Un universo tridimensional con Gaia Francesca Figueras On behalf of the UB- Gaia team Universidad de...
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Transcript of Un universo tridimensional con Gaia Francesca Figueras On behalf of the UB- Gaia team Universidad de...
Un universo tridimensional con Gaia
Francesca FiguerasOn behalf of the UB- Gaia team
Universidad de Barcelona (Spain)
Index
• Basic principles and data reduction strategy • What Gaia will observe: the Gaia Simulator (GUMS and GOG)• Scientific challenges: some examples• On ground spectroscopic surveys complementary to Gaia
Gaia astrometric accuracy
~10 as/yr
Earth – Moon
Gaia astrometric accuracy
Gaia astrometric accuracy
Basic Principles
Scanning law
Scanning Space Astrometry: to transform positional information into timing data
Blue
Ph
otom
eter C
CD
sB
lue P
hoto
mete
r CC
Ds
Red
Ph
otom
eter C
CD
sR
ed P
hoto
mete
r CC
Ds
Radial Velocity Spectrometer CCDs
Radial Velocity Spectrometer CCDs
42,3
5cm
Scanning Space Astrometry: to transform positional information into timing data
Obtained from differential along-scan measurements between the two FoV. The error depend on the Γ angle (0.5 μas accuracy)
Parallactic displacement along the great cicle Sun-StarSensitivity AL is proportional to sin ξ sin Γ
ξ = Sun-spin axis angle = 45º for GaiaΓ = basic angle = 106.5º for Gaia
Optimal values between astrometry requirements - that call for a large angle - and implementation constraints - such as payload shading and solar array efficiency
Absolute parallaxes
Each CCD:
-calibrated geometrically-Calibrated photometrically
Chromaticity correction:
Asymmetric aberrations, the diffraction image of Gaia is wavelength-dependent.
The polychromatic image centroid is shifted: - aberration (FoV position)- Source SED (BP, RP spectra)
Instrumental calibration
Reduction Strategy
AGIS Core Processing
100 million “well-behaved” stars
Intermediate Data Update
• Requirements at 20 μas level (10-10 rad)• Colours are needed for PSF, LSF (centroiding) • Radial velocities enter in astrometric model• relativistic model (orbit, ephemerides, time)
• Models for stars not fitting the model: • Binaries• Variable stars
• Data Volume • ~500 TB – 1PB for 5 years• 1020-21 flop • CPU time: 1sec/star – 30 years
Astrometric Global Iterative Solution
What Gaia will observe?
the Gaia Simulator: GUMS and GOG
The Gaia Simulator(s)
Gaia Universe Model Simulator
Published: Robin et al. 2012 A&AAvailable at CDS
The Gaia Simulator: MW stars
Besançon Galaxy ModelDrimmel et al. (2003) 3D extinction
Variable stars:
Stars per square-deg (log10)
(Y,X)
(Z,X)
(Z,Y)
The Gaia Simulator: galactic populations
The Gaia Simulator: extragalactic objects
Unsolved Galaxies ~3.8·106
Z < 0.8
Quasars~ 5·105
Z < 4
GOG: Gaia Object Generator
An attempt to simulate Gaia productsGUMS + a model for Gaia errors
Goals: To fill the Gaia Archive For Science Exploitation
Equatorial coordinates, units: mas (Palmer, Luri et al., 2013, in prep)
Scanning law (large number of transits)
The Galactic Center (large number of
faint stars)
Sky map of the mean parallax error
Gaia and the Magellanic Clouds
The distance to LMC and SMC
GUMS: Based on a real catalogue, 7.5·106 (LMC), 1.5 106 (SMC) with G<20
Gaia data: Large error in individual distances
Maximum Likelihood techniques are mandatory (Luri et al., 1996)Relative error in mean distance: 0.5% (LMC), 1.5% (SMC) No 3D map
SMC with OGLE (Haschke et al., 2012): Cepheids (2522 stars): 63.1 3.0 kpc , 4.7 % accuracy RR Lyrae (1494 stars): 61.5 3.4 kpc , 5.5 % accuracy
GAIA’s view R136 (LMC)
Transverse velocities ~1-2 km/s accuracy
G=12-15 mag (~10 as/yr)
de Bruijne and de Marchi, 2011
R136, the star cluster in the Tarantula (30 Doradus)
Gaia (GIBIS) HST
GIBIS: Gaia Basic Image Simulator Stellar density at G<20 ~1.4 106 stars /sqdeg
de Bruijne and de Marchi, 2011
Gaia and the distance scale
33
1912: Henrietta Leavitt discovered the key for the distance scale of the Universe
Period-Luminosity relation (25 cepheids in the SMC)
The Cepheids
Gaia will observe ~9000 Cepheids (extrapolated from Berdnikov et al. cat)Gaia: Metallicity dependence of the PL relation
Windmark et al., 2011
Hipparcos suspected binarity in Cepheids
~ 50 % binaries, the companion star affect the brightness and motionGaia will treat several of them as binaries (astrometric orbit)
Hipparcos vs. 'ground-based' parallax
Hipparcos: no allowance for binarity, thus the motion along the orbital arc could falsify the deduced parallax value.
It is remarkable that all negative parallax values plotted in the figure belong to known binaries (open clicles).
(Laszlo Szabados, 2010)
~500 000 Quasars
- The Reference Frame - How to detect them?- Lensed QSO in Gaia survey? - Astrometry for astrophysics- …
Inertiality of the Gaia Celestial Reference Frame
Accuracy of the residual rotation (units: as/yr), Mignard (2011)
Confusion matrix
QSO with low EWs emission lines removed , they are confused with cool
(4000–8000 K) highly reddened (AV = 8–10) stars
QSO Detection
SVM (Super Vector Machine) using BP/RP and astrometryBayler-Jones et al. (2008)
BP/RP spectra for QSO (red) and stars (blue)
Number of lensed Quasars in Gaia Survey?0.6% of quasars will consist of multiple lensed QSO images (~3000)
Finet et al. 2011
AGNs
A set of selected AGNs revealed photocenter jitters at mas levelperturbations in the accretion disk emissivity? (no, Popovic et al. 2012) energetic processes occurring therein (SN, GammaRays)?
Radio-quiet 1620+172 (Mrk 877), R=16, z=0.112, 2pc/mas (Antón et al., 2011)
The transient sky by Gaia
Ground contact: 8h /day Analysis and anomaly detection at Cambridge Alerts issued in 24-48 hours after observations
See: Wyrzykowski et al. 2013, IAU 298
The Red Clump Stars The Galactic Bar (s) and the Spirals
Galactic disk space distribution function
Red clump surface density
1/ is a biased estimates of the true distance!!
Does our Galaxy have one/two bars?work in the space of the observables!
distances parallaxes
Romero-Gómez, Aguilar et al.
Does our Galaxy have one/two bars?work in the space of the observables!
Extinction is critical: A new 3D new map using Gaia and IR
Red Clump: accuracy in tangential velocities
Gaia data Gaia + IR distances (10%) Mandatory to combine Gaia and IR data
Hyper-Runaway Stars
HIP 60350 (Runaway, B-star, 3.5 kpc)
At the moment, the quality of the observational data is insufficient to pinpoint the precise origin of the star within the spiral arm (cluster birthplace?)
Gaia parallax accuracy ~10 as (G~11), 3 % accuracy in the relative parallax
Was the star originated some ≈15 Myr ago, in the Crux-Scutum spiral arm?
Irrgang, A., et al. 2010
Solar System minor bodies
~100 TNO: orbit, binarity detection, …~2·105 asteroids: orbit, rotation, shape, …Can Gaia discover new Earth Trojans?
Can Gaia discover Earth Trojan?
Solar system fossils
Solar system star formation
Oct-2010: 1st 2010TK7
Difficult from Earth:
Rather close to the Sun
Very dispersed on sky
Region of highest probability forDetection (Todd et al. 2011 )
Gaia disadvantages:
Only up to G=20High along and across scan velocity(loss of signal, out of CCD window) Is 2010 TK7 the largest? If yes, prob. detection is low
Can Gaia discover Earth Trojan?
Gaia advantages:
Earth’s L2 Lagrangian pointCo-orbital nature with ETContinuous scanning modeRegions surveyed multiple times Down to a Solar elongation of 45ºNo limitation on local zone No limitation on airmass
ET simulationsTodd et al. 2012
On-ground Spectroscopic Surveys complementary to Gaia
Gaia-ESO survey (GES)
Public large spectroscopic survey with FLAMES@VLTStarted Feb/2012 + 5 years (300 nights)Ips: Randich, Gimore + ~300 Co-Ips All stellar populations: Halo, Bulge, Thick/Thin disk + open clusters
Products: 105 Giraffe spectra (R~16000-25000)104 UVES spectra (R~47000) + ESO archive
An optical Multi-Object-Spectrograph (2017)WEAVE@ WHTCanary Island
Radial velocities 2 km/s V=20Abundances V17
The Gaia Archive
Data Archive: Goals
I. A validated and well documented set of Gaia dataII. A functional, single point access to all Gaia science dataIII. A defined API to allow the development of high throughput access
applications and visualization tools. IV. A set of advanced applications for data manipulation and visualization V. Tools and content for outreach (social impact of the mission)
IP: X. Luri (Univ. Barcelona)~300 Co-IPs
Gaia and other (future) large surveys
LSST and Gaia: complementary for studying the Milky Way
Gaia will provide calibration checks to astrometric LSST data LSST will extend the Gaia survey four magnitudes deeper.
end
Networks and coordinated projects
Scientific Exploitation: GREAT-FP7: European Union ‘Initial Training Network (32 institutions )REG: Red Española de Explotación Científica de Gaia (140 members, 30 institutions)GREAT-ESF: European Science Foundation (2011-2015) (17 countries, 90 institutions)
On Ground Complementary Data: GES: Gaia ESO Survey (2012-2016)
Gaia Data Achive: CU-9: Gaia DPAC (~300 participants)GENIUS-FP7:
Proper Motions at 20 μas/y (V=15)
• 20 μas/y = 10 m/s a100 pc (planets around 0.5 milion stars; Júpiter motion is 15 m/s)
• 20 μas/y = 1 km/s at 10 kpc (slower star’s motions detected at 10 kpc)
• 20 μas/y = 5 km/s at 50 kpc (internal LMC kinematics as the local kin. today, 5 km/s = 2.5 mas/y at 400 pc)
• 20 μas/y = 100 km/s at 1 Mpc (curva de rotación en M31?)
•Parallax accuracy 20 μas (V=15) = 1% in distance at 0.5 kpc (6D structure of the Orion complex 2pc resolution)
(MV=+10)
(MV=-10)
(MV=0)
(MV=-3.5)
General aspects
Can Gaia discover Earth Trojan?
Probability of existence of Earth trojans on stable orbits (Earth at longitude
=0), Todd et al. 2011
Fossils: Solar system formation
Oct-2010: 1st discov. 2010TK7
Difficult from Earth:
Rather close to the Sun
Very dispersed on sky
Gaia i els exo-planetes
Terceres Jornades d'Astronomia al Montsec
Resultats esperats:
• ~2000 exo-planetes (sistemes simples) detectats astrometricament.
• ~300 sistemes amb diversos planetes.
• òrbites ben determinades per ~1000 sistemes.
• ~5000 trànsits planetaris observats• Planetes amb masses fins per sota de
10 MTerra a 10 pc. 0
0.2
0.4
0.6
0.8
1
1.2
cos (")
1/01/00
1/01/01
1/01/02
1/01/03
1/07/00
1/07/01
1/07/02(")
0 0.2 0.4 0.6 0.8 1.0
Planète : = 100 mas P = 18 mois
Gaia capabilities / products
• Positions, proper motions and parallaxes for 1 billion stars (G < 20)
• Low resolution spectrophotometry for 1 billion stars, allowing estimations of Teff, logg, Av and [Fe/H]
• Radial velocities for 150 million stars (G < 16)
• Atmospheric parameters, reddening and rotational velocities for 5 million stars (G < 12)
• Detailed chemical abundances for 2 million stars (G < 11)
Proper direction:
Orbital data prec.: 150m, 2.5 mms-1
Field angles: ,
Proper direction: u
Sistema instrumental:z: Eje de spinx: Bisectriz de las dos direcciones astrométricas
Field angles
Attitude
• The attitude relates the SRS to the CoMRS (esentially the ICRS)
• Is given by A(t):
X,Y,Z components of u in CoMRS
x,y,z components of u in SRS
Expresed in quaternions:
Each CCD row calibrated geometrically
- (in,x,y), (in,x,y)
Each CCD photometrically defined- bias, flatfield, etc.
in=0,1x,y: position on the focal plane
Instrumental calibration
PSF, LSF calib.
Comparison of observed and calculated field angles
Differences explained by a lineal model as a function of a set of parameters, depending on what you want to measure
Global Iterative Solution
Attitude: B-spline coefficients.
Time interval, all the observations
Calibration: all the observations on a given column and time interval
Global Iterative Solution
Source: six astrometric parameters
All the observations of a given source
Global:
All the observations
Global Iterative Solution
Source: six astrometric parameters
All the observations of a given source
Global:
All the observations
Global Iterative Solution
• 1012 Individual measurements (transits) • 1010 Unknowns (all related, simultaneous determination)
• 5·109 stars(pos, pm,par)• 1.5·108 attitude• 10 - 50 106 calibration• Some tens of “global”
• Requirements at 20 μas level (10-10 rad)• Colours are needed for PSF, LSF (centroiding) • Radial velocities enter in astrometric model• relativistic model (orbit, ephemerides, time)
• Data Volume ~500 TB – 1PB for 5 years, 1020-21 flop • CPU time: 1sec/star – 30 years
Data reduction
WEAVE: optical MOS• For WHT • FoV = 2o
• MOS + mIFU + LIFU• R= 5k, ~1000 fibres
V=20 (R=5k, SNR=10, 1h)• R= 20k from grating change V=16 (R=20k, SNR=50, 1h)• = 0.37-1.00 μm Status: • Concept Study, 01/2011, first Science Case completed 2/2012• 03/2011 ASTRONET partners recommend North(WHT)+South(ESO) MOS• 06/2011 UK, NL commit funding for WEAVE to PDR (expected 2013)• 09/2011 IAC support construction of WEAVE• 2016: Instrument First Light
WEAVE & Gaia
• Formation scenarios for Galactic stellar halo. In-situ or accreted?– Total mass of the Milky Way out to 200 kpc– The shape of the Galactic gravitational potential within 50–100 kpc– Lumpiness of the Galactic dark matter distribution within 20–50 kpc
• The dynamics of the Galactic disk & chemical labeling– Configuration space and global phase-space constraints– Local substructures in phase-space, resonances, and stochasticity– Chemo-dynamical constraints
• Galactic open clusters– Formation and disruption– Tracers of chemical evolution of the disk
Gaia and LSST performances
Field angles: ,
Ellipse: instantaneous scan great-circle Rectangles: the two Gaia FoV (BAM = 106.5º)Sun: always 45º from the positive z axis
Comparison of observed and calculated field angles
Differences explained by a lineal model as a function of a set of parameters, depending on what you want to measure
Global Iterative Solution
Astrometric Global Iterative Solution
The Gaia Simulator: stars with planets
The Gaia simulator: extragalactic objects
Stars per square-deg (log10)
GOG
• Provides: – Epoch (transit) and combined (end-of-misssion) data – True data, data as observed by Gaia and their errors
• Is based on: – A model of the Gaia instruments – Error models provided by the CUs (DPAC) (final Gaia
data will be more complex)• Has two main simulation modes :
– The GUMS universe model (integrated in GOG)– An external list of sources provided by the user
units: as/yr (Palmer, Luri et al., 2013, in prep)The colour scale represents log density of objects in a bin size of 80mmag by 2 as/yr
Proper motion accuracy (End-of-mission)
R136, the star cluster in the Tarantula (30 Doradus)
Gaia (GIBIS) HST
de Bruijne and de Marchi, 2011
QSO with emission-line EWs less than 5000Å removed (they are confused
with cool highly reddened stars)
QSO Detection
SVM (Super Vector Machine) using BP/RP and astrometry
Està al revés?
QSO, galaxies and stars: astrometryAstrometry hardly improves the results
Bailer-Jones et al. (2008)
Gaia QSO catalogue
QSOs : crucial targets to define the Gaia Celestial Reference Frame (GCRF)
Unprecedented precision in photo-center position: astrometric stability of QSOs and the possible physical consequences inner quasar structure and physical processes
AGNsRadio emitter AGNs: defining the quasi-inertial International Celestial Reference Frame (ICRF). will help in the alignment between optical (Gaia) and radio reference frame
A set of selected AGNs revealed photocenter jitters at mas levelperturbations in the accretion disk emissivity? (no, Popovic et al. 2012) energetic processes occurring therein (SN, GammaRays)?
Radio-quiet 1620+172 (Mrk 877), R=16, z=0.112, 2pc/mas (Antón et al., 2011)
The Supernovae
≃ 6000 SNe (Type Ia + CC) SNe over the 5-year mission (G<19)Most distant observed type Ia SNe will be at 500Mpc (z 0.12). ≃ ≃About 1/3 of the SNe is expected to be observed before maximumScience Alert programme stablished
The Gaia Scanning Law
End-of-mission number of transits per source
The Gaia Scanning Law
Microlensing events during the Gaia mission
The Gaia Simulator: microlenses
Prediction of astrometric microlensing events during the
Gaia mission 43 astrometric microlensing effect during the Gaia mission. The effect allows a precise measurement of the mass of a
single star that is acting as a lens
The 2 events that should be observable with Gaia are plotted as green squares