Natasha E. Batalha
Pennsylvania State University
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Publication
Featured researches published by Natasha E. Batalha.
The Astronomical Journal | 2017
Jessie L. Christiansen; Andrew Vanderburg; Jennifer Burt; Benjamin J. Fulton; Konstantin Batygin; Björn Benneke; John M. Brewer; David Charbonneau; David R. Ciardi; Andrew Collier Cameron; Jeffrey L. Coughlin; Ian J. M. Crossfield; Courtney D. Dressing; Thomas P. Greene; Andrew W. Howard; David W. Latham; Emilio Molinari; A. Mortier; Fergal Mullally; F. Pepe; Ken Rice; Evan Sinukoff; A. Sozzetti; Susan E. Thompson; S. Udry; Steven S. Vogt; Travis Barman; Natasha E. Batalha; F. Bouchy; Lars A. Buchhave
HD 3167 is a bright (V = 8.9), nearby K0 star observed by the NASA K2 mission (EPIC 220383386), hosting two small, short-period transiting planets. Here we present the results of a multi-site, multi-instrument radial-velocity campaign to characterize the HD 3167 system. The masses of the transiting planets are 5.02 ± 0.38 M⊕ for HD 3167 b, a hot super-Earth with a likely rocky composition (ρ_b = 5.60^(+2.15)_(-1.43) g cm^(−3)), and 9.80^(+1.30)_(-1.24) M⊕ for HD 3167 c, a warm sub-Neptune with a likely substantial volatile complement (ρ_c = 1.97^(+0.94)_(0.59) g cm^(−3)). We explore the possibility of atmospheric composition analysis and determine that planet c is amenable to transmission spectroscopy measurements, and planet b is a potential thermal emission target. We detect a third, non-transiting planet, HD 3167 d, with a period of 8.509 ± 0.045 d (between planets b and c) and a minimum mass of 6.90 ± 0.71 M⊕. We are able to constrain the mutual inclination of planet d with planets b and c: we rule out mutual inclinations below 1 3 because we do not observe transits of planet d. From 1 3 to 40°, there are viewing geometries invoking special nodal configurations, which result in planet d not transiting some fraction of the time. From 40° to 60°, Kozai–Lidov oscillations increase the systems instability, but it can remain stable for up to 100 Myr. Above 60°, the system is unstable. HD 3167 promises to be a fruitful system for further study and a preview of the many exciting systems expected from the upcoming NASA TESS mission.
Publications of the Astronomical Society of the Pacific | 2017
Natasha E. Batalha; Avram M. Mandell; Klaus M. Pontoppidan; Kevin B. Stevenson; Nicole Lewis; Jason S. Kalirai; Nick Earl; Thomas P. Greene; Loic Albert; L. D. Nielsen
As we approach the James Webb Space Telescope (JWST) era, several studies have emerged that aim to: 1) characterize how the instruments will perform and 2) determine what atmospheric spectral features could theoretically be detected using transmission and emission spectroscopy. To some degree, all these studies have relied on modeling of JWSTs theoretical instrument noise. With under two years left until launch, it is imperative that the exoplanet community begins to digest and integrate these studies into their observing plans, as well as think about how to leverage the Hubble Space Telescope (HST) to optimize JWST observations. In order to encourage this and to allow all members of the community access to JWST & HST noise simulations, we present here an open-source Python package and online interface for creating observation simulations of all observatory-supported time-series spectroscopy modes. This noise simulator, called PandExo, relies on some aspects of Space Telescope Science Institutes Exposure Time Calculator, Pandeia. We describe PandExo and the formalism for computing noise sources for JWST. Then, we benchmark PandExos performance against each instrument teams independently written noise simulator for JWST, and previous observations for HST. We find that \texttt{PandExo} is within 10% agreement for HST/WFC3 and for all JWST instruments.
The Astrophysical Journal | 2017
Natasha E. Batalha; Eliza M.-R. Kempton; Rostom Mbarek
MassSpec, a method for determining the mass of a transiting exoplanet from its transmission spectrum alone, was proposed by \citet{dew13}. The premise of this method relies on the planets surface gravity being extracted from the transmission spectrum via its effect on the atmospheric scale height, which in turn determines the strength of absorption features. Here, we further explore the applicability of \textit{MassSpec} to low-mass exoplanets -- specifically those in the super-Earth size range for which radial velocity determinations of the planetary mass can be extremely challenging and resource intensive. Determining the masses of these planets is of the utmost importance because their nature is otherwise highly unconstrained. Without knowledge of the mass, these planets could be rocky, icy, or gas-dominated. To investigate the effects of planetary mass on transmission spectra, we present simulated observations of super-Earths with atmospheres made up of mixtures of H
The Astronomical Journal | 2017
Natasha E. Batalha; Michael R. Line
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The Astronomical Journal | 2018
Natasha E. Batalha; Adam J. R. W. Smith; Nikole K. Lewis; Mark S. Marley; Jonathan J. Fortney; Bruce A. Macintosh
O and H
The Astrophysical Journal | 2016
Jacob Haqq-Misra; R. Kopparapu; Natasha E. Batalha; Chester E. Harman; James F. Kasting
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The Astrophysical Journal | 2017
R. Kopparapu; Eric T. Wolf; Giada N. Arney; Natasha E. Batalha; Jacob Haqq-Misra; Simon L. Grimm; Kevin Heng
, both with and without clouds. We model their transmission spectra and run simulations of each planet as it would be observed with \textit{JWST} using the NIRISS, NIRSpec, and MIRI instruments. We find that significant degeneracies exist between transmission spectra of planets with different masses and compositions, making it impossible to unambiguously determine the planets mass in many cases.
Icarus | 2015
Natasha E. Batalha; Shawn D. Domagal-Goldman; Ramses M. Ramirez; James F. Kasting
The James Webb Space Telescope (JWST) is nearing its launch date of 2018, and is expected to revolutionize our knowledge of exoplanet atmospheres. In order to specifically identify which observing modes will be most useful for characterizing a diverse range of exoplanetary atmospheres, we use an information content (IC) based approach commonly used in the studies of solar system atmospheres. We develop a system based upon these IC methods to trace the instrumental and atmospheric model phase space in order to identify which observing modes are best suited for particular classes of planets, focusing on transmission spectra. Specifically, the atmospheric parameter space we cover is T = 600–1800 K, C/O = 0.55–1, [M/H] = 1–100 × Solar for an R = 1.39 R J , M = 0.59 M J planet orbiting a WASP-62-like star. We also explore the influence of a simplified opaque gray cloud on the IC. We find that obtaining broader wavelength coverage over multiple modes is preferred over higher precision in a single mode given the same amount of observing time. Regardless of the planet temperature and composition, the best modes for constraining terminator temperatures, C/O ratios, and metallicity are NIRISS SOSS+NIRSpec G395. If the targets host star is dim enough such that the NIRSpec prism is applicable, then it can be used instead of NIRISS SOSS+NIRSpec G395. Lastly, observations that use more than two modes should be carefully analyzed because sometimes the addition of a third mode results in no gain of information. In these cases, higher precision in the original two modes is favorable.
arXiv: Earth and Planetary Astrophysics | 2015
Natasha E. Batalha; Jason S. Kalirai; Jonathan I. Lunine; Mark Clampin; Don J. Lindler
Atmospheric characterization of directly imaged planets has thus far been limited to ground-based observations of young, self-luminous, Jovian planets. Near-term space- and ground- based facilities like \emph{WFIRST} and ELTs will be able to directly image mature Jovian planets in reflected light, a critical step in support of future facilities that aim to directly image terrestrial planets in reflected light (e.g. HabEx, LUVOIR). These future facilities are considering the use of photometry to classify planets. Here, we investigate the intricacies of using colors to classify gas-giant planets by analyzing a grid of 9,120 theoretical reflected light spectra spread across different metallicities, pressure-temperature profiles, cloud properties, and phase angles. We determine how correlated these planet parameters are with the colors in the \emph{WFIRST} photometric bins and other photometric bins proposed in the literature. Then we outline under what conditions giant planet populations can be classified using several supervised multivariate classification algorithms. We find that giant planets imaged in reflected light can be classified by metallicity with an accuracy of
Earth and Planetary Science Letters | 2016
Natasha E. Batalha; R. Kopparapu; Jacob Haqq-Misra; James F. Kasting
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