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We have determined the composite luminosity function (LF) for galaxies in 60 clusters from the 2dF Galaxy Redshift Survey. The LF spans the range $-22.5<M_{b_{\rm J}}<-15$, and is well-fitted by a Schechter function with ${M_{b_{\rm…

We conduct a first comprehensive study of the Luminosity Function (LF) using a non-parametric approach. We use Gaussian Process to fit available luminosity data between redshifts $z \sim 2-8$. Our free-form LF in the non-parametric approach…

Astrophysics of Galaxies · Physics 2024-12-24 Debabrata Adak , Dhiraj Kumar Hazra , Sourav Mitra , Aditi Krishak

The determination of the galaxy luminosity function is an active and fundamental field in observational cosmology. In this paper we propose a cost effective way of measuring galaxy luminosity functions at faint magnitudes. Our technique…

Astrophysics · Physics 2009-10-28 M. U. SubbaRao , A. J. Connolly , A. S. Szalay , D. C. Koo

We study H-alpha, far- and near-ultraviolet luminosity functions (LF) of the sample of 795 luminous compact star-forming galaxies with z<0.65. The parameters of optimal functions for LFs are obtained using the maximum likelihood method and…

Astrophysics of Galaxies · Physics 2016-03-23 S. L. Parnovsky , I. Y. Izotova

We present a new technique to estimate the level of contamination between photometric redshift bins. If the true angular cross-correlation between redshift bins can be safely assumed to be zero, any measured cross-correlation is a result of…

Cosmology and Nongalactic Astrophysics · Physics 2010-10-11 Jonathan Benjamin , Ludovic Van Waerbeke , Brice Ménard , Martin Kilbinger

In this work, we restudy the dependence of luminosity function and event rates for different gamma-ray burst samples on the criteria of sample selection and threshold effect. To compare with many previous studies, we have chosen two samples…

High Energy Astrophysical Phenomena · Physics 2022-04-20 X. F. Dong , X. J. Li , Z. B. Zhang , X. L. Zhang

We have re-examined the nature of the cluster galaxy luminosity function using the data from the Edinburgh-Durham Southern Galaxy Catalogue and the Edinburgh-Milano Redshift Survey. We derive a best fit luminosity function over the range…

Astrophysics · Physics 2015-06-24 S. L. Lumsden , C. A. Collins , R. C. Nichol , V. R. Eke , L. Guzzo

Large multi-modal models (LMMs) hold the potential to usher in a new era of automated visual assistance for people who are blind or low vision (BLV). Yet, these models have not been systematically evaluated on data captured by BLV users. We…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Daniela Massiceti , Camilla Longden , Agnieszka Słowik , Samuel Wills , Martin Grayson , Cecily Morrison

We use the very deep and homogeneous I-band selected dataset of the FORS Deep Field (FDF) to trace the evolution of the luminosity function over the redshift range 0.5 < z < 5.0. We show that the FDF I-band selection down to I(AB)=26.8…

We present a study of the galaxy Lyman-alpha luminosity function (LF) using a sample of 17 lensing clusters observed by the MUSE/VLT. Magnification from strong gravitational lensing by clusters of galaxies and MUSE apabilities allow us to…

Reconstructing fields from sparsely observed data is an ill-posed problem that arises in many engineering and science applications. Here, we investigate the use of physics-informed neural networks (PINNs) to reconstruct complete…

Fluid Dynamics · Physics 2024-10-11 Nagahiro Ohashi , Leslie K. Hwang , Beomjin Kwon

In this work a comparison between different galaxy luminosity function estimators by means of Monte-Carlo simulations is presented. The simulations show that the C- method of Lynden-Bell (1971) and the STY method derived by Sandage, Tammann…

Astrophysics · Physics 2009-10-30 C. N. A. Willmer

We present the $R$-band luminosity function for a sample of 18678 galaxies, with average redshift $z = 0.1$, from the Las Campanas Redshift Survey. The luminosity function may be fit by a Schechter function with $M^* = -20.29 \pm 0.02 + 5…

We propose two new evaluation metrics to assess realness of generated images based on normalizing flows: a simpler and efficient flow-based likelihood distance (FLD) and a more exact dual-flow based likelihood distance (D-FLD). Because…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Pranav Jeevan , Neeraj Nixon , Amit Sethi

Binary similarity analysis is critical to many code-reuse-related issues and "1-to-1" mechanism is widely applied, where one function in a binary file is matched against one function in a source file or binary file. However, we discover…

Software Engineering · Computer Science 2022-05-06 Ang Jia , Ming Fan , Wuxia Jin , Xi Xu , Zhaohui Zhou , Qiyi Tang , Sen Nie , Shi Wu , Ting Liu

We present a study on the variations of the luminosity function of galaxies around clusters in a numerical simulation with semi-analytic galaxies, attempting to detect these variations in the 2dF Galaxy Redshift Survey. We subdivide the…

Astrophysics · Physics 2009-11-13 R. E. Gonzalez , N. D. Padilla , G. Galaz , L. Infante

We perform an analysis of the luminosity functions (LFs) of two types of ringed galaxies -- polar-ring galaxies and collisional ring galaxies -- using data from the Sloan Digital Sky Survey (SDSS). Both classes of galaxies were formed as a…

Astrophysics of Galaxies · Physics 2022-09-21 Daniil V. Smirnov , Vladimir P. Reshetnikov

Binned maximum likelihood fits are an attractive option when analysing large datasets, but require care when computing likelihoods of continuous PDFs in bins. For many years the widely used statistical modelling package RooFit evaluated…

Data Analysis, Statistics and Probability · Physics 2021-08-06 V. V. Gligorov , S. Hageboeck , T. Nanut , A. Sciandra , D. Y. Tou

We are constructing a program to estimate the redshifts for GRBs from the original Swift light curves and spectra, aiming to get redshifts for the Swift bursts \textit{without} spectroscopic or photometric redshifts. We derive the…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Limin Xiao , Bradley E. Schaefer