selecting supernovae for cosmology cosmic co-motion, courant cove, september 2010 troels haugbølle...

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Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle [email protected] Niels Bohr International Academy – University of Copenh Collaborators: Bjarne Thomsen, Steen Hanne

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Page 1: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Selecting Supernovae for Cosmology

Cosmic Co-Motion, Courant Cove, September 2010

Troels Haugbø[email protected]

Niels Bohr International Academy – University of Copenhagen

Collaborators: Bjarne Thomsen, Steen Hannestad

Page 2: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Main Points

With upcoming survey telescopes we will discover so many local

supernovae that complete spectroscopic follow up of is unfeasible.

To sample the peculiar velocity field, a regularly spaced

distribution is advantageous, to avoid power leaking.

Obtaining spectra for only a carefully selected subset gives the

best constraints from the least observational investment.

Page 3: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Peculiar Velocity Fields

Velocity trace mass:

v = - H f(m)

where is the density contrast, and f(m) the growth factor

The peculiar velocity field is sourced by the gravitational

potential: It is directly dependent on the dark matter distribution

Page 4: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Connecting the matter and velocity powerspectrum

● Velocity trace mass: v = - H f(m)

● The angular velocity powerspectrum is related to the matter powerspectrum :

Page 5: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Peculiar Velocity Fields● Further away than ~80 Mpc h-1 cosmic variance is small

enough, that we can constrain cosmological models

● Gravity sources the velocity field from density fluctuations on larger scales

● This is why peculiar velocities may be the best measure of 8 at z=0

The velocity field 90 Mpc h-1 away

-1100 1100 km/s

The density field 90 Mpc h-1 away

Page 6: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Upcoming surveys● Lensing/asteroid surveys are better for local supernovae,

than the high-z SNe surveys. They scan the sky continuously, and observe in many bands (typically 6).

● LSST saturates at m < 16-17 or d < 75-120 Mpc h-1

Pan-Starrs

(4x)1.4Gp

2009+

Hawaii

Sky Mapper

256Mp

2010

Australia

LSST3.2Gp

2014

Chile

Pan-Starrs

Page 7: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Goals

● Predict how well we can probe the local velocity field, with upcoming supernovae surveys

● Design the optimal observational strategy to maximize science output

● Use the angular power spectrum of the peculiar velocity field as a tool for constraining cosmology

Page 8: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Goals

● Predict how well we can probe the local velocity field, with upcoming supernovae surveys

● Design the optimal observational strategy to maximize science output

● Use the angular power spectrum of the peculiar velocity field as a tool for constraining cosmology

Page 9: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Goals

● Predict how well we can probe the local velocity field, with upcoming supernovae surveys

● Design the optimal observational strategy to maximize science output

● Use the angular power spectrum of the peculiar velocity field as a tool for constraining cosmology

Page 10: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Forecast● The local supernova rate is approximately

1.2 x 10-4 SN yr-1 h3 Mpc-3

● This gives 60000 potential Type Ia SN per year with distances less than 500 h-1 Mpc (z < 0.17)

● There will be light curves from survey telescopes, but precise redshifts are needed

Page 11: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Forecast● The local supernova rate is approximately

1.2 x 10-4 SN yr-1 h3 Mpc-3

● This gives 60000 potential Type Ia SN per year with distances less than 500 h-1 Mpc (z < 0.17)

● There will be light curves from survey telescopes, but precise redshifts are needed

● A dedicated 1 m telescope would be able to take ~7000 spectra per year, or roughly 25% of the Type Ia SNe, assuming the survey telescopes covers half the sky

Page 12: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Goals

● Predict how well we can probe the local velocity field, with upcoming supernovae surveys

● Design the optimal observational strategy to maximize science output

● Use the angular power spectrum of the peculiar velocity field as a tool for constraining cosmology

Page 13: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Observational Strategy

●The precision we can measure the angular powerspectrum with depends crucially on the geometric distribution on the sphere

●Essentially power can “leak out” if there are big holes on the sky.

●We know where the SNe are before finding the redshift from the surveys

Page 14: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Reconstructing the velocity PS- a geometric detour -

3072 Random Points3072 Glass Points3072 “HealPix” Points12288 Random Points

Page 15: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

(figures thanks to Anja Weyant)

Signal

Power Leaking

Page 16: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

How to make a supernova survey

Make Nbody sim

Find density and velocity on a spherical shell

Populate with Supernovae

Calculate Angular PS

Size of voids/Max of matter PS

Size of clusters

Page 17: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

...but there is more to it

● With a limited amount of SNe, we can only measure a limited part of the powerspectrum

● Algorithm:● Given a set of Supernovae. Calculate powerspectrum

Page 18: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

...but there is more to it

● With a limited amount of SNe, we can only measure a limited part of the powerspectrum

● Algorithm:● Given a set of Supernovae. Calculate powerspectrum● Make N mock catalogues with same errors

Page 19: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

...but there is more to it

● With a limited amount of SNe, we can only measure a limited part of the powerspectrum

● Algorithm:● Given a set of Supernovae. Calculate powerspectrum● Make N mock catalogues with same errors● Compare the mock powerspectra to the underlying

powerspectrum● This gives theshot noise + window function

Page 20: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

...but there is more to it

● With a limited amount of SNe, we can only measure a limited part of the powerspectrum

● Algorithm:● Given a set of Supernovae. Calculate powerspectrum● Make N mock catalogues with same errors● Compare the mock powerspectra to the underlying

powerspectrum● This gives theshot noise +window function

● Subtract the error term from the observed powerspectrum

Page 21: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

● There are light curves, but we need precise redshifts● A 1 m telescope can take 1 spectra in ~20 minutes

~7000 spectra per year

● It is not realistic to measure 60000 redshifts per year

● We need to optimize our observation strategy and only select “the right” supernovae

Supernovae on a glass

Page 22: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Goals

● Predict how well we can probe the local velocity field, with upcoming supernovae surveys

● Design the optimal observational strategy to maximize science output

● Use the angular power spectrum of the peculiar velocity field as a tool for constraining cosmology

Page 23: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Connecting the matter and velocity powerspectrum

Small scale amplitude 8

Page 24: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Small scale amplitude or 8

● Amplitude on large scales is fixed by the CMB●8 can be affected by

●Massive neutrinoes less power

256

Mp

c h

-1

Standard CDM 3 x 2.3 eV neutrinoes

Page 25: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Small scale amplitude or 8

● Amplitude on large scales is fixed by the CMB●8 can be affected by

●Massive neutrinoes less power●Features / tilts in the primordial power spectrum

Page 26: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

Consequences for cosmology● The overall amplitude depends on

H f(m)8

This combination break

degeneracies,and8 can be constrained: Using 6 redshift bins (3 yrs of data, 23.000 glass Sne), and a simple 2 analysis (with fixed H), we find

a determination of 8 with 95% confidence

Page 27: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

● The overall amplitude depends on

H f(m)8

This combination break

degeneracies,and8 can be constrained: Using 6 redshift bins (3 yrs of data, 23.000 glass Sne), and a simple 2 analysis, we find

a determination of 8 with 95% confidence

Consequences for cosmologyGlass SupernovaeAll Supernovae

Page 28: Selecting Supernovae for Cosmology Cosmic Co-Motion, Courant Cove, September 2010 Troels Haugbølle haugboel@nbi.dk Niels Bohr International Academy – University

● Peculiar velocities or bulk flows can be measured using low redshift supernovae

● The peculiar velocity field is important to understand:● It tells out about the structure of the local Universe● It has to be corrected for in the Hubble diagram● We can directly probe the gravitational potential, do

Cosmology, and learn about the bias

● Upcoming survey telescopes will observe thousands of low redshift supernovae - but this potential can only be realized if time at support telescopes is allocated

● Optimizing the window function optimizes the science output

● We forecast that with 3 years of LSST data we can constrain 8 to roughly 5%

Summary