Conveners
Parallel - Our Galaxy & Cradle of Life
- Leonardo Testi (Dipartimento di Fisica e Astronomia, Università di Bologna)
- Grazia Maria Gloria Umana (Istituto Nazionale di Astrofisica (INAF))
- Adriano Ingallinera (INAF)
Parallel - Our Galaxy & Cradle of Life
- Grazia Maria Gloria Umana (Istituto Nazionale di Astrofisica (INAF))
- Adriano Ingallinera (Istituto Nazionale di Astrofisica (INAF))
- Leonardo Testi (Dipartimento di Fisica e Astronomia, Università di Bologna)
Parallel - Our Galaxy & Cradle of Life
- Grazia Maria Gloria Umana (Istituto Nazionale di Astrofisica (INAF))
- Leonardo Testi (Dipartimento di Fisica e Astronomia, Università di Bologna)
- Adriano Ingallinera (Istituto Nazionale di Astrofisica (INAF))
Parallel - Our Galaxy & Cradle of Life
- Leonardo Testi (Dipartimento di Fisica e Astronomia, Università di Bologna)
- Grazia Maria Gloria Umana (Istituto Nazionale di Astrofisica (INAF))
- Adriano Ingallinera (Istituto Nazionale di Astrofisica (INAF))
Parallel - Our Galaxy & Cradle of Life
- There are no conveners in this block
In a nutshell, the SKA Working Group called Cradle of Life aims to understand how the SKA can be
used to observe the earliest stages of the raw material for planet formation, allowing, at the same time, deep
searches for prebiotic molecules (such as amino acids) both within and beyond our solar system. In this
contribution, the preparatory work carried on in the last years by the SKA WG...
The last decade has seen a trasformation of the field of planet formation, high angular resolution images and surveys with ALMA and the VLT telescopes have drastically changed our view of protoplanetary disk evolution. The main results are: the realization that planets form on timescales much faster than previously thought and the detection and characterization of the first protoplanets...
The frequency coverage of the SKA mid 5 bands (4.6-15.4 GHz) will open a window of unprecedented sensitivity on molecular emission at centimetre wavelengths. In this frequency regime, most of medium size organic species present in the interstellar medium (the so called iCOM) exhibit strong rotational features. These spectra are generally complex, even at moderate temperatures, thus requiring...
The low temperature (<20 K) and high density (n>10^4 cm^-3) of dense molecular clouds cause simple gas-phase species to freeze onto dust grains. The so-formed ices are then subjected to a variety of processes that may increase their chemical complexity. Among them, UV photons and low-energy cosmic rays trigger the formation of both simple and more complex species [1, 2], including...
The massive star formation process involves various scales, spanning from giant molecular clouds, parsec-scales structures, down to the innermost regions of the star-forming cores. To fully understand the whole process, it is essential to analyse key interstellar medium properties, such as the interplay between gravity, turbulence, and magnetic fields, along with the impact of feedback from...
Deep radio continuum surveys are an essential tool for the study of the different populations of Galactic radio-emitting objects. So far, however, statistical studies of these families are severely affected by selection effects due to the limited capabilities of existing surveys, which undermine the detection of the shallowest and most extended sources. This observational bias results in an...
The detection of magnetic fields in exoplanets gives the possibility of investigating an important condition for the development of life on alien worlds. Magnetospheres act as shields preventing the arrival of ionised and potentially dangerous particles at the surface of the planets. On the other hand, the intense magnetic activity of parent stars could have influenced the atmospheric...
A new era in radio astronomy has begun as the Square Kilometer Array (SKA) precursors started their planned large area survey programs. Humongous datasets with thousands of sources per square degree are being delivered, requiring a high degree of automation and knowledge extraction to maximize the scientific return. This has fuelled a growing interest in Machine Learning (ML) techniques as a...
