/
1 Cosmology with  Supernovae: 1 Cosmology with  Supernovae:

1 Cosmology with Supernovae: - PowerPoint Presentation

pasty-toler
pasty-toler . @pasty-toler
Follow
345 views
Uploaded On 2019-06-22

1 Cosmology with Supernovae: - PPT Presentation

Lecture 1 Josh Frieman I Jayme Tiomno School of Cosmology Rio de Janeiro Brazil July 2010 Hoje I Cosmology Review II Observables Age Distances III Type Ia Supernovae as Standardizable ID: 759867

time distance cosmic universe distance time universe cosmic luminosity light etal redshift energy cosmological constant expansion supernovae modulus model hubble high curves

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "1 Cosmology with Supernovae:" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

1

Cosmology with

Supernovae:Lecture 1

Josh FriemanI Jayme Tiomno School of Cosmology, Rio de Janeiro, BrazilJuly 2010

Slide2

Hoje

I. Cosmology ReviewII. Observables: Age, DistancesIII. Type Ia Supernovae as Standardizable CandlesIV. Discovery Evidence for Cosmic AccelerationV. Current Constraints on Dark Energy

2

Slide3

Coming Attractions

VI. Fitting SN Ia Light Curves & Cosmology in detail (MLCS, SALT, rise vs. fall times)VII. Systematic Errors in SN Ia DistancesVIII. Host-galaxy correlationsIX. SN Ia Theoretical ModelingX. SN IIp DistancesXI. Models for Cosmic AccelerationXII. Testing models with Future Surveys: Photometric classification, SN Photo-z’s, & cosmology

3

Slide4

References

Reviews: Frieman, Turner, Huterer, Ann. Rev. of Astron. Astrophys., 46, 385 (2008) Copeland, Sami, Tsujikawa, Int. Jour. Mod. Phys., D15, 1753 (2006) Caldwell & Kamionkowski, Ann. Rev. Nucl. Part. Phys. (2009) Silvestri & Trodden, Rep. Prog. Phys. 72:096901 (2009) Kirshner, astro-ph/0910.0257

4

Slide5

The only mode which preserves homogeneity and isotropy is overall expansion or contraction:

Cosmic scale factor

Slide6

6

On average, galaxies are

at rest in these expanding(comoving) coordinates, and they are not expanding--they are gravitationally bound.Wavelength of radiation scales with scale factor: Redshift of light: emitted at t1, observed at t2

Slide7

7

Distance between galaxies:

where fixed comoving distanceRecession speed: Hubble’s Law (1929)

Slide8

Modern

HubbleDiagram Hubble Space TelescopeKeyProject

Freedman

etal

Hubble parameter

Slide9

Recent Measurement of H0

9

HST Distances to 240 Cepheid variable stars in 6 SN

Ia host galaxies

Riess

, etal 2009

Slide10

How does the expansion of the Universe change over time?

Gravity: everything in the Universe attracts everything else expect the expansion of the Universe should slow down over time

Slide11

Cosmological Dynamics

Friedmann

Equations

Density Pressure

Spatial curvature:

k

=0,+1,-1

Slide12

Size of the

Universe

Cosmic Time

Empty

Today

In

these

cases,

decreases with time,

: ,

expansion decelerates

Slide13

Cosmological Dynamics

Friedmann

Equations

Slide14

Size of the

Universe

Cosmic Time

Empty

Accelerating

Today

p =

 (w = 1)

Slide15

15

``Supernova Data”

Slide16

16

Discovery of Cosmic Acceleration from

High-redshiftSupernovaeType Ia supernovae that exploded when the Universe was 2/3 its present size are ~25% fainter than expected

 = 0.7 = 0.m = 1.

Log(distance

)

redshift

Accelerating

Not accelerating

Slide17

Cosmic Acceleration

This implies that increases with time: if we could watch the same galaxy over cosmic time, we would see its recession speed increase.Exercise 1: A. Show that above statement is true. B. For a galaxy at d=100 Mpc, if H0=70 km/sec/Mpc =constant, what is the increase in its recession speed over a 10-year period? How feasible is it to measure that change?

Slide18

Cosmic Acceleration

What can make the cosmic expansion speed up?

The Universe is filled with weird stuff that gives

rise to `gravitational repulsion’. We call this

Dark Energy

Einstein’s theory of General Relativity is wrong on cosmic distance scales.

3. We must drop the assumption of homogeneity/isotropy.

Slide19

19

Cosmological Constant as Dark Energy

Einstein:

Zel’dovich and Lemaitre:

Slide20

Cosmological Constant  as Dark Energy

Quantum zero-point fluctuations: virtual particles continuously fluctuate into and out of the vacuum (via the Uncertainty principle). Vacuum energy density in Quantum Field Theory:Theory: Data:

Pauli

Cosmological Constant Problem

Slide21

Components of the Universe

Dark Matter:

clumps, holds galaxies and clusters togetherDark Energy: smoothly distributed, causes expansion of Universe to speed up

Slide22

=Log[a

0

/a(t)]

Equation of State parameter

w

determines Cosmic Evolution

Conservation of Energy-Momentum

Slide23

23

Depends on constituents of the Universe:

History of Cosmic Expansion

Slide24

24

Cosmological Observables

Friedmann

-

Robertson-Walker

Metric: whereComoving distance:

Slide25

Age of the Universe

25

Slide26

26

Exercise 2:

A. For w=1(cosmological constant ) and k=0:Derive an analytic expression for H0t0 in terms of Plot B. Do the same, but for C. Suppose H0=70 km/sec/Mpc and t0=13.7 Gyr. Determine in the 2 cases above.D. Repeat part C but with H0=72.

Slide27

Age of the Universe

(H

0/72)

(flat)

Slide28

Luminosity Distance

Source S at origin emits light at time t1 into solid angle d, received by observer O at coordinate distance r at time t0, with detector of area A:

S

A

r

Proper area of detector given by the metric:

Unit area detector at

O

subtends solid angle

at S.Power emitted into d isEnergy flux received by O per unit area is

Slide29

Include Expansion

Expansion reduces received flux due to 2 effects: 1. Photon energy redshifts: 2. Photons emitted at time intervals t1 arrive at time intervals t0:

Luminosity Distance

Convention: choose

a

0

=1

Slide30

30

Worked Example I

For w=1(cosmological constant ): Luminosity distance:

Slide31

31

Worked Example II

For a flat Universe (k=0) and constant Dark Energy equation of state w: Luminosity distance:

Note:

H

0

d

L

is independent of

H

0

Slide32

32

Dark Energy Equation of State

Curves of

constant

d

Lat fixed z

z =

Flat Universe

Slide33

Exercise 3

Make the same plot for Worked Example I: plot curves of constant luminosity distance (for several choices of redshift between 0.1 and 1.0) in the plane of , choosing the distance for the model with as the fiducial. In the same plane, plot the boundary of the region between present acceleration and deceleration.Extra credit: in the same plane, plot the boundary of the region that expands forever vs. recollapses.

33

Slide34

34

Bolometric Distance Modulus

Logarithmic measures of luminosity and flux:Define distance modulus:For a population of standard candles (fixed M), measurements of  vs. z, the Hubble diagram, constrain cosmological parameters.

flux measure

redshift

from spectra

Slide35

Exercise 4

Plot distance modulus vs redshift (z=0-1) for:Flat model withFlat model withOpen model withPlot first linear in z, then log z. Plot the residual of the first two models with respect to the third model

35

Slide36

36

Discovery of Cosmic Acceleration from

High-redshiftSupernovaeType Ia supernovae that exploded when the Universe was 2/3 its present size are ~25% fainter than expected

 = 0.7 = 0.m = 1.

Log(distance

)

redshift

Accelerating

Not accelerating

Slide37

37

Distance Modulus

Recall logarithmic measures of luminosity and flux:Define distance modulus:For a population of standard candles (fixed M) with known spectra (K) and known extinction (A), measurements of  vs. z, the Hubble diagram, constrain cosmological parameters.

denotes

passband

Slide38

38

K corrections due to redshift

SN spectrum

Rest-frame B band filterEquivalent restframe i band filter at different redshifts(iobs=7000-8500 A)

Slide39

39

Absolute vs. Relative Distances

Recall logarithmic measures of luminosity and flux:If Mi is known, from measurement of mi can infer absolute distance to an object at redshift z, and thereby determine H0 (for z<<1, dL=cz/H0) If Mi (and H0) unknown but constant, from measurement of mi can infer distance to object at redshift z1 relative to object at distance z2: independent of H0Use low-redshift SNe to vertically `anchor’ the Hubble diagram, i.e., to determine

Slide40

40

SN

1994D

Type

Ia

Supernovae as

Standardizable

Candles

Slide41

41

Slide42

42

SN Spectra

~1 week

after

maximumlightFilippenko 1997

Ia

II

Ic

Ib

Slide43

Type Ia Supernovae

Thermonuclear explosions of Carbon-Oxygen White DwarfsWhite Dwarf accretes mass from or merges with a companion star, growing to a critical mass~1.4Msun(Chandrasekhar)After ~1000 years of slow cooking, a violent explosion is triggered at or near the center, and the star is completely incinerated within secondsIn the core of the star, light elements are burned in fusion reactions to form Nickel. The radioactive decay of Nickel and Cobalt makes it shine for a couple of months

Slide44

44

Type Ia Supernovae

General properties:Homogeneous class* of events, only small (correlated) variationsRise time: ~ 15 – 20 daysDecay time: many monthsBright: MB ~ – 19.5 at peakNo hydrogen in the spectraEarly spectra: Si, Ca, Mg, ...(absorption)Late spectra: Fe, Ni,…(emission)Very high velocities (~10,000 km/s)SN Ia found in all types of galaxies, including ellipticalsProgenitor systems must have long lifetimes

*luminosity, color,

spectra at max. light

Slide45

SN Ia Spectral Homogeneity(to lowest order)

from SDSS Supernova Survey

Slide46

46

Spectral Homogeneity at fixed epoch

Slide47

47

SN2004ar z = 0.06 from SDSS galaxy spectrum

Galaxy-subtracted

Spectrum

SN Ia

template

Slide48

How similar to one another?Some real variations: absorption-line shapes at maximumConnections to luminosity?Matheson, etal, CfA sample

Slide49

49

Hsiao etal

Supernova

Ia

Spectral Evolution

Late times

Early times

Slide50

50

Layered

Chemical

Structure

provides

clues to

Explosion

physics

Slide51

51

SDSS

Filter Bandpasses

Slide52

52

Model

SN

Ia

Light Curves in SDSS filters synthesized from composite template spectral sequenceSNe evolve in time from blue to red;K-corrections are time-dependent

Slide53

53

SN1998bu Type Ia

Multi-band Light curve

Extremely

few light-curves are this well sampled

Suntzeff, etal

Jha, etal

Hernandez, etal

Slide54

Luminosity

Time

m

15

15 days

Empirical Correlation: Brighter

SNe

Ia

decline more

slowly

and are bluer

Phillips 1993

Slide55

SN

Ia Peak LuminosityEmpirically correlatedwith Light-Curve Decline RateBrighter  SlowerUse to reduce Peak Luminosity DispersionPhillips 1993

Peak Luminosity

Rate of decline

Garnavich, etal

Slide56

56

Type

Ia SNPeak Brightnessas calibratedStandard CandlePeak brightnesscorrelates with decline rateVariety of algorithms for modeling these correlations: corrected dist. modulusAfter correction,~ 0.16 mag(~8% distance error)

Luminosity

Time

Slide57

57

Published Light Curves for Nearby Supernovae

Low-

z

SNe:

Anchor Hubble diagram

Train Light-curve fitters

Need well-sampled, well-calibrated, multi-band light curves

Slide58

58

Carnegie

Supernova

Project

Nearby

Optical+

NIR LCs

Slide59

59

Correction for Brightness-Decline relation reduces scatter in nearby SN

Ia

Hubble Diagram

Distance modulus for z<<1:Corrected distance modulus is not a direct observable: estimated from a model for light-curve shape

Riess

etal

1996

Slide60

60

Acceleration Discovery Data:High-z SN Team

10 of 16 shown; transformed to SN rest-frameRiess etalSchmidt etal

V

B+1

Slide61

61

Discovery of Cosmic Acceleration from

High-redshiftSupernovaeApply same brightness-decline relation at high zType Ia supernovae that exploded when the Universe was 2/3 its present size are ~25% fainter than expected

 = 0.7 = 0.m = 1.

Log(distance

)

redshift

Accelerating

Not accelerating

HZT

SCP

Slide62

Likelihood Analysis

This assumes errors in distance modulus estimates are Gaussian. More details on this next time.

62

Data Model

Slide63

63

Slide64

Exercise 5

Carry out a likelihood analysis of using the High-Z Supernova Data of Riess, etal 1998: see following tables. Assume a fixed Hubble parameter for this exercise.Extra credit: marginalize over H0 with a flat prior.

64

Slide65

Riess, etal High-z Data (1998)

65

Slide66

Low-z Data

66