Non-Gaussianity constraints using future radio continuum surveys and the multitracer technique

被引:20
作者
Gomes, Zahra [1 ]
Camera, Stefano [2 ,3 ,4 ,5 ]
Jarvis, Matt J. [1 ,5 ]
Hale, Catherine [1 ,6 ]
Fonseca, Jose [5 ,7 ,8 ]
机构
[1] Univ Oxford, Dept Phys, Oxford Astrophys, Keble Rd, Oxford OX1 3RH, England
[2] Univ Torino, Dipartimento Fis, Via P Giuria 1, I-10125 Turin, Italy
[3] Ist Nazl Fis Nucl, Sez Torino, Via P Giuria 1, I-10125 Turin, Italy
[4] INAF Ist Nazl Astrofis, Osservatorio Astrofis Torino, Str Osservatorio 20, I-10025 Pino Torinese, Italy
[5] Univ Western Cape, Dept Phys, ZA-7535 Bellville, South Africa
[6] CSIRO Astron & Space Sci, 26 Dick Perry Ave, Perth, WA 6151, Australia
[7] Univ Padua, Dipartimento Fis & Astron G Galilei, Via Marzolo 8, I-35131 Padua, Italy
[8] Ist Nazl Fis Nucl, Sez Padova, Via Marzolo 8, I-35131 Padua, Italy
基金
新加坡国家研究基金会; 英国科学技术设施理事会;
关键词
galaxies: active; cosmological parameters; inflation; large-scale structure of Universe; radio continuum: galaxies; PRIMORDIAL NON-GAUSSIANITY; REDSHIFT DISTRIBUTIONS; POWER SPECTRUM; GALAXY; BIAS; ENVIRONMENTS; INFORMATION; MORPHOLOGY; LIMITS; TESTS;
D O I
10.1093/mnras/stz3581
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Tighter constraints on measurements of primordial non-Gaussianity (PNG) will allow the differentiation of inflationary scenarios. The cosmic microwave background bispectrum - the standard method of measuring the local non-Gaussianity - is limited by cosmic variance. Therefore, it is sensible to investigate measurements of non-Gaussianity using the large-scale structure. This can be done by investigating the effects of non-Gaussianity on the power spectrum on large scales. In this study, we forecast the constraints on the local PNG parameter f(NL) that can be obtained with future radio surveys. We utilize the multitracer method that reduces the effect of cosmic variance and takes advantage of the multiple radio galaxy populations that are differently biased tracers of the same underlying dark matter distribution. Improvements on previous work include the use of observational bias and halo mass estimates, updated simulations, and realistic photometric redshift expectations, thus producing more realistic forecasts. Combinations of Square Kilometre Array simulations and radio observations were used as well as different redshift ranges and redshift bin sizes. It was found that in the most realistic case the 1 sigma error on f(NL) falls within the range 4.07-6.58, rivalling the tightest constraints currently available.
引用
收藏
页码:1513 / 1522
页数:10
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