Detecting Secular Perturbations in Kepler Planetary Systems Using Simultaneous Impact Parameter Variation Analysis (SIPVA)

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Liu, Zhixing, Pu, Bonan
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915523246161920
author Liu, Zhixing
Pu, Bonan
author_facet Liu, Zhixing
Pu, Bonan
contents Recovering impact parameter variations in multi-planet systems is an effective approach for detecting non-transiting planets and refining planetary mass estimates. Traditionally, two methodologies have been employed: the Individual Fit, which fits each transit independently to analyze impact parameter changes, and the Dynamical Fit, which simulates planetary dynamics to match transit light curves. We introduce a new fitting method, Simultaneous Impact Parameter Variation Analysis (SIPVA), which demonstrates advantages over the Individual Fit and avoids the computational cost of N-body integrations required by the Dynamical Fit. SIPVA directly incorporates a linear time-dependent model for impact parameters into the Markov Chain Monte Carlo (MCMC) framework by fitting all transits simultaneously. We evaluate SIPVA and the Individual Fit on artificial systems with varying log-likelihood ratios and find that SIPVA consistently outperforms the Individual Fit in recovery rates and accuracy. When applied to selected Kepler planetary candidates exhibiting significant transit duration variations (TDVs), SIPVA identifies significant impact parameter trends in 10 out of 16 planets, whereas the Individual Fit does so in only 4. We also employ probabilistic modeling to simulate the theoretical distribution of planets with significant impact parameter variations across all observed Kepler systems and compare the distribution of recovered candidates by the Individual Fit and Dynamical Fit from previous work with our theoretical distribution. Our findings offer an alternative framework for analyzing planetary transits, relying solely on Bayesian inference without requiring prior assumptions about the planetary system's dynamical architecture.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06452
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Detecting Secular Perturbations in Kepler Planetary Systems Using Simultaneous Impact Parameter Variation Analysis (SIPVA)
Liu, Zhixing
Pu, Bonan
Earth and Planetary Astrophysics
Instrumentation and Methods for Astrophysics
Recovering impact parameter variations in multi-planet systems is an effective approach for detecting non-transiting planets and refining planetary mass estimates. Traditionally, two methodologies have been employed: the Individual Fit, which fits each transit independently to analyze impact parameter changes, and the Dynamical Fit, which simulates planetary dynamics to match transit light curves. We introduce a new fitting method, Simultaneous Impact Parameter Variation Analysis (SIPVA), which demonstrates advantages over the Individual Fit and avoids the computational cost of N-body integrations required by the Dynamical Fit. SIPVA directly incorporates a linear time-dependent model for impact parameters into the Markov Chain Monte Carlo (MCMC) framework by fitting all transits simultaneously. We evaluate SIPVA and the Individual Fit on artificial systems with varying log-likelihood ratios and find that SIPVA consistently outperforms the Individual Fit in recovery rates and accuracy. When applied to selected Kepler planetary candidates exhibiting significant transit duration variations (TDVs), SIPVA identifies significant impact parameter trends in 10 out of 16 planets, whereas the Individual Fit does so in only 4. We also employ probabilistic modeling to simulate the theoretical distribution of planets with significant impact parameter variations across all observed Kepler systems and compare the distribution of recovered candidates by the Individual Fit and Dynamical Fit from previous work with our theoretical distribution. Our findings offer an alternative framework for analyzing planetary transits, relying solely on Bayesian inference without requiring prior assumptions about the planetary system's dynamical architecture.
title Detecting Secular Perturbations in Kepler Planetary Systems Using Simultaneous Impact Parameter Variation Analysis (SIPVA)
topic Earth and Planetary Astrophysics
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2411.06452