Updates in Modeling the Updates in Modeling the CIV Broad Line - - PowerPoint PPT Presentation

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Updates in Modeling the Updates in Modeling the CIV Broad Line - - PowerPoint PPT Presentation

Updates in Modeling the Updates in Modeling the CIV Broad Line Region CIV Broad Line Region Anna Pancoast Einstein Fellow (Harvard-Smithsonian Center for Astrophysics) August 17-18, 2017 AGN STORM Meeting Review of 2016 results


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SLIDE 1

Updates in Modeling the Updates in Modeling the CIV Broad Line Region CIV Broad Line Region

Anna Pancoast

Einstein Fellow (Harvard-Smithsonian Center for Astrophysics) August 17-18, 2017 – AGN STORM Meeting

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SLIDE 2
  • Figure of the spectral

decomposition and wavelength ranges

Wavelength (Angstroms)

Wavelength range modeled

Review of 2016 results

  • Simple BLR model is able to fit the Hβ data
  • Both line profile shape and integrated line flux
  • Using UV continuum
  • Not strongly dependent on choice of Goad or Pei-anomaly

start date

  • To do: get final version of data to use full red wing!

Anna Pancoast, CfA

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SLIDE 3

Model Fits to the Hβ Data

Anna Pancoast, CfA

Goad - Anomaly Pei - Anomaly Green/blue = data Red = model fits Example fits to the Hβ spectra Integrated Hβ flux Continuum light curve and models

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The CIV Data

Anna Pancoast, CfA

Cyan = data with the continuum and narrow emission lines subtracted Black = model for CIV without narrow or broad absorption Pink = model for CIV without narrow absorption Wavelength (Angstroms) Example of spectrum around CIV

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SLIDE 5

The CIV Data

Anna Pancoast, CfA

Cyan = data with the continuum and narrow emission lines subtracted Black = model for CIV without narrow or broad absorption Pink = model for CIV without narrow absorption Wavelength (Angstroms) Example of spectrum around CIV All the CIV spectra Bad pixels

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SLIDE 6

The CIV Data

Anna Pancoast, CfA

Cyan = data with the continuum and narrow emission lines subtracted Black = model for CIV without narrow or broad absorption Pink = model for CIV without narrow absorption Wavelength (Angstroms) Example of spectrum around CIV All the CIV spectra Bad pixels + masked absorption

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SLIDE 7

Model Fits to the Masked CIV Data

Anna Pancoast, CfA

Goad - Anomaly Continuum light curve and models Integrated CIV non-masked flux Green/blue = data Red = model fits Example fits to the CIV spectra

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Overview of 2017 results

  • What has happened since last year:
  • Ideas for the BLR geometry from MEMEcho
  • Finalized UV models to unmask CIV
  • Goals:
  • Try to match the CIV variability in more detail
  • Compare results from masked and modeled CIV
  • Tests completed:
  • Default CARAMEL model
  • Default + variable outer radius + hot spot
  • Constant spectral component = mean spectrum
  • Constant spectral component = Gaussian mixture

model (GMM)

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SLIDE 9

Default BLR model

Pancoast, Brewer, & Treu 2014

Anna Pancoast, CfA

Radial profile of emission: Gamma distribution Opening angle (sphere → disk)

  • Geometry
  • Dynamics

Near-circular Inflowing Outflowing

BH

Transparent → opaque mid-plane Disk → cone More emission from near or far side

Model spectrum is made entirely from variable flux!

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Results from the default BLR model

Anna Pancoast, CfA

Modeling the full CIV line (broad + narrow absorption) Modeling the CIV narrow absorption lines T=80 T=160

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Results from the default BLR model

Anna Pancoast, CfA

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Summary of default results

  • When absorption is masked, black hole mass is

lower and inclination/opening angles are higher and poorly constrained

  • Following results focus on un-masked CIV!
  • Convergence fairly good, but more likelihood

levels could be explored

Anna Pancoast, CfA

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Adding a variable maximum radius + hot spot

Anna Pancoast, CfA

Increasing width of hot spot

More emission from far side Equal emission from near/far side More emission from near side

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SLIDE 14

Results from adding a variable maximum radius + hot spot

Anna Pancoast, CfA

Modeling the full CIV line (broad + narrow absorption) Modeling the CIV narrow absorption lines T=160 T=280

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SLIDE 15

Results: variable rmax + hot spot

Anna Pancoast, CfA

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SLIDE 16

Summary of variable radius + hot spot results

  • Hot spot parameters not well determined
  • Maximum radius parameter pulled to highest

values (~50 ld)

  • More likelihood levels would help (shown for

100 levels, 120 looks similar)

  • These changes to BLR geometry do not

dramatically improve model fit!

Anna Pancoast, CfA

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SLIDE 17

Results from adding a constant spectral component = means spectrum

  • The amplitude of the constant spectral

component is inferred to be very small, so it is not affecting the model fit!

  • Adding a constant component in the model for
  • ther AGN has sometimes affected the results,

so there is reason to try other constant component models

Anna Pancoast, CfA

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Adding a constant spectral component = Gaussian mixture model (GMM)

Anna Pancoast, CfA

Simulated data spectrum Variable GMM Combined Inference of simulated data Sim data Variable GMM

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Results from adding a constant spectral component = GMM

Anna Pancoast, CfA

Modeling the full CIV line (broad + narrow absorption) Modeling the CIV narrow absorption lines T=200 T=150

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GMM results: model all absorption

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GMM results: model narrow absorption

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Summary of GMM results

  • CIV does prefer some constant spectral

component

  • Convergence is still an issue for dynamics

parameters

  • More likelihood levels are needed to try getting

better fit to CIV variability and more consistent GMM models

Anna Pancoast, CfA

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SLIDE 23

Run comparison for CIV modeling all absorption

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SLIDE 24

Run comparison for CIV modeling narrow absorption

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SLIDE 25

Run comparison for masked CIV

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Conclusions

  • Simple BLR model is able to fit the Hβ data
  • Although still need to model the full red wing!
  • CIV variability has been harder to model
  • Un-masking the data has provided more constraints
  • Adding geometry parameters and a constant

spectral component don't significantly improve the fit

  • Longer runs with more likelihood levels are still

needed, but challenging due to computational constraints (e.g. run time limits on supercomputers)

  • Suggestion welcome!

Anna Pancoast, CfA

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SLIDE 27

Black hole mass Mean radius Shape

  • f radial

distr. Minimum radius Opening angle of disk Inclination angle Near or far side asymmetry Mid-plane transparency Fraction of gas in near- circular orbits Disk or cone asymmetry Inflow or

  • utflow

(outflow!) How radial and unbound are the inflow/outflow

  • rbits

Constraints on Hβ BLR Model Parameters

Anna Pancoast, CfA Red lines show median and 68% confidence intervals from LAMP 2008 for Hβ

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Example posterior PDFs

Anna Pancoast, CfA

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Results from adding a constant spectral component = GMM