The Type Ia Supernova Rate and Progenitor from...
Transcript of The Type Ia Supernova Rate and Progenitor from...
The Type Ia Supernova Rate and Progenitor from Transient Survey
Jun Ernesto Okumura@SN+SNR 16/10/2012
Yutaka Ihara, Mamoru Doi , Tomoki Morokuma, Reynald Pain , Tomonori Totani, Kyle Barbary, Naohiro Takanashi,
Naoki Yasuda, Greg Aldering, Kyle Dawson, Gerson Goldhaber, Isobel Hook, Chris Lidman, Saul Perlmutter,
Anthony Spadafora, Nao Suzuki, Lifan Wang
Contents
1. IntroductionSN Ia progenitor, SN Ia rate and Delay Time Distribution
2. Rate Calculation from Subaru/XMM-Newton Deep SurveyTransient Surveys (SXDS)
Rate Calculation
Classification
3. Results and FutureRate ResultFuture Survey
Type Ia Supernova
‣ Thermonuclear Explosion of White Dwarf (WD) which exceeds Chandrasekhar limit
‣ Progenitor system forms binary‣ ~ 1051 erg, MBmax= -19.1mag
‣ Spectrum is basically “Black Body+lines”
‣ Homogeneous LC→Cosmology
C+OWD? Ni
Si, S, Ca
Supectrum
Type Ia Supernova
‣ Thermonuclear Explosion of White Dwarf (WD) which exceeds Chandrasekhar limit
‣ Progenitor system forms binary‣ ~ 1051 erg, MBmax= -19.1mag
‣ Spectrum is basically “Black Body+lines”
‣ Homogeneous LC→Cosmology
? Ni
Si, S, Ca
Supectrum
Kim97’
SN Ia Progenitor models
‣ Companion: Main Sequence, Sub-Giant
‣ mass accretion from Roche-love overflow
‣ Recurrent Nova > stable nuclear burning
Single Degenerate (SD)
C+OWD
MSSub-G
Double Degenerate (DD)
C+OWD
C+OWD
‣ Companion: WD
‣ gravitational wave radiation
‣ merge of two WDs > SN Ia1. Gravitational Wave
1. Mass Transfer
2. Exceed ChandrasekharMass (~1.4 Msun)
2. Shrinkage
Observational Constraints on the progenitor
MSSub-G
C+OWD
1. Dense circumstellar matter (CSM)
No Radio & X-ray detection
(Panagia+06, Chomiuk+12’, Hancock+11’)
see also Dilday+12’, Taddia+12’→CSM
2. Hydrogen from the companion
SN2005am, SN2005cf(Leonard 07’) SN2011fe (Shappee+12’)
CSM
Observational Constraints on the progenitor
MSSub-G
1. Dense circumstellar matter (CSM)
No Radio & X-ray detection
(Panagia+06, Chomiuk+12’, Hancock+11’)
see also Dilday+12’, Taddia+12’→CSM
2. Hydrogen from the companion
SN2005am, SN2005cf(Leonard 07’) SN2011fe (Shappee+12’)
CSM
Chomiuk+12’
Leonard 07’
Observational Constraints on the progenitor
MSSub-G
C+OWD
Survivor 3. No detection of SurvivorSN2011fe (Li+11’)Tycho, SN1006 (Ruiz Lapuente+04’, Fuhrman 05’, Ihara+07’, Gonzales-Hernandez+09’, Kerzendorf+09’, Gonzales-Hernandez+12’)
4. Supersoft X-ray Sources (SSS)Di Stefano 10’, Gilfanov&Bogdan 10’but see also Hachisu+10’, Meng&Yang 11’
Observational Constraints on the progenitor
MSSub-G
C+OWD
Survivor 3. No detection of SurvivorSN2011fe (Li+11’)Tycho, SN1006 (Ruiz Lapuente+04’, Fuhrman 05’, Ihara+07’, Gonzales-Hernandez+09’, Kerzendorf+09’, Gonzales-Hernandez+12’)
4. Supersoft X-ray Sources (SSS)Di Stefano 10’, Gilfanov&Bogdan 10’but see also Hachisu+10’, Meng&Yang 11’
Nomoto+07’
Observational Constraints on the progenitor
MSSub-G
C+OWD
Survivor 3. No detection of SurvivorSN2011fe (Li+11’)Tycho, SN1006 (Ruiz Lapuente+04’, Fuhrman 05’, Ihara+07’, Gonzales-Hernandez+09’, Kerzendorf+09’, Gonzales-Hernandez+12’)
4. Supersoft X-ray Sources (SSS)Di Stefano 10’, Gilfanov&Bogdan 10’but see also Hachisu+10’, Meng&Yang 11’
Nomoto+07’
Delay Time Distribution (DTD)
‣ SFH and Delay Time Distribution (DTD)
‣ Delay Time: time duration between the birth of the binary and the explosion as a Supernova
Totani+08’
Delay Time Distribution (DTD)
‣ SFH and Delay Time Distribution (DTD)
‣ Delay Time: time duration between the birth of the binary and the explosion as a Supernova
Maoz+10’
SN Ia rate is coupled with SFH and DTD
RIa =� t
0�(t�)DTD(t� t�) dt�
Totani+08’
Delay Time Distribution (DTD)
‣ Population Synthesis Calculation
‣ SD: Lifetime of the secondary DD: WDs sepalation
‣ Theoretical absolute number lies a factor below the observation
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Meng+08Belczynski+05
Ruiz-Lapuente+98Yungelson+00
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Greggio+05Yungelson+00
Ruiz-Lapuente+98Belczynski+05SD DD
Delay Time Distribution (DTD)
‣ Population Synthesis Calculation
‣ SD: Lifetime of the secondary DD: WDs sepalation
‣ Theoretical absolute number lies a factor below the observation
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Meng+08Belczynski+05
Ruiz-Lapuente+98Yungelson+00
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Greggio+05Yungelson+00
Ruiz-Lapuente+98Belczynski+05SD DD
tIa ⇠ tGW / a4 a : separation
fsep(a) / a�
fD / fsep(a)da
dtIa/ t�(3��)/4
Ia
Delay Time Distribution (DTD)
‣ Population Synthesis Calculation
‣ SD: Lifetime of the secondary DD: WDs sepalation
‣ Theoretical absolute number lies a factor below the observation
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Meng+08Belczynski+05
Ruiz-Lapuente+98Yungelson+00
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Greggio+05Yungelson+00
Ruiz-Lapuente+98Belczynski+05SD DD
1. SN Ia rate can constrain SFHxDTD2. theoretical DTDs consists with DD model (t-1 DTD)3. Still remains contradiction in the absolute number
tIa ⇠ tGW / a4 a : separation
fsep(a) / a�
fD / fsep(a)da
dtIa/ t�(3��)/4
Ia
Delay Time Distribution (DTD)
‣ Population Synthesis Calculation
‣ SD: Lifetime of the secondary DD: WDs sepalation
‣ Theoretical absolute number lies a factor below the observation
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Meng+08Belczynski+05
Ruiz-Lapuente+98Yungelson+00
0.01
0.1
1
10
0.1 1 10
SN Ia
DTD
[cen
tury
-1 (1
010L K
,0)-1
)]
Delay Time [Gyr]
Greggio+05Yungelson+00
Ruiz-Lapuente+98Belczynski+05SD DD
1. SN Ia rate can constrain SFHxDTD2. theoretical DTDs consists with DD model (t-1 DTD)3. Still remains contradiction in the absolute number
Ruiter+11’Mennekens+10’
tIa ⇠ tGW / a4 a : separation
fsep(a) / a�
fD / fsep(a)da
dtIa/ t�(3��)/4
Ia
Mennekens+10’
Why SN Ia rate?
‣ SN Ia is crucial tool for astronomy
1. Ia cosmology: homogeneous LCs
2. Chemical Evolution: ~0.6Msun Fe per event
3. Cosmic/Galactic Star Formation History (SFH)
‣ ...but we don’t have clear comprehension about explosion mechanism, progenitor, environment
‣ SN Ia rates at high-z are not clear yet!
Numerical Simulation Statistical Constraint
Why SN Ia rate?
‣ SN Ia is crucial tool for astronomy
1. Ia cosmology: homogeneous LCs
2. Chemical Evolution: ~0.6Msun Fe per event
3. Cosmic/Galactic Star Formation History (SFH)
‣ ...but we don’t have clear comprehension about explosion mechanism, progenitor, environment
‣ SN Ia rates at high-z are not clear yet!
Numerical Simulation Statistical Constraint
10-5
10-4
0 0.5 1 1.5 2
Ia R
ate
[yr-1
Mpc
-3]
redshift
Li+’11Dahlen+’08
Neil+’06Dilday+’11Graur+’11
Barbary+’12Perrett+’12
DTD index -0.5DTD index -1.0DTD index -1.5DTD index -2.0
RIa =� t
0�(t�)DTD(t� t�) dt�
Contents
1. IntroductionSN Ia progenitor, SN Ia rate and Delay Time Distribution
2. Rate Calculation from Subaru/XMM-Newton Deep SurveyTransient Surveys (SXDS)
Rate Calculation
Classification
3. Results and FutureRate ResultFuture Survey
Transient Studies
SpectrumLight Curves
ColorsBayesian analysis
classification
production ratehost galaxyprogenitor
(galaxy evolution)
transient sampleTransient Survey
Subaru/XMM-Newton Deep Survey (SXDS)
‣ Wide (~1deg2), Deep (mlim~27mag)- Optical(Subaru / Sprime-Cam)B, V, Rc, i’, z’
- NIR(UKIDSS Survey)J, H, K
- IR(Spitzer / IRAC)3.6μm, 4.5μm
- X-ray (XMM-Newton) 0.5-2.0, 2.0-10.0keV
NAOJ
‣ 5 fields (SXDS-C, N, S, E, W)
‣ 1~10 day cadence (5-7 epochs)
‣ 1040 Transients (Morokuma+08’)
Control Time
‣ Control Time = “effective visibility time” for observer
‣ Montecarlo Simulation
<CT> = 57.54 days
Control Time & Rate Calculation
‣ Ia: spectral template (Hsiao+07’) + Nearby SDSS Ia sample
‣ CC: 12 individual template
Rate Calculation
Expected SN Ia number in redshift bin [z1, z2]
if r(z)=const. during [z1, z2]
SN candidate Selection
1.AGN-like,2. SN occured after
Transient Search370 remained
faint objects140 remained
Remove
SXDS Transient1040
Remove
24
25
26
27
28
0 50 100 150 200 250 300 350 400
mi’ [
mag
]
MJD - 52547 [day]
23.5
24
24.5
25
25.5
26 0 200 400 600 800 1000 1200
mi’ [
mag
]
MJD - 52547 [day]
25
25.5
26
26.5
27
27.5
28
28.5 0 50 100 150 200 250 300 350 400
mi’ [
mag
]
MJD - 52547 [day]
AGN-like faint
SN candidate
No variability after 2003 1. at last two points brighter than 26mag2. at least two points brighter than 5σbf
lightcurve fitting
‣ Ia: spectral template (Hsiao+07’)
redshift, stretch [0.7~1.2], MB [-17.5~-20.0], day at Max
‣ CC: 12 individual LC template
redshift, MB [-17.5~-20.0], day at Max
lightcurve fitting
‣ Ia: spectral template (Hsiao+07’)
redshift, stretch [0.7~1.2], MB [-17.5~-20.0], day at Max
‣ CC: 12 individual LC template
redshift, MB [-17.5~-20.0], day at Max
Ptype(z) / PDF (z)⇥ exp (��2LC(z)
2
)
Possible Contamination?
Rate Calculation
the rate derivation in redshift bin [z1, z2]
1. PIa(z) : completeness of the fitting 2. 1-PII(z) : misclassification as CC SN
PIa(z): completeness
1-PII(z): misclassification ratioNest(z) = NIa(z)PIa(z) +NII(z)(1� PII(z))
NII(z) = 0.55⇥ (1 + z)3.6CTII(z)V (z)
nearby SN II rate (Botticella+08’)cosmic star formation rate (Hopkins&Beacom 06’)
SN Ia rate
‣ SN Ia rate rising up to z~1.4
‣ most of high-z results were derived from one epoch obs., which SXDS result have LC confirmation.
10-5
10-4
0 0.5 1 1.5 2
Ia R
ate
[yr-1
Mpc
-3]
redshift
This WorkLi+’11
Dahlen+’08Neil+’06
Dilday+’11Graur+’11
Barbary+’12Perrett+’12
Hyper Suprime-Cam
FoV: 1.77deg2 (7 times larger than SC, 5 times smaller than LSST)0.17”/pix (typical seeing @MK ~0.7”)6 broad-band filters(ugrizy)+several narrow-band filter
ACS
Hyper Suprime-Cam
FoV: 1.77deg2 (7 times larger than SC, 5 times smaller than LSST)0.17”/pix (typical seeing @MK ~0.7”)6 broad-band filters(ugrizy)+several narrow-band filter
ACS
1.5deg
HSC
Hyper Suprime-Cam
FoV: 1.77deg2 (7 times larger than SC, 5 times smaller than LSST)0.17”/pix (typical seeing @MK ~0.7”)6 broad-band filters(ugrizy)+several narrow-band filter
ACS
1.5deg
HSC
LSST
Hyper Suprime-Cam
FoV: 1.77deg2 (7 times larger than SC, 5 times smaller than LSST)0.17”/pix (typical seeing @MK ~0.7”)6 broad-band filters(ugrizy)+several narrow-band filter
ACS
1.5deg
HSC
LSST
10-5
10-4
10-3
0 0.5 1 1.5 2
Ia R
ate
[yr-1
Mpc
-3]
redshift
HSCOkumura+12’
Li+’11Dahlen+’08
Neil+’06Dilday+’11Graur+’11
Barbary+’12Perrett+’12
DTD index -0.5DTD index -1.0DTD index -1.5DTD index -2.0
Summary
‣ The importance of statistical (rate) studies of SNe are growing
‣ Subaru is one of the promising candidate for these studies
‣ Ia rate from SXDS has been derived
‣ Ia rate is consistent with other works and showing expectation to reduce the error in the near future (HSC-Survey!)