On the theory behind the gradient of power spectrum method of stellar rotation period determination

Authors

D Sokoloff
Bulat Nizamov (ORCID: https://orcid.org/0000-0002-3410-6706)
Peter Frick (ORCID: https://orcid.org/0000-0001-7156-1583)
Roman Okatev (ORCID: https://orcid.org/0000-0003-2741-1531)
Vladimir Obridko (ORCID: https://orcid.org/0000-0001-5100-806X)
Maria Katsova

Institutions

Lomonosov Moscow State University (RU)
Institute of Terrestrial Magnetism Ionosphere and Radio Wave Propagation (RU)
Institute of Continuous Media Mechanics (RU)
Moscow State University (TJ)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-06-08
DOI: https://doi.org/10.5281/zenodo.20593105
Primary Topic: Stellar, planetary, and galactic studies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

On the theory behind the gradient of power spectrum method of stellar rotation period determination

D Sokoloff, Bulat Nizamov, Peter Frick, Roman Okatev et al.

Jun 8, 2026

Zenodo (CERN European Organization for Nuclear Research)

Stellar, planetary, and galactic studies

article

On the theory behind the gradient of power spectrum method of stellar rotation period determination

D Sokoloff, Bulat Nizamov, Peter Frick, Roman Okatev, Vladimir Obridko, Maria Katsova

June 8, 2026article en

Abstract

No abstract available for this paper.

Zenodo (CERN European Organization for Nuclear Research)

Lomonosov Moscow State University (RU), Institute of Terrestrial Magnetism Ionosphere and Radio Wave Propagation (RU), Institute of Continuous Media Mechanics (RU), Moscow State University (TJ)

Climate action

Openalex Percentile: Top 6%

Stellar, planetary, and galactic studies

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.