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Science with Virtual Observatories - A Pilot Case Roberto Mignani Mullard Space Science Laboratories University College London – PowerPoint PPT presentation

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Title: Science


1
  • Science
  • with
  • Virtual Observatories
  • - A Pilot Case
  • Roberto Mignani
  • Mullard Space Science Laboratories
  • University College London

2
Why this talk?
WHAT IS VO SCIENCE
DESCRIBE VO FACILITIES
AN EXAMPLE OF VO SCIENCE
MIN INPUT,MAX OUTPUT
VIRTUAL OBSERVATORIES
3
Archive Science
  • Not a surprise, data archiving mainly started
    from Space Observatories
  • Huge amount of data available in space/ground
    based observatories archives
  • Possibility of Data Mining
  • Practically changed the way of doing science
    very trendy!
  • Full spectral coverage from radio to gamma-rays ?
    multi- ? astronomy
  • Possibility of expanding research in the ?,t
    space ? multi- ? studies vs time
  • Studying in more detail the Known, discovering
    the Unknown
  • PROS
  • No effort in preparing observing proposals
  • No effort in preparing/executing observations
  • No clash with TACs
  • CONS
  • Data might have been taken with other goals
  • Observation strategy/instrument setup might
  • not be optimal

4
Archive Facilities
  • Not just access to data
  • Improved facilities for data archives query (nice
    web interfaces)
  • Improved facilities for data selection and
    association (selection by band, min/max time
    span, flux limit, object category )
  • Improved communications between remote archives
    and/or archives
  • reunification (e.g. ESOHST)
  • Virtual Observatories (VOs) era
  • NASA/HEASARC (early 90s) was a prototype (query
    and X-matches with different MW archives and OTF
    remote data analysis)

5
Astrophysical Virtual Observatory
6
International Virtual Observatories Alliance
7
Catalogue Science
  • Archival data still requires reduction and
    analysis, unless OTF data calibration and
    reduction is provided (e.g. for HST and soon
    for VLT)
  • Most recent data reduction pipelines include
    source detection algorithms ? production of
    objects catalogues
  • 5695 catalogues available in CDS
  • Multi-?
  • Multi-purpose (astrometric, photometric,
    morphological ..)
  • Multi-epoch
  • Multi-Sky Coverage
  • Best way to maximize scientific return vs
    invested effort
  • Mine of opportunities for people with limited
    (null) time for science or with limited resources
  • No time to reduce/calibrate/assemble the data
  • No time to analyze the data
  • Skip directly to final products

8
What do I have to do with all that ??
9
GSC-II (1998-2001)
10
The Project
  • Joint project btw NASA, ESA, ESO, GEMINI, INAF
  • 7 Photographic Surveys (8000 plates) carried out
    with Schmidt plates
  • Observations performed from Mt. Palomar (North)
    and AAT (South)
  • DSS-I GSC-I ? DSS-II GSC-II

The Making of GSC-II, available on CD from
www.to.astro.it
11
The GSC-II in a nutshell
  • 1 Billion objects the Largest Optical
    Catalogue ever
  • All-Sky, Multi-epoch (40 years) Multi-band (Bj,
    F, N, V)
  • Astrometric catalogue
  • Astrometry calibrated with HipparcosTycho2
  • lt0.35 absolute
  • Proper Motion catalogue
  • lt 20 mas/yr
  • Photometric Catalogue
  • Photometry calibrated with dedicated photometric
    catalogue
  • Bj 22.5, F 22, N 19.5 partial coverage in
    V (14-19.5)
  • lt 0.2 mag _at_ Bj22
  • Morphological Catalogue
  • Classification calibrated with Training Sets
  • 95 accuracy _at_ bgt20 and _at_ Bj 20.5

12
Science with the GSC-II
  • Originally conceived to support pointing
    operations of
  • HST, GEMINI, VLT and XMM, for BOP of new
    HST
  • instruments (STIS), for AO observations at
    the VLT
  • Use extended to science applications
  • Quality (shallow) vs Quantity (all-sky)
  • Extended database for
  • multi ? X-correlations, e.g., with the BMW-ROSAT
  • (Panzera et al. 2003) and the BMW-CHANDRA
  • (Romano et al. 2004) X-ray catalogues and the
    FIRST
  • radio catalogue (White et al. 2000)
  • object statistics,
  • population studies,
  • galactic dynamics,
  • search for fast moving objects,
  • variability studies (from the GSC-II DB),
  • search for star/galaxy cluster,

13
A comprehensive study of Planetary Nebulae
(PNe) and their Central Stars (CSs) F. Kerber
(ST-ECF), R. Mignani (MSSL-UCL), A. Wicenec
(ESO), F. Guglielmetti (STScI), H.M. Adorf
(MPA), T. Rauch (U. Tubingen), E.M. Pauli (U.
Bamberg), M. Roth (LCO)
14
Why a good example?
  • Science project carried on using ONLY public
    catalogues
  • Capitalize on ALL catalogue information
  • Domino Effect Catalogue Science ? Catalogue
    Science
  • Makes use of already available tools and services
  • Cheap Chic
  • All-sky catalogues ? First systematic all-sky
    studies ever
  • Cover a wide range of topics (ISM, stellar
    physics, dynamics,)
  • Produce good quality scientific results

15
Planetary Nebulae Evolution
  • Progenitors of Suns class
  • Ejection of the outer shell during the AGB phase
    ( 20 km/s wind)
  • WD nebula
  • Nebula ionized by the UV radiation from the
    central WD (Tgt30,000 K)
  • Nebula swept by a fast (gt1000 km/s) thin wind
    from the WD
  • For young PNe density of the nebula gtgt ISM
    density ? free expansion
  • For older PNe density of the nebula ISM density
    ? expansion slowdown
  • Expansion goes on until density of the Nebula lt
    ISM density
  • Compression ? deformation of the nebula
  • Brightening of the nebula rim at the shock with
    ISM
  • Formation of knots and filaments
  • Dispersion of the nebula in the ISM, WD cools
    down (t 10,000 years)

SIMILAR TO THE PSR/SNR CASE
16
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17
Planetary Nebulae Morphology
  • PNe shapes depends on
  • the density profile of the ISM
  • dynamics and geometry of gas outflow in the AGB
    phase
  • Spherical outflow
  • Collimated outflow (jets)
  • Disk outflow
  • Single/repeated outflow episodes
  • the stage of the PN evolution
  • the motion of the PN though the ISM
  • the motion of the CS wrt the nebula

18
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19
The PNe Catalogue
Madamina, il catalogo è questoDelle belle che
amò il padron mioun catalogo egli è che ho
fatt'ioOsservate, leggete con me.. Don
Giovanni, W.A. Mozart (1787)
  • Starting point for our work the Strasbourg-ESO
    Catalogue (SEC), plus its Supplement.
  • The SEC is the main compilation of PNe
    information available so far with 1500 objects
    (90 )
  • Limiting magnitude of PNe in the SEC GSC-II one
  • The SEC lists PNe detected in Radio, Optical, IR
  • The SEC is a compilation of results from
    different works (surveys, pointed observations,
    serendipitous identifications)
  • The SEC is non-homogeneous by definition

20
I. Coordinates AssessmentGSC-II Astrometric
Catalogue
  • Coordinates from SEC are highly uncertain
  • Finding chart based recognition
  • Problems in
  • X-correlations
  • (30 wrong mismatches)
  • Proposal preparation
  • Spectroscopy NO blind ACQ
  • NF imaging (e.g. WFPC2,STIS)
  • Never reassessed systematically !
  • Good test case for the GSC-II

21
II. PNe ClassificationGSC-II Morphological
Catalogue
  • Determination of PNe position driven by its
    morphology
  • CS
  • CS is resolved (15)
  • peak of the star PSF
  • STELLAR
  • PN is stellar-like (25)
  • PHOTO center of the PNe
  • NON STELLAR
  • CS not resolved (45)
  • PHOTO center of the PNe
  • (could be ambiguous)
  • EXTENDED
  • CS ambiguous (15)
  • GEOMETRIC center
  • (arbitrary for asymmetric or
  • irregular PNe)

CS
STELLAR
NON STELLAR
EXTENDED
22
The Method
  • Accuracy determined by the existence of an
    associated GSC-II counterpart
  • GSC-II recalibrated DSS2 position used as a
    reference otherwise
  • A SkyCat based Procedure set up to automatize
    DSS-II/GSC-II FC comparisons identifications
    implemented
  • Objects classified (CS, STELLAR, NON-STELLAR,
    EXTENDED) and coordinates precision graded (A?
    D). Additional Notes.
  • Only manual step in the project. Easy and not
    demanding.
  • Good for coffee-breaks or after-work
  • Easy student job but done independently by 4
    people
  • Results X-checked 4 times

23
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24
Results
  • Coordinates analyzed for 1528 PNe (Kerber et al.
    2003)
  • Coordinates reassessed for 1312 PNe
  • For 1086 PNe with GSC-II ctp (CS, STELLAR/NON
    STELLAR) 0.35
  • For 226 PNe without GSC-II ctp (EXTENDED) lt 1
  • 216 PNe discarded because
  • No identification reference, e.g., no finding
    chart available
  • Finding chart ambiguous, or wrong, or useless
  • No DSS-II preview image of the field available
  • No clear trend with objects brightness or shape
    or RA, DEC, as expected from a random
    distribution
  • Larger positional offset found for PNe along the
    galactic plan ? probability of misidentification
    higher
  • Revised PNe coordinates available via CDS with
    field preview and old/new coordinates
    overplotting
  • New Standard for PNe coordinates

25
PM of CS in Pne Sh 2-68
  • Found in the GSC-II database
  • Positions from 7 scans (6 different epochs over
    40 yrs) ? PM
  • PM confirmed with follow-up observations from
    Calar Alto and LCO
  • µ 53.2 /- 5.5 mas/yr SW (PA2026 deg) ?
    Largest PN PM measured from the ground (Kerber
    et al. 2002)
  • One of the more precise, comparable to the ones
    obtained with Hipparcos (e.g. 62.8 2 mas/yr for
    A35)

LCO
DSS-II
26
III. CSs/PNe Proper MotionsGSC-II Proper
Motion Catalogue
  • The first and only PM survey of PNe is the one of
    Cudworth (1974) who found PM for 51 PNe.
  • Most recent works using Hipparcos data (Acker et
    al. 1998) but only for very bright PNe
  • Object selection for PM study according to
    previous classification i.e. only CS, STELLAR and
    NON STELLAR
  • 1123 Objects
  • GSC-II PMs still preliminar and incomplete until
    the next release (v2.3)
  • Comparison with other PM catalogues
  • Hipparcos V 12.4 2.5 mas/yr
  • Tycho2 V15 5 mas/yr
  • UCAC2 R16 5 mas/yr
  • USNO-B F22 lt20 mas/yr

27
PM compilations
  • X-correlations of PNe with PM catalogues
  • Hipparcos 22
  • Tycho2 56
  • UCAC-2 270
  • USNO-B 174
  • Differences due to different limiting magnitudes
    and/or PM completeness/sensitivity
  • Creation of a master list of 389 PNe with entry
    in at least one catalogue
  • 11 PNe X-match ALL catalogues
  • 75 PNe X-match MULTIPLE catalogue
  • 303 PNe X-match ONE catalogue only
  • Consistency checks (e.g. on magnitude) and PM
    error reassessments
  • Selection of Good samples (PM gt 3 s) ? 164 PNe
  • PM grading according to the available X-matches

28
Results
  • ? 164 reliable PMs (Mignani et al. in prep.),
    i.e. the largest PM catalogue for PNe (3 x
    Cudworths)
  • ? Confirmation of existing measurements, most of
    which never reassessed so far
  • ? New PM measurements
  • ? Reference for distance estimates and for
    PARALLAX measurements
  • ? PM database for
  • CS/PNe candidate association studies
  • CS orbit computations
  • CS nebula/ISM interactions studies

29
IV. CSs/PNe Orbits
  • PM coupled with PN distance and radial velocity
    to measure its galactocentric orbit
  • Simulations using a galactic potential model
    (close encounters with other stars neglected)
  • Test cases for a pilot study
  • Different populations thin disk, thick disk
    (Kerber et al. 2004)
  • More to come using our extended PM catalogue ?
    First systematic study!

NGC7239
Sh 2-216
IC 4593
Sh 2-174
30
V. Interactions with ISM
  • SHASSA (Southern H-Alpha Sky Survey)
  • CTIO, 500 fields of 13x13 deg each, resolution
    47 arcsec/pixel, d lt 15 degrees
  • VINT (Virginia Tech Spectral line Survey)
  • UVT, 500 Fields of 10.2x10.2 deg each,
    resolution 1.6 arcmin/pixel, d gt -15 degrees
  • WHAM (Wisconsin H-Alpha Mapper)
  • Kitt Peak

31
Sh 2-68
  • Ha Observations from LCO
  • Ha map from the SHASSA
  • Elongated structure with PA21210 deg,
    consistent with the pm direction (2026 deg)
  • Direct evidence of interaction with the ISM
    (Kerber et al. 2003)
  • Extrapolating back the CS PM to the far end of
    the tail gives lower limit on the age
  • More to come using our extended PM catalogue
  • First systematic study!

5 arcmin

30 arcmin
CS (45 kyrs)
60 arcmin
CS (now)
32
VI. SED of identified CSsGSC-II Photometric
Catalogue
  • Optical-to-IR spectral coverage
  • GSC-II Bj 22.5, F 22, N 19.5, V 14-19.5
  • DENIS I 18.5, J 16.5, K 14
  • 2MASS J 15.8, H 15.1, Ks 13.5
  • Goals
  • Object Classification ? validation of
    proposed/uncertain CS identifications
  • (often, CS identifications are claimed on
    position only)
  • WD parameters (T, g, chemical composition) ? PN
    properties
  • Selection of CS with IR excess ? indicator of
    binary system

33
The Method-In Collaboration with GAVO-
  • Selection of a good CS sample
  • Little contamination from the surrounding nebula
    (well expanded)
  • No nearby back/foreground stars
  • X-matches with reference catalogues ? Master List
  • Mag 2 flux conversion ? Observed SED
  • Comparison with theoretical SEDs from library of
    Model Spectra
  • Correction for interstellar extinction
  • Ad-hoc developed tools have been created in
    collaboration with GAVO German Astronomical
    Virtual Observatory - presented at ADASS 2004
    (Adorf et al. 2004)
  • Nice user interface

34
Catalogue Selection
Catalogue selection
Search radius
Closest/multiple match
35
Production of Match-List
All in ONE table !
36
Observation Data Preview
Mag 2 Flux conversion
37
Model Data Preview
Unnormalized Fluxes
Model params
38
SED Classifier Central
39
Classification View
40
Quick-look Chart
41
VII. Search for unidentified CSs
  • CS are unidentified for 30 of the EXTENDED
    PNe
  • Goal MC-based identification of CSs in PNe
  • Additional identification evidence from PM and/or
    from trails in the ISM
  • Selection of PNe with candidate CSs from the
    revised Catalogue
  • Automatic procedure to produce CMDs and observed
    SEDs (previous step) for all objects in a given
    searching box
  • CSs identification through
  • CMDs
  • SED classification and comparison with SEDs of
    known CSs
  • Identification of the CS ? constraints on the PN
    parameters

42
Plus .
  • The only limit is your imagination
  • Just some back-of-the-envelope ideas
  • Studying CS metallicity vs orbit (population
    dependance)
  • Searching for connections between binarity and PN
    morphology
  • Estimate PNe ages from CSs proper motions
  • Correlate age with spectral parameters of the CS

43
Conclusions
  • High-quality science can be obtained with minimum
    effort, no time investment in proposal
    preparation and observations execution, data
    reduction
  • Mining of existing catalogues available via CDS !
  • Use of public image surveys !
  • No use of telescope time !
  • Fortran-based tool for objects X-correlations
    and shell scripts for lists administration !
  • No use of powerful computing facilities !
  • Most steps within reach of an amateur astronomer
    !
  • Orbit computation software included in
    collaborations !
  • SED simulations and classification code provided
    by AVO tools ? RECYCLABLE FOR OTHER SCIENTIFIC
    GOALS !
  • Minimal amount of manual work and of time
    investment
  • Scientific return ? the first comprehensive study
    to date of PNe properties
  • A variety of scientific projects (I to VII)
  • Easy to do ? Easy to expand personal scientific
    interests (I did)

44
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