# Presentation: 340687

## Report of the

**Report of the**
**Dark Energy**
**Task Force**

- Report to AAAC
- 12 May 2006
- Rocky Kolb

## Dark Energy

- The acceleration of the Universe is, along with dark matter, the observed phenomenon which most directly demonstrates that our fundamental theories of particles and gravity are either incorrect or incomplete.
- Most experts believe that nothing short of a revolution in our understanding of fundamental physics will be required to achieve a full understanding of the cosmic acceleration.
- For these reasons, the nature of dark energy ranks among the very most compelling of all outstanding problems in physical science.
- These circumstances demand an ambitious observational program to determine the dark energy properties as well as possible.

_***Dark Energy***_

## Dark Energy Task Force (DETF)

-  Three agencies: 		DOE; NASA; NSF
-  Two subcommittees: 		AAAC (Illingworth); HEPAP (Shochet)
-  Two charge letters:		Kinney (NASA); Staffin (DOE); Turner (NSF)
-  Thirteen members:		Overlap with AAAC, HEPAP, SDT

- _[http://](http://www.nsf.gov/mps/ast/detf.jsp)__[www.nsf.gov/mps/ast/detf.jsp](http://www.nsf.gov/mps/ast/detf.jsp)_** **

## Members
Andy Albrecht, Davis
Gary Bernstein, Penn
Bob Cahn, LBNL
Wendy Freedman, OCIW
Jackie Hewitt, MIT
Wayne Hu, Chicago
John Huth, Harvard
Mark Kamionkowski, Caltech
Rocky Kolb, Fermilab/Chicago
Lloyd Knox, Davis
John Mather, GSFC
Suzanne Staggs, Princeton
Nick Suntzeff, NOAO

- Andy Albrecht, Davis
- Gary Bernstein, Penn
- Bob Cahn, LBNL
- Wendy Freedman, OCIW
- Jackie Hewitt, MIT
- Wayne Hu, Chicago
- John Huth, Harvard
- Mark Kamionkowski, Caltech
- Rocky Kolb, Fermilab/Chicago
- Lloyd Knox, Davis
- John Mather, GSFC
- Suzanne Staggs, Princeton
- Nick Suntzeff, NOAO

- Agency Representatives
- DOE: Kathy Turner
- NASA: Michael Salamon
-                    Ron Hellings
- NSF: Dana Lehr

_***DETF Membership***_

## Dark Energy Task Force Charge*

- Summarize existing program of funded projects
- Summarize proposed and emergent approaches
- Identify important steps, precursors, R&D, ...
- Identify areas of dark energy parameter space existing or
-      proposed projects fail to address
- 5.  Prioritize approaches (not projects)

- “The DETF is asked to advise the agencies on the optimum† near and intermediate-term programs to investigate dark energy and, in cooperation with agency efforts, to advance the justification, specification and optimization of LST# and JDEM‡.”

- * Fair range of interpretations of charge.

- † Optimum  minimum (agencies); Optimum  maximal (community)

- # LST  Large Survey Telescope

- ‡ JDEM  Joint Dark Energy Mission

## Dark Energy Task Force (DETF)

- _[http://](http://www.nsf.gov/mps/ast/detf.jsp)__[www.nsf.gov/mps/ast/detf.jsp](http://www.nsf.gov/mps/ast/detf.jsp)_** **

-  Draft Report submitted to AAAC and HEPAP 7 May 2006 (5 months late!)
-  Preliminary Report reviewed by six readers suggested by AAAC & HEPAP who made very helpful comments.  The DETF responded to each comment and improved the report in the process
-  Preliminary Reports
- AAAC (Feb 13 2006)
- HEPAP (Mar 4)
- P5 (April 21)
-  Weekly phonecons plus five face-to-face meetings
-  50 Whitepapers from community

## Dark Energy Task Force Report

- Context
- 	The issue: acceleration of the Universe
- 	Possibilities: dark energy ( or not), non-GR
- 	Motivation for future investigations

- Goals and Methodology
- 	Goal of dark energy investigations
- 	Methodology to analyze techniques/implementations

- Findings
- 	Techniques & implementations (largely from White Papers)
- 	Systematic uncertainties
- 	What we learned from analysis

- Recommendations

- A Dark Energy Primer
- DETF Fiducial Model and Figure of Merit
- Staging Stage IV from the Ground and/or Space
- DETF Technique Performance Projections
- Dark Energy Projects (Present and Future)
- Technical Appendix

## Context

- Conclusive evidence for acceleration of the Universe.
- Standard cosmological framework  dark energy (70% of mass-energy).
- Possibility: Dark Energy constant in space & time (Einstein’s ).
- Possibility: Dark Energy varies with time (or redshift *z* or *a **** *(*z*)).
- Impact of dark energy can be expressed in terms of “equation of state”
*w*(*a*)* ** p*(*a*)* / ***(*a*) with *w*(*a*)  for 
- Possibility: GR or standard cosmological model incorrect.
- Not presently possible to determine the nature of dark energy.

## Context

- Dark energy appears to be the dominant component of the physical Universe, yet there is no persuasive theoretical explanation. The acceleration of the Universe is, along with dark matter, the observed phenomenon which most directly demonstrates that our fundamental theories of particles and gravity are either incorrect or incomplete.  Most experts believe that nothing short of a revolution in our understanding of fundamental physics will be required to achieve a full understanding of the cosmic acceleration.  For these reasons, the nature of dark energy ranks among the very most compelling of all outstanding problems in physical science. These circumstances demand an ambitious observational program to determine the dark energy properties as well as possible.

## Goals and Methodology

- The goal of dark-energy science is to determine the very nature of the dark
- 	energy that causes the Universe to accelerate and seems to comprise
- 	most of the mass-energy of the Universe.
- Toward this goal, our observational program must:
- Determine whether the accelerated expansion is due to a
- 	cosmological constant.
- If it is not due to a constant, probe the underlying dynamics by
- 	measuring as well as possible the time evolution of dark energy, for
- 	example by measuring *w*(*a*); our parameterization *w*(*a*)  *w* *w**a*( *a*).
- Search for a possible failure of GR through comparison of cosmic
- 	expansion with growth of structure.
- Goals of dark-energy observational program through measurement of
- 	expansion history of Universe [*d**L*(*z*) , *d**A*(*z*) , *V*(*z*)], and through measurement
- 	of growth rate of structure.  All described by *w*(*a*). If failure of GR, possible
- 	difference in *w*(*a*) inferred from different types of data.

## (From the Foreword)

- Because the field is so new, it has suffered from a lack of standardization which has made it very difficult to directly compare different approaches.
- To address this problem we have done our own modeling of the different techniques so that they could be compared in a consistent manner.
- These quantitative calculations form the basis of our extensive factual findings, on which our recommendations are based

## Goals and Methodology

- To quantify progress in measuring properties of dark energy we define
- 	dark energy figure-of-merit from combination of uncertainties in *w* and *w**a*.
**	****The** _**DETF figure-of-merit**_** is the reciprocal of the area of the **
**	****error ellipse enclosing the 95% confidence limit in the *****w*********–*****w******a***** plane.  Larger figure-of-merit indicates greater accuracy.**
- Figure of merit serves as a quantitative guide to constrain a large, but not exhaustive, set of dark-energy models. The nature of dark energy is poorly understood; no single figure of merit is appropriate for every eventuality.  Potential shortcomings of the choice of any figure of merit must be evaluated in the larger context, which includes the critical need to make side-by-side comparisons. In our judgment there is no better choice of a figure of merit available at this time.
- We made extensive use of statistical (Fisher-matrix) techniques
- 	incorporating CMB and *H* information to predict future performance      (75 models).

## Goals and Methodology

- Our considerations follow developments in Stages:
- What is known now (12/31/05).
- Anticipated state upon completion of ongoing projects.
- Near-term, medium-cost, currently proposed projects.
- Large-Survey Telescope (LST) and/or Square Kilometer Array (SKA),
- 	and/or Joint Dark Energy (Space) Mission (JDEM).
- Dark-energy science has far-reaching implications for other fields of
- 	physics  discoveries in other fields may point the way to understanding
- 	nature of dark energy (*e.g.,* evidence for modification of GR).

## Nineteen Findings

- Four observational techniques dominate White Papers:
- Baryon Acoustic Oscillations (**BAO**) large-scale surveys measure features in distribution of galaxies.  BAO: *d**A*(*z*) and *H*(*z*).
- Cluster (**CL**) surveys measure spatial distribution of galaxy clusters. CL: *d**A*(*z*), *H*(*z*), growth of structure.
- Supernovae (**SN**) surveys measure flux and redshift of Type Ia SNe.  SN: *d**L*(*z*).
- Weak Lensing (**WL**) surveys measure distortion of background images due to gravitational lensing.  WL: *d**A*(*z*), growth of structure.
- Different techniques have different strengths and weaknesses and sensitive in different ways to dark energy and other cosmo. parameters.
- Each of the four techniques can be pursued by multiple observational approaches (radio, visible, NIR, x-ray observations), and a single experiment can study dark energy with multiple techniques.  Not all missions necessarily cover all techniques; in principle different combinations of projects can accomplish the same overall goals.

## Nineteen Findings

**BAO** only recently established.  Less affected by astrophysical uncertainties than other techniques.
**CL** least developed.  Eventual accuracy very difficult to predict. Application to the study of dark energy would have to be built upon a strong case that systematics due to non-linear astrophysical processes are under control.
**SN** *presently* most powerful and best proven technique.  If photo-*z*’s are used, the power of the supernova technique depends critically on accuracy achieved for photo-*z*’s. If spectroscopically measured redshifts are used, the power as reflected in the figure-of-merit is much better known, with the outcome depending on the ultimate systematic uncertainties.
**WL** also emerging technique.  Eventual accuracy will be limited by systematic errors that are difficult to predict.  *If* the systematic errors are at or below the level proposed by the proponents, it is likely to be the most powerful individual technique and also the most powerful component in a multi-technique program.

_***Nineteen Findings***_

## Systematics: none, optimistic, pessimistic

**Systematics: none, optimistic, pessimistic**

## Nineteen Findings

- No single technique is sufficiently powerful and well established that it is guaranteed to address the order-of-magnitude increase in our figure-of-merit alone.  Combinations of the principal techniques have substantially more statistical power, much more ability to discriminate among dark energy models, and more robustness to systematic errors than any single technique. Also, the case for multiple techniques is supported by the critical need for confirmation of results from any single method.

_***Nineteen Findings***_

## Slide 18

## Nineteen Findings

- These data, though insensitive to *w*(*a*) on their own, contribute to our knowledge of *w*(*a*) when combined with any of the dark energy techniques we have considered.
- Increased precision in a particular cosmological parameter may improve dark energy constraints from a single technique, valuable for comparing independent methods.

- Results on structure growth, obtainable from weak lensing or cluster observations, are essential program components in order to check for a possible failure of general relativity.

- Improvements in cosmological parameters tend not to improve knowledge of dark energy from a multi-technique program

- Setting spatial curvature to zero greatly helps SN, but modest impact on other techniques.  Little difference when in combination.

_***Nineteen Findings***_

## Nineteen Findings

**(*H* ):  km s  Mpc   km s Mpc

*k*  prior

_***Nineteen Findings***_

## Nineteen Findings

**Traditional redshift**
**from spectroscopy**

**Photometric redshift**
**from multicolor **
**photometry**

_***Nineteen Findings***_

## Nineteen Findings

**BAO–** Theoretical investigations of how far into the non-linear regime the data can be modeled with sufficient reliability and further understanding of galaxy bias on the galaxy power spectrum.
**CL–** Combined lensing and Sunyaev-Zeldovich and/or X-ray observations of large numbers of galaxy clusters to constrain the relationship between galaxy cluster mass and observables.
**SN–** Detailed spectroscopic and photometric observations of about 500 nearby supernovae to study the variety of peak explosion magnitudes and any associated observational signatures of effects of evolution, metallicity, or reddening, as well as improvements in the system of photometric calibrations.
**WL–** Spectroscopic observations and multi-band imaging of tens to hundreds of thousands of galaxies out to high redshifts and faint magnitudes in order to calibrate the photometric redshift technique and understand its limitations.  It is also necessary to establish how well corrections can be made for the intrinsic shapes and alignments of galaxies, removal of the effects of optics (and from the ground) the atmosphere and to characterize the anisotropies in the point-spread function.

_***Nineteen Findings***_

## Nineteen Findings

- a BAO survey on an 8-m class telescope using spectroscopy
- a BAO survey on an 4-m class telescope using photo-*z**’*s
- a CL survey on an 4-m class telescope using photo-*z*’s for clusters detected in ground-based SZ surveys
- a SN survey on a 4-m class telescope using spectroscopy from a 8-m class telescope
- a SN survey on a 4-m class telescope using photo-*z**’*s
- A WL survey on a 4-m class telescope using photo-*z**’*s
- These projects are typically projected by proponents to cost in the range of 10s of $M.

_***Nineteen Findings***_

## Nineteen Findings

- Only an incremental increase in knowledge of dark-energy parameters is likely to result from a Stage-III BAO project using photo-*z*’s.  The primary benefit would be in exploring photo-*z* uncertainties.
- A modest increase in knowledge of dark-energy parameters is likely to result from Stage-III SN project using photo-*z*’s.  Such a survey would be valuable if it were to establish the viability of photometric determination of supernova redshifts, types, and evolutionary effects.
- A modest increase in knowledge of dark-energy parameters is likely to result from any single Stage-III CL, WL, spectroscopic BAO, or spectroscopic SN survey.
- The SN, CL, or WL techniques could, individually, produce factor-of-two improvements in the DETF figure-of-merit, if the systematic errors are close to what the proponents claim.
- If executed in combination, Stage-III projects would increase the DETF figure-of-merit by a factor in the range of approximately three to five, with the large degree of uncertainty due to uncertain forecasts of systematic errors.

_***Nineteen Findings***_

## DETF Projections

## Combination of all techniques from a Stage-III photometric survey

- Stage II

- Stage III-p

- Stage III-o

## Nineteen Findings

- an optical Large Survey Telescope (LST), using one or more of the four techniques
- an optical/NIR JDEM satellite, using one or more of four techniques
- an x-ray JDEM satellite, which would study dark energy by the cluster technique
- a Square Kilometer Array, which could probe dark energy by weak lensing and/or the BAO technique through a hemisphere-scale survey of 21-cm emission
- 	Each of these projects is in the $0.3-1B range, but dark energy is not the only (in some cases not even the primary) science that would be done by these projects. According to the White Papers received by the Task Force, the technical capabilities needed to execute LST and JDEM are largely in hand. The Task Force is not constituted to undertake a study of the technical issues.
- Each of the Stage IV projects considered (LST, JDEM, and SKA) offers compelling potential for advancing our knowledge of dark energy as part of a multi-technique program.

_***Nineteen Findings***_

## Nineteen Findings

- SKA would likely have very low systematic errors, but needs technical advances to reduce its cost.   The performance of SKA would depend on the number of galaxies it could detect, which is uncertain.
- Optical/NIR JDEM can mitigate systematics because it will likely obtain a wider spectrum of diagnostic data for SN, CL, and WL than possible from ground, incurring the usual risks of a space mission.
- LST would have higher systematic-error risk, but can in many respects match the statistical power of JDEM if systematic errors, especially those due to photo-*z* measurements, are small. An LST Stage IV program can be effective only if photo-*z* uncertainties on very large samples of galaxies can be made smaller than what has been achieved to date.

_***Nineteen Findings***_

## Nineteen Findings

_***Nineteen Findings***_

## DETF Projections

## Combination of all techniques from Stage-IV ground-based survey

- Stage II

- Stage IV-p

- Stage IV-o

## DETF Projections

## Combination of all techniques from Stage-IV space-based survey

- Stage II

- Stage IV-p

- Stage IV-o

## DETF Projections

## Nineteen Findings

_***Nineteen Findings***_

## Recommendations

_***Recommendations***_

**(This course of action is so obvious it is not actually stated in the report)**

## Six Recommendations

**We recommend that the dark energy program have multiple techniques at every stage, at least one of which is a probe sensitive to the growth of cosmological structure in the form of galaxies and clusters of galaxies.**
**We recommend that the dark energy program include a combination of techniques from one or more Stage III projects designed to achieve, in combination, at least a **_**factor of three**_** gain over Stage II in the DETF figure-of-merit, based on critical appraisals of likely statistical and systematic uncertainties.**

_***Six Recommendations***_

## Six Recommendations

**We recommend that high priority for near-term funding should be given as well to projects that will improve our understanding of the dominant systematic effects in dark energy measurements and, wherever possible, reduce them, even if they do not immediately increase the DETF figure-of-merit.**

_***Six Recommendations***_

## Six Recommendations

_***Six Recommendations***_

## DETF Legacy

**Parameterize dark energy as  *****w**********– ******w******a***
**Eight-parameter cosmological model**
**Priors**
**Figure of merit**
**Importance of combinations**
**Soon will have a website with library of Fisher matrices & combiner programs (All power to the people!)**
**DETF Technique Performance Projections**
**Thirty-two (count ‘em, 32!) data models**
**Optimistic & pessimistic projections**
**Four techniques, two stages, five platforms**
**Use DETF Technique Performance Projections as a guideline!!!**
**We may be off-base ****(proposers must justify systematic-error budget!)**
**People get smarter**

_***DETF Legacy***_

## From the transmittal letter

_***From the transmittal letter***_

**  ****An immediate investment in projects that will improve our understanding of the dominant systematic effects in dark energy measurements and lead to their reduction.**
**   ****An immediate start of a near-term program (which we call Stage III) designed to advance our knowledge of dark energy and prepare for the ultimate “Stage IV” program, which consists of a combination of large survey telescopes and/or a space mission.**
**  ****Expanded support for design and development funds of proposed Stage IV projects.  This will allow the relative benefits, risks, and costs of these projects to be much better known soon.**
**  ****Rapid decisions on the appropriate Stage IV projects that will, as we outline in the report, lead to an order of magnitude increase in our knowledge of dark energy parameters.**

## Members
Andy Albrecht, Davis
Gary Bernstein, Penn
Bob Cahn, LBNL
Wendy Freedman, OCIW
Jackie Hewitt, MIT
Wayne Hu, Chicago
John Huth, Harvard
Mark Kamionkowski, Caltech
Rocky Kolb, Fermilab/Chicago
Lloyd Knox, Davis
John Mather, GSFC
Suzanne Staggs, Princeton
Nick Suntzeff, NOAO

- Andy Albrecht, Davis
- Gary Bernstein, Penn
- Bob Cahn, LBNL
- Wendy Freedman, OCIW
- Jackie Hewitt, MIT
- Wayne Hu, Chicago
- John Huth, Harvard
- Mark Kamionkowski, Caltech
- Rocky Kolb, Fermilab/Chicago
- Lloyd Knox, Davis
- John Mather, GSFC
- Suzanne Staggs, Princeton
- Nick Suntzeff, NOAO

- Agency Representatives
- DOE: Kathy Turner
- NASA: Michael Salamon
-                    Ron Hellings
- NSF: Dana Lehr

_***DETF Membership***_