Talk to me about: ❖ Galactic HI ❖ Observational multiphase ISM ❖ CIB/CMB component separation ❖ Dust/Reddening ❖ HI intensity mapping (simulations) ❖ Machine learning, Bayesian models, python, Mac OS 2
probe … of star formation history Planck collaboration (2013 XXX) ❖ Strong constraints on SFH up to z=2.5 ❖ Probe dust temperature across cosmic times ❖ Understand star formation in DM halos 5
CIB match great in z and MHalo ❖ Ideal probe of relation between dark and luminous matter … of large scale structure to cross-correlate with lensing Planck collaboration (2014 XVIII) The CIB as cosmological probe 8
maps? A. Fit different frequency channels with modified blackbody spectra B. Utilize the different angular power spectra of these components C. Use template maps of Galactic dust (e.g. HI-based) ❖ Galactic thermal dust and CIB dust dominate on large scales at ~200 to 1000 GHz ❖ How to disentangle them? 9
❖ Planck collaboration (2016 XLVIII), focus on removing CIB from Galactic dust maps ❖ Using the angular power spectra of the two components ❖ Does not agree that well on a pixel-to-pixel basis 12
Generalised linear model (GLM) • • Regularised: • • Accounts for all features along line of sight I = X i ✏iTi B Radial Velocity | Datai Modeli |2 + ↵ · |✏i | 17
to me about: ❖ Galactic HI ❖ Observational multiphase ISM ❖ CIB/CMB component separation ❖ Dust/Reddening ❖ HI intensity mapping (simulations!) ❖ Machine learning, Bayesian models, python, Mac OS 21