Information Theoretic Bounds on Cosmic String Detection in CMB Maps with Noise

Autor: Ciuca, Razvan, Hernández, Oscar F.
Rok vydání: 2019
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1093/mnras/stz3551
Popis: We use a convolutional neural network (CNN) to study cosmic string detection in cosmic microwave background (CMB) flat sky maps with Nambu-Goto strings. On noiseless maps we can measure string tensions down to order $10^{-9}$, however when noise is included we are unable to measure string tensions below $10^{-7}$. Motivated by this impasse, we derive an information theoretic bound on the detection of the cosmic string tension $G\mu$ from CMB maps. In particular we bound the information entropy of the posterior distribution of $G\mu$ in terms of the resolution, noise level and total survey area of the CMB map. We evaluate these bounds for the ACT, SPT-3G, Simons Observatory, Cosmic Origins Explorer, and CMB-S4 experiments. These bounds cannot be saturated by any method.
Comment: v3: corrected error in table 1 entry for the CORE experiment. This matches the erratum submitted for the version published in MNRAS. 7 pages, 1 figure, 1 table
Databáze: arXiv