113 citations · 1.1k across the 34 of their papers we have counts for
5 papers · 1 filter
Photometric Redshift Estimation with a Convolutional Neural Network: NetZ
S. Schuldt, S. H. Suyu, R. Cañameras +4
The redshifts of galaxies are a key attribute that is needed for nearly all extragalactic studies. Since spectroscopic redshifts require additional telescope and human resources, m…
HOLISMOKES -- IV. Efficient mass modeling of strong lenses through deep learning
S. Schuldt, S. H. Suyu, T. Meinhardt +4
Modelling the mass distributions of strong gravitational lenses is often necessary to use them as astrophysical and cosmological probes. With the high number of lens systems ($>10^…
Planck's Dusty GEMS. VIII. Dense-gas reservoirs in the most active dusty starbursts at z~3
R. Canameras, N. P. H. Nesvadba, R. Kneissl +6
We present ALMA, NOEMA, and IRAM-30m/EMIR observations of the high-density tracer molecules HCN, HCO+, and HNC in three of the brightest lensed dusty star-forming galaxies at z~3-3…
HOLISMOKES -- II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks
R. Canameras, S. Schuldt, S. H. Suyu +6
We present a systematic search for wide-separation (Einstein radius >1.5"), galaxy-scale strong lenses in the 30 000 sq.deg of the Pan-STARRS 3pi survey on the Northern sky. With l…
HOLISMOKES -- I. Highly Optimised Lensing Investigations of Supernovae, Microlensing Objects, and Kinematics of Ellipticals and Spirals
S. H. Suyu, S. Huber, R. Cañameras +10
We present the HOLISMOKES programme on strong gravitational lensing of supernovae as a probe of supernova (SN) physics and cosmology. We investigate the effects of microlensing on…