Searching for biosignatures like oxygen and methane in the atmospheres of terrestrial exoplanets is one of modern astrophysics' grand quests. With the deployment of the 39-meter ELT and its high-resolution ANDES spectrograph (R~100,000), we now have a window into the atmospheres of potentially habitable worlds around red dwarfs. Transit method observations combined with high-resolution spectroscopy let us pick out faint molecular lines from the stellar glare, using the Doppler effect.
We ran numerical simulations of transmission spectra for 18 rocky exoplanets from the Habitable Worlds Catalog. For each, we built cloud-free, Earth-like atmospheres with a two-layer temperature profile and prescribed amounts of H2O, CO2, CH4, and O2. Equilibrium temperature was estimated from the Stefan–Boltzmann law under a blackbody approximation. Using the radiative transfer code petitRADTRANS, we produced high-resolution synthetic spectra and injected realistic noise based on the ANDES exposure time calculator. To assess significance, we performed a Bayesian analysis of the cross-correlation function with an AR(1) autoregressive model that accounts for correlations between adjacent Doppler shifts.
Our analysis shows that water vapor is the easiest to detect: on TRAPPIST-1 planets, it can be firmly spotted in 10–19 transits, and on LHS 1140 b in 30. Carbon dioxide needs about 1.5 times more transits; methane, 3 times; and oxygen, 4 times compared to water. Out of the 18 planets studied, confident (log B ≥ 2) detection of at least one molecule in under 100 transits is possible for eight, with TRAPPIST-1 d leading the pack—all four gases can be detected there in fewer than 36 transits. Targets like TOI-700 d and LP 890-9 c would require hundreds of transits, making them practically out of reach for sensible observing programs.
These results paint a realistic, albeit optimistic, picture of hunting for biosignatures with next-generation ground-based telescopes. They highlight that even under ideal conditions, detecting oxygen remains a monumental challenge requiring years-long campaigns. Meanwhile, lighter molecules like water and carbon dioxide could be spotted within reasonable timeframes, opening the door to statistical studies of climate and potential habitability on planets around red dwarfs.
Advances in suppressing telluric contamination and stellar activity, along with adaptive optics and coronagraphy (HDC mode), will let us expand the target sample to include nearby non-transiting planets. Moreover, future space missions like the Habitable Worlds Observatory could complement ground-based efforts, offering unprecedented sensitivity in the search for biosignatures.
This study will influence the planning of ELT observing programs and the development of high-resolution spectroscopy methods and Bayesian analysis of astronomical data. The findings are pivotal for astrobiology and our grasp of life's prevalence in the universe.
Detailed modeling is needed to assess how clouds, aerosols, and stellar activity affect molecular detectability, along with validation of telluric-line removal techniques on real data from existing high-resolution spectrographs.
This work directly tackles the fundamental challenge of searching for extraterrestrial life and interpreting biosignatures, including the issue of false positives (e.g., abiotic oxygen or methane). It also delves into the atmospheric evolution of Earth-like planets under the intense activity of red dwarfs.
This section is addressed to the author of the paper and their colleagues. Neighbouring works were found by meaning-based search across our archive, not by word overlap. We do not review: we show the field around the work.
What the work does
This study presents numerical simulations of transmission spectra for 18 rocky exoplanets from the Habitable Worlds Catalog to assess the detectability of biosignatures (H2O, CO2, CH4, O2) with the future ANDES spectrograph on the ELT. High-resolution synthetic spectra were generated using the petitRADTRANS code with realistic noise, and detection significance was determined via Bayesian analysis of the cross-correlation function. Water vapor proves to be the most accessible, and for several planets, such as TRAPPIST-1 d, all four gases could be detected in fewer than 36 transits.
Where its strength is
The strength of this work lies in its quantitative assessment of the number of transits required for confident detection of key molecules on specific planets, providing a practical benchmark for planning observational programs with ELT/ANDES. Particularly valuable is the inclusion of realistic instrument noise characteristics and the statistical rigor of the Bayesian approach.
Where it could go next
Worth trying
Why this may matter
Such estimates are critical for allocating observing time on the ELT—the most expensive astronomical facility of the coming decades. Knowing how many nights are needed for the first detection of water or oxygen on a given planet directly shapes the strategy for the search for life beyond the Solar System.
Nearby works in our archive
The closest work in the archive sits at 0.67 by meaning — the usual level for our corpus.
The TRAPPIST-1 system lies just 12 parsecs away; if you plopped it into the heart of our Solar System, all seven planets would fit inside Mercury's orbit, yet thanks to the star's low luminosity, three of them receive roughly the same warmth as Earth.