arXiv subjects

Mauricio Ramirez

Publications and source records attributed to Mauricio Ramirez.

3 recordsLinked to original sources

arXiv2025

The Type I Superluminous Supernova Catalogue II: Spectroscopic Evolution in the Photospheric Phase, Velocity Measurements, and Constraints on Diversity

Hydrogen-poor superluminous supernovae (SLSNe) are among the most energetic explosions in the universe, reaching luminosities up to 100 times greater than those of normal supernovae. Detailed spectral analysis hold the potential to reveal their progenitors and underlying energy sources. This paper presents the largest compilation of SLSN photospheric spectra to date, encompassing data from ePESSTO+, the FLEET search and all published spectra up to December 2022. The dataset includes a total of 974 spectra of 234 SLSNe. By constructing average phase binned spectra, we find SLSNe initially exhibit high temperatures (10000 to 11000 K), with blue continua and weak lines. A rapid transformation follows, as temperatures drop to 5000 to 6000 K by 40 days post peak, leading to stronger P-Cygni features. These averages also suggest a fraction of SLSNe may contain some He at explosion. Variance within the dataset is slightly reduced when defining the phase of spectra relative to explosion, rather than peak, and normalising to the population's median e-folding time. Principal Component Analysis (PCA) supports this, requiring fewer components to explain the same level of variation when binning data by scaled days from explosion, suggesting a more homogeneous grouping. Using PCA and K-Means clustering, we identify outlying objects with unusual spectroscopic evolution and evidence for energy input from interaction, but find not support for groupings of two or more statistically significant subpopulations. We find Fe II {\lambda}5169 lines velocities closely track the radius implied from blackbody fits, indicating formation near the photosphere. We also confirm a correlation between velocity and velocity gradient, which can be explained if all SLSNe are in homologous expansion but with different scale velocities. This behaviour aligns with expectations for an internal powering mechanism.

astro-ph.HE↗

arXiv2025

Early Light Curve Excess in Type IIb Supernovae Observed by the ATLAS Survey: Qualitative Constraints on Progenitor Systems

Type IIb supernovae (SNe IIb) often exhibit an early light curve excess (EE) preceding the main peak powered by radioactive nickel decay. The physical origin of this early emission remains an open question. Among the proposed scenarios, shock cooling emission-resulting from the interaction between the shockwave and extended envelopes-is considered the most plausible mechanism. The frequency of these events remains unconstrained. This study aims to quantify the frequency of EE in SNe IIb and investigate its physical origin by analyzing optical light curves from the Asteroid Terrestrial-impact Last Alert System (ATLAS) survey. We selected 74 SNe IIb from 153 spectroscopically classified events in the Transient Name Server (TNS) database, observed by ATLAS, with peak fluxes exceeding 150 {\mu}Jy and explosion epoch uncertainties lower than six days. Using light curve model fitting and outlier analysis, we identified SNe IIb exhibiting EE and analyzed their photometric properties. We found 21 SNe IIb with EE, corresponding to a frequency of approximately 28-40%, with the higher value obtained under the most stringent data cuts. The EE's duration and color evolution are consistent with shock cooling in extended hydrogen-rich envelopes. We also found that EE SNe IIb have longer rise times and faster post-peak decline rates than non-EE SNe IIb, while both groups share similar peak absolute magnitudes. Our findings suggest that EE and non-EE SNe IIb likely share similar initial progenitor masses but differ in ejecta mass properties, potentially due to varying degrees of binary interaction. This study provides constraints on the evolutionary pathways of SNe IIb progenitors as compact stars with and without extended hydrogen envelopes.

astro-ph.HE↗

arXiv2022

DELIGHT: Deep Learning Identification of Galaxy Hosts of Transients using Multi-resolution Images

We present DELIGHT, or Deep Learning Identification of Galaxy Hosts of Transients, a new algorithm designed to automatically and in real-time identify the host galaxies of extragalactic transients. The proposed algorithm receives as input compact, multi-resolution images centered at the position of a transient candidate and outputs two-dimensional offset vectors that connect the transient with the center of its predicted host. The multi-resolution input consists of a set of images with the same number of pixels, but with progressively larger pixel sizes and fields of view. A sample of \nSample galaxies visually identified by the ALeRCE broker team was used to train a convolutional neural network regression model. We show that this method is able to correctly identify both relatively large ($10\arcsec < r < 60\arcsec$) and small ($r \le 10\arcsec$) apparent size host galaxies using much less information (32 kB) than with a large, single-resolution image (920 kB). The proposed method has fewer catastrophic errors in recovering the position and is more complete and has less contamination ($< 0.86\%$) recovering the cross-matched redshift than other state-of-the-art methods. The more efficient representation provided by multi-resolution input images could allow for the identification of transient host galaxies in real-time, if adopted in alert streams from new generation of large etendue telescopes such as the Vera C. Rubin Observatory.

astro-ph.IM↗