Francisco Förster

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Theoretical models predict that the initial metallicity of the progenitor of a Type Ia supernova (SN Ia) affects the peak of the supernova light curve. This can cause a deviation from the standard light curve calibration employed when using SNe Ia as standardizable distance candles and, if there is a systematic evolution of the metallic-ity of SN Ia(More)
During the last couple of years Astronomy, as many other fields, has been facing the problem of automatic processing of massive data. This has been primarily driven by large survey instruments, which scan large areas of the sky aiming to catalog everything they find. The High Cadence Transient Survey (HiTS) is one of these surveys that searches for(More)
We study the radial distribution of supernova Ia (SNe Ia) in morphologically selected early–type host galaxies from the Sloan Digital Sky Survey (SDSS) and discuss its implications for the progenitor systems of SNe Ia. While new observations of early-type galaxies suggest that they contain small fractions of young stellar populations, they are also the most(More)
The spectral energy distribution of the dark cloud LDN 1622, as measured by Finkbeiner using WMAP data, drops above 30 GHz and is suggestive of a Boltzmann cutoff in grain rotation frequencies, characteristic of spinning dust emission. LDN 1622 is conspicuous in the 31 GHz image we obtained with the Cosmic Background Imager, which is the first cm-wave(More)
We introduce Deep-HiTS, a rotation invariant convolutional neural network (CNN) model for classifying images of transients candidates into artifacts or real sources for the High cadence Transient Survey (HiTS). CNNs have the advantage of learning the features automatically from the data while achieving high performance. We compare our CNN model against a(More)
The recent surge of huge astronomical telescopes opens new possibilities for astrophysical studies, with corresponding challenges regarding massive data analysis. Taking advantage of these new technologies, the High Cadence Transient Survey (HiTS) has developed a pipeline to detect transient astronomical phenomena, such as supernovae, by analyzing pairs of(More)
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