One of the biggest discoveries of the last two decades is the fact that we live in a spatially flat universe whose expansion is accelerating. This acceleration is consistent with the effect of a cosmological constant, but it may also be caused by the presence of a dynamical energy component with negative pressure, now termed dark energy (DE), or might also point to a fundamental modification of our description of gravity. Dark energy is the dominant component in the universe, significantly more important than the barionic matter, radiation and dark matter. The final explanation for this component will provide fundamental knowledge about the nature of gravity, particle physics and the nature of the universe as a whole.
Galaxy clusters are the largest collapsed structures in the universe, containing up to hundreds or thousands of individual galaxies. The redshift distribution and the evolution of clustering of massive clusters of galaxies can provide a direct measurement of the cosmic volume as a function of redshift as well as the growth rate of density perturbations. This is complementary to the measurement of the BAO scale, which is purely geometrical in nature. Comparison of theory to observations requires a calibration of the cluster masses. Clusters of galaxies can be identified optically by searching for concentrations of galaxies with the same velocities. J-PAS by will provide a new window for accurate optical cluster detection and selection, based on the combination of photometric colors and good photo-z precision (< 1000km/s in redshift) over all galaxies around each cluster, which will help to improve cluster completeness and purity. J-PAS will also provide the opportunity to self-calibrate the mass threshold of a given cluster sample in different ways, such as stacking weak lensing magnification measurements over the cluster position or using the (biased) amplitude of clustering in the same cluster sample. The photo-z accuracy for clusters will be improved in comparison to the galaxy photo-z by the square root of the number of galaxies in the cluster. This will result in a typical photo-z accuracy which is a few times smaller than that for galaxies. At the same time, one could use the velocity dispersion of the galaxies in each cluster to provide an estimate of the cluster mass. This should be accurate enough to have an estimate of the mass threshold of a given cluster sample, allowing to build a reliable mass function, the evolution of which can constrain Dark Energy parameters.
A cluster survey carried out over the J-PAS area also constrains cosmology through the spatial clustering of the galaxy clusters. As mentioned above, this can be done with even higher photo-z accuracy than in J-PAS. The clustering of galaxy clusters reflect the underlying clustering in the DM; these correlations contain a wealth of cosmological information, much like the information contained in the LRG correlation function, including the BAO position. Even if the number density for clusters is lower than that of LRGs, this is partially compensated by the higher (biased) clustering amplitude. We will use J-PAS cluster redshift distribution and cluster power spectrum as cosmological probes to study the density and nature of the DE. J-PAS can also be used in combination with weak lensing (also from J-PAS) and other surveys to provide accurate photo-z in a sample of clusters detected by the Sunyaev–Zel’dovich (SZ) or X-ray signatures of hot gas in clusters.
Supernovae are another area of impact of the J-PAS survey. Due to the broad spectral features of supernovae, the filter system of J-PAS is ideal not only to discover them, but also to measure their light curves, to characterize their types (SN Ia/Ib/Ic/II etc.) and to extract their redshifts. J-PAS will discover and classify thousands of low- to medium-redshift supernovae, and will have a major impact in controlling some of the main systematic uncertainties associated with these standardizable candles. Along with the supernovae, their environments will also be fully characterized -- something that has never been done in such a systematic way. The 56 filters of 100 A FWHM effectively provide low resolution spectroscopy of all observed objects. This means that J-PAS will generate an impressive amount of ancillary data that will be extremely valuable for researchers of other astronomical areas. This combination of filters will, for example, provide measurements of many interesting parameters for the study of evolution of galaxies: direct stellar temperatures, stellar masses, distribution of stellar ages, metallicity, dust extinction, and interstellar gas emission. The collection of spectro-photometric data of more than 300 hundred million galaxies will allow to extensive studies of integrated stellar populations, and, since bright red galaxies will be observed until z ~0.9, to investigate the evolution of galaxies. This will allow detailed studies of star formation rates, galaxies mergers rates, and chemical evolution that will help in the study of the stellar components of galaxies of different types as function of its environments. Furthermore, stellar populations of nearby galaxies will be studied pixel by pixel, allowing us to to investigate the spatial evolution of the stellar component in thousands of galaxies.
QSOs are another area where J-PAS will have a major impact. The narrow-band filter system is ideal to detect the broad emission lines of type-1 quasars, and we expect to identify and measure with high accuracy the redshifts of more than 3 million of these objects, up to redshifts of z~5. This quasar survey will be by far the largest in existence, improving on SDSS by a factor of > 20, and allowing, for the first time, a measurement of large-scale structure with quasars alone. Even BAOs will be observable with quasars, both in the angular and in the radial directions. Moreover, the dataset will also be ideal to explore issues such as the clustering and bias of quasars, their luminosity function, duty cycles, etc. Another exciting application of the quasar survey is the search for strongly lensed systems: J-PAS will provide hundreds of multiple-image candidates, and may allow a direct measurement of the lensing potential (or cross-section for lensing) as a function of redshift.
J-PAS will provide a map of galaxies (with well defined redshifts) in the neighborhoods of the observed target lines of all quasars, which will be extremely useful to correlate absorbers with the galaxies observed in the line of sight, providing valuable information on the gas distribution around the galaxies. The most luminous star-forming galaxies at redshifts z ~2.5 will be detectable with J-PAS narrow-band photometry by means of their Lyman continuum break, the Lyα forest absorption, and possibly Lyα emission line. This will allow the study of this galaxy population and its clustering properties over an unprecedentedly large volume.
By selecting the JPCam filters appropriately, several stellar parameters observed in J-PAS should be measurable, such as effective temperature, surface gravity, iron abundance, and α/Fe.
The distribution and chemical composition of asteroids is one of the most significant measurements of their formation and evolutionary histories, but it is also one of the most difficult quantities to be measured due the selection effects. The use of asteroid colors opened a new window for studies of the origin and evolution of asteroids. This idea was carried out recently using the 5 filters of the SDSS “Moving Object Catalog” showing very promising results in the area (Parker et al. 2008, Icarus, 198, 138; Carvano et al. 2010). The system of 56 filters of J-PAS camera will allow to extend this study enormously, basically getting entire spectra of each asteroid, leading the exploration of this new scientific window to a new level.