69 citations · 538 across the 43 of their papers we have counts for
45 papers
Data-driven Galaxy Population Prior for Photometric Redshifts
Nikolas Frediani, Daniel Gruen, Luca Tortorelli +1
Stage-IV cosmological surveys rely on well-characterised photometric redshift distributions for constraining cosmological models, yet the projected weak lensing requirements are ab…
Anisotropic redshift distributions in photometric galaxy clustering and their cosmological impact
Zekang Zhang, Yunhe Wang, Daniel Gruen +4
Photometric galaxy clustering is a major probe of large-scale structure whose interpretation relies on accurate characterization of the galaxy redshift distribution, . Standa…
GalSBI: Forward Modelling Galaxy Clustering and Population
Silvan Fischbacher, Luca Tortorelli, Tomasz Kacprzak +1
Forward modelling is a powerful approach for analyzing large-scale structure surveys. For this purpose, we extend the GalSBI framework to jointly model the galaxy population and cl…
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
Luca Tortorelli, Daniel Grün
The cosmological redshift of a galaxy's light is inferable from its observable properties in images. Because imaging is much easier to acquire than spectroscopic observations that…
The velocity dispersion function of red galaxies in four Hubble Frontier Fields galaxy clusters
G. Granata, L. Tortorelli, C. Grillo +6
We present a detailed study of the stellar kinematic properties of red member galaxies in the cores of four strong lensing galaxy clusters at intermediate redshifts included in the…
Cosmic chronometers with galaxy clusters: a new avenue for multi-probe cosmology
E. Tomasetti, M. Moresco, G. Granata +9
We provide a new measurement of the expansion history of the Universe at with the cosmic chronometers (CC) method, exploiting the high-quality spectroscopic VLT/MUSE data…
Cosmology with supernova Encore in the strong lensing cluster MACS J0138-2155: Lens model comparison and H0 measurement
S. H. Suyu, A. Acebron, C. Grillo +28
MACS J0138-2155 is the only known cluster to strongly lens two supernovae (SNe), Requiem and Encore, from the same host galaxy at z=1.949. We present seven independent mass models…
ProMage: fast galaxy magnitudes emulation combining SED forward-modelling and machine learning
Luca Tortorelli, Silvan Fischbacher, Aaron S. G. Robotham +2
We present ProMage, a feed-forward neural network that emulates the computation of observer- and rest-frame magnitudes from the generative galaxy SED package ProSpect. The network…
Emulating redshift mixing due to blending in weak gravitational lensing
Zekang Zhang, Daniel Gruen, Luca Tortorelli +2
Galaxies whose images overlap in the focal plane of a telescope, commonly referred to as blends, are often located at different redshifts. Blending introduces a challenge to weak-l…
GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications
Luca Tortorelli, Silvan Fischbacher, Daniel Grün +4
Next generation photometric and spectroscopic surveys will enable unprecedented tests of the concordance cosmological model and of galaxy formation and evolution. Fully exploiting…
Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production
The RAIL Team, Jan Luca van den Busch, Eric Charles +31
Virtually all extragalactic use cases of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) require the use of galaxy redshift information, yet the vast majorit…
Is there a tilt in the fundamental (hyper)plane?
M. D'Addona, A. Mercurio, C. Grillo +18
We investigate the fundamental plane (FP) of selected early-type (ETG) member galaxies of the galaxy cluster PLCK G287.0+32.9 (), exploring also four-dimensional hy…
Cosmology with supernova Encore in the strong lensing cluster MACS J01382155: photometry, cluster members, and lens mass model
S. Ertl, S. H. Suyu, S. Schuldt +23
The strongly lensed Supernova (SN) Encore at a redshift of , discovered behind the galaxy cluster MACS J01382155 at , provides a rare opportunity for time-de…
galsbi: A Python package for the GalSBI galaxy population model
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +5
Large-scale structure surveys measure the shapes and positions of millions of galaxies in order to constrain the cosmological model with high precision. The resulting large data vo…
UFig v1: The ultra-fast image generator
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +8
With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. is a public Python package that simulates astronomic…
GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference
Silvan Fischbacher, Tomasz Kacprzak, Luca Tortorelli +4
We present GalSBI, a phenomenological model of the galaxy population for cosmological applications using simulation-based inference. The model is based on analytical parametrizatio…
Impact of stellar population synthesis choices on forward modelling-based redshift distribution estimates
Luca Tortorelli, Jamie McCullough, Daniel Gruen
The forward modelling of galaxy surveys has recently gathered interest as one of the primary methods to achieve the required precision on the estimate of the redshift distributions…
The PAU Survey: galaxy stellar population properties estimates with narrowband data
Benjamin Csizi, Luca Tortorelli, Małgorzata Siudek +17
Narrowband galaxy surveys have recently gained interest as a promising method to achieve the necessary accuracy on the photometric redshift estimate of individual galaxies for stag…
Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI
Ashod Khederlarian, Jeffrey A. Newman, Brett H. Andrews +43
We present a simple, differentiable method for predicting emission line strengths from rest-frame optical continua using an empirically-determined mapping. Extensive work has been…
The powerful lens galaxy cluster PLCK G287.0+32.9 ()
Maurizio D'Addona, Amata Mercurio, Piero Rosati +17
We present a new high-precision strong lensing model of PLCK G287.032.9, a massive lens galaxy cluster at , with the aim to get an accurate estimation of its effective…
Simulation-based inference of deep fields: galaxy population model and redshift distributions
Beatrice Moser, Tomasz Kacprzak, Silvan Fischbacher +3
Accurate redshift calibration is required to obtain unbiased cosmological information from large-scale galaxy surveys. In a forward modelling approach, the redshift distribution n(…
Exploring the low-mass regime of galaxy-scale strong lensing: Insights into the mass structure of cluster galaxies
Giovanni Granata, Pietro Bergamini, Claudio Grillo +8
We aim at a direct measurement of the compactness of three galaxy-scale lenses in massive clusters, testing the accuracy of the scaling laws that describe the members in strong len…
The PAU Survey: a new constraint on galaxy formation models using the observed colour redshift relation
G. Manzoni, C. M. Baugh, P. Norberg +27
We use the GALFORM semi-analytical galaxy formation model implemented in the Planck Millennium N-body simulation to build a mock galaxy catalogue on an observer's past lightcone. T…
Fast Forward Modelling of Galaxy Spatial and Statistical Distributions
Pascale Berner, Alexandre Refregier, Beatrice Moser +3
A forward modelling approach provides simple, fast and realistic simulations of galaxy surveys, without a complex underlying model. For this purpose, galaxy clustering needs to be…