cifar stanford 2008 sn ia rates: theory, progenitors, and implications

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CIfAR Stanford 2008 CIfAR Stanford 2008 SN Ia Rates: Theory, SN Ia Rates: Theory, Progenitors, and Progenitors, and Implications Implications

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CIfAR Stanford 2008 SN Ia Progenitors - 2 Broad Classes Single Degenerate - white dwarf + evolving secondary (M ~ 1.4 M sun at explosion) Double Degenerate - 2 white dwarfs (M tot >= 1.4 M sun at explosion) Key point: white dwarf max mass = 1.4 M sun (Chandra- sekhar mass)

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Page 1: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SN Ia Rates: Theory, SN Ia Rates: Theory, Progenitors, and Progenitors, and

ImplicationsImplications

Page 2: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SN Ia progenitors

Why important? Among the most powerful explosions in the Universe

(next to GRBs) SNe Ia and cosmology Role in chemical evolution and gas dynamics

Scenario: exploding CO white dwarf near 1.4 Msun. Energy released (~0.5Msun CO --> 56Ni) No H in spectrum Light curve shape (radioactive decay) Presence in old stellar pops (what else could they be?)

Page 3: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SN Ia Progenitors - 2 Broad Classes

Single Degenerate - white dwarf + evolving secondary (M ~ 1.4 Msun at explosion)

Double Degenerate - 2 white dwarfs (Mtot >= 1.4 Msun at explosion)

Key point: white dwarf max mass = 1.4 Msun (Chandra- sekhar mass)

Page 4: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Two Basic Questions What is the “delay time distribution” of SNe Ia?

• What is the main sequence mass of SNe Ia progenitors?

By what evolutionary path(s) do white dwarfs become SNe Ia?

Basic questions, but no clear answers …

Page 5: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SN Ia rate depends on SFR

Mannucci et al 2006SNLS - Sullivan et al 2006

Page 6: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SN rate = A ⋅M + B ⋅SFRScannapieco and Bildsten 2005

Sullivan et al 2006

SN

R/M

SN

R/M

M SFR

Page 7: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

2 different B values

Scannapieco & Bildsten 2005

Sullivan et al 2006

passive

active

SNR /M = A + B(SFR /M)

Page 8: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SN Ia rate depends on SFR

SFR½

cf . SNR /M = A + B(SFR /M)

Page 9: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SNR = A٠M + B٠SFRSNR/M = A + B (SFR/M)

Does this imply two paths to SNeIa? … … or is there a simple unifying picture that can be

used to understand the A+B prescription for the SNIa rate? Continuum of delay times – more natural?

Why do the A and B values have the values that are observed?

Why ~√SFR dependence rather than ~SFR? Why is fit so poor in the SNR/M -- SFR/M plane?

Page 10: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Single degenerate scenario

Delay time depends on evolutionary timescale of secondary

Model

±−

+−

⋅=

∝∝

−≅−≅∝

5.0

/)1(

1/1/1 ,

5.2,35.2 timescaleevol

fcn mass

τ

τττ

ττ

τ

τ

bba

bb

b

a

ddM

dMdN

ddN

ddMM

baM

MdMdN

Page 11: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

“Rate” vs time Rate at which stars

leave main sequence white dwarf formation

rate distribution of delay

times for a burst rate from a starburst

decreases with time as ~ √t Factor of ~100x in mean

stellar age (100Myr – 10Gyr) gives factor of ~10x in SN Ia rate, as observed

starburst

rate~√t

Page 12: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Rate vs time Simple SFR(t) ~ t-η to allow for range of ages

+1

-1 -1

+1

Page 13: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

4 different values

Page 14: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Models vs Observations

Locus of WD formation rates independent of SFR(t) - includes passive galaxies

1% of WD’s become SNeIa

1% agrees with models (roughly)

1% agrees with MW (roughly)

[Disagrees with clusters (10-20%)]

Note that 1% eff is constant from active to passive galaxies!

age

Page 15: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Meaning

Single component model – not A+B Single free parameter

normalization - fSNIa Continuous distribution of

delay times Rate in active and

passive galaxies both explained naturally

Only physics is evol-utionary timescales

Page 16: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Normalization

Fraction 0.01 of all stars in the mass range 1-9 Msun become SNeIa.

“cum grano salis” (1e10 Msun) <[Fe/H]>=-0.5

1e10 Msun Salpeter mass fcn 1-9 Msun for SNIa 0.6 Msun Ni56 per SNIa

X fSNIa

6 x 106 Msun

Fe peak

Page 17: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Efficiency vs mass (SD) 1 Msun main sequence stars find it very difficult to

get to the Chandra mass and make a Type Ia SN

• Close binaries with primary < 2Msun make a He WD, not a C+O WD

• Mass arguments: 1 Msun on the m.s. makes a 0.5 Msun WD, hard to imagine 2 x 1 Msun making a 1.4 Msun WD

• Most of companions to 1 Msun stars haven’t evolved yet

• binary frequency lower for low mass objects (?)

Therefore fraction of WD’s that make SNeIa should be much lower at low masses (>10x).

Page 18: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Effects of efficiency Normalized at high mass (short timescale) end Assume efficiency drops by 10x from M=3 to 1 Msun (conservative)

Single degenerate model cannot explain all SNeIa. Some other mechanism must be involved for at least some SNeIa.

Page 19: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Han & Podsiadlowski2004

DD Scenario

Page 20: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SNLS-03D3bb (Howell et al. 2006) z=0.24, star-forming host

Most luminous SNIa ever discovered (MV=-20.0, 10 billion Lsun)

Lies off the stretch-L relation - too bright for its stretch s=1.13 by 4.4 sigma

Page 21: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

03D3bb

Requires 1.3 Msun of 56Ni to power light curve, 2Msun total mass

“normal” SNIa – 0.6 Msun of 56Ni 03D3bb is 2.2x brighter, therefore

has 2.2x Ni mass Detailed calculation using Arnett

models agrees well

Mass > Chandra mass of 1.4 Msun!

Page 22: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Cosmic SFR(z)

Hopkins and Beacom 2006

Page 23: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SNR predictions from SFR(z)

SFR(z) gives SFR(t) per Mpc^3

Normalization somewhat arbitrary

SN rate very sensitive to exact SFR(z)

Page 24: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

SNR predictions from SFR(z) Solid=model, dashed=A+B (Sullivan 2006)

Kuznetsova et al 2008

Dilday et al 2008

Page 25: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008

Conclusions SNIa rate depends on SFR “natural” explanation in terms of evolutionary timescales 1% of white dwarfs become SNeIa Single degenerate model cannot explain all SNeIa one parameter model fits active and passive

• excellent fit to data – better than A + B SFR/M• A and B naturally explained• Based on stellar evolutionary timescales• Continuous delay time distribution

Predictions:• SNIa rate will correlate with mean age from population models• SNII/SNIa• z distributions• Chem evol …

Page 26: CIfAR Stanford 2008 SN Ia Rates: Theory, Progenitors, and Implications

CIfAR Stanford 2008CIfAR Stanford 2008