Enlightening the CSL model landscape in inflation
- URL: http://arxiv.org/abs/2107.05470v2
- Date: Mon, 6 Dec 2021 13:33:38 GMT
- Title: Enlightening the CSL model landscape in inflation
- Authors: Gabriel Le\'on, Gabriel R. Bengochea
- Abstract summary: We propose a novel realization for the natural extrapolation of the continuous spontaneous localization (CSL) model.
We obtain a nearly scale invariant power spectrum consistent with recent observational CMB data.
This opens a vast landscape of different options for the application of the CSL model to the cosmological context.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We propose a novel realization for the natural extrapolation of the
continuous spontaneous localization (CSL) model, in order to account for the
origin of primordial inhomogeneities during inflation. This particular model is
based on three main elements: (i) the semiclassical gravity framework, (ii) a
collapse-generating operator associated to a relativistic invariant scalar of
the energy-momentum tensor, and (iii) an extension of the CSL parameter(s) as a
function of the spacetime curvature. Furthermore, employing standard
cosmological perturbation theory at linear order, and for a reasonable range
within the parameter space of the model, we obtain a nearly scale invariant
power spectrum consistent with recent observational CMB data. This opens a vast
landscape of different options for the application of the CSL model to the
cosmological context, and possibly sheds light on searches for a full covariant
version of the CSL theory.
Related papers
- Hilbert space fragmentation at the origin of disorder-free localization in the lattice Schwinger model [0.0]
We study the possibility of disorder-free localization in the lattice Schwinger model.
We argue that entanglement growth, averaged over charge sectors, is more naturally explained as either single-logarithmic or a weak power law in time.
Our results thus suggest the existence of a single ergodicity-breaking regime due to Hilbert space fragmentation.
arXiv Detail & Related papers (2024-09-12T18:00:00Z) - Latent Space Energy-based Neural ODEs [73.01344439786524]
This paper introduces a novel family of deep dynamical models designed to represent continuous-time sequence data.
We train the model using maximum likelihood estimation with Markov chain Monte Carlo.
Experiments on oscillating systems, videos and real-world state sequences (MuJoCo) illustrate that ODEs with the learnable energy-based prior outperform existing counterparts.
arXiv Detail & Related papers (2024-09-05T18:14:22Z) - Data-freeWeight Compress and Denoise for Large Language Models [101.53420111286952]
We propose a novel approach termed Data-free Joint Rank-k Approximation for compressing the parameter matrices.
We achieve a model pruning of 80% parameters while retaining 93.43% of the original performance without any calibration data.
arXiv Detail & Related papers (2024-02-26T05:51:47Z) - Real-space quantum-to-classical transition of time dependent background
fluctuations [0.0]
We show that a real-space approach can comprehensively address the quantum-to-classical transition problem in the leading order of curvature perturbations.
We extract classicality signatures from a multi-mode Gaussian state and address them primarily in terms of entanglement entropy and log-classicality.
We then extend the analysis to leading order fluctuations in $(+1)-$dimensions to show that a quantum-to-classical transition occurs in the de-Sitter expansion.
arXiv Detail & Related papers (2023-07-25T16:17:30Z) - Geometric Neural Diffusion Processes [55.891428654434634]
We extend the framework of diffusion models to incorporate a series of geometric priors in infinite-dimension modelling.
We show that with these conditions, the generative functional model admits the same symmetry.
arXiv Detail & Related papers (2023-07-11T16:51:38Z) - Modeling the space-time correlation of pulsed twin beams [68.8204255655161]
Entangled twin-beams generated by parametric down-conversion are among the favorite sources for imaging-oriented applications.
We propose a semi-analytic model which aims to bridge the gap between time-consuming numerical simulations and the unrealistic plane-wave pump theory.
arXiv Detail & Related papers (2023-01-18T11:29:49Z) - Counting Phases and Faces Using Bayesian Thermodynamic Integration [77.34726150561087]
We introduce a new approach to reconstruction of the thermodynamic functions and phase boundaries in two-parametric statistical mechanics systems.
We use the proposed approach to accurately reconstruct the partition functions and phase diagrams of the Ising model and the exactly solvable non-equilibrium TASEP.
arXiv Detail & Related papers (2022-05-18T17:11:23Z) - Emergent universe revisited through the CSL theory [0.0]
We analyze how the spectrum of primordial scalar perturbations is modified, within the emergent universe scenario.
On the other hand, a phase of super-inflation, prior to slow-roll inflation, is a characteristic feature of the emergent universe hypothesis.
arXiv Detail & Related papers (2021-08-02T13:38:04Z) - Discussions about the landscape of possibilities for treatments of
cosmic inflation involving continuous spontaneous localization models [0.0]
We consider a wide variety of alternatives opened when applying the continuous spontaneous localization (CSL) dynamical collapse theory to the inflationary era.
The definitive resolution of many of the issues discussed here will have to await, not only for a general relativistic CSL theory, but for a fully workable theory of quantum gravity.
arXiv Detail & Related papers (2020-08-11T03:11:21Z) - Comment on "Cosmic Microwave Background Constraints Cast a Shadow On
Continuous Spontaneous Localization Models" [0.0]
We argue that, for most natural choices, the direct application of the continuous spontaneous localization (CSL) theory to the inflationary case is ruled out by observational data.
We point out that such results are based on the consideration of a rather narrow set of choices for the application of the theory to the cosmological context.
arXiv Detail & Related papers (2020-06-07T00:44:25Z) - Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation [105.33409035876691]
This paper explores the problem of multi-view spectral clustering (MVSC) based on tensor low-rank modeling.
We design a novel structured tensor low-rank norm tailored to MVSC.
We show that the proposed method outperforms state-of-the-art methods to a significant extent.
arXiv Detail & Related papers (2020-04-30T11:52:12Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.