Lightcurve analysis of asteroid 15691 Maslov using NAO Rozhen observations and sparse data

被引：0

作者：

Bebekovska, E. Vchkova ^{[1
]}

Apostolovska, G. ^{[1
]}

Boeva, S. ^{[2
,3
]}

Petrov, B. ^{[2
,3
]}

Borisov, G. ^{[2
,3
]}

Kostov, A. ^{[2
,3
]}

机构：

[1] Ss Cyril & Methodius Univ, Fac Sci, Inst Phys, Arhimedova 3, Skopje 1000, North Macedonia

[2] Bulgarian Acad Sci, Inst Astron, Tsarigradsko Chaussee Blvd 72, BG-1784 Sofia, Bulgaria

[3] Bulgarian Acad Sci, Natl Astron Observ, Tsarigradsko Chaussee Blvd 72, BG-1784 Sofia, Bulgaria

来源：

BULGARIAN ASTRONOMICAL JOURNAL | 2023年 / 39卷

关键词：

Minor planets; asteroids; photometric-Asteroids; individual; 15691; Maslov;

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Photometric observations of the asteroid 15691 Maslov, were performed with 2 m and 50/70 cm Schmidt telescopes at NAO Rozhen during the asteroid's opposition in 2015 and 2022. Calculated colour indices suggest that 15691 Maslov belongs to the S spectral type. The composite lightcurve shows synodic rotation period of 7.8 +/- 0.2h hours and amplitude of about 0.2 magnitudes. For calculation of the sidereal period with the lightcurve inversion technique we used our dense photometric data in combination with the sparse data from the AstDys21 database.

引用

页数：7

共 50 条

[31] Analysis of lung cancer methylome data by NMF with sparse regularization using a toxicogenomics database
Takasawa, Ken
Hamamoto, Ryuji
CANCER SCIENCE, 2023, 114 : 353 - 353
[32] Deep sparse graph functional connectivity analysis in AD patients using fMRI data
Ahmadi, Hessam
Fatemizadeh, Emad
Motie-Nasrabadi, Ali
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 201 (201)
[33] Frequency Analysis of Acoustic Data Using Multiple-Measurement Sparse Bayesian Learning
Shin, Myoungin
Hong, Wooyoung
Lee, Keunhwa
Choo, Youngmin
SENSORS, 2021, 21 (17)
[34] Multivariate random-effects meta-analysis for sparse data using smvmeta
Rose, Christopher James
STATA JOURNAL, 2024, 24 (02): : 301 - 328
[35] Knowledge Acquisition from Pedestrian Flow Analysis using Sparse Mobile Probe Data
Neto, Ranulfo Plutarco Bezerra
Ohno, Kazunori
Westfechtel, Thomas
Kojima, Shotaro
Yamada, Kento
Tadokoro, Satoshi
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2021, 102 (04)
[36] Comparison of GPS observations made in a forestry setting using functional data analysis
Ordonez, C.
Martinez, J.
de Cos Juez, J. F.
Sanchez Lasheras, F.
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2012, 89 (03) : 402 - 408
[37] Potential of methPLIER, an analysis method using NMF with sparse regularization, for inter-platform data analysis.
Takasawa, Ken
Hamamoto, Ryuji
CANCER SCIENCE, 2022, 113 : 505 - 505
[38] Detecting Premature Ventricular Contraction by Using Regulated Discriminant Analysis with Very Sparse Training Data
Lynggaard, Per
APPLIED ARTIFICIAL INTELLIGENCE, 2019, 33 (03) : 229 - 248
[39] Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis
Xiu, Xianchao
Yang, Ying
Kong, Lingchen
Liu, Wanquan
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (01) : 361 - 365
[40] Low-Rank Approximation of Data Matrices Using Robust Sparse Principal Component Analysis
Pfeiffer, Pia
Filzmoser, Peter
COMBINING, MODELLING AND ANALYZING IMPRECISION, RANDOMNESS AND DEPENDENCE, SMPS 2024, 2024, 1458 : 357 - 362

← 1 2 3 4 5 →