Conveners
Cosmology & Simulations: IV
- Giuseppe Puglisi (Istituto Nazionale di Astrofisica (INAF))
We use a new approach based on self-supervised deep learning networks originally applied to transparency separation in order to simultaneously extract the components of the extragalactic submillimeter sky, namely the cosmic microwave background (CMB), the cosmic infrared background (CIB), and the Sunyaev-Zel'dovich (SZ) effect. In this proof-of-concept paper, we test our approach on the WebSky...
The field of supernova Ia (SN Ia) cosmology---which already yielded the groundbreaking discovery of dark energy---is set to be revolutionised in the coming years by an avalanche of new data. Their analysis will require a methodology that can easily scale to the >10^5 expected SNae Ia while rigorously accounting for systematics. To this end, I will present a SN Ia analysis framework based on...
Whilst star formation (SF) in the interstellar medium (ISM) and the physics that govern it are some of the most fundamental mechanisms needed to paint a nuanced understanding of galaxy evolution, attempts to construct closed-form analytic expressions that connect SF and physical variables that have been observed to influence it, such as the density and turbulence properties of surrounding gas,...
We present ForSE+ package to produce non-Gaussian diffuse Galactic thermal dust emission maps at arcminute angular scales along with the capacity to generate random realizations of small scales. This work is based on ForSE (Foreground Scale Extender) package, which was recently proposed to simulate non-Gaussian small scales of thermal dust emission at 12′ using Generative Adversarial Networks...
Observations and state-of-the-art cosmological simulations show that there is a lack of low-mass as well as massive galaxies with respect to the number of dark matter halos, in comparison to the theoretical predictions by the ΛCDM model. For the local universe, this discrepancy can be explained by studied baryonic processes, but it is still unclear what causes the dearth of galaxies in the...
In this talk we propose a Physics based AI framework for precise radiometer calibration in global 21cm cosmology. These experiments aim to study formation of the first stars and galaxies by detecting the faint 21-cm radio emission from neutral hydrogen. This global or sky-averaged signal is predicted to be five orders of magnitude dimmer than the foregrounds. Therefore detection of the signal...
