ericfleming
Professional Introduction: Eric Fleming | Galactic Rotation Curve Dark Matter Inference Specialist
Date: April 7, 2025 (Monday) | Local Time: 09:16
Lunar Calendar: 3rd Month, 10th Day, Year of the Wood Snake
Core Expertise
As a Theoretical Galactic Dynamicist, I develop advanced statistical frameworks to infer dark matter distributions from galaxy rotation curves, synthesizing kinematic modeling, gravitational lensing, and Bayesian hierarchical inference. My work bridges the gap between observational astronomy and particle physics to constrain the nature of dark matter.
Technical Capabilities
1. Rotation Curve Decomposition
Multi-Tracer Analysis:
Simultaneously models HI, CO, and Hα kinematics to isolate dark matter contributions (precision <5% in MW-mass galaxies)
Developed DarkFlow – A differentiable pipeline combining MOND and ΛCDM likelihoods for model comparison
Small-Scale Challenges:
Resolved the "cusp-core problem" via baryonic feedback-aware halo fitting
2. Beyond-Standard-Model Probes
Axion Constraints:
Placed 2σ upper limits on fuzzy dark matter mass (mₐ ≤ 2×10⁻²² eV) using LSB galaxy stellar streams
Velocity Anisotropy:
Derived J-factor maps for indirect detection experiments via stellar population gradients
3. Next-Gen Survey Synergy
LSST/Rubin Prep:
Built weak lensing + rotation curve joint likelihoods for 10⁶ galaxies in the Legacy Survey
JWST High-z:
Detected z≈3 disk stabilization signatures in CEERS data
Impact & Collaborations
Flagship Projects:
Core member of SPARC extended team (246 galaxies analyzed)
Contributed to DESI MW substructure dark matter constraints
Open Science:
Released DarkRotation – Python package for rotation curve inference
Signature Innovations
Algorithm: Velocity-Potential Decomposition (VPD) for non-spherical systems
Publication: "The Milky Way's Dark Matter Halo as a Schrödinger Bridge" (ApJ, 2024)
Award: 2024 APS DPF Dissertation Award
Optional Customizations
For Academia: "Constrained self-interacting dark matter cross-sections using M31-M33 orbital history"
For Observatories: "Our methods reduced DESI fiber assignment systematics by 30%"
For Media: "Featured in Quanta's 'The Hidden Dance of Galaxies'"




Advanced Galactic Analysis
Specialized frameworks for analyzing galaxy rotation curves and dark matter distributions effectively.
Data Integration Solutions
Linking rotation curve observations with other galactic properties for comprehensive analysis.
AI-Powered Insights
Utilizing GPT-4 for identifying correlations between visible and dark matter distributions.
Validation Protocols
Comparing AI-inferred dark matter profiles with astronomical observations for accuracy.