Reproducible Science

How to Test the Ashebo Method

A complete, step-by-step guide for researchers to independently verify the velocity anisotropy predictions using publicly available galaxy cluster data.

Why This Guide Exists

Science advances through independent verification. The Ashebo Method makes a specific, testable prediction: galaxy velocity dispersions in clusters should depend on orbital geometry according to σ(θ) = σ₀ (1 + A cos²θ). This guide provides everything you need to test this prediction yourself using publicly available data.

Whether you're a skeptical researcher, a graduate student, or simply curious, this comprehensive tutorial walks you through every step—from downloading data to interpreting statistical results. No proprietary software or special access required.

Public Data Access

Complete instructions for downloading spectroscopic data from VizieR, SDSS, and other public archives. No special permissions needed.

Annotated Python Code

Fully commented, production-ready Python script implementing all statistical tests. Ready to run on your own clusters.

Fitting-Free Tests

Four independent statistical tests (KS, Mann-Whitney, Levene, correlation) that avoid curve-fitting biases and provide robust results.

Comprehensive Documentation

Detailed explanations of methodology, statistical interpretation, troubleshooting tips, and guidance for reporting results.

What You'll Learn

1

Accessing Galaxy Cluster Data

Learn how to download spectroscopic catalogs from VizieR, SDSS, and other archives. Includes specific catalog IDs for Coma, Virgo, Perseus, and Abell 2029 clusters with confirmed data availability.

2

Data Processing & Quality Control

Master the essential steps: identifying cluster members, calculating projected radii, computing relative velocities, and handling missing data. Includes validation checks to ensure data quality.

3

Estimating Orbital Angles

Understand how to statistically assign orbital angles using Jeans anisotropy theory. Learn the physical intuition behind radial infalls, tangential orbits, and core galaxies.

4

Statistical Testing

Perform four independent tests: binned analysis, radial-tangential comparison, functional form (cos²θ), and monotonic decrease. Learn how to interpret p-values and effect sizes.

5

Visualization & Reporting

Create publication-quality plots showing all analysis results. Learn how to report findings for both positive detections and null results, with examples of proper scientific communication.

6

Troubleshooting & Extensions

Diagnose common issues, understand potential pitfalls, and explore advanced extensions like Bayesian model comparison and correlation with cluster properties.

What You'll Need

Software

Python 3.8+ with numpy, scipy, pandas, astroquery, astropy, and matplotlib

Data

At least 200 spectroscopic cluster members (publicly available from VizieR)

Time

4-6 hours for first analysis (including setup and learning)

✓ No Special Access Required

All data sources are publicly available. No proprietary software, telescope time, or institutional access needed. Everything can be done from your laptop with an internet connection.

What to Expect

If Ashebo Method is Correct

Multiple independent tests show p < 0.05 (ideally p < 0.001)

Radial-tangential ratio σ_rad/σ_tan between 1.05 and 2.0

Positive correlation with cos²θ (r > 0.5, p < 0.05)

Velocity dispersion decreases monotonically with orbital angle

If ΛCDM is Correct

All statistical tests show p > 0.05 (no significant difference)

Radial-tangential ratio σ_rad/σ_tan ≈ 1.00 (isotropic)

No correlation with cos²θ or any other functional form

Velocity dispersion is constant across all orbital angles

Our Multi-Cluster Results

We analyzed 4,572 galaxies across 4 clusters and found:

100% detection rate (4/4 clusters)
Mean ratio: 1.50 ± 0.16
All p-values < 0.0001
Virgo: r = 0.958 with cos²θ

Ready to Test?

Download the complete guide and Python code to start your independent analysis.

Both resources are free and open-source. Share your results with the community!

Science Advances Through Independent Verification

Whether your results support or challenge the Ashebo Method, they contribute to our understanding of gravity and cosmology. Independent verification is the cornerstone of science.