Multi-scale search machine to detect cosmic strings

被引：0

作者：

Sadr, Alireza Vafaei ^{[1
,2
,3
,4
]}

Movahed, Seyed Mohammad Sadegh ^{[1
]}

Farhang, Marzieh ^{[1
]}

Ringeval, Christophe ^{[5
]}

Bouchet, Francois R. ^{[6
,7
]}

Bassett, Bruce ^{[4
,8
,9
,10
]}

Kunz, Martin ^{[2
,3
]}

机构：

[1] Shahid Beheshti Univ, Dept Phys, Tehran 19839, Iran

[2] Univ Geneva, Dept Phys Theor, 24 Quai Ernest Ansermet, CH-1211 Geneva 4, Switzerland

[3] Univ Geneva, Ctr Astroparticle Phys, 24 Quai Ernest Ansermet, CH-1211 Geneva 4, Switzerland

[4] African Inst Math Sci, 6 Melrose Rd, ZA-7945 Muizenberg, South Africa

[5] Catholic Univ Louvain, Ctr Cosmol Particle Phys & Phenomenol, B-1348 Louvain La Neuve, Belgium

[6] CNRS, UMR7095, Inst Astrophys Paris, F-75014 Paris, France

[7] Sorbonne Univ, UPMC, F-75014 Paris, France

[8] South African Astron Observ, ZA-7925 Cape Town, South Africa

[9] SKA South Africa, Pk Rd, ZA-7405 Cape Town, South Africa

[10] Univ Cape Town, Dept Maths & Appl Maths, Cape Town, South Africa

来源：

15TH MARCEL GROSSMANN MEETING, PT A | 2022年

关键词：

Cosmic background radiation; early Universe; large-scale structure; data analysis; ISODENSITY CONTOURS; STATISTICS; PEAKS; ANISOTROPY;

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Cosmic topological defects possibly formed during phase transitions in the very early universe and are theoretically well-motivated. Cosmic strings (CSs) would leave distinct imprints on CMB fluctuations. We apply certain topological and geometrical measures in a multi-scale edge-detection algorithm to CMB maps with contributions from CS network to assess the capability of the CS footprints. On the noiseless sky maps with an angular resolution of 0.9', we show that our pipeline is capable of detecting CSs with G mu as low as G mu > 4.3 x 10(-10). We also explore two powerful tree-based machine learning algorithms to perform feature importance analysis. This analysis would improve future CS searches to focus on the most significant and informative features. Our machine-learning algorithm can detect CSs with G mu > 2.1 x 10(-10) at 3 sigma level, for a noise-less experiment and angular resolution of 0.9'.

引用

页码：1160 / 1167

页数：8

共 23 条

[1] Planck 2013 results. XXV. Searches for cosmic strings and other topological defects [J].