Search NASA⌕ Search
Home/Archive/NASA NTRS

NASA NTRS · 20240000227

Probing ExoMiner for Effectiveness against False Alarms in Kepler Data

Miguel Martinho·Hamed Valizadegan·Jon Jenkins·Steve Bryson·Douglas Caldwell·Joseph Twicken
View original source ↗Export metadata ↓

Abstract

We present a study on the effectiveness of ExoMiner against False Alarms in Kepler data. ExoMiner is a deep learning model that was used to validate around 370 Kepler Objects of Interest. We follow the analysis conducted in Coughlin et al (2017) “DR25 Robovetter Completeness and Effectiveness” for Robovetter, a rule-based model used to vet TCEs for this data release and automatically generate the Q1-Q17 DR 25 KOI Table. The ExoMiner model is trained on observed transit data from Kepler Q1-Q17 DR25 and evaluated on Kepler inverted and scrambled data. The results provide a more comprehensive insight into the capacities and limitations of ExoMiner, especially the vetting of not-transit-like signals and, more generally, the use of deep learning models to model transit photometry data for vetting and validation purposes.

Explore related subjects

exoplanetKeplersimulated datascrambled datainverted data

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Miguel Martinho, Hamed Valizadegan, Jon Jenkins, Steve Bryson, Douglas Caldwell, Joseph Twicken. Probing ExoMiner for Effectiveness against False Alarms in Kepler Data. https://ntrs.nasa.gov/citations/20240000227

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

NASA NTRS2018

Beyond Kepler: Direct Imaging of Exoplanets

The exoplanets field has been revolutionizing astronomy over the past 20+ years and shows no signs of stopping. The next big wave of exoplanet science may come from direct imaging of exoplanets. Several (non-habitable) exoplanets have already been imaged from the ground and NASA is planning an instrument for its 2020s flagship mission (WFIRST) to directly image large exoplanets. One of the key goals of the field is the detection and characterization of "Earth 2.0", i.e. a rocky planet with an atmosphere capable of supporting life. This appears possible with several potential instruments in the late 2020s such as WFIRST with a starshade, Extremely Large Telescopes (ELTs) from the ground, or one of NASA possible flagship missions in the 2030s (HabEx or LUVOIR). Also, if an Earth-like planet exists around Alpha Centauri (A or B), it may be possible to directly image it in the next approx. 5 years with a small space mission such as the Alpha Centauri Exoplanet Satellite (ACESat). I will describe the current challenges and opportunities in this exciting field, as well as the work we are doing at the Exoplanet Technologies group to enable this exciting science.

exoplanet↗
NASA NTRS2017

Kepler: A Search for Terrestrial Planets - SOC 9.3 DR25 Pipeline Parameter Configuration Reports

This document describes the manner in which the pipeline and algorithm parameters for the Kepler Science Operations Center (SOC) science data processing pipeline were managed. This document is intended for scientists and software developers who wish to better understand the software design for the final Kepler codebase (SOC 9.3) and the effect of the software parameters on the Data Release (DR) 25 archival products.

exoplanet↗
NASA NTRS2017

Science Return from Alpha Centauri and Proxima B

I will talk about the science that can be accomplished by observing the Alpha Centauri system with a variety of space telescope missions or a fly-by mission, including measurements of the planet properties such as size, temperature, rotation period, taking the spectrum of its atmosphere, imaging features like continents, and assessing its habitability. I will also talk about potential measurements of relativistic effects that would occur with a flyby that is a significant fraction of the speed of light.

exoplanet↗