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Biased human decisions have consequential impacts across various domains, yielding unfair treatment of individuals and resulting in suboptimal outcomes for organizations and society. In recognition of this fact, organizations regularly…

Machine Learning · Computer Science 2024-12-11 Wanxue Dong , Maria De-Arteaga , Maytal Saar-Tsechansky

We obtain constraints on the slope of a universal stellar initial mass function (IMF) over a range of cosmic star-formation histories (SFH) using z=0.1 luminosity densities in the range from 0.2 to 2.2 microns. The age-IMF degeneracy of…

Astrophysics · Physics 2011-05-05 I. K. Baldry , K. Glazebrook

The total mass of a distant star cluster is often derived from the virial theorem, using line-of-sight velocity dispersion measurements and half-light radii, under the implicit assumption that all stars are single (although it is known that…

Astrophysics · Physics 2009-11-13 M. B. N. Kouwenhoven , R. de Grijs

Weak-lensing measurements of the averaged shear profiles of galaxy clusters binned by some proxy for cluster mass are commonly converted to cluster mass estimates under the assumption that these cluster stacks have spherical symmetry. In…

Binary interaction can cause stellar envelopes to be stripped, which significantly reduces the radius of the star. The orbit of a binary composed of a stripped star and a compact object can therefore be so tight that the gravitational…

Solar and Stellar Astrophysics · Physics 2020-12-02 Y. Götberg , V. Korol , A. Lamberts , T. Kupfer , K. Breivik , B. Ludwig , M. R. Drout

Orbital motions from binary stars can broaden the observed line-of-sight velocity distribution of a stellar system, artificially inflating the measured line-of-sight velocity dispersion, which can in turn lead to erroneous conclusions about…

Solar and Stellar Astrophysics · Physics 2015-06-18 Michiel Cottaar , Vincent Hénault-Brunet

Most applications of Bayesian Inference for parameter estimation and model selection in astrophysics involve the use of Monte Carlo techniques such as Markov Chain Monte Carlo (MCMC) and nested sampling. However, these techniques are time…

Instrumentation and Methods for Astrophysics · Physics 2022-01-26 Geetakrishnasai Gunapati , Anirudh Jain , P. K. Srijith , Shantanu Desai

This paper presents a quantitative user study to evaluate how well users can visually perceive the underlying data distribution from a histogram representation. We used different sample and bin sizes and four different distributions…

Human-Computer Interaction · Computer Science 2021-09-15 Raphael Sahann , Torsten Möller , Johanna Schmidt

We consider a weighted biasing scheme for galaxy clustering. This differs from previous treatments in the fact that the biased density field coincides with the background mass--density whenever the latter exceeds a given threshold value.…

Astrophysics · Physics 2015-06-24 P. Catelan , P. Coles , S. Matarrese , L. Moscardini

The dependence of the stellar initial mass function (IMF) on star-formation environment, particularly at low metallicities and high redshifts, remains poorly constrained. Ultra-faint dwarf galaxies (UFDs) are local fossils of high-redshift…

We estimate the bias on weak lensing mass measurements of shear-selected galaxy cluster samples. The mass bias is expected to be significant because constructions of cluster samples from peaks in weak lensing mass maps and measurements of…

Astrophysics of Galaxies · Physics 2020-03-25 Kai-Feng Chen , Masamune Oguri , Yen-Ting Lin , Satoshi Miyazaki

Observed variations in the IMF are reviewed with an emphasis on environmental density. The remote field IMF studied in the LMC by several authors is clearly steeper than most cluster IMFs, which have slopes close to the Salpeter value.…

Astrophysics · Physics 2015-11-11 Bruce G. Elmegreen

While the expected calibration error (ECE), which employs binning, is widely adopted to evaluate the calibration performance of machine learning models, theoretical understanding of its estimation bias is limited. In this paper, we present…

Machine Learning · Computer Science 2025-05-27 Futoshi Futami , Masahiro Fujisawa

We present a combined analysis of the low-mass Initial Mass Function (IMF) for seven star forming regions. We first demonstrate that the ratios of stars to brown dwarfs are consistent with a single underlying IMF. Assuming the underlying…

Astrophysics · Physics 2009-11-13 M. Andersen , M. R. Meyer , J. Greissl , A. Aversa

Predictive mean matching (PMM) is a popular imputation strategy that imputes missing values by borrowing observed values from other cases with similar expectations. We show that, unlike other imputation strategies, PMM is not guaranteed to…

Methodology · Statistics 2025-07-01 Paul T. von Hippel

High-precision kinematic studies of globular clusters require an accurate knowledge of all possible sources of contamination. Amongst other sources, binary stars can introduce systematic biases in the kinematics. Using a set of Monte Carlo…

Astrophysics of Galaxies · Physics 2016-04-06 P. Bianchini , M. A. Norris , G. van de Ven , E. Schinnerer , A. Bellini , R. P. van der Marel , L. L. Watkins , J. Anderson

Comparing the differences in outcomes (that is, in "dependent variables") between two subpopulations is often most informative when comparing outcomes only for individuals from the subpopulations who are similar according to "independent…

Methodology · Statistics 2021-12-20 Mark Tygert

The probabilistic nature of the IMF in stellar systems implies that clusters of the same mass and age do not present the same unique values of their observed parameters. Instead they follow a distribution. We address the study of such…

Astrophysics · Physics 2009-11-07 M. Cervino , V. Luridiana

The neutron star equation of state is now being constrained from a diverse set of multi-messenger data, including gravitational waves from binary neutron star mergers, X-ray observations of the neutron star radius, and many types of…

High Energy Astrophysical Phenomena · Physics 2021-02-24 Carolyn Raithel , Feryal Ozel , Dimitrios Psaltis

We introduce a new method to measure the dispersion of mmax values of star clusters and show that the observed sample of mmax is inconsistent with random sampling from an universal stellar initial mass function (IMF) at a 99.9% confidence…

Astrophysics of Galaxies · Physics 2015-06-16 Carsten Weidner , Pavel Kroupa , Jan Pflamm-Altenburg
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