论文标题

欧几里得:与互补外部探针有关宇宙距离双重性关系的预测约束

Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes

论文作者

Martinelli, M., Martins, C. J. A. P., Nesseris, S., Sapone, D., Tutusaus, I., Avgoustidis, A., Camera, S., Carbone, C., Casas, S., Ilić, S., Sakr, Z., Yankelevich, V., Auricchio, N., Balestra, A., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Capobianco, V., Carretero, J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conversi, L., Corcione, L., Dubath, F., Ealet, A., Frailis, M., Franceschi, E., Fumana, M., Garilli, B., Gillis, B., Giocoli, C., Grupp, F., Haugan, S. V. H., Holmes, W., Hormuth, F., Jahnke, K., Kermiche, S., Kilbinger, M., Kitching, T. D., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Marggraf, O., Markovic, K., Massey, R., Mei, S., Meneghetti, M., Meylan, G., Moscardini, L., Niemi, S., Padilla, C., Paltani, S., Pasian, F., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L., Pozzetti, L., Raison, F., Rhodes, J., Roncarelli, M., Saglia, R., Schneider, P., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Sureau, F., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Valenziano, L., Vassallo, T., Wang, Y., Welikala, N., Weller, J., Zacchei, A.

论文摘要

在带有光子数量保守的重力理论中,光度和角直径距离通过以太林顿关系相关,也称为距离二元性关系(DDR)。违反这种关系将排除标准的宇宙学范式,并指出存在新物理学的存在。我们量化了欧几里得与当代调查相结合的能力,以改善与红移范围内DDR偏离偏差的当前限制$ 0 <z <z <1.6 $。我们从对最新可用数据的分析开始,将前报告的限制提高了2.5倍。然后,我们使用标准参数方法(依赖于可能违规的现象学描述)和使用遗传算法进行机器学习重建,对模拟的欧几里得和外部数据产品进行详细分析。我们发现,对于参数方法,Euclid可以(与外部探针结合使用)将电流约束提高约六倍,而对于非参数方法,欧几里得可以将电流约束提高三个。我们的结果强调了像Euclid这样的调查在准确测试当前宇宙学范式的支柱和限制标准宇宙学模型之外的物理学的柱子上的重要性。

In metric theories of gravity with photon number conservation, the luminosity and angular diameter distances are related via the Etherington relation, also known as the distance-duality relation (DDR). A violation of this relation would rule out the standard cosmological paradigm and point at the presence of new physics. We quantify the ability of Euclid, in combination with contemporary surveys, to improve the current constraints on deviations from the DDR in the redshift range $0<z<1.6$. We start by an analysis of the latest available data, improving previously reported constraints by a factor of 2.5. We then present a detailed analysis of simulated Euclid and external data products, using both standard parametric methods (relying on phenomenological descriptions of possible DDR violations) and a machine learning reconstruction using Genetic Algorithms. We find that for parametric methods Euclid can (in combination with external probes) improve current constraints by approximately a factor of six, while for non-parametric methods Euclid can improve current constraints by a factor of three. Our results highlight the importance of surveys like Euclid in accurately testing the pillars of the current cosmological paradigm and constraining physics beyond the standard cosmological model.

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