Evaluation of an automated mass comparator performance for mass calibration of sub-milligram weights

Measurement ◽  
2021 ◽  
Vol 172 ◽  
pp. 108841
Author(s):  
Y. Ota ◽  
M. Ueki ◽  
N. Kuramoto
Keyword(s):  
Mass Calibration

scholarly journals Monte Carlo Top Quark Mass Calibration

2018 ◽  
Author(s):  
Moritz Preisser ◽  
Bahman Dehnadi ◽  
Andre Hoang ◽  
Vicent Mateu ◽  
Iain W. Stewart
Keyword(s):  
Monte Carlo ◽  
Top Quark ◽  
Quark Mass ◽  
Top Quark Mass ◽  
Mass Calibration

Testing Mass Calibration with the Coulter Counter

2011 ◽  
pp. 394-399
Author(s):  
M.M. Figueiredo ◽  
M.G. Rasteiro ◽  
M.F. Ferreira
Keyword(s):  
Coulter Counter ◽  
Mass Calibration

Novel automated workflow for spectral alignment and mass calibration in MS imaging using a sputtered Ag nanolayer

2018 ◽  
Vol 1022 ◽  
pp. 61-69 ◽  
Author(s):  
Pere Ràfols ◽  
Esteban del Castillo ◽  
Oscar Yanes ◽  
Jesús Brezmes ◽  
Xavier Correig
Keyword(s):  
Ms Imaging ◽  
Spectral Alignment ◽  
Mass Calibration

scholarly journals CoMaLit – VI. Intrinsic scatter in stacked relations. The weak lensing AMICO galaxy clusters in KiDS-DR3

2020 ◽  
Vol 497 (1) ◽  
pp. 894-905
Author(s):  
Mauro Sereno ◽  
Stefano Ettori ◽  
Giorgio F Lesci ◽  
Federico Marulli ◽  
Matteo Maturi ◽  
...  
Keyword(s):  
Galaxy Clusters ◽  
Weak Lensing ◽  
Inference Method ◽  
The Third ◽  
Data Release ◽  
The Galaxy ◽  
Bayesian Inference Method ◽  
Mass Calibration ◽  
The Individual ◽  
Intrinsic Scatter

ABSTRACT Unbiased and precise mass calibration of galaxy clusters is crucial to fully exploit galaxy clusters as cosmological probes. Stacking of weak lensing (WL) signal allows us to measure observable–mass relations down to less massive haloes without extrapolation. We propose a Bayesian inference method to constrain the intrinsic scatter of the mass proxy in stacked analyses. The scatter of the stacked data is rescaled with respect to the individual scatter based on the number of binned clusters. We apply this method to the galaxy clusters detected with the AMICO (Adaptive Matched Identifier of Clustered Objects) algorithm in the third data release of the Kilo-Degree Survey. The results confirm the optical richness as a low-scatter mass proxy. Based on the optical richness and the calibrated WL mass–richness relation, mass of individual objects down to $\sim\! 10^{13}\, \mathrm{M}_\odot$ can be estimated with a precision of ∼20 per cent.

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