Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variables
arXiv:2406.00071 · doi:10.52783/jes.4079
Abstract
With a particular focus on Scipy's minimize function the eclipse mapping method is thoroughly researched and implemented utilizing Python and essential libraries. Many optimization techniques are used, including Sequential Least Squares Programming (SLSQP), Nelder-Mead, and Conjugate Gradient (CG). However, for the purpose of examining photometric light curves these methods seek to solve the maximum entropy equation under a chi-squared constraint. Therefore, these techniques are first evaluated on two-dimensional Gaussian data without a chi-squared restriction, and then they are used to map the accretion disc and uncover the Gaussian structure of the Cataclysmic Variable KIC 201325107. Critical analysis is performed on the code structure to find possible faults and design problems. Additionally, the analysis shows how several factors impacting computing time and image quality are included including the variance in Gaussian weighting, disc image resolution, number of data points in the light curve, and degree of constraint.
References in corpus (20)
- A map of the day-night contrast of the extrasolar planet HD 189733b
- Inverting Phase Functions to Map Exoplanets
- Atmospheric Circulation of Hot Jupiters: A Shallow Three-Dimensional Model
- Towards consistent mapping of distant worlds: secondary-eclipse scanning of the exoplanet HD189733b
- Resolving the Surfaces of Extrasolar Planets With Secondary Eclipse Light Curves
- GRB060218 as a Tidal Disruption of a White Dwarf by an Intermediate Mass Black Hole
- Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19
- Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows
- From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
- From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue
- Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets
- Advancing Audio Fingerprinting Accuracy Addressing Background Noise and Distortion Challenges
- MLOps: A Review
- Kepler observations of the eclipsing cataclysmic variable KIS J192748.53+444724.5
- Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance
- Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions
- A Novel Audio Representation for Music Genre Identification in MIR
- The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions
- Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets
- Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization