2003AIP conference proceedingsRequires access

What are Luminosity Indicators Telling Us?

Nicole Lloyd-Ronning

Open publisher page 1 citations

Abstract

We find that there exists a significant correlation between GRB luminosity and redshift in the sample of 220 Gamma‐Ray Burst (GRB) that have redshifts derived from the luminosity‐variability relationship [1]. In particular, we find that the relation between luminosity and redshift can be parameterized as L ∝ (1 + z) 1.4±∼0.5. We discuss the possible reasons behind this correlation, which could result from either energy or jet opening angle evolution with redshift. In addition, we use non‐parametric statistical techniques to independently estimate the distributions of the luminosity and redshift of bursts, accounting for the luminosity evolution (in contrast to previous studies which have assumed that the luminosity function is independent of redshift). Most significantly, we find a co‐moving rate density of GRBs that continues to increase to (1 + z) > 10. From this estimate of the GRB rate density, we then use the population synthesis codes of [2] to estimate the star formation rate at high redshifts, based on different progenitor models of GRBs. We find that no matter what the progenitor or population synthesis model, the star formation rate increases or remains constant to very high redshifts (z > 10).

About this research paper

What this paper is about

We find that there exists a significant correlation between GRB luminosity and redshift in the sample of 220 Gamma‐Ray Burst (GRB) that have redshifts derived from the luminosity‐variability relationship [1]. In particular, we find that the relation between luminosity and redshift can be parameterized as L ∝ (1 + z) 1.4±∼0.5. We discuss the possible reasons behind this correlation, which could result from either energy or jet opening angle evolution with redshift. In addition, we use non‐parametric statistical techniques to independently estimate the distributions of the luminosity and redshift of bursts, accounting for the luminosity evolution (in contrast to previous studies which have assumed that the luminosity function is independent of redshift). Most significantly, we find a co‐moving rate density of GRBs that continues to increase to (1 + z) > 10. From this estimate of the GRB rate density, we then use the population synthesis codes of [2] to estimate the star formation rate at high redshifts, based on different progenitor models of GRBs. We find that no matter what the progenitor or population synthesis model, the star formation rate increases or remains constant to very high redshifts (z > 10).

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

We find that there exists a significant correlation between GRB luminosity and redshift in the sample of 220 Gamma‐Ray Burst (GRB) that have redshifts derived from the luminosity‐variability relationship [1]. In particular, we find that the relation between luminosity and redshift can be parameterized as L ∝ (1 + z) 1.4±∼0.5. We discuss the possible reasons behind this correlation, which could result from either energy or jet opening angle evolution with redshift. In addition, we use non‐parametric statistical techniques to independently estimate the distributions of the luminosity and redshift of bursts, accounting for the luminosity evolution (in contrast to previous studies which have assumed that the luminosity function is independent of redshift). Most significantly, we find a co‐moving rate density of GRBs that continues to increase to (1 + z) > 10. From this estimate of the GRB rate density, we then use the population synthesis codes of [2] to estimate the star formation rate at high redshifts, based on different progenitor models of GRBs. We find that no matter what the progenitor or population synthesis model, the star formation rate increases or remains constant to very high redshifts (z > 10).

Key concepts: Redshift, Physics, Astrophysics, Luminosity, Gamma-ray burst, Luminosity function, Population, Parametric statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
What are Luminosity Indicators Telling Us? — Research Paper | ScholarLens