Virtualizing university teaching through Open Educational Resources by means of ArcGIS Online (REARGOL)

La pandemia provocada por el virus SARS-CoV-2 (COVID19) ha demostrado la necesidad de acelerar la digitalización de la docencia universitaria. Las herramientas digitales para la transferencia ciencia-educación, que ya eran esenciales para asegurar la calidad de la docencia presencial, se han transformado en imprescindibles cuando las circunstancias han impuesto la docencia virtual. El proyecto REARGOL ha desarrollado y ensayado en ArcGIS online instrumentos para la virtualización de contenidos en asignaturas de grado y máster, sobre geomorfología, gestión de desastres, patrimonio natural y patrimonio cultural. Ha sido un ensayo piloto, replicable en todas las titulaciones y temáticas susceptibles de generar información geoespacial (prácticamente todos los títulos y áreas de conocimiento). El único límite es la imaginación. El proyecto ha priorizado la participación de estudiantes de grado, máster y doctorado, que han desarrollado 4 tipos de aplicaciones: Mapas Web y Web AppBuilder (visores cartográficos interactivos), encuestas Survey 123 (formularios recogida de datos), Cuadros de Mandos (plataformas online que permiten combinar varias aplicaciones) y Story Maps (presentaciones para mostrar conjuntamente información y aplicaciones ArcGIS online). Las aplicaciones que se ensayaron con éxito durante el curso 2020-2021, en asignaturas de grado y máster, así como en TFMs y TFGs, continúan utilizándose en el curso 2021-2022.The SARS-CoV-2 (COVID19) pandemic has shown the urgent need to improve university teaching. Digital resources for Science-Education transfer, which already were crucial for ensuring the quality of face-to-face teaching, turned to be indispensable when the health crisis forced virtual teaching. The REARGOL project has developed and tested ArcGIS Online tools for the virtualization of Bachelor’s and Master’s courses focused on geomorphology, natural disaster management, and natural and cultural heritage. This has been a preliminary test that could be applied to all undergraduate and postgraduate degrees, that can produce geospatial information in all knowledge areas. Imagination is the only constraint. The project has prioritized the participation of undergraduate and postgraduate students (Master and PhD). The project has priorized the participation of undergraduate and postgraduate (Master’s and PhD) students. They have developed four types of applications: Web Maps and Web AppBuilder (interactive cartographical viewers), Survey 123 (data collection forms), Dashboards (online platforms allowing to combine several applications) and Story Maps (presentations for displaying information and ArcGIS online applications). The tools successfully tested during the 2020-2021 academic year are still being used in the current one, in Bachelor’s and Master’s degrees, as well as in Bachelor’s and Master’s final dissertations.Depto. de GeografíaFac. de Geografía e HistoriaFALSEsubmitte

Keck Infrared Transient Survey Data Release 1

We present the first data release from the Keck Infrared Transient Survey (KITS), a NASA Key Strategic Mission Support program to obtain near-infrared (NIR) spectra of astrophysical transients of all types. This data release consists of 105 NIR spectra of 50 transients. As we are entering a new era of infrared astronomy with the James Webb Space Telescope (JWST) and the upcoming Nancy Grace Roman Space Telescope (Roman), KITS provides a large, publicly available sample of IR spectroscopy for a wide range of transients. These data will be essential to search JWST images for stellar explosions of the first stars and to plan an effective Roman SN Ia cosmology survey, both key science objectives for mission success. The first data release represents the first semester, which is one third of the full survey. We systematically observed three samples: a flux-limited sample that includes all transients brighter than 17~mag in a red optical band (usually ZTF r or ATLAS o bands); a volume-limited sample including all transients within redshift z < 0.01; and an SN Ia sample targeting objects at phases and light-curve parameters that had scant existing NIR data in the literature. Please see the accompanying paper where we describe our observing procedures and data reduction using an automated pipeline pypeit with minimal human interaction to ensure reproducibility. In this dataset, we provide telluric-corrected spectra of the transient in CSV format. We also provide one-dimensional extracted spectra of transients and telluric standard stars in FITS format from pypeit. Users can use these intermediate data products to redo telluric correction if desired

Ground-based and JWST Observations of SN 2022pul: II. Evidence from Nebular Spectroscopy for a Violent Merger in a Peculiar Type-Ia Supernova

International audienceWe present an analysis of ground-based and JWST observations of SN 2022pul, a peculiar "03fg-like" (or "super-Chandrasekhar") Type Ia supernova (SN Ia), in the nebular phase at 338 d post explosion. Our combined spectrum continuously covers 0.4-14 $\mu$m and includes the first mid-infrared spectrum of an 03fg-like SN Ia. Compared to normal SN Ia 2021aefx, SN 2022pul exhibits a lower mean ionization state, asymmetric emission-line profiles, stronger emission from the intermediate-mass elements (IMEs) argon and calcium, weaker emission from iron-group elements (IGEs), and the first unambiguous detection of neon in a SN Ia. Strong, broad, centrally peaked [Ne II] at 12.81 $\mu$m was previously predicted as a hallmark of "violent merger'' SN Ia models, where dynamical interaction between two sub-$M_{\text{Ch}}$ white dwarfs (WDs) causes disruption of the lower mass WD and detonation of the other. The violent merger scenario was already a leading hypothesis for 03fg-like SNe Ia; in SN 2022pul it can explain the large-scale ejecta asymmetries seen between the IMEs and IGEs and the central location of narrow oxygen and broad neon. We modify extant models to add clumping of the central ejecta to better reproduce the optical iron emission, and add mass in the innermost region ($< 2000$ km s$^{-1}$) to account for the observed narrow [O I] $\lambda\lambda6300$, 6364 emission. A violent WD-WD merger explains many of the observations of SN 2022pul, and our results favor this model interpretation for the subclass of 03fg-like SN Ia

Ground-based and JWST Observations of SN 2022pul: II. Evidence from Nebular Spectroscopy for a Violent Merger in a Peculiar Type-Ia Supernova

International audienceWe present an analysis of ground-based and JWST observations of SN 2022pul, a peculiar "03fg-like" (or "super-Chandrasekhar") Type Ia supernova (SN Ia), in the nebular phase at 338 d post explosion. Our combined spectrum continuously covers 0.4-14 $\mu$m and includes the first mid-infrared spectrum of an 03fg-like SN Ia. Compared to normal SN Ia 2021aefx, SN 2022pul exhibits a lower mean ionization state, asymmetric emission-line profiles, stronger emission from the intermediate-mass elements (IMEs) argon and calcium, weaker emission from iron-group elements (IGEs), and the first unambiguous detection of neon in a SN Ia. Strong, broad, centrally peaked [Ne II] at 12.81 $\mu$m was previously predicted as a hallmark of "violent merger'' SN Ia models, where dynamical interaction between two sub-$M_{\text{Ch}}$ white dwarfs (WDs) causes disruption of the lower mass WD and detonation of the other. The violent merger scenario was already a leading hypothesis for 03fg-like SNe Ia; in SN 2022pul it can explain the large-scale ejecta asymmetries seen between the IMEs and IGEs and the central location of narrow oxygen and broad neon. We modify extant models to add clumping of the central ejecta to better reproduce the optical iron emission, and add mass in the innermost region ($< 2000$ km s$^{-1}$) to account for the observed narrow [O I] $\lambda\lambda6300$, 6364 emission. A violent WD-WD merger explains many of the observations of SN 2022pul, and our results favor this model interpretation for the subclass of 03fg-like SN Ia