RcmdrPlugin.temis, a Graphical Integrated Text Mining Solution in R

Bouchet-Valat, Milan; Bastin, Gilles

doi:10.32614/rj-2013-018

Cited by 32 publications

(18 citation statements)

References 7 publications

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“…The factor g is the second-order growth factor which reduces to 2/7 in an Einstein-de Sitter universe or as long as the growth rate of structures is given by f = [Ωm(z)] 1/2 . This function of time, can be identified with the function B in Catelan et al (1995), or it is related to the function κ (κ + g = 1/2) introduced by Bouchet et al (1992), and is aslo related to the µ function (µ + 2g = 1) defined in Kamionkowski and Buchalter (1999).…”

Section: Summarising Our Various Bias Estimations Inmentioning

confidence: 99%

Non-local bias contribution to third-order galaxy correlations

Bel

Hoffmann

Gaztañaga

2015

Mon. Not. R. Astron. Soc.

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We study halo clustering bias with second-and third-order statistics of halo and matter density fields in the MICE Grand Challenge simulation. We verify that two-point correlations deliver reliable estimates of the linear bias parameters at large scales, while estimations from the variance can be significantly affected by non-linear and possibly non-local contributions to the bias function. Combining three-point autoand cross-correlations we find, for the first time in configuration space, evidence for the presence of such non-local contributions. These contributions are consistent with predicted second-order non-local effects on the bias functions originating from the dark matter tidal field. Samples of massive haloes show indications of bias (local or non-local) beyond second order. Ignoring non-local bias causes 20 − 30% and 5 − 10% overestimation of the linear bias from three-point auto-and cross-correlations respectively. We study two third-order bias estimators which are not affected by second-order non-local contributions. One is a combination of three-point auto-and cross-correlation. The other is a combination of third-order one-and two-point cumulants. Both methods deliver accurate bias estimations of the linear bias. Furthermore their estimations of second-order bias agree mutually. Ignoring non-local bias causes higher values of the second-order bias from three-point correlations. Our results demonstrate that third-order statistics can be employed for breaking the growth-bias degeneracy.

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Section: Summarising Our Various Bias Estimations Inmentioning

confidence: 99%

Non-local bias contribution to third-order galaxy correlations

Bel

Hoffmann

Gaztañaga

2015

Mon. Not. R. Astron. Soc.

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“…Bernardeau et al 2002;Bernardeau 2013). The class of analytical models of the latter is dubbed the Lagrangian perturbation theory (LPT) (Buchert & Goetz 1987;Buchert 1989;Buchert 1992;Bouchet et al 1992;Bildhauer et al 1992, Bouchet et al 1995Catelan 1995;Ehlers & Buchert 1997). When using this technique, the only dynamical variable is the displacement, which represents the gravitationally induced deviation of the particle trajectory field from the homogeneous background evolution of the Universe.…”

Section: Introductionmentioning

confidence: 99%

How smooth are particle trajectories in a ΛCDM Universe?

Rampf

Villone

Frisch

2015

Mon. Not. R. Astron. Soc.

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It is shown here that in a flat, cold dark matter (CDM) dominated Universe with positive cosmological constant (Λ), modelled in terms of a Newtonian and collisionless fluid, particle trajectories are analytical in time (representable by a convergent Taylor series) until at least a finite time after decoupling. The time variable used for this statement is the cosmic scale factor, i.e., the "a-time", and not the cosmic time. For this, a Lagrangian-coordinates formulation of the Euler-Poisson equations is employed, originally used by Cauchy for 3-D incompressible flow. Temporal analyticity for ΛCDM is found to be a consequence of novel explicit all-order recursion relations for the a-time Taylor coefficients of the Lagrangian displacement field, from which we derive the convergence of the a-time Taylor series. A lower bound for the a-time where analyticity is guaranteed and shell-crossing is ruled out is obtained, whose value depends only on Λ and on the initial spatial smoothness of the density field. The largest time interval is achieved when Λ vanishes, i.e., for an Einstein-de Sitter universe. Analyticity holds also if, instead of the a-time, one uses the linear structure growth D-time, but no simple recursion relations are then obtained. The analyticity result also holds when a curvature term is included in the Friedmann equation for the background, but inclusion of a radiation term arising from the primordial era spoils analyticity.

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“…Participants were asked to rate sets of fictive anonymous application forms and write comments for each form, in which they had to explain how they managed to distinguish between the different application forms. We used lexical analysis to compute and compare the relative frequencies of words associated with each type of application forms (see Bouchet‐Valat & Bastin, ; Martin‐Lacroux, for a comprehensive description of the procedure). This allowed us to confirm that errors and professional experience were detected and taken into account by the participants, whose verbatim associated with different application forms were clearly differentiated.…”

Section: Methodsmentioning

confidence: 99%

Anonymous résumés: An effective preselection method?

Lacroux

Martin‐Lacroux

2019

Int J Selection Assessment

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During the preselection process, recruiters use cues from résumés to form attributions about applicants' suitability. They rely on visible characteristics (e.g., origin) that activate stereotypes that can lead to discriminatory decisions. The anonymization of application forms is a possible intervention to avert discrimination. The few studies on this topic led to inconsistent conclusions. The present study aims to extend previous findings by comparing decisions on anonymous and standard résumés that differ in quality. Recruiters (N = 1,031) assessed a series of application forms whose profile (Caucasian, Moroccan, overweight, normal stature) and résumé content (experience, spelling errors) differed. Results show that anonymous application forms are rated more severely than standard forms, and are effective in neutralizing discriminatory behaviors toward overweight applicants. K E Y W O R D Sdiversity, inclusion, placement, recruitment, selection

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RcmdrPlugin.temis, a Graphical Integrated Text Mining Solution in R

Cited by 32 publications

References 7 publications

Non-local bias contribution to third-order galaxy correlations

Non-local bias contribution to third-order galaxy correlations

How smooth are particle trajectories in a ΛCDM Universe?

Anonymous résumés: An effective preselection method?

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