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Adam Rains

@spectraltypos.bsky.social
405 followers 1.1K following 15 posts

astronomer & science communicator, 🇦🇺➡️🇸🇪➡️🇨🇱, he/him adrains.github.io

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Reposted by Adam Rains
Linn Boldt-Christmas @nplinnspace.bsky.social · 28/04/2026
🪐🔭 Our paper on everyone's favourite popcorn #exoplanet, WASP-107 b, has now been accepted for publication in A&A! Here is the updated arXiv version: arxiv.org/abs/2508.18964 The main science results are covered in the original thread below ⬇️ but since we added a bunch of cool new things... 🧪🧵
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Adam Rains @spectraltypos.bsky.social · 17/09/2025
Paper day! You're doing ground-based high-resolution exoplanet transmission spectroscopy and want to analyse the planet—not the star or Earth's atmosphere. Is there a way to disentangle your spectrum *without* destroying the planet signal? arxiv.org/abs/2509.12737 🧵⬇️ 🔭 #exoplanets #astromethods
arxiv.org
TSD: An inverse problem approach for recovering the exoplanetary atmosphere transmission spectrum from high-resolution spectroscopy
Our ability to observe, detect, and characterize exoplanetary atmospheres has grown by leaps and bounds over the last 20 years, aided largely by developments in astronomical instrumentation; improveme...
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Reposted by Adam Rains
Linn Boldt-Christmas @nplinnspace.bsky.social · 27/08/2025
Do you love WASP-107 b? Do you love making use of *both* ground VLT + space JWST obs to detect molecules in a "warm" (Teq<800K) #exoplanet in transmission, even in a crazy confusing cloudy atmosphere?! 🚨 It's PAPER* DAY! Which means #scicomm thread! 🧵⬇️🔭🪐🧪 *pre-print! arxiv.org/abs/2508.18964
arxiv.org
VLT/CRIRES+ observations of warm Neptune WASP-107 b: Molecular detections and challenges in ground-based transmission spectroscopy of cooler and cloudy exoplanets
Atmospheres of transiting exoplanets can be studied spectroscopically using space-based or ground-based observations. Each has its own strengths and weaknesses, so there are benefits to both approache...
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Adam Rains @spectraltypos.bsky.social · 23/02/2024
<skeets into room at full speed> Hi astro bluesky—it's paper day! I dove into optical M/K dwarf spectra—rife with molecules as they are—& found success with a data-driven 🌈 model (i.e. ML) vs physical models. 1) 🟦🌈 recovery 😌 2) 🟥🌈 recovery 😌 3) Physical model vs ML 🙃 arxiv.org/abs/2402.14639 🔭
Observed low resolution blue spectra of benchmark M/K dwarfs ordered from warmest (top, smoothest) to coolest (bottom, most wiggly) as compared to a data-driven/machine learning (ML) model. The spectra match remarkably well!Observed medium resolution red spectra of benchmark M/K dwarfs ordered from warmest (top, smoothest) to coolest (bottom, most wiggly) as compared to a data-driven/machine learning (ML) model. The spectra match remarkably well!Observed blue+red spectra of benchmark M/K dwarfs ordered from warmest (top, smoothest) to coolest (bottom, most wiggly) as compared to theoretical spectra from physical models. The match is poor, pointing to missing physics or molecular data in the physical models.
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