Dataset for Numerical Modelling of Pump-Wavelength Dependence of High Harmonic Generation Efficiency
Dataset for Numerical Modelling of Pump-Wavelength Dependence of High Harmonic Generation Efficiency
 
  Dataset to support conference: Samuel M. Senior, William S. Brocklesby, and Peter Horak "Numerical modelling of pump-wavelength dependence of high harmonic generation efficiency", SPIE Photonics Europe, 6-10 Apr 2020, France; Proc. SPIE 11358, 1135815 (2020). https://doi.org/10.1117/12.2554554
Paper title :  "Numerical Modelling of Pump-Wavelength Dependence of High Harmonic Generation Efficiency". Contained are full capillary simulation and single atom/sheet of atoms datasets for 1 W and 3 W average laser power, with the single atom/sheet of atom datasets being split into a number of sub-datasets.
Due to the size of this dataset, approx 47Gb, the files are available on request via the data request web form at https://library.soton.ac.uk/datarequest
  high harmonic generation, Wavelength scaling, Hollow core fiber
  
  
    University of Southampton
   
  
    
      Senior, Samuel Martin
      
        993b2864-8eea-4440-9609-37ee04ef7d48
      
     
  
    
      Horak, Peter
      
        520489b5-ccc7-4d29-bb30-c1e36436ea03
      
     
  
    
      Brocklesby, William
      
        c53ca2f6-db65-4e19-ad00-eebeb2e6de67
      
     
  
  
   
  
  
    
    
  
  
    
      Senior, Samuel Martin
      
        993b2864-8eea-4440-9609-37ee04ef7d48
      
     
  
    
      Horak, Peter
      
        520489b5-ccc7-4d29-bb30-c1e36436ea03
      
     
  
    
      Brocklesby, William
      
        c53ca2f6-db65-4e19-ad00-eebeb2e6de67
      
     
  
       
    
 
  
    
      
  
  Senior, Samuel Martin
  
  
  
   
    (2020)
  
  
  
    
    Dataset for Numerical Modelling of Pump-Wavelength Dependence of High Harmonic Generation Efficiency.
  
    
  
  
  
  
   University of Southampton 
  doi:10.5258/SOTON/D1601
  [Dataset] 
  
  
   
  
    
    
      
        
          Abstract
          Dataset to support conference: Samuel M. Senior, William S. Brocklesby, and Peter Horak "Numerical modelling of pump-wavelength dependence of high harmonic generation efficiency", SPIE Photonics Europe, 6-10 Apr 2020, France; Proc. SPIE 11358, 1135815 (2020). https://doi.org/10.1117/12.2554554
Paper title :  "Numerical Modelling of Pump-Wavelength Dependence of High Harmonic Generation Efficiency". Contained are full capillary simulation and single atom/sheet of atoms datasets for 1 W and 3 W average laser power, with the single atom/sheet of atom datasets being split into a number of sub-datasets.
Due to the size of this dataset, approx 47Gb, the files are available on request via the data request web form at https://library.soton.ac.uk/datarequest
         
      
      
        
          
            
  
    Text
 README.txt
     - Dataset
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Published date: 2020
 
    
  
  
    
  
    
  
    
  
    
  
    
     
    
  
    
     
        Keywords:
        high harmonic generation, Wavelength scaling, Hollow core fiber
      
    
  
    
  
    
  
  
        Identifiers
        Local EPrints ID: 454803
        URI: http://eprints.soton.ac.uk/id/eprint/454803
        
          
        
        
        
        
          PURE UUID: 426f43c2-dc61-4e2e-a68f-573c7c12fe05
        
  
    
        
          
            
              
            
          
        
    
        
          
            
              
            
          
        
    
        
          
            
              
            
          
        
    
  
  Catalogue record
  Date deposited: 24 Feb 2022 20:13
  Last modified: 06 May 2023 01:39
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      Contributors
      
          
          Creator:
          
            
              
              
                Samuel Martin Senior
              
              
                 
              
            
            
          
         
      
          
          Research team head:
          
            
              
              
                Peter Horak
              
              
                 
              
            
            
          
         
      
        
      
      
      
    
  
   
  
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