Black hole scaling relations of active and quiescent galaxies: Addressing selection effects and constraining virial factors
Black hole scaling relations of active and quiescent galaxies: Addressing selection effects and constraining virial factors
 
  Local samples of quiescent galaxies with dynamically measured black hole masses (Mbh) may suffer from an angular resolution-related selection effect, which could bias the observed scaling relations between Mbh and host galaxy properties away from the intrinsic relations. In particular, previous work has shown that the observed Mbh–Mstar relation is more strongly biased than the Mbh–σ relation. Local samples of active galactic nuclei (AGN) do not suffer from this selection effect, as in these samples Mbh is estimated from megamasers and/or reverberation mapping-based techniques. With the exception of megamasers, Mbh estimates in these AGN samples are proportional to a virial coefficient fvir. Direct modelling of the broad-line region suggests that fvir ∼ 3.5. However, this results in an Mbh–Mstar relation for AGN, which lies below and is steeper than the one observed for quiescent black hole samples. A similar though milder trend is seen for the Mbh–σ relation. Matching the high-mass end of the Mbh–Mstar and Mbh–σ relations observed in quiescent samples requires fvir ≳ 15 and fvir ≳ 7, respectively. On the other hand, fvir ∼ 3.5 yields Mbh–σ and Mbh–Mstar relations for AGN, which are remarkably consistent with the expected ‘intrinsic’ correlations for quiescent samples (i.e. once account has been made of the angular resolution-related selection effect), providing additional evidence that the sample of local quiescent black holes is biased. We also show that, as is the case for quiescent black holes, the Mbh–Mstar scaling relation of AGN is driven by σ, thus providing additional key constraints to black hole–galaxy co-evolution models.
  
  1278-1292
  
    
      Shankar, Francesco
      
        b10c91e4-85cd-4394-a18a-d4f049fd9cdb
      
     
  
    
      Bernardi, Mariangela
      
        51f0929c-ba65-4d9c-a814-673442f48d75
      
     
  
    
      Richardson, Kayleigh
      
        00dbc2b2-e6f7-4c92-b96e-4d8f74c0dd43
      
     
  
    
      Marsden, Christopher
      
        ccd1ecc8-3eb4-4699-a87e-0bfba0dd40b0
      
     
  
    
      Sheth, Ravi
      
        87b37c62-0b6c-44d9-a9d5-31f71605b20f
      
     
  
    
      Allevato, Viola
      
        cced4e40-6a45-4261-911a-442d99a6aeb7
      
     
  
    
      Graziani, Luca
      
        76c154b9-c692-44ef-83f2-93861443cc71
      
     
  
    
      Mezcua, Mar
      
        39cb729d-b438-4d63-95f2-3c318ff87ad1
      
     
  
    
      Ricci, Federica
      
        8d69561c-2eb1-4af1-84d7-1c13286f32d5
      
     
  
    
      Penny, Samantha J.
      
        4fbe5870-87a8-4eeb-94ae-019441a20551
      
     
  
    
      La Franca, Fabio
      
        abbb3d3c-c4e3-4e73-920a-c6c183698ed2
      
     
  
    
      Pacucci, Fabio
      
        9582eb1a-643b-44cc-80fa-e4ff53b585f4
      
     
  
  
   
  
  
    
    
  
    
    
  
    
      May 2019
    
    
  
  
    
      Shankar, Francesco
      
        b10c91e4-85cd-4394-a18a-d4f049fd9cdb
      
     
  
    
      Bernardi, Mariangela
      
        51f0929c-ba65-4d9c-a814-673442f48d75
      
     
  
    
      Richardson, Kayleigh
      
        00dbc2b2-e6f7-4c92-b96e-4d8f74c0dd43
      
     
  
    
      Marsden, Christopher
      
        ccd1ecc8-3eb4-4699-a87e-0bfba0dd40b0
      
     
  
    
      Sheth, Ravi
      
        87b37c62-0b6c-44d9-a9d5-31f71605b20f
      
     
  
    
      Allevato, Viola
      
        cced4e40-6a45-4261-911a-442d99a6aeb7
      
     
  
    
      Graziani, Luca
      
        76c154b9-c692-44ef-83f2-93861443cc71
      
     
  
    
      Mezcua, Mar
      
        39cb729d-b438-4d63-95f2-3c318ff87ad1
      
     
  
    
      Ricci, Federica
      
        8d69561c-2eb1-4af1-84d7-1c13286f32d5
      
     
  
    
      Penny, Samantha J.
      
        4fbe5870-87a8-4eeb-94ae-019441a20551
      
     
  
    
      La Franca, Fabio
      
        abbb3d3c-c4e3-4e73-920a-c6c183698ed2
      
     
  
    
      Pacucci, Fabio
      
        9582eb1a-643b-44cc-80fa-e4ff53b585f4
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Shankar, Francesco, Bernardi, Mariangela, Richardson, Kayleigh, Marsden, Christopher, Sheth, Ravi, Allevato, Viola, Graziani, Luca, Mezcua, Mar, Ricci, Federica, Penny, Samantha J., La Franca, Fabio and Pacucci, Fabio
  
  
  
  
   
    (2019)
  
  
    
    Black hole scaling relations of active and quiescent galaxies: Addressing selection effects and constraining virial factors.
  
  
  
  
    Monthly Notice of the Royal Astronomical Society, 485 (1), .
  
   (doi:10.1093/mnras/stz376). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          Local samples of quiescent galaxies with dynamically measured black hole masses (Mbh) may suffer from an angular resolution-related selection effect, which could bias the observed scaling relations between Mbh and host galaxy properties away from the intrinsic relations. In particular, previous work has shown that the observed Mbh–Mstar relation is more strongly biased than the Mbh–σ relation. Local samples of active galactic nuclei (AGN) do not suffer from this selection effect, as in these samples Mbh is estimated from megamasers and/or reverberation mapping-based techniques. With the exception of megamasers, Mbh estimates in these AGN samples are proportional to a virial coefficient fvir. Direct modelling of the broad-line region suggests that fvir ∼ 3.5. However, this results in an Mbh–Mstar relation for AGN, which lies below and is steeper than the one observed for quiescent black hole samples. A similar though milder trend is seen for the Mbh–σ relation. Matching the high-mass end of the Mbh–Mstar and Mbh–σ relations observed in quiescent samples requires fvir ≳ 15 and fvir ≳ 7, respectively. On the other hand, fvir ∼ 3.5 yields Mbh–σ and Mbh–Mstar relations for AGN, which are remarkably consistent with the expected ‘intrinsic’ correlations for quiescent samples (i.e. once account has been made of the angular resolution-related selection effect), providing additional evidence that the sample of local quiescent black holes is biased. We also show that, as is the case for quiescent black holes, the Mbh–Mstar scaling relation of AGN is driven by σ, thus providing additional key constraints to black hole–galaxy co-evolution models.
         
      
      
        
          
            
  
    Text
 1901.11036
     - Accepted Manuscript
   
  
  
    
  
 
          
            
          
            
           
            
           
        
          
        
        
       
    
   
  
  
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      Accepted/In Press date: 28 January 2019
 
    
      e-pub ahead of print date: 7 February 2019
 
    
      Published date: May 2019
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
  
  
    
  
    
  
  
        Identifiers
        Local EPrints ID: 430642
        URI: http://eprints.soton.ac.uk/id/eprint/430642
        
          
        
        
        
        
          PURE UUID: 944c06dd-03b5-475c-8f06-1e8a4a667e67
        
  
    
        
          
            
          
        
    
        
          
        
    
        
          
        
    
        
          
            
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
  
  Catalogue record
  Date deposited: 07 May 2019 16:30
  Last modified: 16 Mar 2024 01:34
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      Contributors
      
        
      
          
          Author:
          
            
            
              Mariangela Bernardi
            
          
        
      
          
          Author:
          
            
            
              Kayleigh Richardson
            
          
        
      
          
          Author:
          
            
              
              
                Christopher Marsden
              
              
            
            
          
        
      
          
          Author:
          
            
            
              Ravi Sheth
            
          
        
      
          
          Author:
          
            
            
              Viola Allevato
            
          
        
      
          
          Author:
          
            
            
              Luca Graziani
            
          
        
      
          
          Author:
          
            
            
              Mar Mezcua
            
          
        
      
          
          Author:
          
            
            
              Federica Ricci
            
          
        
      
          
          Author:
          
            
            
              Samantha J. Penny
            
          
        
      
          
          Author:
          
            
            
              Fabio La Franca
            
          
        
      
          
          Author:
          
            
            
              Fabio Pacucci
            
          
        
      
      
      
    
  
   
  
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