Recent advances in optical counterpart observations have greatly
reduced the uncertainties in the distance to Gamma Ray Bursts(GRBs). Based on
some theoretical models, the GRBs are produced at the end of the life time
of massive stars. Since the life time of the massive stars is relatively
small, it is argued (Totani [1997], [1998]) that the
GRB density should be similar to that of the star formation rate (SFR).
This model is plausible as it puts the GRBs at larger distance scales
(Wijers [1997]) than the redshift of
for the dim bursts in the conventional model, thus solving the problem
that there is a lack of normal galaxies in the error boxes if they are at
redshift of
(Schaefer [1997]).
Such a scenario can be confronted directly with the experimental
evidence at hand. It is unclear to what extent this model is supported by
the recent determination of the redshifts of a few GRB counterparts,
GRB 970508 at 0.85 < z < 2.1 (Metzger [1997]), GRB 971214 at
(Kulkarni [1998]) and GRB 980703 at
(Djorgovski [1998]). Two of these apparently faint events
have host galaxies with
(Castro-Tirado [1997];
Kulkarni [1998]), while the third is similar in brightness but
have a bright host galaxy with
,
therefore GRBs might have
a broad luminosity function.
An alternative approach will be using other indirect methods of distance measurement to determine the distance to GRBs and hence the intrinsic luminosity. Totani ([1998]) examined the GRB number vs. brightness relation and attempted to constrain the GRB density rate to probe the star formation history. However, when the standard candle luminosity assumption is relaxed (Krumholz [1998]) and an intrinsic luminosity function is introduced, it is found that the GRB number vs. peak flux relation can be accommodated by a very broad range of models with either comoving densities or distributions tracing star formation history.
In this paper, we use the observed effect of time dilation (Norris et al. [1995]; Deng & Schaefer [1998]) to constrain the distance scale of GRBs and compare the result to that predicted by the SFR models.
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