Supernovae and Dark Energy Pierre Astier LPNHE / IN2P3 / CNRS , - - PowerPoint PPT Presentation

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Supernovae and Dark Energy Pierre Astier LPNHE / IN2P3 / CNRS , - - PowerPoint PPT Presentation

Supernovae and Dark Energy Pierre Astier LPNHE / IN2P3 / CNRS , Universits Paris 6&7. Frontiers of Fundamental Physics - July 2014. P. Astier (FFP14 15/07/14) The expansion of the universe Lematre (1927), Hubble (1929) The


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  • P. Astier (FFP14 15/07/14)

Supernovae and Dark Energy

Pierre Astier

LPNHE / IN2P3 / CNRS , Universités Paris 6&7.

Frontiers of Fundamental Physics - July 2014.

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  • P. Astier (FFP14 15/07/14)

Lemaître (1927), Hubble (1929) Velocity (from redshift) Distance (from flux)

V = H d

From redshift From apparent flux This “Hubble diagram” uses “nebulae” as tracers

The expansion of the universe

“The farther, the fainter”

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  • P. Astier (FFP14 15/07/14)

The expansion of the universe

D D V V V V

Us

Isotropy:

If distant galaxies are moving away from us, their escape velocity can only depend on distance

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  • P. Astier (FFP14 15/07/14)

The expansion of the universe

D D V V V V

Us

D 2D V V 2V 2V

Us Them

Let us change the point of view

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  • P. Astier (FFP14 15/07/14)

The expansion of the universe

Cosmological principle : No special direction nor special position

Velocity and distance are proportional

(at least not too far from us)

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  • P. Astier (FFP14 15/07/14)

So,

Velocity Distance

  • V = H d tells us that the universe expands.
  • It is consequence of symmetries: no dynamics get encoded there
  • Dynamics (i.e. influence of content) show up at higher orders:

e.g: different hypotheses for matter density

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  • P. Astier (FFP14 15/07/14)
  • General relativity relates trajectories of test particles to the content of

the universe

  • Einstein Equations + cosmological principle

→ Friedman equation(s) Expansion rate Energy densities Cosmological constant Curvature

The real theory

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Evolution of distances with redshift is sensitive to content

Evolution of distances as a function of z

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  • P. Astier (FFP14 15/07/14)

1996: A Supernova Hubble diagram

Calan-Tololo Survey (Hamuy et al, 1996)

Velocity Log(distance)

Distances to ~ 7% Excellent distances ! but redshift range too short to go beyond The Hubble law

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  • P. Astier (FFP14 15/07/14)

Type Ia supernovae

  • Very luminous
  • Can be identified (spectroscopy)
  • Transient (rise ~ 20 days)
  • Scarce (~1 /galaxy/millennium)
  • Fluctuations of the peak

luminosity : 40 %

  • With luminosity indicators :

~14 %

Thermonuclear explosions of stars which appear to be reproducible

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  • P. Astier (FFP14 15/07/14)

Measuring supernovae

peak flux multi-band photometry => distance

spectroscopy:

  • identification
  • redshift

z

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  • P. Astier (FFP14 15/07/14)

So, at the end of the 90's...

  • Distances to Type Ia supernovae were the best

hope of measuring the distance-redshift relation

  • The idea was to constrain the matter density:
  • In a matter-dominated universe q0 = ΩM /2

Matter density, today (in some unit)

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  • P. Astier (FFP14 15/07/14)

1998: the twin papers

Riess et al, 1998 [High-z team] Perlmutter et al, 1999 [SCP]

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  • P. Astier (FFP14 15/07/14)

DE density varies slowly (or not at all) with time

Perlmutter et al (99)

Static density(i..e Λ) Free curvature Zero curvature DE density variation : ρx ~ (1+z)3(1+wx) (P x = wxρx

)

Because distant supernovae are fainter than in a matter-dominated universe ==> Postulate a two-component universe : matter & dark energy

Acceleration !?

a c c e l e r a t e d e c e l l e r a t e

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  • P. Astier (FFP14 15/07/14)

Fall 2011

The Nobel Prize in Physics 2011 was divided,

  • ne half awarded to Saul Perlmutter, the other half

jointly to Brian P. Schmidt and Adam G. Riess "for the discovery of the accelerating expansion

  • f the Universe through observations of distant supernovae".
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  • P. Astier (FFP14 15/07/14)

Scale factor R Density m a t t e r dark energy now ??

  • 1/3
  • 2/3
  • 1

w : equation of state

Matter

Λ

w tells how the density evolves with expansion

  • Matter : w = 0 (follows expansion)
  • Cosmological constant w = -1 (ignores expansion)

Cosmological constant , or what ?

Constraints from SNe (Perlmutter et al 1999)

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  • P. Astier (FFP14 15/07/14)

From the discovery of acceleration to the characterisation of dark energy

Betoule et al (2014)

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  • P. Astier (FFP14 15/07/14)

Getting more efficient

Rolling searches on large CCD mosaics Observing steps:

  • Discovery in image subtraction
  • Spectroscopic ID
  • Measure light curves
  • Get an image without the SN

From the same images ! Implemented on 3 major surveys … with “classical spectroscopy”

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  • P. Astier (FFP14 15/07/14)

Major rolling searches

The SDSS SN Survey The SNLS survey @ CFHT 300 deg2 x 3 years 0.1<z<0.45 ~2000 SNe ~500 spectra 4 deg2 x 5 years 0.3<z<1 ~1000 SNe ~500 spectra

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  • P. Astier (FFP14 15/07/14)

The current SN sample (for cosmology)

Low-z supernovae (z<0.1) : dominated by 2 samples:

  • CfA (Hicken et al 2009, 2012)
  • CSP (Contreras et al 2010, Strizinger et al 2011)

Rolling surveys at 0.1<z<1

  • ~ 2000 Sne
  • ~ 1000 with spectroscopic ID

High z events with the HST:

  • About 40 events in total today
  • About 50 % at z>1.

~200 SNLS events still unpublished...

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  • P. Astier (FFP14 15/07/14)

The current SN sample (for cosmology) The current SN sample (for cosmology) The current SN sample (for cosmology)

>700 SNe

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  • P. Astier (FFP14 15/07/14)

Cosmological information

Overall brightness

Related to SN intrinsic luminosity and distance scale: → No cosmological information

Slope (and beyond)

Ratio of distances across redshifts: → This is what constrains dark energy

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  • P. Astier (FFP14 15/07/14)

We are interested in the ratio of SN luminosities at different redshifts … for similar restframe wavelengths

measurements

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  • P. Astier (FFP14 15/07/14)

measurements

Each SN is measured relative to surrounding stars

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  • P. Astier (FFP14 15/07/14)

measurements

Field stars are measured Relative to “calibrators” ...derived from stellar models

Vega: historical foundation of photometric System (too bright and … variable...)

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accuracies

~10-3 ~ 4 10-3 Blue vs red known to ~ 4 10-3

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  • P. Astier (FFP14 15/07/14)

Distant vs nearby SN brightnesses are typically measured to ~ 6 10-3

accuracies

(Betoule et al, 2013)

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  • P. Astier (FFP14 15/07/14)

Current cosmological results (1)

  • A joint effort between the two main SN surveys

– Direct cross-calibration (of field stars) – Redundant paths to standard stars

(Betoule et al 2103)

  • A careful assessment of lightcurve

empirical modelling: impact is well below calibration (Mosher et al 2014)

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  • P. Astier (FFP14 15/07/14)

Current cosmological results (2)

  • 118 nearby SNe
  • 366 SDSS
  • 242 SNLS
  • 14 HST

740 events in total Betoule et al (2014)

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Flat ΛCDM

Ωm measurement independent of CMB and compatible with Planck

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Flat wCDM

Planck + BAO: w = −1.01 ± 0.08 Planck + SN: w = −1.018 ± 0.057 Best EoS constraint. Improvements w.r.t previous results :

  • improved calibration.
  • additional SDSS data
  • direct cross-calibration

Λ

Betoule et al (2014)

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  • P. Astier (FFP14 15/07/14)

What's next ?

  • ~130 SNe at z<0.7 from PanSTARss (2014)
  • Nearby searches still running
  • ~ 200 more SNe from SNLS (out in 2015)
  • ~500 SNe/y from DES (z<1, 2013-2017)
  • From 2020 onwards:

– LSST (could cover the whole range to z=1) – Euclid and WFIRST could target the z>1 régime

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  • P. Astier (FFP14 15/07/14)

From 1999 to 2011

Perlmutter et al (1999) Guy et al (2010), Conley et al (2011), Sullivan et al (2011)

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  • P. Astier (FFP14 15/07/14)

Outlook

  • The second round of SNe surveys have

significantly improved the cosmological constraints.

  • ΛCDM is doing fine as far as dark energy is

concerned : w= -1 +/- 0.057

  • We will shortly go below +/- 0.05. SNe could

reach 0.02 by the next decade.

  • Sizeable efforts are devoted to improving the

probe.

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More Slides

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  • P. Astier (FFP14 15/07/14)

Joint SDSS-SNLS calibration

  • Short and redundant paths
  • Direct SDSS-SNLS calibration
  • Direct observation of HST standards

(Betoule et al, 2013) Uncertainties validated through redundancy