Galaxy Redshifts from Discrete Optimization of Correlation Functions

Autor: Benjamin Charles Germain Lee, Amitabh Basu, Mubdi Rahman, Tamás Budavári
Rok vydání: 2016
Předmět:
Zdroj: NASA Astrophysics Data System
DOI: 10.48550/arxiv.1604.00652
Popis: We propose a new method of constraining the redshifts of individual extragalactic sources based on celestial coordinates and their ensemble statistics. Techniques from integer linear programming are utilized to optimize simultaneously for the angular two-point cross- and autocorrelation functions. Our novel formalism introduced here not only transforms the otherwise hopelessly expensive, brute-force combinatorial search into a linear system with integer constraints but also is readily implementable in off-the-shelf solvers. We adopt Gurobi, a commercial optimization solver, and use Python to build the cost function dynamically. The preliminary results on simulated data show potential for future applications to sky surveys by complementing and enhancing photometric redshift estimators. Our approach is the first application of integer linear programming to astronomical analysis.
Comment: 10 pages with 3 figures, accepted for publication in The Astronomical Journal on 08/04/16
Databáze: OpenAIRE