Author Correction: A fast radio burst source at a complex magnetized site in a barred galaxy

Xu, Heng; Niu, Jiarui; Chen, P; Lee, K. J.; Zhu, Weiwei; Dong, Shikui; Zhang, Bing; Jiang, Jiancheng; Wang, B J; Xu, Jiawei; Zhang, C F; Fu, Hai; Filippenko, A. V.; Peng, Eric W.; Zhou, Defu; Zhang, Y K; Wang, P; Feng, Yi; Li, Y; Brink, Thomas G.; Li, Dongzi; Lu, W.; Yang, Yuan-Pei; Caballero, R. N.; Cai, Chuanbing; Chen, M Z; Dai, Z. G.; Djorgovski, S. G.; Esamdin, Ali; Gan, Hai-Xian; Guhathakurta, Puragra; Han, J. L.; Hao, Longfei; Huang, Yaohuan; Jiang, Peng; Li, Cheng-Kui; Li, Di; Li, He Ping; Li, X Q; Li, Z X; Liu, Z Y; Luo, Rui; Men, Yunpeng; Niu, C.H.; Peng, Wanyue; Qian, Lei; Song, Liming; Stern, Daniel; Stockton, Alan; Sun, Jinghai; Wang, F. Y.; Wang, M; Wang, Na; Wang, W Y; Wu, X F; Xiao, Shuai; Xiong, S. L.; Xu, Yang; Xu, R. X.; Yang, Jun; Yang, Xiaoniu; Yao, Run-Min; Yi, Q. B.; Yue, Youling; Yu, Daqi; Yu, Wenfei; Yuan, Jianping; Zhang, Bin-Bin; Zhang, S B; Zhang, Shuang‐Nan; Zhao, Yang; Zheng, W.; Zhu, Yuqing; Jian, Zou

doi:10.1038/s41586-022-05493-4

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It may range from several ten to several hundred pc cm −3 . For example, Xu et al (2022) estimated the DM host of FRB20201124A to be in the range of 10 ∼ 310 pc cm −3 , while Niu et al (2022) estimated that of FRB20190520B to be as large as 900 pc cm −3 . To account for the possible existence of large DM host value, we assume that it follows the log-normal distribution (Macquart et al 2020;Zhang et al 2020),…”

Section: Methodsmentioning

confidence: 99%

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Lin,

Zou

2023

Preprint

View full text Add to dashboard Cite

We investigate the fraction of baryon mass in intergalactic medium (f IGM ), using 18 well-localized FRBs in the redshift range z ∈ (0.0039, 0.66). We construct a fiveparameter Bayesian inference model, with the probability distributions of dispersion measures (DM) of IGM and host galaxy properly taken into account. To check the possible redshift evolution, we parameterize f IGM as a mildly evolving function of redshift,. By simultaneously constraining five parameters, we get f IGM,0 = 0.92 +0.06 −0.12 and α = 0.49 +0.59 −0.47 , and the median value of DM of host galaxy is exp(µ) = 72.49 +33.31 −25.62 pc cm −3 . By fixing two parameters which can be constrained independently with other observations, we obtain α = 0.11 +0.24 −0.27 in the three-parameter fit, which is consistent with zero within 1σ uncertainty. Monte Carlo simulations show that even 300 FRBs are not enough to tightly constrain five parameters simultaneously. This is mainly caused by the correlation between parameters. Only if two parameters are fixed, 100 FRBs are necessary to achieve unbiased constraints on the remaining parameters.

show abstract

Section: Methodsmentioning

confidence: 99%

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Lin,

Zou

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…At present, there is still little knowledge of the host term DM host due to the absence of detailed observation of the local environment of most FRB sources. It may vary on a large scale, ranging from several tens (Xu et al 2022) to several hundreds (Niu et al 2022) of pc cm −3 . To account for the large variation of DM host , it is usually modeled by the lognormal distribution (Macquart et al 2020;Zhang et al 2020),…”

Section: Inferring the Redshift Of Chime/frbmentioning

confidence: 99%

Revised Constraints on the Fast Radio Burst Population from the First CHIME/FRB Catalog

Lin,

Zou

2024

ApJ

View full text Add to dashboard Cite

In this paper, we investigate the fast radio burst (FRB) population using the first CHIME/FRB catalog. We first reconstruct the extragalactic dispersion measure–redshift relation (DME–z relation) from well-localized FRBs, then use it to infer the redshift and isotropic energy of the first CHIME/FRB catalog. The intrinsic energy distribution is modeled by the power law with an exponential cutoff, and the selection effect of the CHIME telescope is modeled by a two-parametric function of specific fluence. For the intrinsic redshift distribution, the star formation history (SFH) model and five other SFH-related models are considered. We construct the joint likelihood of fluence, energy, and redshift, and all the free parameters are constrained simultaneously using the Bayesian inference method. The Bayesian information criterion (BIC) is used to choose the model that best matches the observational data. For comparison, we fit our models with two data samples, i.e., the Full sample and the Gold sample. The power-law index and cutoff energy are tightly constrained to be 1.8 ≲ α ≲ 1.9 and log ( E c / erg ) ≈ 42 , which are almost independent of the redshift distribution model and the data sample we choose. The parameters involving the selection effect strongly depend on the data sample but are insensitive to the redshift distribution model. According to BIC, the pure SFH model is strongly disfavored by both the Full sample and Gold sample. For the other five SFH-related redshift distribution models, most of them can match the data well if the parameters are properly chosen. Therefore, with the present data, it is still premature to draw a conclusion on the FRB population.

show abstract

“…Usually, a Gaussian distribution is used to describe [41][42][43]. However, theoretical results and numerical simulations show that the probability distribution of can be modeled using a quasi-Gaussian distribution [18,44],…”

Section: λCdmmentioning

confidence: 99%

“…where , is the effective standard deviation, and α and β are related to the inner density profile of gas in haloes. Hydrodynamic simulations show that provides the best fit to the model [18,44];…”

Section: λCdmmentioning

confidence: 99%

Possible bias of the constraints on the Hubble constant owing to the quasi-Gaussian distribution of DM_IGM in fast radio bursts*

Chen 陈,

Li 李

2024

Chinese Phys. C

View full text Add to dashboard Cite

Fast radio bursts (FRBs) are useful cosmological probes with numerous applications in cosmology. The distribution of the dispersion measure contribution from the intergalactic medium is a key issue. A quasi-Gaussian distribution has been used to replace the traditional Gaussian distribution, which yields promising results. However, our work suggests that there may be additional challenges in its application. Here we use 35 well-localized FRBs to constrain the Hubble constant H0 along with two FRB-related parameters, yielding H0 =60.99+4.57 −4.90 km s-1 Mpc-1. The best-fitting Hubble constant H0 is smaller than the value obtained from the Cosmic Microwave Background (CMB), which may be caused by the small sample size of current FRB data. Monte Carlo simulations indicate that a set of 100 simulated FRBs provides a more precise fitting result for the Hubble constant. But the precision of the Hubble constant does not improve when further enlarging the FRB sample. Further simulations reveal a systematic deviation in the fitting results of H0, attributed to the quasi-Gaussian distribution of dispersion measure in the intergalactic medium. Despite this, the results remain reliable within the 1σ uncertainty, assuming a sufficient number of FRB data are available.

show abstract

Author Correction: A fast radio burst source at a complex magnetized site in a barred galaxy

Cited by 4 publications

References 0 publications

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Revised Constraints on the Fast Radio Burst Population from the First CHIME/FRB Catalog

Possible bias of the constraints on the Hubble constant owing to the quasi-Gaussian distribution of DM_IGM in fast radio bursts*

Contact Info

Product

Resources

About

Author Correction: A fast radio burst source at a complex magnetized site in a barred galaxy

Cited by 4 publications

References 0 publications

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Probing the baryon mass fraction in IGM and its redshift evolution with fast radio bursts using Bayesian inference method

Revised Constraints on the Fast Radio Burst Population from the First CHIME/FRB Catalog

Possible bias of the constraints on the Hubble constant owing to the quasi-Gaussian distribution of DMIGM in fast radio bursts*

Contact Info

Product

Resources

About

Possible bias of the constraints on the Hubble constant owing to the quasi-Gaussian distribution of DM_IGM in fast radio bursts*