output
20152026
most citedType II supernovae from the Carnegie Supernova Project-I. II. Physical parameter distributions from hydrodynamical modelling

71 citations

25 papers

cond-mat.dis-nn2026

Data-Driven Modelling to predict forest fire spread in the Patagonian region in Argentina

Lucas Becerra, Monica Malen Denham, Alejandro B. Kolton +1

Wildfires are among the most severe disturbances affecting forest ecosystems, with over 50,000 hectares burned in Patagonia, Argentina, during 2025 alone. This study implements a R…

astro-ph.HE2026

Constraints on cyclotron features and accretion regime in the high-mass X-ray binary 4U 1700-37 from NuSTAR

Lautaro West-Ocampo, Federico A. Fogantini, Enzo A. Saavedra +6

4U 1700-37 is a wind-fed high-mass X-ray binary hosting a compact object, likely a neutron star, accreting from O6.5 Iaf+ supergiant HD 153919. Coherent pulsations not firmly detec…

physics.optics2025★ 1 cited

Length-flexible strategies for efficient SERS performance in gold-nanorod-gapped nanoantennas

Sergio F. Flores-Correa, M. L. León Hilario, I. A. Ramos-Pérez +1

Surface-enhanced Raman spectroscopy (SERS) using gold-nanorod-dimer nanoantennas has shown great potential in various applications. This reflects in their large values of the custo…

q-bio.PE2024★ 1 cited

A mean field analysis of the role of indirect transmission in emergent infection events

Tomás Ignacio González, María Fabiana Laguna, Guillermo Abramson

We developed a mathematical model to investigate the role of indirect transmission in the spread of infectious diseases, using the illustrative example of sarcoptic mange as a case…

astro-ph.HE2023★ 23 cited

Broad-emission-line dominated hydrogen-rich luminous supernovae

P. J. Pessi, J. P. Anderson, G. Folatelli +27

Hydrogen-rich Type II supernovae (SNe II) are the most frequently observed class of core-collapse SNe (CCSNe). However, most studies that analyse large samples of SNe II lack event…

astro-ph.IM2023

Classification of Chandra X-ray Sources in Cygnus OB2

Vinay L. Kashyap, Mario G. Guarcello, Nicholas J. Wright +11

We have devised a predominantly Naive Bayes method to classify the optical/IR matches to X-ray sources detected by Chandra in the Cygnus OB2 association into foreground, member, an…