42 research outputs found
KELT-25 b and KELT-26 b: A Hot Jupiter and a Substellar Companion Transiting Young A Stars Observed by TESS
We present the discoveries of KELT-25 b (TIC 65412605, TOI-626.01) and KELT-26 b (TIC 160708862, TOI-1337.01), two transiting companions orbiting relatively bright, early A stars. The transit signals were initially detected by the KELT survey and subsequently confirmed by Transiting Exoplanet Survey Satellite (TESS) photometry. KELT-25 b is on a 4.40 day orbit around the V = 9.66 star CD-24 5016 (Teff=8280-180+440 K, M ∗ = 2.18-0.11+0.12 M o˙), while KELT-26 b is on a 3.34 day orbit around the V = 9.95 star HD 134004 (Teff = 8640-240+500 K, M ∗ = 1.93-0.16+0.14 M o˙), which is likely an Am star. We have confirmed the substellar nature of both companions through detailed characterization of each system using ground-based and TESS photometry, radial velocity measurements, Doppler tomography, and high-resolution imaging. For KELT-25, we determine a companion radius of R P = 1.64-0.043+0.039 R J and a 3σ upper limit on the companion's mass of ∼64 M J. For KELT-26 b, we infer a planetary mass and radius of M P = 1.41-0.51+0.43MJ and R P = 1.94-0.058+0.060 R J. From Doppler tomographic observations, we find KELT-26 b to reside in a highly misaligned orbit. This conclusion is weakly corroborated by a subtle asymmetry in the transit light curve from the TESS data. KELT-25 b appears to be in a well-aligned, prograde orbit, and the system is likely a member of the cluster Theia 449
Least-squares autoregression with near-unit root
SIGLEAvailable from British Library Document Supply Centre- DSC:3597.442(STICERD-DP-EM--88/178) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Bayesian inference in group judgment formulation and decision making using qualitative controlled feedback
Measuring and Benchmarking Corporate Environmental Performance
Part 7: Analytics and VisualizationInternational audienceCorporate environmental performance is discussed in this paper. The aim of the paper is to propose a framework for an environmental performance benchmarking model. Corporate environmental performance is measured by key performance indicators (KPIs): Emissions of Greenhouse Gases, Water Consumption, Waste Production and Gross Value Added. Performance is benchmarked against the production frontier estimated by Data Envelopment Analysis. The environmental performance benchmarking model was created and tested on real corporate data. The model determines relative corporate environmental performance, identifies weaknesses in performance and quantifies performance gaps