OBSERVATIONS FOR GALAXY EVOLUTION STUDIES:

A comprehensive and accurate description of galaxy evolution requires the capability of obtaining high-quality (deep, high resolution) spectrophotometric measurements of galaxies, as well as detailed morphological information. All this information needs also to be gathered for galaxies in different environments (clusters, groups, filaments, field) and at different redshifts, from as high a redshift as possible down to z=0.


Figure 1: Rest-frame UVJ diagram (van Dokkum et al. 2015) used to separate star-forming from quiescent galaxies. Most of passive galaxies are located within the region demarkated by the solid lines. The specific star formation rate (SSFR) of galaxies is indicated by the color scale. Passive galaxies have a SSFR of the order of a few times 10-10 yr-1.

Deep (≳M*+2), multi-band imaging is essential to estimate photometric redshifts and calculate stellar masses (down to ≳109 M) through Spectral Energy Distribution fitting. An as-wide-as-possible coverage in wavelength, from X-rays to the (sub-)millimeter, anables us to obtain not only an accurate measurement of the above quantities, but also a robust, correct assessment of the star formation rate of galaxies, their ages, AGN activity, and dust content. X-rays, UV, mid-IR and far-IR observations require space observatories. Color-magnitude and color-color diagrams, such as the rest-frame UVJ plane (Fig. 1), have proven to be excellent tools to separate galaxies according to their star-forming activity and stellar population content, thus anabling effective techniques to constrain the star formation history of galaxies. Stellar masses and colors are simple yet effective properties to study the environmental quenching of galaxies through stellar mass functions, galaxy fractions, and the corresponding measuramente of the quenching efficiency. The latter can be measured at different redshifts to study the star-forming evolution of galaxies as their local environment builds up and evolve.


Figure 2: Integral field spectroscopy of active (AGN) galaxies obtained with the IFU of IMACS on the Baade Telescope at LCO, Chile (Westoby et al. 2012). The IFU data makes it possible to determine the kinematical structure of the baryons in galaxies, essential information to reconstruct their evolutionary history.

Despite accurate photometric redshift information, spectroscopic redshifts are crucial to draw any reliable conclusion from any galaxy evolution study. This is due to the far greater accuracy (~0.1%) of spectroscopic redshifts compared with the accuracy (~1-5%) of photometric redshifts. Spectroscopic redshifts are used to establish the actual existence and structure of mass overdensities in the unverse and their dynamical state. Spectroscopy is the most powerful tool of astrophysics, allowing us to quantify, in addition to the redshift, the dynamical mass, chemical abundance, age, and stellar population mix of galaxies, among others. Emission lines (e.g. [OII], [OIII], [NII] Hα, Hβ) in the spectra of galaxies are typically used to dermine their star formation rate and AGN contribution via diagnostics such as the BPT diagram. The development of the integral field spectroscopy technique (Fig. 2) has revolutionized the field making it possible to map out the internal kinematics of galaxies. Velocity and velocity dispersion field maps are used to unveil the true internal structure of galaxies allowing us to probe their past merger history and reconstruct their evolution. Integral field spectroscopy allows us to distinguish purely-totating from complex-kinematics disks, and uncover decoupled cores as well as gas inflows or outflows in galaxies. While optical and NIR spectroscopy provides information on the hot, ionized gas component of the interstellar medium at various redshifts, molecular line transitions (e.g. the CO ladder) in the (sub-)millimeter allow us to determine the physical conditions (density, temperature) of the cold, molecular gas component. A combination of both spectroscopy and multi-band photometry is, therefore, crucial to achieve the most complete and accurate description of galaxies.


Figure 3: The dark matter mass distribution (white contours) of galaxy cluster at z=0.8 as derived through weak lensing (Jee et al. 2005). The color image on the background corresponds to the i-band light distribution of the ensemble of cluster members. The dark matter mass density distribution can be used to get a robust measure of the local density to study the effect of the environemnt on galaxy properties.

Today, the advances in technology, such as the Adaptive Optics, makes it possible to achieve the diffraction limit of 10-m-class ground-based telescopes for certain type of observations on a few observatories (e.g. VLT, Gemini, Keck). Nevertheless, HST imaging from space provides the most detailed and accurate determination to date of the morphology of galaxies. Morphology is an essential piece of information that can be used to trace the transformation of galaxies, specially when it is utilized together with information on the local environment such as galaxy density or mass density. The latter can be determined also thanks to the high angular resolution images provided by HST. After correcting for intrinsic distortions of the optical system, weak and strong lensing analyses of galaxies in the observed field of view are the most robust way of tracing the dark matter mass distribution and overall mass content of large-scale structures such as clusters (Fig. 3), groups and filaments of galaxies.

Members of GaTOS have access to a wide variety of high-quality spectroscopic and photometric data obtained with space- (e.g. Chandra, HST, Spitzer, Herschel, WISE) and ground-based (e.g. VLT, Gemini, Magellan, ALMA, APEX) facilities covering the full electromagnetic spectrum from X-ray to millimeter wavelengths. The available data allow us to apply the above observational techniques, and to probe various environments and galaxy types distributed within about the last 10 Gyr of cosmic history.


One of the 8-m-diameter telescopes of the ESO VLT on Paranal Observatory, Chile. Credit: R. Demarco


© The GaTOS Collaboration, 2017-2021