Cat. A1

MegaMorph: classifying galaxy morphology using multi-wavelength Sérsic profile fits

**Aims.** This work investigates the potential of using the wavelength-dependence of galaxy structural parameters (Sérsic index, n, and effective radius, Re) to separate galaxies into distinct types. **Methods.** A sample of nearby galaxies with …

MegaMorph – multiwavelength measurement of galaxy structure: physically meaningful bulge–disc decomposition of galaxies near and far

Bulge–disc decomposition is a valuable tool for understanding galaxies. However, achieving robust measurements of component properties is difficult, even with high-quality imaging, and it becomes even more so with the imaging typical of large …

Galaxy And Mass Assembly: the wavelength-dependent sizes and profiles of galaxies revealed by MegaMorph

We investigate the relationship between colour and structure within galaxies using a large, volume-limited sample of bright, low-redshift galaxies with optical–near-infrared imaging from the Galaxy And Mass Assembly survey. We fit single-component, …

MegaMorph – multiwavelength measurement of galaxy structure: Sérsic profile fits to galaxies near and far

We demonstrate a new multiwavelength technique for two-dimensional parametric modelling of galaxy surface-brightness profiles, which we have incorporated into the widely used software GALFIT. Our new method, named GALFITM, extends GALFIT3's current …

MegaMorph – multiwavelength measurement of galaxy structure: complete Sérsic profile information from modern surveys

In this paper, we demonstrate a new method for fitting galaxy profiles which makes use of the full multiwavelength data provided by modern large optical–near-infrared imaging surveys. We present a new version of GALAPAGOS, which utilizes a recently …

Revealing components of the galaxy population through non-parametric techniques

The distributions of galaxy properties vary with environment, and are often multimodal, suggesting that the galaxy population may be a combination of multiple components. The behaviour of these components versus environment holds details about the …

Differentiating Major Depressive Disorder in Youths with Attention Deficit Hyperactivity Disorder

**Background:** Youths with attention deficit hyperactivity disorders (ADHD) frequently have comorbid major depressive disorders (MDD) sharing overlapping symptoms. Our objective was to examine which depressive symptoms best discriminate MDD among …

Recursive Bayesian Decoding of Motor Cortical Signals by Particle Filtering

The population vector (PV) algorithm and optimal linear estimation (OLE) have been used to reconstruct movement by combining signals from multiple neurons in the motor cortex. While these linear methods are effective, recursive Bayesian decoding …

Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Colombia

A cohort of intensive care unit (ICU) patients in 20 Colombian ICUs is used to describe the application of three imputation techniques: single, hot deck and multiple imputation. These strategies were used to impute the missing data in the variables …