preprint
Veröffentlicht: 2026
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author Nygaard, Andreas
Hannestad, Steen
Tram, Thomas
author_facet Nygaard, Andreas
Hannestad, Steen
Tram, Thomas
contents Understanding how cosmological parameters influence the cosmic microwave background (CMB) power spectra is a central component of modern cosmology education, but interactive exploration is often limited by computational cost or technical complexity. We present CosmoSlider, a lightweight visualization tool that enables real-time exploration of CMB power spectra as multiple cosmological parameters are varied simultaneously. The tool employs a neural-network emulator implemented using TensorFlow Lite, allowing rapid evaluation of spectra without relying on large grids of precomputed models or on-demand execution of Einstein--Boltzmann solvers. CosmoSlider is available both as an iOS application and as a web-based tool, making it accessible across platforms and suitable for use in classrooms, lectures, and self-guided study. By providing immediate visual feedback, CosmoSlider supports the development of intuition for the physical processes underlying CMB anisotropies and serves as a complementary resource to traditional theoretical instruction.
format Preprint
id arxiv_https___arxiv_org_abs_2601_16919
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle CosmoSlider: An educational tool for cosmology
Nygaard, Andreas
Hannestad, Steen
Tram, Thomas
Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
Physics Education
Understanding how cosmological parameters influence the cosmic microwave background (CMB) power spectra is a central component of modern cosmology education, but interactive exploration is often limited by computational cost or technical complexity. We present CosmoSlider, a lightweight visualization tool that enables real-time exploration of CMB power spectra as multiple cosmological parameters are varied simultaneously. The tool employs a neural-network emulator implemented using TensorFlow Lite, allowing rapid evaluation of spectra without relying on large grids of precomputed models or on-demand execution of Einstein--Boltzmann solvers. CosmoSlider is available both as an iOS application and as a web-based tool, making it accessible across platforms and suitable for use in classrooms, lectures, and self-guided study. By providing immediate visual feedback, CosmoSlider supports the development of intuition for the physical processes underlying CMB anisotropies and serves as a complementary resource to traditional theoretical instruction.
title CosmoSlider: An educational tool for cosmology
topic Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
Physics Education
url https://arxiv.org/abs/2601.16919