Software that matches camera images to a star catalog is known as an astrometric plate solver
the verdict
INSUFFICIENT LEANING
refutedsupported
the weight of evidence
2 sources for · 0 against
The evidence items discuss pipelines and methods for processing astronomical camera images and matching stars with catalogs, providing partial context for astrometric plate solving without explicitly naming the full definition.
The Small Telescope Extrasolar Transit Search (STExTS) project involves undergraduates in research using ground-based small aperture, wide-angle telescopes to search for transiting exoplanets of stars down to 13th magnitude. The observational campaigns in 2015 and 2016 used the Monroe Observatory of the University of North Texas with a f=1.5 152 mm astrograph installed for remote observing and in 2017 twin f=1.25 152 mm astrographs were remotely accessed at the Dark Sky Observatory Collective (DSOC) near Ft. Davis, TX. Hardware and the use of commercial software for remote operation of the telescope and camera were installed and coordinated by the team. Observational campaigns usually run 25 to 35 nights, capturing 5000+ stars per image, 250 image per night of the same region of the sky. A software processing pipeline and SQL database were created for the searches. The pipeline examines the images, calibrates them, extracts the stars, and matches each star with an astronomical catalog of stars for identification. Finally a complex photometric analysis is performed to measure the light curve of every star, the results of which are stored in the project SQL database hosted by the University of Dallas. PERANSO and VARTOOLs are used to analyze the light curve and to identify stars of interest. The STExTS team has found six candidates for exoplanets, as well as discovering numerous new RR Lyrae variable stars and W UMa binaries. The process of converting the astrograph to remote u
Robotic Telescopes, Student Research and Education (RTSRE) Proceedings
Conference Proceedings, San Diego, California, USA, Jun 18-21, 2017
Fitzgerald, M., James, C.R., Buxner, S., White, S., Eds. Vol. 1, No. 1, (2018)
ISBN 978-0-6483996-0-5 / doi : 10.32374/rtsre.2017.032 / CC BY-NC-ND license
Peer Reviewed Article. rtsre.net/ojs
Using Remote Telescopes for Exoplanet Searches
Richard P . Olenick1*, Arthur Sweeney1, Laura Aumen 1, 2, Ramses Gonzalez1, 3, Alex
Henderson1, 3, Mark Rodriguez1, Philip Lenzen1, John Paul Jones1
Abstract
The Small Telescope Extrasolar Transit Search (STExTS) project involves undergraduates in
research using ground-based small aperture, wide-angle telescopes to search for hot Jupiter-
size transiting exoplanets of stars down to 13th magnitude. The observational campaigns in
2015 and 2016 used the Monroe Observatory of the University of North Texas with a f/1.5 152
mm astrograph installed for remote observing and in 2017 twin f/1.25 152 mm astrographs
were remotely accessed at the Dark Sky Observatory Collective (DSOC) near Ft. Davis, TX.
Hardware and the use of commercial software for remote operation of the telescope and
camera were installed and coordinated by the team. Observational campaigns usually run 25
to 35 nights, capturing 5000+ stars per image, 250 images per night of the same region of the
sky. A software processing pipeline and SQL database were created for the searches. The
pipeline examines the images, calibrates them, extracts the stars, and matches each star with
an astronomical catalog of stars for identification. Finally photometric analysis is performed
to measure the light curve of every star, the results of which are stored in the project SQL
database hosted by the University of Dallas. PERANSO and VARTOOLs are used to analyze
the light curve and to identify stars of interest. The process of converting the astrograph to
remote use, the development of the data pipeline, the role of student researchers, and a new
exoplanet candidate, GSC 2087-1126 b, are presented.
Keywords
techniques: photometric; methods: data analysis; planets and satellites: detection
1Department of Physics, University of Dallas, Irving TX USA
2Department of Physics, Creighton University , Omaha NE USA
3University of North Carolina, Chapel Hill NC USA
*Corresponding author: olenick@udallas.edu
Introduction
Exoplanets with large magnitude depths often
transit bright host stars, allowing ground-based,
photometric measurements of flux over time to be
acquired with differential photometry on even
modest astronomical equipment. Since the first
transiting exoplanet discovery by Charbonneau
(Charbonneau et al., 1999) in 1999 several ground
based small telescope search projects have
succeeded in finding numerous exoplanets, most
notably W ASP (Cameron et al., 2007) and KELT
(Pepper et al., 2007), through the transit method.
The transit depth scales as
( ∆F
F
)
≈ 0.01
( r
RJ
)2( R
RSun
)−2
, (1)
where r and R are the planet and star radii,
respectively. For Jupiter transiting the Sun, taking
Jupiter’s radius asRJ≈ 0.1RSun, the transit depth is
∼ 1%. For an edge-on orbit, the transit time is
given by
Using Remote Telescopes for Exoplanet Searches — 336
Figure 3. The nightly routine followed by
undergraduates taking data indicating the software
components utilized by them.
from the GSC 1.1 star catalog, PinPoint obtains an
astrometric solution for the plate (image). PinPoint
is configured to load subsequently Source
Extractor (SExtractor) (Bertin and Arnouts, 1996).
SExtractor is a program that builds a catalog of
objects from an astronomical image using the
USNO-B1.0 catalog. Although it is particularly
oriented towards reduction of large scale
galaxy-survey data, with thresholds and nets
adjusted, it performs reasonably well on
moderately crowded star fields. SExtractor extracts
the (x,y) position of each star and passes this,
along with its measured magnitude, back to
PinPoint. Given the right ascension and
declination, a local catalog is generated of the field
area from the USNO-B1.0 catalog that is accessed
to identify each star. The locally generated catalog
is necessary because PinPoint does not provide the
name of all of extracted stars. We use the VizieR
Catalog Service to download and create a subset
catalog based on the centers of our plates and their
field of view of about 3 degrees. A raw data SQL
file is created that contains data on each processed
image and a raw data file that contains data on