2016A&A...595A..82E


C.D.S. - SIMBAD4 rel 1.7 - 2020.07.02CEST12:02:09

2016A&A...595A..82E - Astronomy and Astrophysics, volume 595A, 82-82 (2016/11-1)

A machine learned classifier for RR Lyrae in the VVV survey.

ELORRIETA F., EYHERAMENDY S., JORDAN A., DEKANY I., CATELAN M., ANGELONI R., ALONSO-GARCIA J., CONTRERAS-RAMOS R., GRAN F., HAJDU G., ESPINOZA N., SAITO R.K. and MINNITI D.

Abstract (from CDS):

Variable stars of RR Lyrae type are a prime tool with which to obtain distances to old stellar populations in the Milky Way. One of the main aims of the Vista Variables in the Via Lactea (VVV) near-infrared survey is to use them to map the structure of the Galactic Bulge. Owing to the large number of expected sources, this requires an automated mechanism for selecting RR Lyrae, and particularly those of the more easily recognized type ab (i.e., fundamental-mode pulsators), from the 106-107 variables expected in the VVV survey area. In this work we describe a supervised machine-learned classifier constructed for assigning a score to a Ks-band VVV light curve that indicates its likelihood of being ab-type RR Lyrae. We describe the key steps in the construction of the classifier, which were the choice of features, training set, selection of aperture, and family of classifiers. We find that the AdaBoost family of classifiers give consistently the best performance for our problem, and obtain a classifier based on the AdaBoost algorithm that achieves a harmonic mean between false positives and false negatives of ~=7% for typical VVV light-curve sets. This performance is estimated using cross-validation and through the comparison to two independent datasets that were classified by human experts.

Abstract Copyright: © ESO, 2016

Journal keyword(s): stars: variables: RR Lyrae - methods: data analysis - methods: statistical - techniques: photometric

CDS comments: Terzan_V113 is VVV J180229.21-255839.1 in SIMBAD.

Simbad objects: 11

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Number of rows : 11

N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2020
#notes
1 RX J0036.3+4053 GlC 00 36 20.86 +40 53 37.1 17.190 17.033 16.35 15.787 15.40 ~ 55 0
2 2MASX J00363299+4024533 G 00 36 32.9511736887 +40 24 53.539484496   17.83 16.93     ~ 12 0
3 BA 3-19 GlC 00 36 46.7345363408 +40 19 42.273414726 17.730 17.460 16.750 16.240 15.730 ~ 38 0
4 NAME Gal Center reg 17 45 40.04 -29 00 28.1           ~ 11532 0
5 OGLE BLG143.6 103895 RR* 17 58 12.3993207308 -33 31 13.087674496     17.191   15.665 ~ 6 0
6 VVV J180229.21-255839.1 EB* 18 02 29.2007667638 -25 58 39.217039666           ~ 2 0
7 OGLE BLG-RRLYR-33508 RR* 18 02 52.7625678520 -26 09 34.067260731         18.249 ~ 3 0
8 ESO 521-16 GlC 18 02 57.40 -26 04 00.0           ~ 73 0
9 NAME Baade Window reg 18 03.5 -30 01           ~ 528 3
10 NAME 2MASS-GC02 GlC 18 09 36.5 -20 46 44           ~ 37 0
11 NAME Galactic Bulge reg ~ ~           ~ 3387 0

    Equat.    Gal    SGal    Ecl

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2020.07.02-12:02:09

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