94 research outputs found
The Power of Self-Skepticism in Astrobiology
Any claims for evidence of life on other worlds have the potential to be transformative events in human history. Accordingly, any such claims will be met with intense scrutiny from the scientific community. This will be particularly true for claims for evidence of life on exoplanets--planets around other stars--for which we will only have remote-sensing data and no ability to grab a piece of that world and put it under both literal and figurative microscopes. The data upon which these claims will be made will be the integrated product of the entire careers of some of the world's greatest scientists and engineers, paid for by considerable taxpayer expense. This presents astrobiologists with a paradox: How can such investments be justified if the end goal is destined to be a highly scrutinized discovery
On the Frequency of Potential Venus Analogs from Kepler Data
The field of exoplanetary science has seen a dramatic improvement in
sensitivity to terrestrial planets over recent years. Such discoveries have
been a key feature of results from the {\it Kepler} mission which utilizes the
transit method to determine the size of the planet. These discoveries have
resulted in a corresponding interest in the topic of the Habitable Zone (HZ)
and the search for potential Earth analogs. Within the Solar System, there is a
clear dichotomy between Venus and Earth in terms of atmospheric evolution,
likely the result of the large difference ( factor of two) in incident
flux from the Sun. Since Venus is 95\% of the Earth's radius in size, it is
impossible to distinguish between these two planets based only on size. In this
paper we discuss planetary insolation in the context of atmospheric erosion and
runaway greenhouse limits for planets similar to Venus. We define a ``Venus
Zone'' (VZ) in which the planet is more likely to be a Venus analog rather than
an Earth analog. We identify 43 potential Venus analogs with an occurrence rate
(\eta_{\venus}) of and for M
dwarfs and GK dwarfs respectively.Comment: 6 pages, 3 figures, 2 tables. Accepted for publication in the
Astrophysical Journal Letters. More information and graphics can be found at
the Habitable Zone Gallery (http://hzgallery.org
Organic Haze as a Biosignature in Anoxic Earth-like Atmospheres
Early Earth may have hosted a biologically-mediated global organic haze
during the Archean eon (3.8-2.5 billion years ago). This haze would have
significantly impacted multiple aspects of our planet, including its potential
for habitability and its spectral appearance. Here, we model worlds with
Archean-like levels of carbon dioxide orbiting the ancient sun and an M4V dwarf
(GJ 876) and show that organic haze formation requires methane fluxes
consistent with estimated Earth-like biological production rates. On planets
with high fluxes of biogenic organic sulfur gases (CS2, OCS, CH3SH, and
CH3SCH3), photochemistry involving these gases can drive haze formation at
lower CH4/CO2 ratios than methane photochemistry alone. For a planet orbiting
the sun, at 30x the modern organic sulfur gas flux, haze forms at a CH4/CO2
ratio 20% lower than at 1x the modern organic sulfur flux. For a planet
orbiting the M4V star, the impact of organic sulfur gases is more pronounced:
at 1x the modern Earth organic sulfur flux, a substantial haze forms at CH4/CO2
~ 0.2, but at 30x the organic sulfur flux, the CH4/CO2 ratio needed to form
haze decreases by a full order of magnitude. Detection of haze at an
anomalously low CH4/CO2 ratio could suggest the influence of these biogenic
sulfur gases, and therefore imply biological activity on an exoplanet. When
these organic sulfur gases are not readily detectable in the spectrum of an
Earth-like exoplanet, the thick organic haze they can help produce creates a
very strong absorption feature at UV-blue wavelengths detectable in reflected
light at a spectral resolution as low as 10. In direct imaging, constraining
CH4 and CO2 concentrations will require higher spectral resolution, and R > 170
is needed to accurately resolve the structure of the CO2 feature at 1.57
{\mu}m, likely, the most accessible CO2 feature on an Archean-like exoplanet.Comment: accepted for publication in Astrobiolog
Astrobiology as a NASA Grand Challenge
"Are we alone" is a question whose ambition can only be met with a NASA-led global collaboration. In this white paper, we describe how this makes "The Search for Life Beyond Earth" a new Grand Challenge for NASA. As described in the White House Office of Science and Technology Policy and the White House National Economic Council, Grand Challenges are "ambitious but achievable goals that harness science, technology, and innovation to solve important national or global problems and that have the potential to capture the public's imagination." NASA had identified an "Asteroid Grand Challenge" centered on the Asteroid Retrieval Mission, which was closed out in June, 2017. Here, we explain how NASA's next Grand Challenge could be focused on "The Search for Life Beyond Earth," with a flagship-scale mission in Astrophysics as its centerpiece
Lower Limits on Aperture Size for an ExoEarth-Detecting Coronagraphic Mission
The yield of Earth-like planets will likely be a primary science metric for
future space-based missions that will drive telescope aperture size. Maximizing
the exoEarth candidate yield is therefore critical to minimizing the required
aperture. Here we describe a method for exoEarth candidate yield maximization
that simultaneously optimizes, for the first time, the targets chosen for
observation, the number of visits to each target, the delay time between
visits, and the exposure time of every observation. This code calculates both
the detection time and multi-wavelength spectral characterization time required
for planets. We also refine the astrophysical assumptions used as inputs to
these calculations, relying on published estimates of planetary occurrence
rates as well as theoretical and observational constraints on terrestrial
planet sizes and classical habitable zones. Given these astrophysical
assumptions, optimistic telescope and instrument assumptions, and our new
completeness code that produces the highest yields to date, we suggest lower
limits on the aperture size required to detect and characterize a
statistically-motivated sample of exoEarths.Comment: Accepted for publication in ApJ; 38 pages, 16 Figures, 3 Table
Abiotic Ozone and Oxygen in Atmospheres Similar to Prebiotic Earth
The search for life on planets outside our solar system will use
spectroscopic identification of atmospheric biosignatures. The most robust
remotely-detectable potential biosignature is considered to be the detection of
oxygen (O_2) or ozone (O_3) simultaneous to methane (CH_4) at levels indicating
fluxes from the planetary surface in excess of those that could be produced
abiotically. Here, we use an altitude-dependent photochemical model with the
enhanced lower boundary conditions necessary to carefully explore abiotic O_2
and O_3 production on lifeless planets with a wide variety of volcanic gas
fluxes and stellar energy distributions. On some of these worlds, we predict
limited O_2 and O_3 build up, caused by fast chemical production of these
gases. This results in detectable abiotic O_3 and CH_4 features in the
UV-visible, but no detectable abiotic O_2 features. Thus, simultaneous
detection of O_3 and CH_4 by a UV-visible mission is not a strong biosignature
without proper contextual information. Discrimination between biological and
abiotic sources of O_2 and O_3 is possible through analysis of the stellar and
atmospheric context - particularly redox state and O atom inventory - of the
planet in question. Specifically, understanding the spectral characteristics of
the star and obtaining a broad wavelength range for planetary spectra should
allow more robust identification of false positives for life. This highlights
the importance of wide spectral coverage for future exoplanet characterization
missions. Specifically, discrimination between true- and false-positives may
require spectral observations that extend into infrared wavelengths, and
provide contextual information on the planet's atmospheric chemistry.Comment: Accepted for publication in The Astrophysical Journal. 43 pages, 6
figure
Detecting and Constraining N Abundances in Planetary Atmospheres Using Collisional Pairs
Characterizing the bulk atmosphere of a terrestrial planet is important for
determining surface pressure and potential habitability. Molecular nitrogen
(N) constitutes the largest fraction of Earths atmosphere and is likely
to be a major constituent of many terrestrial exoplanet atmospheres. Due to its
lack of significant absorption features, N is extremely difficult to
remotely detect. However, N produces an N-N collisional pair,
(N), which is spectrally active. Here we report the detection of
(N) in Earths disk-integrated spectrum. By comparing spectra from
NASAs EPOXI mission to synthetic spectra from the NASA Astrobiology
Institutes Virtual Planetary Laboratory three-dimensional spectral Earth
model, we find that (N) absorption produces a ~35 decrease in flux
at 4.15 m. Quantifying N could provide a means of determining bulk
atmospheric composition for terrestrial exoplanets and could rule out abiotic
O generation, which is possible in rarefied atmospheres. To explore the
potential effects of (N) in exoplanet spectra, we used radiative
transfer models to generate synthetic emission and transit transmission spectra
of self-consistent N-CO-HO atmospheres, and analytic N-H
and N-H-CO atmospheres. We show that (N) absorption in the
wings of the 4.3 m CO band is strongly dependent on N partial
pressures above 0.5 bar and can significantly widen this band in thick N
atmospheres. The (N) transit transmission signal is up to 10 ppm for an
Earth-size planet with an N-dominated atmosphere orbiting within the HZ of
an M5V star and could be substantially larger for planets with significant
H mixing ratios.Comment: Accepted for publication in The Astrophysical Journal. 46 pages, 12
figures, 3 table
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Machine learning is now used in many areas of astrophysics, from detecting
exoplanets in Kepler transit signals to removing telescope systematics. Recent
work demonstrated the potential of using machine learning algorithms for
atmospheric retrieval by implementing a random forest to perform retrievals in
seconds that are consistent with the traditional, computationally-expensive
nested-sampling retrieval method. We expand upon their approach by presenting a
new machine learning model, \texttt{plan-net}, based on an ensemble of Bayesian
neural networks that yields more accurate inferences than the random forest for
the same data set of synthetic transmission spectra. We demonstrate that an
ensemble provides greater accuracy and more robust uncertainties than a single
model. In addition to being the first to use Bayesian neural networks for
atmospheric retrieval, we also introduce a new loss function for Bayesian
neural networks that learns correlations between the model outputs.
Importantly, we show that designing machine learning models to explicitly
incorporate domain-specific knowledge both improves performance and provides
additional insight by inferring the covariance of the retrieved atmospheric
parameters. We apply \texttt{plan-net} to the Hubble Space Telescope Wide Field
Camera 3 transmission spectrum for WASP-12b and retrieve an isothermal
temperature and water abundance consistent with the literature. We highlight
that our method is flexible and can be expanded to higher-resolution spectra
and a larger number of atmospheric parameters
Identifying Planetary Biosignature Impostors: Spectral Features of CO and O4 Resulting from Abiotic O2/O3 Production
O2 and O3 have been long considered the most robust individual biosignature
gases in a planetary atmosphere, yet multiple mechanisms that may produce them
in the absence of life have been described. However, these abiotic planetary
mechanisms modify the environment in potentially identifiable ways. Here we
briefly discuss two of the most detectable spectral discriminants for abiotic
O2/O3: CO and O4. We produce the first explicit self-consistent simulations of
these spectral discriminants as they may be seen by JWST. If JWST-NIRISS and/or
NIRSpec observe CO (2.35, 4.6 um) in conjunction with CO2 (1.6, 2.0, 4.3 um) in
the transmission spectrum of a terrestrial planet it could indicate robust CO2
photolysis and suggest that a future detection of O2 or O3 might not be
biogenic. Strong O4 bands seen in transmission at 1.06 and 1.27 um could be
diagnostic of a post-runaway O2-dominated atmosphere from massive H-escape. We
find that for these false positive scenarios, CO at 2.35 um, CO2 at 2.0 and 4.3
um, and O4 at 1.27 um are all stronger features in transmission than O2/O3 and
could be detected with SNRs 3 for an Earth-size planet orbiting a
nearby M dwarf star with as few as 10 transits, assuming photon-limited noise.
O4 bands could also be sought in UV/VIS/NIR reflected light (at 0.345, 0.36,
0.38, 0.445, 0.475, 0.53, 0.57, 0.63, 1.06, and 1.27 um) by a next generation
direct-imaging telescope such as LUVOIR/HDST or HabEx and would indicate an
oxygen atmosphere too massive to be biologically produced.Comment: 7 pages, 4 figures, accepted to the Astrophysical Journal Letter
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