Search

We present a gravitational lensing model of MACS J1149.5+2223 using ultra-deep Hubble Frontier Fields imaging data and spectroscopic redshifts from HST grism and VLT/MUSE spectroscopic data. We create total mass maps using 38 multiple images (13 sources) and 608 weak lensing galaxies, as well as 100 multiple images of 31 star-forming regions in the galaxy that hosts Supernova Refsdal. We find good agreement with a range of recent models within the HST field of view. We present a map of the ratio of projected stellar mass to total mass ($f_{\star}$), and find that the stellar mass fraction for this cluster peaks on the primary BCG. Averaging within a radius of 0.3 Mpc, we obtain a value of $\langle f_{\star} \rangle = 0.012^{+0.004}_{-0.003}$, consistent with other recent results for this ratio in cluster environments, though with a large global error (up to $\delta f_{\star} = 0.005$) primarily due to the choice of an IMF. We compare values of $f_{\star}$ and measures of star formation efficiency for this cluster to other Hubble Frontier Fields clusters studied in the literature, finding that MACS1149 has a higher stellar mass fraction than these other clusters, but a star formation efficiency typical of massive clusters., Comment: 15 pages, 6 figures, published in ApJ May 23, 2018

We present a gravitational lensing model of MACS J1149.5+2223 using ultra-deep Hubble Frontier Fields imaging data and spectroscopic redshifts from HST grism and VLT/MUSE spectroscopic data. We create total mass maps using 38 multiple images (13 sources) and 608 weak lensing galaxies, as well as 100 multiple images of 31 star-forming regions in the galaxy that hosts Supernova Refsdal. We find good agreement with a range of recent models within the HST field of view. We present a map of the ratio of projected stellar mass to total mass ($f_{\star}$), and find that the stellar mass fraction for this cluster peaks on the primary BCG. Averaging within a radius of 0.3 Mpc, we obtain a value of $\langle f_{\star} \rangle = 0.012^{+0.004}_{-0.003}$, consistent with other recent results for this ratio in cluster environments, though with a large global error (up to $\delta f_{\star} = 0.005$) primarily due to the choice of an IMF. We compare values of $f_{\star}$ and measures of star formation efficiency for this cluster to other Hubble Frontier Fields clusters studied in the literature, finding that MACS1149 has a higher stellar mass fraction than these other clusters, but a star formation efficiency typical of massive clusters., Comment: 15 pages, 6 figures, published in ApJ May 23, 2018

We present the results of ALMA spectroscopic follow-up of a z = 6.766 Ly alpha emitting galaxy behind the cluster RX J1347.1-1145. We report the detection of [C II] 158 mu m line fully consistent with the Ly alpha redshift and with the peak of the optical emission. Given the magnification of mu = 5.0 +/- 0.3, the intrinsic (corrected for lensing) luminosity of the [C II] line is L[C II]= 1.4(-0.3)(+0.3) x 10(7) L-circle dot, roughly similar to 5 times fainter than other detections of z similar to 7 galaxies. The result indicates that low L[C II] in z similar to 7 galaxies compared to the local counterparts might be caused by their low metallicities and/or feedback. The small velocity offset (Delta v = 20(-40)(+40) km s(-1)) between the Ly alpha and [C II] line is unusual, and may be indicative of ionizing photons escaping.

In the present study I developed and evaluated the effects of two interventions designed to target students’ motivation to learn in an introductory college physics course. One intervention was designed to improve students’ perceptions of utility value and the other was designed to reduce students’ perceptions of cost. Utility value and cost both are central constructs from Eccles and colleagues’ expectancy-value theory of motivation (Eccles-Parsons et al., 1983). Students (N = 148) were randomly assigned to receive the cost intervention, the utility value intervention, or one of two control conditions. Compared to a survey control condition, neither intervention impacted overall students’ motivation, measured at 3 time points over the semester, or their course outcomes. In moderation analyses, neither intervention impacted any students’ perceptions of utility value. However, both interventions impacted some students’ perceptions of cost, competence-related beliefs, and course outcomes positively while impacting these variables for other students negatively. The cost intervention benefitted consistently and in different ways students who had low baseline competence-related beliefs, low prior achievement, strong malleable beliefs about intelligence, or who were female. However, the intervention showed consistent undermining effects on motivation and/or achievement for students with strong fixed beliefs about intelligence. The utility value intervention benefitted consistently the course outcomes of students who had low baseline competence-related beliefs, low prior achievement, or who were female. The intervention showed less consistent undermining effects on motivation for students with strong fixed beliefs about intelligence, high baseline competence-related beliefs, or high prior achievement. Prior researchers have shown that utility value interventions improve course outcomes for some students who are at risk for underachievement. The present study extends prior w