The Right to Be Cold: One Woman’s Fight to Protect the Arctic and Save the Planet from Climate Change by Sheila Watt-Cloutier

Review of Sheila Watt-Cloutier\u27s The Right to Be Cold: One Woman\u27s Fight to Protect the Arctic and Save the Planet from Climate Change

Explosions of LBV and Post-LBV Stars

In this contributed talk I presented the observational evidence for supernova (SN) explosions of stars in the luminous blue variable (LBV) and the immediate post-LBV evolutionary phases. We now have compelling indications that two recent SNe of Type II-“narrow” (IIn) were the explosions of LBVs, including the direct identification of the progenitor LBV for one of these examples. A recent SN of Type Ic exploded as a helium star, two years after the powerful LBV outburst of its progenitor. These cases were also discussed by other presenters at this Workshop in some detail. I instead focus more on another example, SN2001em, which was first identified as a Type Ib/c, but later evolved to Type IIn. I argue that the progenitor of this SN exploded as a Wolf- Rayet (WR) star, following an eruptive LBV phase. Furthermore, I suggest that two “SN impostors,” i.e., extragalactic massive stars observed to undergo pre-SN LBV eruptions (similar to η Carinae), may well have evolved to the WR phase in real time

Using Λb→Λμ+μ−\Lambda_b\to \Lambda\mu^+\mu^- data within a Bayesian analysis of ∣ΔB∣=∣ΔS∣=1|\Delta B| = |\Delta S| = 1 decays

We study the impact of including the baryonic decay $\Lambda_b\to \Lambda(\to p \pi^-)\mu^+\mu^-$ in a Bayesian analysis of $|\Delta B | = |\Delta S| = 1$ transitions. We perform fits of the Wilson coefficients $C_{9}$, $C_{9'}$, $C_{10}$ and $C_{10'}$, in addition to the relevant nuisance parameters. Our analysis combines data for the differential branching fraction and three angular observables of $\Lambda_b\to \Lambda(\to p \pi^-)\mu^+\mu^-$ with data for the branching ratios of $B_s \to \mu^+\mu^-$ and inclusive $b \to s\ell^+\ell^-$ decays. Newly available precise lattice QCD results for the full set of $\Lambda_b \to \Lambda$ form factors are used to evaluate the observables of the baryonic decay. Our fits prefer shifts to $C_{9}$ that are opposite in sign compared to those found in global fits of only mesonic decays, and the posterior odds show no evidence of physics beyond the Standard Model. We investigate a possible hadronic origin of the observed tensions between theory and experiment.Comment: 9 pages, 2 figures; v2 as published: added some clarifications, changed setup for model comparisons, expanded conclusion

Zero-Recoil Sum Rules for Λb→Λc\Lambda_b \to \Lambda_c Form Factors

We set up a zero recoil sum rule to constrain the form factors of the $\Lambda_b \to \Lambda_c$ transition. Our results are compared with the recent lattice calculation for these transitions. We find the same situation as in the case for $B \to D^*$: The lattice results practically saturate the sum rules, leaving basically no room for excited states.Comment: 8 pages, 5 figure

Metropolis-Hastings within Partially Collapsed Gibbs Samplers

The Partially Collapsed Gibbs (PCG) sampler offers a new strategy for improving the convergence of a Gibbs sampler. PCG achieves faster convergence by reducing the conditioning in some of the draws of its parent Gibbs sampler. Although this can significantly improve convergence, care must be taken to ensure that the stationary distribution is preserved. The conditional distributions sampled in a PCG sampler may be incompatible and permuting their order may upset the stationary distribution of the chain. Extra care must be taken when Metropolis-Hastings (MH) updates are used in some or all of the updates. Reducing the conditioning in an MH within Gibbs sampler can change the stationary distribution, even when the PCG sampler would work perfectly if MH were not used. In fact, a number of samplers of this sort that have been advocated in the literature do not actually have the target stationary distributions. In this article, we illustrate the challenges that may arise when using MH within a PCG sampler and develop a general strategy for using such updates while maintaining the desired stationary distribution. Theoretical arguments provide guidance when choosing between different MH within PCG sampling schemes. Finally we illustrate the MH within PCG sampler and its computational advantage using several examples from our applied work