A5040281173- Stellar, planetary, and galactic studies
- Astronomy and Astrophysical Research
- Astronomical Observations and Instrumentation
- Dark Matter and Cosmic Phenomena
- Astro and Planetary Science
- Forecasting Techniques and Applications
- Advanced Statistical Methods and Models
- Gamma-ray bursts and supernovae
- Particle physics theoretical and experimental studies
- Blind Source Separation Techniques
- Cosmology and Gravitation Theories
- Space Science and Extraterrestrial Life
- Astrophysics and Cosmic Phenomena
- Stock Market Forecasting Methods
- Time Series Analysis and Forecasting
- Advanced Image and Video Retrieval Techniques
- Complex Systems and Time Series Analysis
- Historical Astronomy and Related Studies
- Geographic Information Systems Studies
- Automated Road and Building Extraction
- Astrophysics and Star Formation Studies
- History and Developments in Astronomy
- Neutrino Physics Research
- Data Management and Algorithms
- Climate variability and models
Ernst & Young (United States)
2023-2024
Pennsylvania State University
2008-2019
Fermi National Accelerator Laboratory
2008
Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series statistics - parametric autoregressive modeling is rarely used to interpret astronomical light curves. We review standard ARMA, ARIMA and ARFIMA (autoregressive moving average fractionally integrated) models that treat short-memory autocorrelation, long-memory 1/f^a `red noise', nonstationary trends. Though designed evenly spaced...
Abstract Nearly one million light curves from the TESS Year 1 southern hemisphere extracted Full Field Images with DIAmante pipeline are processed through AutoRegressive Planet Search statistical procedure. ARIMA models remove lingering autocorrelated noise, Transit Comb Filter identifies strongest periodic signal in curve, and a Random Forest machine-learning classifier is trained applied to identify best potential candidates. Classifier training sets based on injections of planetary...
The 4-year light curves of 156,717 stars observed with NASA's Kepler mission are analyzed using the AutoRegressive Planet Search (ARPS) methodology described by Caceres et al. (2019). three stages processing are: maximum likelihood ARIMA modeling to reduce stellar brightness variations; constructing Transit Comb Filter periodogram identify transit-like periodic dips in residuals; Random Forest classification trained on Team confirmed planets several dozen features from analysis. Orbital...
Abstract The detection of periodic signals from transiting exoplanets is often impeded by extraneous aperiodic photometric variability, either intrinsic to the star or arising measurement process. Frequently, these variations are autocorrelated wherein later flux values correlated with previous ones. In this work, we present methodology autoregessive planet search (ARPS) project, which uses autoregressive integrated moving average (ARIMA) and related statistical models that treat a wide...
Abstract The DIAmante TESS AutoRegressive Planet Search for the southern ecliptic hemisphere (DTARPS-S) project seeks to identify photometric transiting planets from 976,814 stars observed in Year 1 of mission. This paper follows methodology developed by Melton et al. (Paper I) using light curves extracted and preprocessed project. Paper I emerged with a list 7377 statistical properties characteristic but dominated false alarms positives. Here multistage vetting procedure is applied...
One important prediction of acceleration particles in the supernova caused shock magnetic wind exploding Wolf–Rayet and red supergiant stars is production an energetic particle component with E−2 spectrum at a level on order 1% full cosmic ray electron population. After allowing for transport effects, so steepening to E−7/3, this as electrons readily explains WMAP haze from Galactic center region spectrum, intensity, radial profile; requires diffusion timescale rays be much shorter than...
We validate the planetary nature of an ultra-short period planet orbiting M dwarf KOI-4777. use a combination space-based photometry from Kepler, high-precision, near-infrared Doppler spectroscopy Habitable-zone Planet Finder, and adaptive optics imaging to characterize this system. KOI-4777.01 is Mars-sized exoplanet ($\mathrm{R}_{p}=0.51 \pm 0.03R_{\oplus}$) host star every 0.412-days ($\sim9.9$-hours). This smallest validated known we see no evidence for additional massive companions...
Abstract The sensitivities of two periodograms are compared for weak signal planet detection in transit surveys: the widely used Box Least Squares (BLS) algorithm following light curve detrending and Transit Comb Filter (TCF) autoregressive ARIMA modeling. Small depth transits injected into curves with different simulated noise characteristics. Two measures spectral peak significance examined: periodogram signal-to-noise ratio (S/N) a false alarm probability (FAP) based on generalized...
The DIAmante TESS AutoRegressive Planet Search (DTARPS) project seeks to identify photometric transiting planets from 976,814 southern hemisphere stars observed in Year 1 of the mission. This paper follows methodology developed by Melton et al. (Paper I) using light curves extracted and pre-processed (Montalto 2020). Paper I emerged with a list 7,377 statistical properties characteristic but dominated False Alarms Positives. Here multistage vetting procedure is applied including: centroid...
Previously, it has been argued that the anomalous emission from region around Galactic Center observed by WMAP, known as ``WMAP Haze,'' may be synchrotron relativistic electrons and positrons produced in dark matter annihilations. In particular, angular distribution, spectrum, intensity of are consistent with signal expected to result a weakly interactive massive particle an electroweak-scale mass annihilation cross section near value predicted for thermal relic. this article, we revisit...
Nearly one million light curves from the TESS Year 1 southern hemisphere extracted Full Frame Images with DIAmante pipeline are processed through AutoRegressive Planet Search statistical procedure. ARIMA models remove trends and lingering autocorrelated noise, Transit Comb Filter identifies strongest periodic signal in curve, a Random Forest machine learning classifier is trained applied to identify best potential candidates. Classifier training sets include injections of both planetary...
Abstract The DIAmante Transiting Exoplanet Sky Survey (TESS) AutoRegressive Planet Search (DTARPS) project, using novel statistical methods, has identified several hundred candidates for transiting planetary systems obtained from 0.9 million full-frame Image light curves in the TESS Year 1 southern-hemisphere survey. Ten lines of evidence including limited reconnaissance spectroscopy indicate that approximately half are true planets rather than false positives. Here various population...
Sensitive signal processing methods are needed to detect transiting planets from ground-based photometric surveys. Caceres et al. show that the autoregressive planet search (ARPS) method—a combination of integrated moving average (ARIMA) parametric modeling, a new transit comb filter (TCF) periodogram, and machine learning classification—is effective when applied evenly spaced light curves space-based missions. We investigate here whether ARIMA TCF will be for survey often sparsely sampled...
It has been argued that the anomalous emission from region around Galactic Center observed by WMAP, known as WMAP Haze, may be synchrotron relativistic electrons and positrons produced in dark matter annihilations. In particular, angular distribution, spectrum, intensity of are consistent with signal expected to result a WIMP an electroweak-scale mass annihilation cross section near value predicted for thermal relic. Here we revisit this within context supersymmetry evaluate parameter space...
The DIAmante TESS AutoRegressive Planet Search (DTARPS) project, using novel statistical methods, has identified several hundred candidates for transiting planetary systems obtained from 0.9 million Full Frame Image light curves in the Year 1 southern hemisphere survey (Melton et al. 2022a and 2022b). Several lines of evidence, including limited reconnaissance spectroscopy, indicate that at least half are true planets rather than False Positives. Here various population properties these...
The sensitivities of two periodograms are compared for weak signal planet detection in transit surveys: the widely used Box-Least Squares (BLS) algorithm following light curve detrending and Transit Comb Filter (TCF) autoregressive ARIMA modeling. Small depth transits injected into curves with different simulated noise characteristics. Two measures spectral peak significance examined: periodogram signal-to-noise ratio (SNR) a False Alarm Probability (FAP) based on generalized extreme value...