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Next Generation O/IR Telescopes. Stephen E. Strom Associate Director GSMT Development NOAO User’s Committee October, 2005. Outline. US Decadal Survey perspective AURA New Initiatives Office Science with a GSMT Top level summary of ELT Projects: OWL, GMT & TMT Overview of TMT - PowerPoint PPT Presentation
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Next Generation O/IR Telescopes
Stephen E. StromAssociate Director
GSMT Development
NOAO User’s CommitteeOctober, 2005
Outline
• US Decadal Survey perspective
• AURA New Initiatives Office
• Science with a GSMT
• Top level summary of ELT Projects: OWL, GMT & TMT
• Overview of TMT
• Site Selection
• Status of AURA/NSF support of TMT and GMT
AASC Vision for GSMT
“The Giant Segmented Mirror Telescope (GSMT), the committee’s top ground-based recommendation….is a 30-m-class ground-based telescope that will be a powerful complement to NGST [and ALMA] in tracing the evolution of galaxies and the formation of stars and planets.”
Giant Segmented Mirror Telescope
• 30m segmented primary mirror
• 10x gain in light gathering power
• Diffraction limited via Adaptive Optics (AO),
– 3x gain in angular resolution
• For (typical) background limited problems, time to
reach fixed S/N reduced by 100x (point source)
A New Paradigm
“GSMT requires a large investment of resources and offers an opportunity for partnership between national and university/independent observatories in producing and operating a world-class facility within the coordinated system of these two essential components of US ground-based astronomy.”
“Half the total cost should come from private and/or international partners.”
AURA Response to AASC Challenge
• In response, AURA formed a New Initiatives Office (NIO) to
support scientific & technical studies to evaluate technical risk
areas & cost of building a GSMT
• NIO has been a joint venture of NOAO + Gemini
AURA-NIO Goals
• Ensure community access to highly-capable next generation ELTs
by enabling completion of
– “Fast track” facilit(ies) contemporary with JWST/ALMA
– “Ultimate” ground-based OIR observatory before 2025
• Develop partnerships to build and operate ELTs
• Engage and involve the community at all phases
– Design
– Construction (instruments and key subsystems)
– Operation
• Look a decade ahead and begin dialog re next generation facilities
NIO Activities to Date
• Identify key science drivers for a 30m-class ELT
– Accomplish via a community-based GSMT SWG
• Carry out technical studies common to all ELTs
– AO; wind loading; segment fabrication; sites
• Develop a ‘point design’
– Understand systems issues
– Estimate system and subsystem costs
• Results summarized in “GSMT Book”
– http://www.aura-nio.noao.edu/book/index.html
• Provide engineering support as part of TMT collaboration
GSMT Science Working Group
- Identify forefront astrophysical science likely to emerge over next decade- Identify science potentially enabled by GSMT
- Understand and assess design options that can achieve science
- Identify technologies to be advanced or developed
- Provide advice the NSF about investments needed
- Advocate community interests in private/public partnerships
- Establish working relationships with groups in Australia, Canada, Europe, Japan, Mexico- Keep abreast of progress on TMT and GMT to ensure that emerging designs + instrument suites meet community aspirations
Science with a GSMT: The SWG View
The physics of young Jupiter's
GSMT SWG Members
Chair: Rolf-Peter Kudritzki, UH IfAVice-Chair: Steve Strom, NOAO
SWG Members:
– Jill Bechtold -- UA– Mike Bolte -- UCSC– Ray Carlberg -- U Toronto– Matthew Colless -- ANU– Irena Cruz-Gonzales -- UNAM– Alan Dressler -- OCIW– Betsy Gillespie -- UCI– Michael Liu -- UHIfA– Kim Venn -- U Victoria
–Terry Herter -- Cornell
–Paul Ho -- CfA
–Jonathan Lunine -- UA LPL
–Claire Max -- UCSC
–Chris McKee -- UCB
–Francois Rigaut -- Gemini
–Doug Simons -- Gemini
–Chuck Steidel -- CIT
Science Enabled by GSMT
• Tomography of the Intergalactic Medium at z > 3– High resolution spectra of IGM absorption spectra
• Determine 3-dimensional distribution of gas• Track evolution of metal abundance & relate to galactic activity
• Observing the galaxy assembly process– Integral field unit spectra of pre-galactic fragments
• Determine gas and stellar kinematics; measure mass directly• Quantify star formation activity and chemical composition
• Separating constituent stellar populations in galaxies– MCAO imaging and spectroscopy
• Determine age and distribution of chemical abundances
• Understanding where and when planets form– Ultra-high resolution mid-IR spectra of ~1000 accreting PMS stars
• Infer planetary architectures via observation of ‘gaps’ in disks
• Detecting and characterizing mature planets– Extreme AO coronography; spectroscopy
Probing the Distant Universe
IGM Tomography
• Goals:– Map out large scale structure for z > 3– Link emerging distribution of gas; galaxies to CMB – Determine metal abundances
• Measurements:– Spectra for 106 galaxies (R ~ 2000) [wide-field 8-m?]– Spectra of 105 QSOs and galaxies (R ~20000)
• Key requirements:– 15-20’ FOV; ~1000 fibers
• Time to complete study with GSMT: 3 years
The Potential of GSMT
Input
30m
8m
Analyzing Galaxies at High Redshift
• Determine the gas and stellar dynamics within individual galaxies
• Quantify variations in
star formation rate
• Tool: IFU spectra [R ~ 5,000 – 10,000]
GSMT 3 hour, 3 limit at R=5,000
0.1”x0.1” IFU pixel(sub-kpc scale structures)
J H K 26.5 25.5 24.0
Connecting the Distant & Local Universe
Stellar Populations
• Goals:– Quantify ages; [Fe/H]; for stars in nearby galaxies spanning all types
– Use ‘archaelogical record’ to understand the assembly process
– Quantify IMF in different environments
• Measurements:– CMDs for selected areas in local group galaxies
– Spectra of stars in selected regions (R ~ 1000)
• Key requirements:– MCAO delivering 30” FOV; MCAO-fed NIR spectrograph
• Time to complete study with GSMT: 3 years
Deconstructing Nearby Galaxies
Stellar Populations in Galaxies
M 32 (Gemini/Hokupaa) GSMT with MCAO
20”
JWST
Population: 10% 1 Gyr ([Fe/H]=0), 45% 5 Gyr ([Fe/H]=0), 45% 10 Gyr ([Fe/H]=-0.3)
Simulations from K. Olsen and F. Rigaut
Crowding Limits Photometric Accuracy
Crowding introduces photometric error through luminosity fluctuations within a single resolution element of the telescope due to the unresolved stellar sources in that element.
Crowding Limits for GSMT
JWST limit
GSMT limit
Limiting luminosity scales as ~ D-2
Modeling Population Mixes
– Maximum likelihood method of Dolphin (1997)
– 45 model isochrones with ages from 0.5 - 13 Gyr and [Fe/H]=0.0,-0.3,-0.6 compared with data
Recovering Population Mixes
3% 1 Gyr/[Fe/H]=0.0
35% 5 Gyr/[Fe/H]=0.0
62% 10 Gyr/[Fe/H]=-0.3
2% 1 Gyr/[Fe/H]=0.0
34% 5 Gyr/[Fe/H]=0.0
64% 10+/-1 Gyr/[Fe/H]=-0.3
5% 0.5--1 Gyr/[Fe/H]= -0.6 -- 0.0
15% 3--7 Gyr/[Fe/H]=0.0
80% 9--13 Gyr/[Fe/H]=-0.3 -- 0.0
Input Simulation 30 m GSMT JWST
Origins of Planetary Systems
• Goals:– Understand where and when planets form
– Infer planetary architectures via observation of ‘gaps’
• Measurements:– Spectra of 103 accreting PMS stars (R~105; )
• Key requirements:– On axis, high Strehl AO; low emissivity
– Exploit near-diffraction-limited mid-IR performance
• Time to complete study with GSMT:– 2 years
Probing Planet Formation with High Resolution Infrared Spectroscopy
S/N=100, R=100,000, > 4m
Gemini out to 0.2kpc 10s of objects
GSMT 1.5kpc 1000s of objects JWST N/A
Planet formation studies in the infrared (5-30µm):
Probe forming planets in inner disk regions Residual gas in cleared region low emission Rotation separates disk radii in velocity High spectral resolution high spatial resolution
Simulated 8 hr exposure
H2H2
Goal: Image and characterize exo-planets – Mass, radius, albedo– Atmospheric structure– Chemistry– Rotation
Measurements: R~ 10 photometry & R ~ 200 spectra– Near-infrared (reflected light)– Mid-infrared (thermal emission)
Role of GSMT: Enable measurements via– High sensitivity– High angular resolution
Detecting and Characterizing Exo-Planets
Key Parameters: 30m GSMT
5 D Separation @ 10pc
1.2 40 mas 0.4 AU
4.7 160 mas 1.6 AU
Aperture is critical to enable separation of planet from stellar image
Exo-Jupiter Examples