Superfluid Helium-4 Calorimetry as a Probe of Colored Collapse Noise
Hasan Efe Karabulut
Abstract
Continuous Spontaneous Localization (CSL) and related collapse models predict a universal heating of matter. If the collapse noise is colored, i.e. has a spectral cutoff Ω far below X-ray frequencies, the X-ray bounds that exclude white-noise CSL no longer apply, and bulk heating of a medium samples the noise at the phonon frequency c_s/r_C. Superfluid helium-4, with a sound speed of about 238 m/s, samples it roughly 17 times lower in frequency than typical solids. For Lorentzian (cCSL) noise, helium is therefore more sensitive than a solid by (c_solid/c_He)^2 ≈ 280 when Ω ≪ c_He/r_C. This advantage is robust against phonon damping; the much larger ratio obtained for an ideal sharp cutoff is not. We compare projected helium constraints with all cutoff-robust bounds over the full (λ, r_C, Ω) parameter space: LISA Pathfinder and its re-analysis, the layered ultracold cantilever, cold atoms, and the heat budgets of the Earth and Moon. The mechanical bounds are scaled with their exact form factors, and the space is limited from below by a classicality requirement. At r_C = 10^-7 m, a helium calorimeter with residual unexplained heating of 10 pW/kg improves on the strongest peer-reviewed bound only by a factor of about 5 (2.4 including preprint bounds). The advantage is concentrated at small localization lengths: for r_C ≲ 3×10^-8 m the gain is about 55–75 at 10 pW/kg and about 7 even at the demonstrated level of ~100 pW/kg. For r_C ≲ 3 nm, helium would close the remaining open parameter space in a band of Ω. We propose a discriminating two-medium signature. CSL heating per unit mass is material independent for white noise, but colored noise raises the helium-to-solid ratio up to (c_solid/c_He)^2, i.e. 85–2200 for Pb to sapphire. We also show that single-mode quantum acoustics is not competitive with calorimetry, and we give a quantitative systematic budget for an underground, differential calorimeter. Version 2 adds the layered-cantilever bound, the LISA Pathfinder re-analysis, the lunar bound, a classicality lower bound, a damping analysis, a systematic budget and the two-medium signature, and corrects the novelty claims of version 1. All numbers and figures are reproducible with the accompanying Python scripts (physics.py, analysis.py), which run a built-in validation suite first.