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RAS Techniques and Instruments, Call for Papers

RAS Techniques and Instruments, Call for Papers

From data simulators to exposure time calculators—your work can help shape NASA’s next flagship mission.

📘 #RASTI Call for Papers: Habitable World Observatory Mission Concept Development

🗓 Deadline: 31 August 2026

🔗 oxford.ly/4uwmCuz

@rasjournals.bsky.social #NASA

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STILTS-NLI implementation.

STILTS-NLI implementation.

Published in #RASTI RAS Techniques & Instruments: "STILTS-NLI: a natural language interface for STILTS", Shaw et al. This is Fig. 4: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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RASTI Student Prize: celebrating student research excellence!

RASTI Student Prize: celebrating student research excellence!

The #RASTI Student Prize supports student researchers contributing to data-driven and technical advances in the physical sciences. If you are a student author, consider applying for this prestigious award!

🔗 oxford.ly/4sSoPQh
@rasjournals.bsky.social

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Flowchart of the analysis presented in this work. Data products are indicated by rounded boxes, while discrete stages of our analysis are indicated with rectangular boxes.

Flowchart of the analysis presented in this work. Data products are indicated by rounded boxes, while discrete stages of our analysis are indicated with rectangular boxes.

Published in #RASTI RAS Techniques & Instruments: "StarDICE IV: correcting visible photometry from atmospheric grey extinction using thermal infrared observations", Sommer et al. This is Fig. 2: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social

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We show simulations of 1,000,000 realizations of a cross-spectrum bin, here in an unaveraged (⁠⁠N = 1) case. Please see the paper for the full caption.

We show simulations of 1,000,000 realizations of a cross-spectrum bin, here in an unaveraged (⁠⁠N = 1) case. Please see the paper for the full caption.

Published in #RASTI RAS Techniques & Instruments: "The statistical properties of the cross spectrum", Nathan et al. This is Fig. 1: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Call for papers : Habitable World Observatory Mission Concept

Call for papers : Habitable World Observatory Mission Concept

🛰️ Attention researchers in astrophysics, instrumentation, and mission design! 📢 Submit your work, reviews, or short communications to #RASTI for the Habitable World Observatory Mission.

🗓 Deadline: Aug 31, 2026.
🔗 oxford.ly/4r4rYKJ
@rasjournals.bsky.social
#Exoplanets #Astrophysics

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(a) Design schematic of the 3-inch MKID array (pixel pitch: 1.5 F lambda = 4 mm @ 345 GHz). Scale bar: 4 mm. (b) Assembly configuration showing the aluminum MKID array mounted on a Gold-plated OFC base. The dimensions of the base are 79 mm x 76 mm.

(a) Design schematic of the 3-inch MKID array (pixel pitch: 1.5 F lambda = 4 mm @ 345 GHz). Scale bar: 4 mm. (b) Assembly configuration showing the aluminum MKID array mounted on a Gold-plated OFC base. The dimensions of the base are 79 mm x 76 mm.

Published in #RASTI RAS Techniques & Instruments: "Laser-based frequency-to-pixel mapping method for submillimetre MKID array", Lyu et al. This is Fig. 1: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Flowchart summarizing the automated workflow implemented by LENSINGFLOW including both the multiplet and single event analyses. We note that the latter stages noting the output to CBCFLOW happen repeatedly throughout the process of the deployment of the analyses such that the metadata is always reflective of the current state of analyses. We also note that whilst the status of the event is always checked after each analysis for interest in the event/pair for that pipeline, the status recorded in the ledger, and ultimately, the outputs, we show this step only for those cases where that check has knock on effects in the deployment of other analyses.

Flowchart summarizing the automated workflow implemented by LENSINGFLOW including both the multiplet and single event analyses. We note that the latter stages noting the output to CBCFLOW happen repeatedly throughout the process of the deployment of the analyses such that the metadata is always reflective of the current state of analyses. We also note that whilst the status of the event is always checked after each analysis for interest in the event/pair for that pipeline, the status recorded in the ledger, and ultimately, the outputs, we show this step only for those cases where that check has knock on effects in the deployment of other analyses.

Published in #RASTI RAS Techniques & Instruments: "LensingFlow: an automated workflow for gravitational wave lensing analyses", Wright et al. This is Fig. 1: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Distribution of our model points, compared to the parameter ranges in which the Neufeld and Omukai prescriptions are valid. A significant fraction of our data points lie outside the ranges covered by D. A. Neufeld & M. J. Kaufman (1993) and K. Omukai et al. (2010).

Distribution of our model points, compared to the parameter ranges in which the Neufeld and Omukai prescriptions are valid. A significant fraction of our data points lie outside the ranges covered by D. A. Neufeld & M. J. Kaufman (1993) and K. Omukai et al. (2010).

Published in #RASTI RAS Techniques & Instruments: "A rotational line CO cooling rate prescription for AGB outflows", Ceulemans et al. This is Fig. 1: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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A workflow diagram of our pipeline, showing the classification, localization, and segmentation mask prediction steps. The DM-time transform acts as an input to the algorithm. Feature maps are obtained using a backbone CNN, which are upsampled by the FPN to obtain high semantics across different scales. The RPN proposes regions of interest across the image where relevant objects may be present, performing a light-weight classification. Regions with the highest score are selected and aligned with the original feature map by the RoI Align network. From these RoI, a segmentation mask is obtained through a CNN with an upsampling layer at the end, and a classification score and bounding box coordinates are obtained through a series of fully connected layers, producing the output of the algorithm.

A workflow diagram of our pipeline, showing the classification, localization, and segmentation mask prediction steps. The DM-time transform acts as an input to the algorithm. Feature maps are obtained using a backbone CNN, which are upsampled by the FPN to obtain high semantics across different scales. The RPN proposes regions of interest across the image where relevant objects may be present, performing a light-weight classification. Regions with the highest score are selected and aligned with the original feature map by the RoI Align network. From these RoI, a segmentation mask is obtained through a CNN with an upsampling layer at the end, and a classification score and bounding box coordinates are obtained through a series of fully connected layers, producing the output of the algorithm.

Published in #RASTI RAS Techniques & Instruments: "Enhancing fast radio transient detection with Mask R-CNN image segmentation", Belmonte Díaz et al. This is Fig. 5: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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GPU-offload mechanism for SWIFT tasks. Circles in this image represent pack tasks where the data required for the computations is packed into arrays of part_send structs. Once a thread has packed the data for S_p leaf computations the offload process begins.

GPU-offload mechanism for SWIFT tasks. Circles in this image represent pack tasks where the data required for the computations is packed into arrays of part_send structs. Once a thread has packed the data for S_p leaf computations the offload process begins.

Published in #RASTI RAS Techniques & Instruments: "Task-parallelism in SWIFT for heterogeneous compute architectures", Nasar et al. This is Fig. 6: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Detection rates for different combinations of RFIM applied to test vectors containing realistic RFI as a function of DM are shown. Please see the paper for the full caption.

Detection rates for different combinations of RFIM applied to test vectors containing realistic RFI as a function of DM are shown. Please see the paper for the full caption.

Published in #RASTI RAS Techniques & Instruments: "Evaluating the effectiveness of radio frequency interference removal algorithms for single pulse searches", Hombal et al. This is Fig. 4: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Diagram of the training loop: In a clockwise fashion; the source function is initiated to the Planck function B, which is then sent to the agent as a state. The agent’s policy decides on an action that generates four parameters p that are used to construct a smooth, well-behaved source function across the entire depth scale. The agent’s predicted solution is passed to the physics engine, which generates a conditioned ‘implied’ source function that would satisfy SE. The residual of the agent and implied source is used as a reward signal to instruct the agent’s policy. The inner loop iterates until either a max step criterion is reached or the agent obtains the target, defining a single episode. Once the inner loop terminates, the source function is once again initiated to the Planck function, and the agent can try and refine its policy.

Diagram of the training loop: In a clockwise fashion; the source function is initiated to the Planck function B, which is then sent to the agent as a state. The agent’s policy decides on an action that generates four parameters p that are used to construct a smooth, well-behaved source function across the entire depth scale. The agent’s predicted solution is passed to the physics engine, which generates a conditioned ‘implied’ source function that would satisfy SE. The residual of the agent and implied source is used as a reward signal to instruct the agent’s policy. The inner loop iterates until either a max step criterion is reached or the agent obtains the target, defining a single episode. Once the inner loop terminates, the source function is once again initiated to the Planck function, and the agent can try and refine its policy.

Published in #RASTI RAS Techniques & Instruments: "Solving the 2-level atom non-LTE problem using soft actor-critic reinforcement learning", Panos & Milić. Please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Comoving cosmic star formation rate density in the redshift range 0 ≤ ⁠z ≤ 59. Please see the paper for the full caption.

Comoving cosmic star formation rate density in the redshift range 0 ≤ ⁠z ≤ 59. Please see the paper for the full caption.

Published in #RASTI RAS Techniques & Instruments: "ECHO21: a tool for modelling global 21-cm signal from dark ages to reionization", Mittal et al. This is Fig. 1: for the caption & to read the paper please visit academic.oup.com/rasti/articl...

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Comparison of NIST (Y. Ralchenko & A. Kramida 2020) and Kurucz (R. L. Kurucz 2018) Fe I emission spectra at 3000 K and 6000 K; the 6000 K spectrum contains many lines only present in the Kurucz data set.

Comparison of NIST (Y. Ralchenko & A. Kramida 2020) and Kurucz (R. L. Kurucz 2018) Fe I emission spectra at 3000 K and 6000 K; the 6000 K spectrum contains many lines only present in the Kurucz data set.

Published in #RASTI RAS Techniques & Instruments: "EXOATOM: a database of atomic spectra in ExoMol format", Ni et al. This is Fig. 2: please visit academic.oup.com/rasti/articl... to read the paper.

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RASTI Student Prize: celebrating student research excellence

RASTI Student Prize: celebrating student research excellence

Student authors may be considered for the #RASTI Student Prize when submitting to RAS Techniques and Instruments.

Submit your research: oxford.ly/4qGkSwu
@rasjournals.bsky.social

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Power-law gradients as wind direction rotates from –90 through 90 degrees. Top: radial order 2. Middle: azimuthal pair ⁠± 10. Bottom: azimuthal pair ⁠± 1.

Power-law gradients as wind direction rotates from –90 through 90 degrees. Top: radial order 2. Middle: azimuthal pair ⁠± 10. Bottom: azimuthal pair ⁠± 1.

Published in #RASTI RAS Techniques & Instruments: "Modelling of turbulence induced quasi-static aberrations at extremely large telescope scales", Gill et al. This is Fig. 2: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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RAS Techniques and Instruments Call for Papers: Habitable World Observatory Mission Concept Development Software, Tools, and Methodologies

RAS Techniques and Instruments Call for Papers: Habitable World Observatory Mission Concept Development Software, Tools, and Methodologies

🔭 Designing a telescope to find life beyond Earth?

#RASTI seeks submissions on tools, AI/ML, simulations, and methodologies for the Habitable Worlds Observatory (HWO) mission.

🗓 Deadline: August 31, 2026
🔗 oxford.ly/3ZfEgEk

@rasjournals.bsky.social #HWO #Astronomy #SpaceMissions

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Synthetic ePSFs constructed by integrating a PSF model over ‘flush and flat’ intrapixel sensitivity profile. Please see the paper for the full caption.

Synthetic ePSFs constructed by integrating a PSF model over ‘flush and flat’ intrapixel sensitivity profile. Please see the paper for the full caption.

Published in #RASTI RAS Techniques & Instruments: "Strategies for accurate effective point spread function (ePSF) modelling on undersampled images", Godden & Blundell. This is Fig. 1: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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Illustration of different intensities read by a PWFS detector. From left to right: non-energy sensitive detector detecting a narrow waveband, MKID detecting multiple wavebands, MKID detecting multiple wavebands with an exaggerated dispersion, and a ‘flattened pyramid’ case for the central pupil images.

Illustration of different intensities read by a PWFS detector. From left to right: non-energy sensitive detector detecting a narrow waveband, MKID detecting multiple wavebands, MKID detecting multiple wavebands with an exaggerated dispersion, and a ‘flattened pyramid’ case for the central pupil images.

Published in #RASTI RAS Techniques & Instruments: "Polychromatic pyramid wavefront sensor with MKID technology for high contrast imaging", Magniez et al. This is Fig. 2: for the caption & to read the paper please visit academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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RASTI Student Prize: celebrating student research excellence. Learn more and submit your paper.

RASTI Student Prize: celebrating student research excellence. Learn more and submit your paper.

The #RASTI Student Prize recognises student authors whose work contributes to methods, software, and instrumentation in astronomy and geophysics.

Do you qualify? Learn more and apply: oxford.ly/4amX5wi
@rasjournals.bsky.social

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A grid of example images. Please see the paper for the full caption.

A grid of example images. Please see the paper for the full caption.

Published in #RASTI RAS Techniques & Instruments: "The position and resolvability of blended point sources", by Zephyr Penoyre. This is Fig. 1: for the caption & to read the paper please visit academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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Join MNRAS and RASTI at #AAS247. Phoenix, Arizona, 4-8 January 2026.

Join MNRAS and RASTI at #AAS247. Phoenix, Arizona, 4-8 January 2026.

Are you attending #AAS247 in Phoenix, AZ? @rasjournals.bsky.social & OUP will be!

Visit us at stand 714 to learn more about exciting developments for the #MNRAS and #RASTI journals: oxford.ly/4p4g0jd

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An overview of the workflow with CosmoPower: To create a new emulator (top box), we write a packaging prescription, use that to generate training data, and from that train emulators which outputs several emulator files, for which we can easily generate plots which validate the accuracy of the emulators. This packaging prescription and set of emulator files are then shared with the end-user (arrows), who wants to use the emulators (bottom box): the prescription is put inside the sampling configuration file, which is given to our software wrappers, which provide the user with an MCMC chain that can be used to find cosmological constraints. The various labels refer to the sections where these individual steps are described in this paper.

An overview of the workflow with CosmoPower: To create a new emulator (top box), we write a packaging prescription, use that to generate training data, and from that train emulators which outputs several emulator files, for which we can easily generate plots which validate the accuracy of the emulators. This packaging prescription and set of emulator files are then shared with the end-user (arrows), who wants to use the emulators (bottom box): the prescription is put inside the sampling configuration file, which is given to our software wrappers, which provide the user with an MCMC chain that can be used to find cosmological constraints. The various labels refer to the sections where these individual steps are described in this paper.

From the ADS: currently most highly cited RAS Techniques & Instruments #RASTI paper with a 2025 date: "A complete framework for cosmological emulation and inference with CosmoPower", Jense et al. Read the paper at academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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Illustration of Mauve optical diagram (not to scale).

Illustration of Mauve optical diagram (not to scale).

Published in #RASTI RAS Techniques & Instruments: "MAUVESIM: the instrument simulator software for the Blue Skies Space Mauve satellite", Saba et al. This is Fig. 1: for the caption & to read the paper please visit academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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Artist rendition of SAMPEX observation of trapped ACR within the magnetosphere. ACRs are shown as bright band within outer Van Allen belt and the inner belt.

Artist rendition of SAMPEX observation of trapped ACR within the magnetosphere. ACRs are shown as bright band within outer Van Allen belt and the inner belt.

Published in #RASTI RAS Techniques & Instruments: "AGILE: an innovative instrument concept to identify and characterize solar energetic particles", Kanekal et al. This is Fig. 1: please visit academic.oup.com/rasti/articl... to read the paper. @royalastrosoc.bsky.social @academic.oup.com

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The Ajisai satellite with mirror panels and CCRs (corner cube reflectors) covering its spherical surface labelled on the figure. This figure is taken from T. Otsubo et al. (2000).

The Ajisai satellite with mirror panels and CCRs (corner cube reflectors) covering its spherical surface labelled on the figure. This figure is taken from T. Otsubo et al. (2000).

Published in #RASTI RAS Techniques & Instruments: "Lord of the (sub-)Rings: mapping the surface reflectance and spin-axis of Ajisai", Airey et al. This is Fig. 1: for the caption & to read the paper please visit academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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Sky projection of the proto catalogues after applied magnitude cuts (see Section 3) in equatorial coordinates, constituting the superset from which the northern and southern WEAVE-TwiLight fields are derived. Red stars are part of the PLATO Long-duration Observation Phase (LOP) fields (V. Nascimbeni et al. 2022, 2025). Black circles and diamonds signify known exoplanet hosts and candidates, respectively. For orientation the Kepler FOV is overlaid in dark blue.

Sky projection of the proto catalogues after applied magnitude cuts (see Section 3) in equatorial coordinates, constituting the superset from which the northern and southern WEAVE-TwiLight fields are derived. Red stars are part of the PLATO Long-duration Observation Phase (LOP) fields (V. Nascimbeni et al. 2022, 2025). Black circles and diamonds signify known exoplanet hosts and candidates, respectively. For orientation the Kepler FOV is overlaid in dark blue.

Published in #RASTI RAS Techniques & Instruments: "The WEAVE-TwiLight-Survey: expanding WEAVE’s reach to bright and low-surface-density targets with a novel observing mode", Hajnik et al. This is Fig. 2: read the paper at academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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Schematic representation of the Flatiron Institute Non-Uniform Fast Fourier Transform (finufft) algorithm as utilized by fftvis. Please read the paper for the full caption.

Schematic representation of the Flatiron Institute Non-Uniform Fast Fourier Transform (finufft) algorithm as utilized by fftvis. Please read the paper for the full caption.

Published in #RASTI RAS Techniques & Instruments: "fftvis: a non-uniform Fast Fourier Transform based interferometric visibility simulator", Cox et al. This is Fig. 1: for the caption & to read the paper please visit academic.oup.com/rasti/articl... @royalastrosoc.bsky.social @academic.oup.com

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AGU 2025 - Where Science Connects Us

AGU 2025 - Where Science Connects Us

Are you attending #AGU25 in New Orleans this week? @rasjournals.bsky.social is!

Visit OUP at stand 1051 to learn more about the exciting developments for the #GJI and #RASTI journals: oxford.ly/3KJ4T0T

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