Redshift Independence of the Amati and Yonetoku Relations for Gamma-Ray Bursts ()

Walid J. Azzam, Mohamed J. Alothman

Department of Physics, College of Science, University of Bahrain, Sakhir, Kingdom of Bahrain.

**DOI: **10.4236/ijaa.2013.34042
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Department of Physics, College of Science, University of Bahrain, Sakhir, Kingdom of Bahrain.

The Amati and Yonetoku relations are two of the main energy and luminosity correlations that currently exist for gamma-ray bursts (GRBs). The Amati relation is a correlation between the intrinsic peak energy, *E*_{peak}, in the v*F*_{v} spectrum of a burst and its equivalent isotropic energy, *E*_{iso}. The Yonetoku relation is a correlation between *E*_{peak} and the isotropic peak luminosity, *L*_{iso}. In this paper, we use a recent data sample of 65 GRBs to investigate whether these two relations evolve with redshift, *z*. The *z*-correction and the k-correction are both taken into account. Our method consists of binning the data in redshift, *z*, then applying (for each bin) a fit of the form: log(*E*_{iso}) = *A* + *B*log(*E*_{peak}/<*E*_{peak}>) for the Amati relation, and of the form: log(*L*_{iso}) = *A* + *B*log(*E*_{peak}/<*E*_{peak}>) for the Yonetoku relation, where <*E*_{peak}> is the mean value of the peak energy for the entire sample. The objective is to see whether the two fitting parameters, A and B, evolve systematically with* z*. Good least-squares fits were obtained with reasonable values for the linear regression coefficient, *r*. Our results indicate that the normalization, *A*, and the slope, *B*, do not evolve with redshift, and hence the Amati and Yonetoku relations seem to be redshift independent.

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Azzam, W. and Alothman, M. (2013) Redshift Independence of the Amati and Yonetoku Relations for Gamma-Ray Bursts. *International Journal of Astronomy and Astrophysics*, **3**, 372-375. doi: 10.4236/ijaa.2013.34042.

1. Introduction

There are currently several energy and luminosity correlations for gamma-ray bursts (GRBs). Some were obtained from the light curves, like the lag-luminosity and variability relations [1,2], while others were obtained from the spectra and included the Amati relation [3-6], the Ghirlanda relation [7], the Yonetoku relation [8,9], and the Liang-Zhang relation [10]. The importance of these correlations resides in their potential use as cosmological probes that might help constrain cosmological models [11-15], and also as tools that might help probe the physics of GRBs.

On the other hand, some studies have looked at possible inherent problems that these relations might suffer from, like the circularity problem and selection effects [16-20]. However, less attention has been given to the possible redshift evolution of these correlations as evidenced by the few studies dedicated specifically to this issue [21-26]. But since these relations are typically calibrated over a wide range in redshift (roughly 0.1 < z < 8), it becomes incumbent to study their possible dependence on z, if they are to be utilized as cosmological probes.

The purpose of this paper is to investigate the possible redshift evolution of two well-known GRB energy and luminosity correlations—namely, the Amati and Yonetoku relations. The Amati relation is a correlation between the intrinsic (i.e., rest-frame) peak energy, E_{peak}, in a burst’s nF_{n} spectrum and its equivalent isotropic energy, E_{iso}. The Yonetoku relation, on the other hand, is a correlation between E_{peak} and a burst’s isotropic peak luminosity, L_{iso}.

In this paper we study the possible redshift evolution of these two relations by making use of a recent data sample consisting of 65 GRBs. The data, analysis, and results are presented in Section 2, which is followed by a discussion and summary in Section 3.

2. Data, Analysis, and Results

The data sample used in this study is taken from Geng and Huang [27], who were able to fit the time-averaged spectra of 65 GRBs using the Band function and to extract the relevant spectrum parameters. The data sample includes bursts that were observed by Swift, Konus/Wind, or Fermi. The values for E_{iso} and L_{iso} were obtained by integrating over the energy range 1 keV to 10^{4} keV in the burst’s rest frame and applying the appropriate k-correction. Although the entire data sample consists of 65 GRBs, only 53 bursts have both E_{peak} and E_{iso} values available and so these are the bursts that we used in our analysis of the Amati relation; similarly, only 47 bursts have both E_{peak} and L_{iso} values available and thus these are the bursts that we used in our analysis of the Yonetoku relation.

Our method consists of binning the data by redshift, then writing the Amati relation as:

(1)

and the Yonetoku relation as:

(2)

and then extracting the fit parameters A and B for each bin; the objective is to see whether A and B vary systematically with z. Note that we normalized E_{peak} to the corresponding mean value for the entire sample, áE_{peak}ñ, in order to avoid introducing any spurious correlations between the two fit parameters.

The binning was done by fixing the number of bursts per redshift bin, and a different number of bins was tried in order to check that the binning itself does not affect our conclusions. Table 1 shows our results for the Amati relation when a least-squares fit was used with 5 bins. The first two columns show, respectively, the bin number and the mean redshift for that particular bin. Columns 3 and 4 show the best-fit values for A and B, respectively, along with their 1s errors. The values for the linear regression coefficient, r, and its corresponding chance probability, P, were also calculated and are shown in columns 5 and 6, respectively. Table 2 is similar to Table 1 but shows our results for the Yonetoku relation. Both tables show that the goodness of the fits varied

Table 1. The best-fit values for the normalization, A, and the slope, B, along with their 1 s errors, obtained for the Amati relation. The linear regression coefficient, r, and its corresponding chance probability, P, are also shown.

from bin to bin, with some bins having very good fits while others have acceptable fits, which is probably due to the paucity of data points. A quick examination of the two tables shows that neither shows any systematic trend between the fitting parameters, A and B, and the redshift.

Figure 1 shows the best-fit lines for the Amati relation and Figure 2 shows how the corresponding values for A

Conflicts of Interest

The authors declare no conflicts of interest.

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