AI - Data - Apps - Cybernetics Archives - Page 22 of 40

Detection maps for five configurations of simulated point-like sources whose locations are pointed out by circles. Reconstruction results b𝒙 obtained with the proposed approach (bottom) are compared to S/N maps obtained with PACO (middle) and with the oracle version of PACO (top) assuming a perfect unmixing (not achievable in practice) between the objects of interest and the nuisance component for the computation of the nuisance parameters. Dataset: HIP 113283 (2015-06-27, #6), total parallactic rotation Δ𝜙 = 22.8 ◦ for 𝑇test = 64 temporal frames kept, see Sect. 3.1 for the detailed observation parameters. We used a detection threshold of 5 for all methods. -- astro-ph.IM

AI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report

MODEL&CO: Exoplanet Detection In Angular Differential Imaging By Learning Across Multiple Observations

by Keith CowingOctober 12, 2024October 12, 2024

Direct imaging of exoplanets is particularly challenging due to the high contrast between the planet and the star luminosities, and their small angular separation. In addition to tailored instrumental facilities […]

From left to right: S/N maps after AnnPCA, AnnL1-LRA, AMATL2, AMATL1, respectively. Top: S/N maps calculated using VIP package. Bottom: S/N maps proposed by Bonse et al. (2023). The white circles highlight the location of the planet. -- astro-ph.IM

AI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report

An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection — The AMAT Algorithm

by Keith CowingOctober 11, 2024October 11, 2024

Effective image post-processing algorithms are vital for the successful direct imaging of exoplanets. Standard PSF subtraction methods use techniques based on a low-rank approximation to separate the rotating planet signal […]

Test results when using the complete properties dataset where the 150 test planets are treated as transit observations, with missing mass values. The left-hand plot shows four proposed imputation algorithms alongside the mBM code in TLG2020. The right-hand plot shows the comparison between the observed mass and imputed mass for the mBM code and the kNN×KDE algorithm. The figure legend shows the average error across all 150 plotted planets. The diagonal dashed line marks a perfect correspondence between the observed and imputed values. The distributions of the three planets marked in the right-hand legend are shown below. -- astro-ph.EP

AI - Data - Apps - Cybernetics, Citizen Science / Open Science, Exoplanets, -moons, -comets, Status Report

Estimating Exoplanet Mass Using Machine Learning on Incomplete Datasets

by Keith CowingOctober 11, 2024October 11, 2024

The exoplanet archive is an incredible resource of information on the properties of discovered extrasolar planets, but statistical analysis has been limited by the number of missing values. One of […]

Transmission spectra of the 20 exoplanets analyzed as part of this survey. -- astro-ph.EP

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Exoplanets, -moons, -comets, Status Report

The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres

by Keith CowingOctober 10, 2024October 10, 2024

Producing optimized and accurate transmission spectra of exoplanets from telescope data has traditionally been a manual and labor-intensive procedure.

Top: The high-resolution spectrum of the T-dwarf Gl229 B analyzed using ExoJAX2 (Kawashima et al. submitted) with ∼ 108 total molecular absorption lines considered. The blue solid line shows the median value, while the blue shaded regions indicate the 95% credible interval. Black points represent the observed Subaru/IRD data. The periodic increases in the residuals observed correspond to the gaps between orders. Bottom: Medium-resolution transmission spectrum of WASP-39 b analyzed using ExoJAX2 and the HMC-NUTS method. The black solid line represents the model derived from the median values of each parameter obtained through MCMC sampling, with the 95% credible interval shaded in gray. The blue points show the observed planetary radii from JWST NIRSpec/G395H observations. The vertical axis on the left shows the planetary radius, while the vertical axis on the right displays the corresponding pressure. The contributions of CO, CO2, H2O, SO2, gray clouds, and collision-induced absorption (CIA) are represented by colored shading with an offset of -0.01 Rs. -- astro-ph.SR

AI - Data - Apps - Cybernetics, Apps - Games, Astronomy & Telescopes, Brown Dwarfs, Imaging & Spectroscopy, Status Report, Stellar Cartography

Differentiable Modeling of Planet and Substellar Atmosphere: High-Resolution Emission, Transmission, and Reflection Spectroscopy with ExoJAX2

by Keith CowingOctober 10, 2024October 10, 2024

Modeling based on differentiable programming holds great promise for astronomy, as it can employ techniques such as Hamiltonian Monte Carlo, gradient-based optimization, and other machine learning techniques.

Geographical distribution of the samples analyzed at an ecosystem level. Pie size is positively correlated to the number of samples (log10). The DBSCAN clustering algorithm was applied to group 1,837 latitude and longitude points from all metatranscriptomes into 70 clustered points. -- Cell

AI - Data - Apps - Cybernetics, Away Teams & Field Reports, Biosignatures & Paleobiology, Genomics, Proteomics, Bioinformatics, Microbiology & Virology, Press Release

AI Discovers Over 160,000 New Virus Species On Earth

by Keith CowingOctober 9, 2024October 9, 2024

Artificial intelligence (AI) has been used to reveal details of a diverse and fundamental branch of life living right under our feet and in every corner of the globe.

ESASky visualization of the field of view around WASP-69 -- astro-ph.EP

AI - Data - Apps - Cybernetics, Apps - Games, Astronomy & Telescopes, Exoplanets, -moons, -comets, Gaia Mission, Press Release

Gen TSO: A General JWST Simulator for Exoplanet Times-series Observations

by Keith CowingOctober 8, 2024November 16, 2024

Gen TSO is a noise calculator specifically tailored to simulate James Webb Space Telescope (JWST) time-series observations of exoplanets. Gen TSO enables the estimation of signal-to-noise ratios (S/N) for transit […]

Top: Stellar spectral energy distribution (SED) templates used in this work. The A0 and A7 spectra are based on the work of Fossati et al. (2018), the solar spectrum is from the TIMED and SORCE missions (Woods et al. 2005; Rottman 2005), and the rest of the spectra are from the MUSCLES survey (France et al. 2016; Youngblood et al. 2016; Loyd et al. 2016; Wilson et al. 2021; Behr et al. 2023). Bottom: The integrated XUV flux (λ < 911 Å) of each SED, as a function of the effective temperature of the star (scatter points; see also Table 1). Small black points indicate SEDs in the MUSCLES database that we do not use. The grey histogram (read from the right y-axis) shows the host star effective temperatures of the initial planet population. Planets are assigned the SED template of the closest stellar spectral type. If the spectral type is not reported, the SED template of the star with the closest effective temperature is assigned. -- astro-ph.EP

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biosignatures & Paleobiology, Exoplanets, -moons, -comets, Status Report

sunset: A Database Of Synthetic Atmospheric-escape Transmission Spectra For Nearly Every Transiting Planet

by Keith CowingOctober 7, 2024October 7, 2024

Studying atmospheric escape from exoplanets can provide important clues about the formation and evolution of exoplanets. Observational evidence of atmospheric escape has been obtained through transit spectroscopy in strong spectral […]

The cloud structure and transmission spectrum of a sub-Neptune planet with physical properties similar to GJ 1214 b. The condensate species considered here is NaCl, KCl and ZnS. In the left panel, the meaning of each line is the same as Figure 8. The cloud is dominated by Na2S (upper part) and NaCl (cloud bottom). The right panel shows the synthetic spectrum and the blue line shows one set of parameters that leads to flat spectrum in 1 to 2 µm range, consistent with observation (Kreidberg et al. 2014). -- astro-ph.EP

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Biosignatures & Paleobiology, Exoplanets, -moons, -comets, Habitable Zones, Imaging & Spectroscopy, Status Report

ExoLyn: A Golden Mean Approach To Multi-species Cloud Modelling In Atmospheric Retrieval

by Keith CowingOctober 1, 2024October 1, 2024

Context. Clouds are ubiquitous in exoplanets’ atmospheres and play an important role in setting the opacity and chemical inventory of the atmosphere. Understanding clouds is a critical step in interpreting […]

Lab-on-chip Technologies For Space Research -- NASA

AI - Data - Apps - Cybernetics, Astropharmacy / Biotechnology, Biophysics, Biosignatures & Paleobiology, Commercial & Private Sector, Cubesats and smallsats, Exploration Gear & Tech, Genomics, Proteomics, Bioinformatics, Microbiology & Virology, Microgravity, Missions & Hardware, Nanotechnology & SynBio, Sample Return, Space Life Science, Space Stations, Status Report, Tricorders & Sensors

Lab-on-chip Technologies For Space Research — Current Trends and Prospects

by Keith CowingSeptember 30, 2024October 16, 2024

The in-depth analysis concerning application of microfluidic instruments for space biology research is presented.

AI – Data – Apps – Cybernetics

MODEL&CO: Exoplanet Detection In Angular Differential Imaging By Learning Across Multiple Observations

An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection — The AMAT Algorithm

Estimating Exoplanet Mass Using Machine Learning on Incomplete Datasets

The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres

Differentiable Modeling of Planet and Substellar Atmosphere: High-Resolution Emission, Transmission, and Reflection Spectroscopy with ExoJAX2

AI Discovers Over 160,000 New Virus Species On Earth

Gen TSO: A General JWST Simulator for Exoplanet Times-series Observations

sunset: A Database Of Synthetic Atmospheric-escape Transmission Spectra For Nearly Every Transiting Planet

ExoLyn: A Golden Mean Approach To Multi-species Cloud Modelling In Atmospheric Retrieval

Lab-on-chip Technologies For Space Research — Current Trends and Prospects

A Martian Horizon Last Monday Afternoon

Habitable-zone Earths At The Detection Frontier: Measured Completeness And False-alarm Rate Of A Transit Pipeline For The PLATO M-dwarf Sample

A Homogeneous Survey Of JWST MIRI Transmission Spectra Of 10 Exoplanets

Retrieving Ocean Glint Reflectance Signatures From Directly Imaged Earth-like Exoplanets

Analytical Platform (Microsampling, Catapulting, Trapping, and LIBS) for the Characterization of Discrete Domains in Samples of Astrochemical Interest