Determining thermal dust emission from planck hfi data using a sparse, parametric technique

HIGHLIGHTS

• who: Irfan Melis O. and colleagues from the CEA, CNRS, Université Paris-Saclay, Université Paris Diderot, Sorbonne Paris Cité, Gif-sur-Yvette, France have published the research work: Determining thermal dust emission from Planck HFI data using a sparse, parametric technique, in the Journal: (JOURNAL)
• what: The authors determine the thermal dust MBB parameters by fitting to total intensity data at 353, 545, 857, and 3000 GHz. An initial super-pixel area of 128 × 128 pixels (roughly four by four degrees) is set to provide the first fit to the MBB model; this "first pass . . .
  

   

  

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