Probing the distance and morphology of the Large Magellanic Cloud with RR Lyrae stars

We present a Bayesian analysis of the distances to 15,040 Large Magellanic Cloud (LMC) RR Lyrae stars using $V$- and $I$-band light curves from the Optical Gravitational Lensing Experiment, in combination with new $z$-band observations from the Dark Energy Camera. Our median individual RR Lyrae distance statistical error is 1.89 kpc (fractional distance error of 3.76 per cent). We present three-dimensional contour plots of the number density of LMC RR Lyrae stars and measure a distance to the core LMC RR Lyrae centre of ${50.2482\pm0.0546 {\rm(statistical)} \pm0.4628 {\rm(systematic)} {\rm kpc}}$, equivalently ${\mu_{\rm LMC}=18.5056\pm0.0024 {\rm(statistical)} \pm0.02 {\rm(systematic)}}$. This finding is statistically consistent with and four times more precise than the canonical value determined by a recent meta-analysis of 233 separate LMC distance determinations. We also measure a maximum tilt angle of $11.84^{\circ}\pm0.80^{\circ}$ at a position angle of $62^\circ$, and report highly precise constraints on the $V$, $I$, and $z$ RR Lyrae period--magnitude relations. The full dataset of observed mean-flux magnitudes, derived colour excess ${E(V-I)}$ values, and fitted distances for the 15,040 RR Lyrae stars produced through this work is made available through the publication's associated online data.Comment: 7 pages, 8 figure

The Effects of Inquiry Training Model Using Mind Mapping and Motivation on Students' Science Process Skills Physics.

This study aims to analyze, student's science process skills who are taught by inquiry training learning model using mind mapping is better than the students that taught with conventional learning, science process skills in students who have motivated above average are better compared with students who have the motivation below average, and the interaction between the inquiry training learning model using mind mapping and motivation in improving students' science process skills. This research was conducted by quasiexperimental. The sample selection was done by cluster random sampling that were class X2 and X1. The research instrument was using science process skills test in the form of descriptions and tests of motivation in the form of a questionnaire. The data were analyzed by ANOVA two lanes. The results showed that: The ability of students' physics science process skills using inquiry training learning using mind mapping is better than the ability of students' science process skills using conventional learning model. The ability of students' physics science process skills in motivational groups are above average better than the ability of students' physics science process skills in conventional groups which are below average, and In this research, motivation above average dominant improves science process skills in Inquiry Training model using mind mapping rather than in conventional learning mode

Institutional and policy issues in the management of fisheries and coastal resources in Cambodia

Fishery management, Governments, Fishery policies, Resource conservation, Resource management, Cambodia,