No evidence for primordial hotspots in Planck polarization data leads to improved bounds on inflationary particle production couplings for light particles.
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The ABS method applied to Planck PR3 data yields a tSZ power spectrum amplitude 34% lower than the Planck 2015 best-fit when trispectrum is included.
Dust-cleaned CIB and CMB lensing cross-correlations yield f_NL^local = 43 ± 23, tightening constraints on local primordial non-Gaussianity.
BROOM is a Python package that applies ILC and GILC techniques for model-independent separation of CMB, SZ, and foreground signals in microwave data along with diagnostic and simulation utilities.
citing papers explorer
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Constraining Inflationary Particle Production with CMB Polarization
No evidence for primordial hotspots in Planck polarization data leads to improved bounds on inflationary particle production couplings for light particles.
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Reconstructing the Thermal Sunyaev Zeldovich Power Spectrum from Planck using the ABS Method
The ABS method applied to Planck PR3 data yields a tSZ power spectrum amplitude 34% lower than the Planck 2015 best-fit when trispectrum is included.
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New constraints on primordial non-Gaussianity from large-scale cross-correlations of CMB lensing and the cosmic infrared background
Dust-cleaned CIB and CMB lensing cross-correlations yield f_NL^local = 43 ± 23, tightening constraints on local primordial non-Gaussianity.
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BROOM: a python package for model-independent analysis of microwave astronomical data
BROOM is a Python package that applies ILC and GILC techniques for model-independent separation of CMB, SZ, and foreground signals in microwave data along with diagnostic and simulation utilities.