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What can emission lines tell us? lecture 2 Grazyna Stasinska

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data base of 670 objects in spirals, SDSS DR3 and BCDs galaxies with Te measured ... data from subsample of SDSS DR3. normal star forming galaxies ... – PowerPoint PPT presentation

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Title: What can emission lines tell us? lecture 2 Grazyna Stasinska


1
What can emission lines tell us? lecture
2Grazyna Stasinska
2
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal galaxies from AGN hosts?

3
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal galaxies from AGN hosts?

4

The most popular Te diagnostic
The most popular ne diagnostic

OIII4363/5007
SII6731/6716
5
Some plasma diagnostics in X-rays
  • Porquet Dubau (2000)
  • He-like ions emit three main lines (n 2 shell),
    which are close in wavelengths
  • resonance lines (called w),
  • intercombination lines (x y),
  • forbidden lines (z).
  • the combination of the ratio of these lines can
    be used to derive
  • the ionizing process (pure photoionized plasma or
    hybrid plasma)
  • the electron density R(ne) z / x y
  • the temperature G(Te) (x y) z /w

6
Plasma diagnostic diagrams

Plasma diagnostic diagram for the planetary
nebula NGC 7027
7
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal galaxies from AGN hosts?

8
  • The method for abundances from opticanl or IV
    lines
  • Te and ne are obtained from plasma diagnostics
  • Ionic abundance ratios are determined from line
    intensity ratios
  • eg O/H (OIII5007/Hb) /
    (eOIII5007(Te)/eHb(Te))
  • Elemental abundance ratios are obtained
  • either by adding all the observed ions

9
a note on ionization correction factors
  • Ionization correction factors based on ionization
    potentials
  • a first approximation promoted by
    Torres-Peimbert Peimbert 1977
  • but risky eg (O ..)/O ? He/He (although
    O and He have the same ionization potential
    54.4 eV)
  • there is nothing which empedes O ions to be
    present in the He zone
  • Ionization correction factors based on model
    grids may be risky too
  • observations often pertain only to a small
    fraction of the object while grids usually
    consider entire nebulae
  • there is no robust formula to correct for He
  • Cases when no icf is needed
  • when all the expected ionization stages are
    observed
  • however in this case beware of errors in
    determining ionic abundances
  • from different spectral ranges
  • from lines extremely sensitive to Te (lines with
    high excitation potential as UV lines or
    transauroral lines)

10
a rough evaluation of Te-based methods
  • the methods are easy to implement
  • they depend on a very limited amount of
    assumptions
  • error bars are relatively easy to estimate
  • the abundances of the most important elements
    are expected to be correct (within error bars)
  • they are very close to abundances obtained from
    successful tailored photoionization modelling
  • from optical spectra abundances can be derived
    for He, N, O, Ne, S, Cl, Ar, Fe
  • C is however a difficult subject

11
a case of failure of Te-based abundances metal
rich HII r. Stasinska 2005
  • with very large telescopes OIII4363/5007,
    NII5755/6584, SIII6312/9532 can be measured
    even at high metallicities (eg Bresolin et al
    2005)
  • the problem
  • at Z gt Z? strong Te gradients are predicted
  • Te sensitive ratios strongly overestimate Te in
    the emitting zones
  • O/H is strongly biased !
  • the bias depends on
  • what line is measured to derive Te
  • what relation is adopted between T(O) and
    T(O)

T(O)TNII5755/6584 T(O)T(O)-3000/0.7
T(O) TNII5755/6584 T(O) TOIII4363/5007
12
a further problem to derive Te at high
metallicity
  • contamination of collisionally excited lines
    (CELs) by recombination
  • at low Te, CELs with high excitation energy such
    as OII7330 or NII5755 may be dominated by
    recombination
  • this effect, very strong in the case of
    TOII3727/7330 is usually not well corrected for
    in the literature (one should use the Te
    representative of the zone emitting the
    recombination line to correct for it)
  • a similar effect is likely to occur for
    TSII4070/6720

13
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal galaxies from AGN hosts?

14
  • In many cases, the weak OIII 4363 or NII5755
    lines are not available because
  • the temperature is too low
  • the spectra are of low signal-to-noise
  • the data consist of narrow band images in the
    strongest lines only
  • Strong line methods to derive abundances
  • are statistical
  • have to be calibrated
  • Best known strong line methods the ones based on
    oxygen lines
  • Pagel et al 1979 used (OIIOIII)/H??as an
    indicator of O/H
  • this method, la??????????????????????????, has
    been calibrated many times
  • Mc Gaugh 1994 refined the method to account for
    the ionization parameter U
  • Pilyugin (2000, 2001 ..., 2005) proposed the most
    sophisticated approach

15
Rationale of Mc Gaughs method
  • there are 4 independent strong line ratios
  • H??H?, OII/H?, OIII/H?, NII /H?
  • there are 5 parameters determining them
  • C(H?? , ltTgt, U, O/H, N/O
  • underlying hypothesis of the method
  • ltTgt is related to O/H
  • (this is expected statistically for giant HII
    regions)
  • the procedure
  • both O/H and U are derived simultaneously from
  • (OIIOIII)/Hb, and OIII/OII
  • a problem
  • (OIIOIII)/H??vs. O/H is double valued
  • a way out

16
McGaugh diagrams for the O23 method
???????????? versus ??????????????/???
17
what lies behind the OIII5007/Hb vs O/H relation
  • Intensity ratio OIII5007/Hb A
    n(O) / n(H) Te0.5 exp (-28800/Te)
  • Thermal balance equation n(H) ne T B
    ni j ne Te-0.5 exp (- Eexc/Te)
  • if 12 log O/H ltlt 8.2
  • cooling is due to H Ly a,
  • Te is independent of O/H
  • OIII5007/Hb C T O/H
  • if 12 log O/H gt 9
  • cooling is due to OIII52,88m
  • OIII5007/Hb C T f(Te)
  • where f(Te) Te exp (- 28800/Te)
  • which decreases
  • with increasing O/H

18
An evaluation of strong line methods
  • Perez-Montero Diaz 2005
  • uses a data base of 367 objects with measured Te
  • including some giant HII regions in the inner
    parts of galaxies (expected to be metal rich)
  • but ignores the strong bias due to low Te
    evidenced by Stasinska 05

19
the strong line method recalibrated
  • Pilyugin Thuan 2005
  • upper branch calibration
  • (ie high O/H)
  • lower branch calibration
  • (ie low O/H)
  • uses a data base of over 700 objects with
    measured Te
  • including some giant HII regions in the inner
    parts of galaxies (expected to be metal rich)
  • uses only Te-derived abundances
  • but ignores the strong bias due to low Te
    evidenced by Stasinska 05

the last word on abundances from strong line
methods is not said
20
more on strong line methods for Giant HII
RegionsStasinska 2006
  • Requirements for an ideal metallicity indicator
  • should be single valued
  • should have a behaviour dominated by a well
    understood physical reason
  • should be unaffected by the presence of diffuse
    ionized gas
  • should be independent of chemical evolution
  • Looking for an ideal metallicity indicator
  • data base of 670 objects in spirals, SDSS DR3
    and BCDs galaxies with Te measured
  • using P calibration of Pilyugin 2001 when Te is
    not measured

21
results two new well behaved metallicity
indicators
  • ArIII/OIII

    SIII/OIII
  • s0.23
    s0.25


but the lines are only moderately strong ...
nb all strong line methods will need
recalibration when we undertand better the
physics of metal-rich HII regions, (Stasinska
2005)
22
comparison of O/H from various metallicity
indicators

  • ArIII/OIII vs NII/Ha
  • larger dispersion
  • (effect of N/O and ionization variations)
  • slight bias
  • ArIII/OIII SIII/OIII
  • very tight correlation (as expected)
  • dispersion mostly from measurement errors

23
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal galaxies from AGN hosts?

24
Estimation of T by counting photons
  • Zanstra 1931
  • TZH is obtained assuming that all stellar Lyc
    photons are absorbed by the nebula,
  • from the observed stellar visual magnitude and
    the total nebular H? flux
  • for very hot stars (PN nuclei), one can also
    define TZHe using the He II 4686 flux as a
    measure of the number of photons with energies
    above 54.4 eV

25
notes on Zanstra-type methods and on the
ionization of He
  • results from model computations with PHOTO
  • a . He I 5876 / H? measures T only in a small
    range (T lt 40 kK)
  • due to competition between H and He to absorb
    photons with energies gt 54.4 eV
  • c . HeII 4868 / H? saturates at T gt 150 kK
  • c . HeII 4868 / H??depends on U at T gt 100 kK
  • dependence on He/H
  • c . HeII 4868 / H? does not depend on He/H
  • e . HeII 4868 / He I 5876 depends on He/H
  • not considered in empirical methods
  • f . the H and He zones may have different Te

b
a
___ U10-2 He/H0.1 ___ U10-3 He/H0.1 ___
U10-2 He/H0.15
d
c
e
f
26
T from observed ionization structure
  • Kunze et al 1996
  • The ionization structure depends on T
  • -gt line ratios of two successive ions measure T
  • but the ionization structure also depends on U
    !!!

T
(SIV/SIII) / (NeIII/NeII) vs NeIII/NeII
Morisset 2004 determination of T using a full
grid of atmospheres with WM-basic and taking
into account T, U and metallicity
27
T from energy-balance methods
  • Stoy 1931 Stasinska 1980
  • L( ? CEL) / L(H?) f(T)
    Te is a function of O/H and T
  • calibration by Preite-Martinez Pottasch 83

28
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal galaxies from AGN hosts?

29
star formation rate
  • techiques
  • UV continuum, FIR continuum, recombination
    lines, forbidden lines...
  • each technique requires a calibration usually
    done with evolutionary stellar synthesis models
  • basic parameters
  • metallicity (Z)
  • star formation history (SFH)
  • description of the IMF
  • stellar evolutionary tracks
  • stellar model atmospheres
  • see reviews by Kennicutt 1998 and Schaerer 1999

30
star formation rate using L(H?)
  • Kennicutt 1998
  • SFR M? yr -1 7.910-42 L(H?)erg s-1 A(H?) /
    f
  • where A(H?) is the extinction
  • f is the fraction of Lyc photons absorbed by H

Scharer 1999 the SFR from L H? strongly depends
on assumed parameters for the stellar population
temporal evolution of models with cst SFR
IMF Mup Z/Z
? _____ Salpeter 100 1 .......... Salpeter
100 .05 _ _ _ _ Salpeter 100 2 _ . _
. Salpeter 30 1 ------ Scalo 100
1
31
star formation rate using OII
  • advantage of OII
  • is seen in a broad redshift range, rather used at
    large redshifts ( 1)
  • caution about OII
  • calibrations by different authors differ strongly
    (see Kennicutt 1998)
  • OII/H? is expected to vary with metallicity and
    U
  • OII can be produced by ionization by an active
    galactic nucleus AGN and not by stars
  • exemple of observed dispersion in OII/H?
  • data from subsample of SDSS DR3
  • normal star forming galaxies
  • AGN host galaxies
  • hybrid

32
Diagnostics based on emission lines
  • plasma diagnostics electron temperature, density
  • ionic and elemental abundances - direct methods
  • elemental abundances - statistical methods
  • estimation of the effective temperature of the
    ionizing star- or of the effective hardness of
    the ionizing radiation field
  • determining the star formation rate
  • how to distinguish normal star forming galaxies
    from AGN hosts?

33
Segregation of emission line objects in
emission-line ratio diagrams
  • The BPT diagram
  • Baldwin, Phillips, Terlevich 1981
  • ??e????? ??????????????????? i??????????????????
    of the diagram
  • Interpretation
  • photons from PNe and AGNs are harder than those
    from massive stars that power GHRs
  • ? they provide more heating
  • ? collisionally excited lines will be brighter
    than in the case of ionization by massive stars
    only

OIII/Hb
PNe
AGNs
GHRs
NII/Ha
34
The next step
  • Veilleux Osterbrock 1987
  • more diagrams, more points
  • GHRs form a sequence in the OIII/Hb vs
    NII/Ha?and OIII/Hb vs SII/Ha
  • comparison with sequences of photoionization
    models

OIII/Hb vs NII/Ha
OIII/Hb vs SII/Ha OIII/Hb
vs OI/Ha
35
the Sloan Digital Sky Survey revolution
  • Kauffmann et al 2003
  • spectra of 100 000 galaxies
  • subtraction of stellar continua obtained by
    population synthesis
  • galaxies hosting AGNs also form a sequence!

galaxies in the BPT diagram now remind the wings
of a seagull
36
modelling of the upper envelope of the left
wingStasinska Cid Fernandes Mateus Sodre Vale
Asari 2006

  • motivation
  • previous dividing lines were too generous for
    NSF galaxies
  • the model
  • (uses Starburst99 PHOTO)
  • constant star formation
  • abundance ratios taken from Izotov et al 2006
  • result
  • U decreases az Z increases
  • OI and SII lines less well fitted (because
    of 1-zone model)

of the 4 diagrams, the OIII/H? vs NII/H? is
the best to distinguish NFSg and AGN hosts
37
can one distinguish AGN hosts and NSF galaxies
with their NII/Ha?only ?



38
distinguishing AGN hosts and NSF galaxies using
only NII/Ha

NSF
hybrid
  • feasible
  • allows one to consider more galaxies of the
    initial sample (intensities of OIII and Hb not
    needed)
  • allows one to see relations with another
    parameter (here D4000)

AGN
all
39
end of lecture 2
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