Final Moments II: Observational Properties and Physical Modeling of CSM-Interacting Type II Supernovae

International audienceWe present ultraviolet/optical/near-infrared observations and modeling of Type II supernovae (SNe II) whose early-time ($\delta t < 2$ days) spectra show transient, narrow emission lines from shock ionization of confined ($r < 10^{15}$ cm) circumstellar material (CSM). The observed electron-scattering broadened line profiles (i.e., IIn-like) of HI, He I/II, C III/IV, and N III/IV/V from the CSM persist on a characteristic timescale ($t_{\rm IIn}$) that marks a transition to a lower-density CSM and the emergence of Doppler-broadened features from the fast-moving SN ejecta. Our sample, the largest to date, consists of 39 SNe with early-time IIn-like features in addition to 35 "comparison" SNe with no evidence of early-time IIn-like features, all with ultraviolet observations. The total sample consists of 50 unpublished objects with 474 previously unpublished spectra and 50 multiband light curves, collected primarily through the Young Supernova Experiment and Global Supernova Project collaborations. For all sample objects, we find a significant correlation between peak ultraviolet brightness and both $t_{\rm IIn}$ and the rise time, as well as evidence for enhanced peak luminosities in SNe II with IIn-like features. We quantify mass-loss rates and CSM density for the sample through matching of peak multiband absolute magnitudes, rise times, $t_{\rm IIn}$ and optical SN spectra with a grid of radiation hydrodynamics and non-local thermodynamic equilibrium (nLTE) radiative-transfer simulations. For our grid of models, all with the same underlying explosion, there is a trend between the duration of the electron-scattering broadened line profiles and inferred mass-loss rate: $t_{\rm IIn} \approx 3.8[\dot{M}/(0.01 \textrm{M}_{\odot} \textrm{yr}^{-1})]$ days

Strong Carbon Features and a Red Early Color in the Underluminous Type Ia SN 2022xkq

We present optical, infrared, ultraviolet, and radio observations of SN 2022xkq, an underluminous fast-declining Type Ia supernova (SN Ia) in NGC 1784 (D ≈ 31 Mpc), from <1 to 180 days after explosion. The high-cadence observations of SN 2022xkq, a photometrically transitional and spectroscopically 91bg-like SN Ia, cover the first days and weeks following explosion, which are critical to distinguishing between explosion scenarios. The early light curve of SN 2022xkq has a red early color and exhibits a flux excess that is more prominent in redder bands; this is the first time such a feature has been seen in a transitional/91bg-like SN Ia. We also present 92 optical and 19 near-infrared (NIR) spectra, beginning 0.4 days after explosion in the optical and 2.6 days after explosion in the NIR. SN 2022xkq exhibits a long-lived C i 1.0693 μm feature that persists until 5 days post-maximum. We also detect C ii λ6580 in the pre-maximum optical spectra. These lines are evidence for unburnt carbon that is difficult to reconcile with the double detonation of a sub-Chandrasekhar mass white dwarf. No existing explosion model can fully explain the photometric and spectroscopic data set of SN 2022xkq, but the considerable breadth of the observations is ideal for furthering our understanding of the processes that produce faint SNe Ia. © 2023. The Author(s). Published by the American Astronomical Society.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Virtual Reality as a Tool for Cognitive Behavioural Therapy: A Review.

This chapter describes the deployment of Virtual Reality (VR) for Cognitive Behavioral Therapy (CBT) to treat anxiety and other psychological disorders. Regarding anxiety, the most common technique is constituted of Exposure Therapy that, transposed to Virtual Reality, allows the patient to face a digital version of the feared object or situation, instead of a real or imaginal one. Virtual Reality Exposure Therapy (VRET) has proved effective in the treatment of anxiety disorders such as social phobia, Post-Traumatic Stress Disorder (PTSD), and panic disorder with agoraphobia and has shown an efficacy comparable to traditional in-vivo exposure with various specific phobias such as arachnophobia, acrophobia, and fear of flying. Thanks to its versatility, VR has also found an employment within the CBT framework with other psychological disorders, such as substance abuse, eating disorders, and in inducing non-pharmacological analgesia in patients undergoing painful medical procedures. Even when VR-based therapy does not lead to better results than traditional CBT in terms of efficacy, there are several reasons for preferring it over in-vivo exposure, including patient\u2019s comfort and safety, as well as the possibility to create complex or delicate scenarios (e.g. PTSD scenarios). In addition, VRET can be employed to facilitate the transition toward fearful objects in the real world in patients who would otherwise refuse to face real stimuli