Two-Axis Residual Map: Testing Vortex-Return Predictions with Pantheon+ SN Ia Data

# Two-Axis Residual Map: Testing Vortex-Return Predictions with Pantheon+ SN Ia Data **Author:** Shino Sanada **Affiliation:** Independent Researcher, Hokkaido, Japan **Date:** July 2026 --- ## Summary This analysis tests a specific prediction of the vortex-return model (Sanada, 2026) against the Pantheon+SH0ES Type Ia supernova dataset (Scolnic et al. 2022, Brout et al. 2022). ### Prediction The vortex-return model predicts that the Hubble tension is not a simple discrepancy between measurements, but a phase-return residual left in the inner projection of a toroidal return field. Specifically: 1. Deviation from λ = 1 concentrates near a phase-crossing redshift z_phase ≈ 0.452. Deviation carries θ dependence from the CMB dipole axis — directional asymmetry peaks at z_phase3. Isotropic ΛCDM predicts no θ dependence4. Smooth dark energy models predict z dependence but no θ dependence5. **Only vortex return predicts both z and θ coupling** This prediction was posted on the FQXi forum prior to the present analysis. ### Method - **Data:** Pantheon+SH0ES (1,590 SNe Ia after z > 0.01 cut)- **ΛCDM baseline:** Flat ΛCDM with H₀ = 73.04 km/s/Mpc, Ωm = 0.334- **Residual:** Δμ = m_b_corr − μ_ΛCDM(z) − ⟨offset⟩- **Binning:** (z, θ) where θ = angular separation from CMB dipole direction (RA=167.99°, Dec=−6.94°)- **z bins:** [0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.8, 1.0, 1.5, 2.5]- **θ bins:** 6 bins of 30° from 0° to 180° ### Results At z ∈ [0.35, 0.55), the distance modulus residual shows θ dependence: | θ range | N_SNe | ⟨Δμ⟩ (mag) | σ_mean ||---------|-------|-------------|--------|| 0°–30° | 30 | +0.026 | 0.024 || 30°–60° | 6 | +0.091 | 0.036 || 60°–90° | 47 | −0.005 | 0.024 || 90°–120° | 26 | −0.012 | 0.024 || 120°–150° | 66 | −0.029 | 0.014 || 150°–180° | 30 | −0.014 | 0.030 | - Linear slope: −0.00054 mag/deg- Total Δμ change over 180°: 0.097 mag (~5% in distance)- Toward the CMB dipole: supernovae appear slightly brighter (closer)- Away from the dipole: supernovae appear slightly fainter (more distant) Isotropic ΛCDM predicts zero slope. The observed gradient is consistent with the direction predicted by the vortex-return model. ### Caveats - The 30°–60° bin contains only 6 SNe and is statistically unreliable- Per-bin sample sizes (6–66) limit statistical significance- This is a preliminary directional analysis; systematic uncertainties (dust, survey footprint, selection effects) have not been fully characterized- The result should be interpreted as **indicative, not conclusive** ### Significance No prior analysis of the Pantheon+ dataset has applied (z, θ) binning relative to the CMB dipole axis to test for coupled directional asymmetry. The prediction of θ dependence at z_phase was made before this analysis was performed. The data shows a signal consistent with the predicted direction, pending confirmation with larger datasets (e.g., Nancy Grace Roman Space Telescope, launching August 30, 2026). ### Files - `vortex_analysis.py` — Complete analysis code (Python 3.8+, requires numpy, pandas, matplotlib, scipy, astropy)- `two_axis_residual_map.png` — Figure: Two-axis residual map Δμ(z, θ)- `theta_dependence_z045.png` — Figure: θ dependence at z ∈ [0.35, 0.55) ### Data Source Pantheon+SH0ES Data Release: https://github.com/PantheonPlusSH0ES/DataRelease ### References - Scolnic et al. (2022), "The Pantheon+ Analysis: The Full Data Set and Light-curve Release," ApJ 938, 113- Brout et al. (2022), "The Pantheon+ Analysis: Cosmological Constraints," ApJ 938, 110- Riess et al. (2022), "A Comprehensive Measurement of the Local Value of the Hubble Constant," ApJ 934, L7

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21380438
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-Axis Residual Map: Testing Vortex-Return Predictions with Pantheon+ SN Ia Data

SHINO SANADA
Zenodo (CERN European Organization for Nuclear Research)
Gamma-ray bursts and supernovae
article

Two-Axis Residual Map: Testing Vortex-Return Predictions with Pantheon+ SN Ia Data

SHINO SANADA
article en

Abstract

# Two-Axis Residual Map: Testing Vortex-Return Predictions with Pantheon+ SN Ia Data **Author:** Shino Sanada **Affiliation:** Independent Researcher, Hokkaido, Japan **Date:** July 2026 --- ## Summary This analysis tests a specific prediction of the vortex-return model (Sanada, 2026) against the Pantheon+SH0ES Type Ia supernova dataset (Scolnic et al. 2022, Brout et al. 2022). ### Prediction The vortex-return model predicts that the Hubble tension is not a simple discrepancy between measurements, but a phase-return residual left in the inner projection of a toroidal return field. Specifically: 1. Deviation from λ = 1 concentrates near a phase-crossing redshift z_phase ≈ 0.452. Deviation carries θ dependence from the CMB dipole axis — directional asymmetry peaks at z_phase3. Isotropic ΛCDM predicts no θ dependence4. Smooth dark energy models predict z dependence but no θ dependence5. **Only vortex return predicts both z and θ coupling** This prediction was posted on the FQXi forum prior to the present analysis. ### Method - **Data:** Pantheon+SH0ES (1,590 SNe Ia after z > 0.01 cut)- **ΛCDM baseline:** Flat ΛCDM with H₀ = 73.04 km/s/Mpc, Ωm = 0.334- **Residual:** Δμ = m_b_corr − μ_ΛCDM(z) − ⟨offset⟩- **Binning:** (z, θ) where θ = angular separation from CMB dipole direction (RA=167.99°, Dec=−6.94°)- **z bins:** [0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.8, 1.0, 1.5, 2.5]- **θ bins:** 6 bins of 30° from 0° to 180° ### Results At z ∈ [0.35, 0.55), the distance modulus residual shows θ dependence: | θ range | N_SNe | ⟨Δμ⟩ (mag) | σ_mean ||---------|-------|-------------|--------|| 0°–30° | 30 | +0.026 | 0.024 || 30°–60° | 6 | +0.091 | 0.036 || 60°–90° | 47 | −0.005 | 0.024 || 90°–120° | 26 | −0.012 | 0.024 || 120°–150° | 66 | −0.029 | 0.014 || 150°–180° | 30 | −0.014 | 0.030 | - Linear slope: −0.00054 mag/deg- Total Δμ change over 180°: 0.097 mag (~5% in distance)- Toward the CMB dipole: supernovae appear slightly brighter (closer)- Away from the dipole: supernovae appear slightly fainter (more distant) Isotropic ΛCDM predicts zero slope. The observed gradient is consistent with the direction predicted by the vortex-return model. ### Caveats - The 30°–60° bin contains only 6 SNe and is statistically unreliable- Per-bin sample sizes (6–66) limit statistical significance- This is a preliminary directional analysis; systematic uncertainties (dust, survey footprint, selection effects) have not been fully characterized- The result should be interpreted as **indicative, not conclusive** ### Significance No prior analysis of the Pantheon+ dataset has applied (z, θ) binning relative to the CMB dipole axis to test for coupled directional asymmetry. The prediction of θ dependence at z_phase was made before this analysis was performed. The data shows a signal consistent with the predicted direction, pending confirmation with larger datasets (e.g., Nancy Grace Roman Space Telescope, launching August 30, 2026). ### Files - `vortex_analysis.py` — Complete analysis code (Python 3.8+, requires numpy, pandas, matplotlib, scipy, astropy)- `two_axis_residual_map.png` — Figure: Two-axis residual map Δμ(z, θ)- `theta_dependence_z045.png` — Figure: θ dependence at z ∈ [0.35, 0.55) ### Data Source Pantheon+SH0ES Data Release: https://github.com/PantheonPlusSH0ES/DataRelease ### References - Scolnic et al. (2022), "The Pantheon+ Analysis: The Full Data Set and Light-curve Release," ApJ 938, 113- Brout et al. (2022), "The Pantheon+ Analysis: Cosmological Constraints," ApJ 938, 110- Riess et al. (2022), "A Comprehensive Measurement of the Local Value of the Hubble Constant," ApJ 934, L7

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Gamma-ray bursts and supernovae
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.