Maria Dainotti · 2019-10-30 · Cosmological Distributions and Evolution of Gamma-ray Bursts and...
Transcript of Maria Dainotti · 2019-10-30 · Cosmological Distributions and Evolution of Gamma-ray Bursts and...
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Cosmological Distributions and Evolution of Gamma-ray Bursts and their relations to
Star Formation Rate and Gravitational Waves
Vahe' Petrosian
Stanford University
with
Maria Dainotti
and Ellie Kitanidis, Brad Efron
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OUTLINEI. General Remarks
Correlations and standard candles
II. The Luminosity Function and its evolution
III. Procedures:
Forward Fitting vs Non-parametric methods
IV. Results of Applications
A. Long GRBs
B. Short AGNs
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I. General Remarks
Cosmology with discrete sources
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Cosmology with Standard “Candles?”
Method For Measuring Cosmological Distance
1. Standard Candle: Constant Luminosity
2. Standard Yardstick: Constant Diameter
3. OR: Find a tight relation between a
distance dependent and a distance independent parameter
Well known examples:
A. Cepheids: Luminosity-Period relation
B. Type Ia Supernovae: Peak luminosity-Light profile width
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GRB Correlations as SC?
Examples of Correlations After Few Redshifts
1. Variability-Luminosity (Reichart et al. 2001)
2. Lag-Luminosity (Norris, Maeani & Bonnell 2000)
3. (Amati; Ghirlanda et al.)
4. And Several Variations on These
(see Schaeffer et al.)
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Band and Preece Nakar and Piran
Pseudo-Redshifts (Ghirlanda et al) Li et al.
Problems With These Correlationsin particular with
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Determination of Global Cosmological Parameters
1. Type Ia Supernovae: Standard Candle and well understood
BUT Low z
2. Galaxies and Quasars (AGNs): High z but broad distributions
Galaxies least understood astrophysical sources
3. Gamma-Ray Bursts: High z and not well understood
Question: SN-like or Galaxy-like?
Cosmology with Discrete Sources
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First Step
Determination of the Luminosity Function
Without loss of generality we can write
Is the (co-moving) Density Evolution
Is the Luminosity Evolution
Cosmology with Discrete Sources
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II. The Luminosity Function
and its Evolution
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The required data: Bivariate L-z distribution
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Bi-variate Luminosity-redshift Distribution
Missing sources: Malmquist or Eddington Bias
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Forward Fitting vs
Nonparametric EPL Methods
Efron and Petrosian ApJ 1992LyndenBell 1973
III. Procedures
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The common practice is to assume forms for the GRB
“Luminosity” Function
Luminosity Evolution
Density Evolution
Energy Spectrum Power-low, Broken Power-law, etc
Difficulty: Involves many functions each with several parameters
Uniqueness??
Procedures: 1. Forward Fitting
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Procedures: 2. Non-parametric
Some past non-parametric methods
Schmidt (1968) V/Vmax or Lynden-Bell (1973) C- methods
These however assume that Luminosity and Redshift are
Uncorrelated or are Independent variables
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Procedures: 2. Non-parametric
More recently (Efron and VP, 1992, 1999) have
developed a method that first determines the L-z
correlation; i.e.
Then remove this correlation by defining
Which is now independent of redshift and allows
Determination of all distributions non-parametrically and
directly from the data with very few assumptions or
prescribed functional forms
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•
•
Spearman Rank Order Test: Distribution of Ranks
Kendall's tau Statistic
associated sets of
• With
Sources in
the sets
1. Test of Independence
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Test of Independence
Remove the correlation by a variable transformation e.g.
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Test of Independence
Remove the correlation by a variable transformation e.g.
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Given uncorrelated or independent variables
Can account for truncation
Petrosian, 1993
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•
•
associated sets of
• With
Sources in
the sets
2. The Bivariate DistributionsBased on the associated sets
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The method gives the cumulative L and z distributions
Non-parametrically and with no binning
From these we get the sought differential distributions
The single variable distributions
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Density (rate) Evolution vs Star Formation Rate
IV. Application to
Swift Long Gammaray
Bursts
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1. Gamma-ray trigger
Peak count or flux threshold
2. Localization
X-ray flux threshold
3. Optical follow-up and Redshift
Optical Magnitude etc
Caveats: Selection Effects and Truncations
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Strong Correlation between
Gamma and X-rays
Same for GRBs with
or without redshift.
Thus, Small bias if any
(data from Nysewander et al. 2009)
2. Bias Due to X-ray Observations
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There is no good criteria for redshift bias.
The optical flux can be used as indicator but there is
no well defined limit.
Opt.-X-ray fluxes correlated
So use X-ray threshold
to correct for this bias(data from Nysewander et al. 2009)
3. Optical and Redshift Bias
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1. Test of independence Luminosity evolution
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Cumulative Distributions
Luminosity Function Rate Density Evolution
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GRB and Star Formation Rates
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GRB and Star Formation Rates
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GRB and Star Formation Rates
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SUMMARY on Long GRBs
1. In order to use GRBs as Cosmological Tools we need a better understanding of the distribution and evolution of their characteristics.
2. We have emphasized the advantages of non-parametric approach and demonstrated how to determine luminosity and rate density evolutions.
GRB Formation Rate very different than the Star Formation Rate.
3. Further studies can improve our understanding of the phenomenon which will help in using them as tools to explore
The high redshift universe.
4. In the long run, GRBs may prove to be useful for
GLOBAL cosmological studies.
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More uncertain because fewer SGRBs
1. Sample selection
Short GRBs and Gravitational WavesPreliminary results from a Swift sample of SGRB
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More uncertain because fewer SGRBs
1. Sample selection
Short GRBs and Gravitational WavesPreliminary results from a Swift sample of SGRB
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2. Results: a. Luminosity Evolution
b. Cumulative Luminosity Function c. Density Rate Evolution
Short GRBs and Gravitational WavesPreliminary results from a Swift sample of SGRB
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2. Results: a. Luminosity Evolution
b. Cumulative Luminosity Function c. Density Rate Evolution
Short GRBs and Gravitational WavesPreliminary results from a Swift sample of SGRB
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SGRB and Star Formation Rates
Paul atXiv:1710.05620
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Redshift distribution
Comparison: Short and Long GRBs
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SUMMARY: Short GRBs
1. Small samples that can be considered “complete”
2. Preliminary results show
a. Similar luminosity evolution as Long GRBs
b. Luminosity function steeper at low luminosities
c. Rate evolution similar to the low redshift part of the LGRBs:
Perhaps delayed SFR
3. The high rates of both at low redshift will have important consequence for gravitational wave rate.
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Backups
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Further Testing of the Results Assume GRB rate=SFR
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Further Testing of the Results Log N-Log S Test
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GRBs Can be useful probes for study of the early
universe such as Reionization, Star Formation Rate,
Metalicity Evolution
However
For this we need to determine the evolution of their
characteristics (e.g. Formation Rate, Luminosity, .....)
This requires a large sample with redshifts and well defined
observational selection criteria and data truncation
GRBs: As Cosmological Probes