dc.description.abstract | The study of Galaxy Formation & Evolution serves as a cornerstone in our quest to unravel
the mysteries of the Universe. Galaxies are not only its building blocks, but also the key to
understanding its vast complexities. With the advent of new ground-based and space-based
facilities, we have acquired multi-wavelength data of millions of galaxies, including active
galactic nuclei (AGN), both locally and at higher redshifts, which allow us to trace the evolution
of their properties through cosmic time. However, while statistical analyses of large galaxy and
AGNsamples across different redshifts are invaluable, they are not the sole avenue for exploration.
High-quality data of unique objects also play a pivotal role, offering invaluable insights into the
underlying physical processes that shape galaxies into the entities that we observe today. In this
thesis, we make use of low-frequency radio observations and optical spectroscopy to demonstrate
how such studies deepen our understanding of the Universe.
Firstly, we combine 144MHz observations from the LOFAR Two-metre Sky Survey (LoTSS)
and spectroscopic information from the 14th data release of the Sloan Digital Sky Survey
(SDSS-DR14) to compile the largest sample of uniformly-selected, spectroscopically-confirmed
quasars, the most luminous representations of AGN, and use it to investigate whether radioloud
(RL) and radio-quiet (RQ) quasars are physically distinct populations. Employing the
classical definition of radio-loudness, 𝑅 = log(𝐿1.4GHz/𝐿𝑖), we identify 3,697 RL and 111,132
RQ sources at 0.6 < 𝑧 < 3.4. To study their properties, we develop a new rest-frame spectral
stacking algorithm, designed with forthcoming massively-multiplexed spectroscopic surveys in
mind, and use it to create high signal-to-noise composite spectra of each class, matched in
redshift and absolute 𝑖-band magnitude. We show that RL quasars have redder continuum
and enhanced [O ii] emission compared to their RQ counterparts. These results persist when
additionally matching in black hole mass, suggesting that this parameter is not the defining factor
in making a RL QSO. We find that these features are not gradually varying as a function of
radio-loudness but are maintained even when probing deeper into the RQ population, indicating
that a clear-cut division in radio-loudness is not apparent. Upon examining the star formation
rates (SFRs) inferred from the [O ii] emission line, with the contribution from AGN removed
using the [Ne v] line, we find that RL quasars have a significant excess of star-formation relative
to RQ quasars out to 𝑧 = 1.9 at least. Given our findings, we suggest that RL sources reside in
systems which preferably have a rich gas supply and rapidly spinning black holes, or represent
an earlier obscured phase of QSO evolution.
We then present a detailed study of Stephan’s Quintet (SQ), an interacting nearby group of
galaxies which contains a large-scale shock front. This extragalactic shock feature is thought to
be the result of an ongoing collision between NGC 7318b and the complex intergalactic medium
of SQ, thereby allowing us to study the effects of galaxy mergers and interactions. By combining
the integral field spectroscopy from the first light data of the new William Herschel Telescope
Enhanced Area Velocity Explorer (WEAVE) with new 144MHz observations from LoTSS, plus
archival data from the Very Large Array and the James Webb Space Telescope (JWST), we are
able to see SQ in a new light. Harnessing WEAVE large integral field unit’s (LIFU) field of view
(90 × 78 arcsec2), spectral resolution (𝜆/ฮ𝜆 ∼ 2500) and continuous wavelength coverage across
the optical band, we perform robust emission line fitting. This allows us to dynamically infer
the location of the shock region with higher precision than previously possible. We find that the
ionised gas in the shock is of low density (𝑛𝑒 < 140 cm−3), with a low temperature 𝑇𝑒 < 14,000K
and metallicity consistent with the surrounding hot X-ray plasma. The Mach number (M ∼ 2.2)
of the shock suggests that it is relatively weak and is not efficient in accelerating particles.
Instead, it has adiabatically compressed the medium, leading to a boost in the radio emission by
a factor of ∼ 10, during which dust has survived the collision event. This is further demonstrated
by comparing the extinction distribution seen with WEAVE to the molecular gas and hot dust
observed with JWST.
Finally, we use the most sensitive low-frequency radio data from the LoTSS Deep Fields and
spectroscopic information from the Dark Energy Spectroscopic Instrument (DESI) to classify
2,033 radio sources as star-forming galaxies (SFGs), radio-quiet AGN (RQ AGN), emission-line
low-excitation radio galaxies (LINELERGs) and high excitation radio-galaxies (HERGs). This
was done by combining two diagnostics: (i) the identification of a radio excess compared to
star-forming processes as traced by the Balmer lines, and (ii) the use of emission line ratios to
separate sources producing higher ionisation energies than those produced from stellar radiation
alone. These spectroscopic classifications allow us to evaluate the performance of recent
photometric classifications, created for the same sample of radio sources, by using the deepest
wide-field optical, near- and mid-infrared data available. This is important because while optical
spectroscopy is widely regarded as a highly reliable method to classify sources, it is not as readily
accessible as photometry. Preliminary results show that while photometric classifications can
successfully recover the SFG class (above 90 per cent agreement with the spectroscopic classifications),
there are some discrepancies involved amongst the three AGN classes, which require
further investigation. | en_US |