Multiwavelength cluster mass estimates and machine learning

ABSTRACT One emerging application of machine learning methods is the inference of galaxy cluster masses. In this note, machine learning is used to directly combine five simulated multiwavelength measurements in order to find cluster masses. This is in contrast to finding mass estimates for each observable, normally by using a scaling relation, and then combining these scaling law based mass estimates using a likelihood. We also illustrate how the contributions of each observable to the accuracy of the resulting mass measurement can be compared via model-agnostic Importance Permutation values. Thirdly, as machine learning relies upon the accuracy of the training set in capturing observables, their correlations, and the observational selection function, and as the machine learning training set originates from simulations, two tests of whether a simulation’s correlations are consistent with observations are suggested and explored as well.

An Improved Method for Checking HTS/uHTS Liquid-Handling Systems

An efficient method is presented to determine precision and accuracy of multichannel liquid-handling systems under conditions near to application. Themethod consists of gravimetrical determination of accuracy and optical determination of precision based on the dilution of absorbing and fluorescent dye solutions in microplates. Mean delivery volume per well can be determined with precision better than a 0.04% coefficient of variation (CV). Optical signal precision, CV( S), is improved by multiwavelength measurements. Precision of absorbance measurement yields a better resolution than precision of fluorescence measurement (0.3% and 1.5%, respectively), indicating that absorbance measurements should be preferred. From CV( S), an upper bound of the precision of the volumes delivered is derived. Method performance is demonstrated with the dispenser CyBi™-Drop and the pipettor CyBi™-Well using different ejection principles; with commonly used fluids; with 96-, 384-, and 1536-well microplates; and with photometric and fluorometric indicators. Precision of the volumes delivered, as obtained with optimized methods, all plate formats, and both devices, is better than 2% CV with 2 µ L set volume and about 1% CV with higher set volumes.