The graphic displays the text: "We show how subtle interactions between noise-reduction algorithms and instrument filtering can affect the measurements, and we provide tools to understand and mitigate these effects—contributing to the robustness of LISA’s future observations." A plot from the paper is also shown.

>> "We show how subtle interactions between noise-reduction algorithms and instrument filtering can affect the measurements, and we provide tools to understand & mitigate these effects—contributing to the robustness of LISA’s future observations."

Link to paper: 👉 iopscience.iop.org/article/10.1...

The graphic displays the text: "This experiment allows us to test both data-analysis techniques and instrument prototypes under realistic conditions." A plot from the paper is also shown.

>> "This experiment allows us to test both data-analysis techniques and instrument prototypes under realistic conditions."

The graphic displays the text: "When this reference is noisy, extracting the gravitational-wave signal becomes a major challenge. To address this, we use LISA On Table, a dedicated hardware simulator that reproduces realistic LISA signals in the laboratory." The image shows a diagram of LISA next to a flow chart showing how signals move between different components and analysis computers.

>> "When this reference is noisy, extracting the gravitational-wave signal becomes a major challenge. To address this, we use LISA On Table, a dedicated hardware simulator that reproduces realistic LISA signals in the laboratory."

The graphic displays the text: "LISA, the future space mission dedicated to gravitational-wave astronomy, will measure tiny changes in distance using laser beams millions of kilometers long. These measurements rely on the frequency stability of the lasers themselves, which act as LISA’s fundamental reference." There is also an image showing a diagram of LISA.

>> Here's a summary of the paper:

"LISA will measure tiny changes in distance using laser beams millions of kilometers long. These measurements rely on the frequency stability of the lasers themselves, which act as LISA’s fundamental reference."

The graphic shows the details of the talk: Presentor: Léon Vidal. Paper authors: Léon Vidal, Hubert Halloin, Nam Dam Quang, Pierre Prat and Antoine Petiteau. Paper title: "Aliased laser noise and TDI coupling with LISA On table" Paper link: https://iopscience.iop.org/article/10.1088/1361-6382/ae134d/pdf Plus an image from the paper which shows a diagram of LISA.

#LISACommunityTalks

The #LISACommunity recently hosted a talk by Léon Vidal on a paper by Léon Vidal, Hubert Halloin, Nam Dam Quang, Pierre Prat and Antoine Petiteau: "Aliased laser noise and TDI coupling with LISA On table", which can be found here 👉 iopscience.iop.org/article/10.1...

The text displayed is: "For events with signal-to-noise ratio as low as 20 we can differentiate between different formation channels." A plot from the paper is also shown.

> "For events with signal-to-noise ratio as low as 20 we can differentiate between different formation channels."

Read all about this work:
👉 arxiv.org/abs/2508.16399
👉 arxiv.org/abs/2601.15198

The text displayed is: "We showcase the use of MLPs (multi-layer perceptron) to overcome this limit and greatly speed up the process. MLPs are a fully connected neural network." Two plots are also shown.

> "We showcase the use of MLPs (multi-layer perceptron) to overcome this limit and greatly speed up the process. MLPs are a fully connected neural network."

The text on the graphic is: "Extreme mass-ratio inspirals (EMRIs) offer a unique way to study the population of massive black holes. Currently population inference with EMRIs is slow due to the computational and time cost of EMRI waveform generation, even on GPUs." Then, in a highlight box: "EMRIs are binary systems in which a small black hole is slowly spiraling into a much larger one." Next to this is a cartoon of a EMRI - illustrated by two black circles, one much larger than the other (representing the two black holes).

> Here's a summary of the paper.

"Extreme mass-ratio inspirals (EMRIs) offer a unique way to study the population of massive black holes. Currently population inference with EMRIs is slow due to the computational and time cost of EMRI waveform generation, even on GPUs."

The graphic shows details about the talk and paper. Title: "Constraints on Extreme Mass Ratio Inspiral population + Revealing Massive Black Hole astrophysics: hierarchical inference with Extreme Mass Ratio Inspirals" Presentor: Shashwat Singh. Authors: Shashwat Singh, Christian Chapman-Bird, Christopher Berry, John Veitch: There is also a plot from the paper shown.

#LISACommunityTalks

Shashwat Singh recently presented a paper by Shashwat Singh, Christian Chapman-Bird, Christopher Berry, John Veitch: "Constraints on Extreme Mass Ratio Inspiral population + Revealing Massive Black Hole astrophysics: hierarchical inference with Extreme Mass Ratio Inspirals"

The text reads: "But there is good news: if those individually resolvable binaries are removed first, EMRI searches should work well. Therefore, LISA teams will need good catalogs and careful subtraction of Galactic binary signals in order to unlock the full potential of EMRIs."

>> "But there is good news: if those individually resolvable binaries are removed first, EMRI searches should work well. Therefore, LISA teams will need good catalogs and careful subtraction of Galactic binary signals in order to unlock the full potential of EMRIs."

Paper 👉 arxiv.org/abs/2509.20062

The text reads: "We found that the brightest white-dwarf signals can indeed prevent us from correctly identifying EMRIs. But there is good news: if those individually resolvable binaries are removed first, EMRI searches should work well." Alongside the text is a plot from the paper.

>> "We found that the brightest white-dwarf signals can indeed prevent us from correctly identifying EMRIs. But there is good news: if those individually resolvable binaries are removed first, EMRI searches should work well."

The graphic text reads: "We studied how the millions of Galactic white-dwarf binaries filling LISA data can “crosstalk” with EMRIs (Extreme Mass Ratio Inspirals), potentially hiding them." The image shows a plot from the paper with label "The EMRI signal is faint in the data."

>> "We studied how the millions of Galactic white-dwarf binaries filling LISA data can “crosstalk” with EMRIs, potentially hiding them."

The graphic displays the following text: "LISA data analysis is hard: there are a lot of signals mixed together in the data. One exciting but faint type of signal comes from an extreme-mass-ratio inspiral (EMRI): a small black hole slowly spiraling into a much larger one." Alongside the text is a cartoon of two black holes orbiting each other (represented by black circles), one circle is much larger than the other.

>> Here's a summary of the paper:

"LISA data analysis is hard: there are a lot of signals mixed together in the data. One exciting but faint type of signal comes from an extreme-mass-ratio inspiral (EMRI): a small black hole slowly spiraling into a much larger one."

The graphic shows the title, presentor, and authors. Title: "Assessing signal crosstalk between extreme-mass-ratio inspirals and Galactic binaries in LISA data". Presented by Sviatoslav Khukhlaev. Authors: Sviatoslav Khukhlaev, Stanislav Babak. Link to paper: https://arxiv.org/abs/2509.20062 The image shows a plot from the paper.

#LISACommunityTalks

The #LISACommunity recently hosted a talk by Sviatoslav Khukhlaev on a paper by Sviatoslav Khukhlaev, Stanislav Babak: "Assessing signal crosstalk between extreme-mass-ratio inspirals and Galactic binaries in LISA data", which can be found here 👉 arxiv.org/abs/2509.20062

The text on the graphic reads "We focus on the late inspiral and plunge of a small body into a supermassive black hole (i.e. an extreme mass ratio inspiral, or "EMRI"), uncovering a dependence of the final coalescence dynamics on the system's initial conditions not seen in circular mergers." Alongside is a illustration of a pair of black holes orbiting each other, one is much bigger than the other.

>> "We focus on the late inspiral and plunge of a small body into a supermassive black hole (i.e. an extreme mass ratio inspiral, or "EMRI"), uncovering a dependence of the final coalescence dynamics on the system's initial conditions not seen in circular mergers."

The text on the graphic read: "This work investigates the unique imprints orbital eccentricity leaves on the gravitational waves produced by binary black holes." A plot from the paper showing "Quasinormal Mode Excitation" is also shown.

>> "This work investigates the unique imprints orbital eccentricity leaves on the gravitational waves produced by binary black holes."

The text on the graphic reads: "While many binary black hole systems merge after a sequence of circular orbits, some formation mechanisms allow these systems to have significant eccentricity." A plot from the paper is also shown.

>> Here's a summary of the paper:

"While many binary black hole systems merge after a sequence of circular orbits, some formation mechanisms allow these systems to have significant eccentricity."

The graphic shows the title of the talk and the authors. Title: "Gravitational waves from the late inspiral, transition, and plunge of small-mass-ratio eccentric binaires". Presented by Devin Becker. Authors: Devin Becker, Scott Hughes, Gaurav Khanna. A plot from the paper is shown.

#LISACommunityTalks

The #LISACommunity recently hosted a talk by Devin Becker on a paper by Devin Becker, Scott Hughes, Gaurav Khanna: "Gravitational waves from the late inspiral, transition, and plunge of small-mass-ratio eccentric binaries", which can be found here 👉 arxiv.org/abs/2511.21897

Read all about it in the paper here 👉 iopscience.iop.org/article/10.1...
and 👉 arxiv.org/abs/2509.12929

The text displayed in the image is: "The results are very promising, showing that quantum neural networks require less data and very few trainable parameters to learn gravitational wave signatures from the data. This represents a clear advantage when compared to classical neural networks." The image shows two panels, both with time on the x-axis. The top panel shows "Gravitational Wave Probability" on the y-axis. The bottom panel shows "X-TDI strain" on the y-axis.

> "The results are very promising, showing that quantum neural networks require less data and very few trainable parameters to learn gravitational wave signatures from the data. This represents a clear advantage when compared to classical neural networks."

The text displayed in the image is: "LISA alert pipelines require fast analysis and quick detection of gravitational waves signals. Given the fast advancement of the quantum computing field, we test the possibility of using quantum neural networks in our low latency alert pipelines." The image is one of the figures from the paper. It shows blue, purple and black squares.

> Here's a summary of the paper:

"LISA alert pipelines require fast analysis and quick detection of gravitational waves signals. Given the fast advancement of the quantum computing field, we test the possibility of using quantum neural networks in our low latency alert pipelines."

The image shows the title of the presentation and the authors of the paper. Title: "Quantum computing tools for fast detection of gravitational waves in the context of the LISA space mission". Presentor: Maria-Catalina Isfan. Authors: Maria-Catalina Isfan, Laurentiu Caramete, Ana Caramete, Daniel Tonoiu, Alexandru Nicolin-Zaczek. The image shows a flow chart comparing quantum computing with classical computing.

#LISACommunityTalks

The #LISACommunity recently hosted a talk by Maria Isfan on a paper by Maria-Catalina Isfan, Laurentiu Caramete, Ana Caramete, Daniel Tonoiu, Alexandru Nicolin-Zaczek: "Quantum computing tools for fast detection of gravitational waves in the context of LISA space mission"

Showing the title of one of the articles "O4: Cornucopia or results continues!" The background shows an artistic representation of a binary black hole merger with gravitational waves. It shows two black shapes in the middle representing black holes with spiraling blue rings around them representing gravitational waves. This artistic representation of GW250114 by Maggie Chiang for Simons Foundation.

In this edition, we hear from some of the people involved in paper writing & analysis for three interesting Observing Run 4 (O4) events, we go on the hunt for core-collapse supernova and celebrate the 10th anniversary of LISA Pathfinder (@lisacommunity.bsky.social).

Stephen Taylor LISA Science Team Faculty Member

Stephen is a Faculty Member at Vanderbilt University

Stephen is working on gravitational-wave data analysis and astrophysics "I am a member of the LISA Science Team specializing in data-analysis challenges and opportunities"

Stephen's hobbies and interests "I love hiking with my wife, Erika. I'm a huge reader of non-fiction history books, and sci-fi novels. I also unironically love cheesy 1980's action movies".

Stephen Taylor is a faculty member at Vanderbilt University and a member of the LISA Science Team specializing in data-analysis challenges and opportunities.

#HumansOfLISA #LPF10anniversary #LISAMission

The text reads: "It's really important to study these types of mergers more, because they could happen a lot and it will be important to understand all the details by the time LISA launches." Alongside a plot showing merging black holes in simulations. There are two peaks in the plot, one for intermediate mass ratios inspirals and another for equal mass (ish) inspirals.

> "It's really important to study these types of mergers more, because they could happen a lot and it will be important to understand all the details by the time LISA launches."

The text on the graphic reads: "Therefore, when dwarf galaxies merge into massive galaxies, their black holes can also merge. This type of merger is known as a intermediate mass ratio inspiral, and it could make up as much as half of massive black hole mergers in Milky Way-sized galaxies. LISA can detect such mergers!"

> "Therefore, when dwarf galaxies merge into massive galaxies, their black holes can also merge. This type of merger is known as a intermediate mass ratio inspiral, and it could make up as much as half of massive black hole mergers in Milky Way-sized galaxies. LISA can detect such mergers!"

The text reads: "Massive galaxies are known to host supermassive black holes, but some dwarf galaxies also seem to host intermediate mass black holes." There are illustrations of black holes shown as black circles of various sizes.

Here's a summary of the paper:

"Massive galaxies are known to host supermassive black holes, but some dwarf galaxies also seem to host intermediate mass black holes."

Showing a LISA Community Talks graphic. Displayed are the title of the paper and the authors (both shown in the post text). The image shows a picture of a spiral galaxy.

#LISACommunityTalks

#LISACommunity hosted a talk by Jillian Bellovary on a paper by Jillian Bellovary, Yuantong Luo, Tom Quinn, Ferah Munshi, Michael Tremmel, James Wadsley: "Intermediate Mass Ratio Inspirals in Milky Way Galaxies"
👉 arxiv.org/abs/2411.12117
iopscience.iop.org/article/10.3...

Graphic text: This work connects galactic magnetic fields & their electromagnetic signatures with LISA gravitational-wave observations through their common dependence on hierarchical galaxy mergers, the formation scenario for massive black-hole binaries. Also shown is a plot from the paper.

>> This work connects galactic magnetic fields & their electromagnetic signatures with LISA gravitational-wave
observations through their common dependence on hierarchical galaxy mergers, the formation scenario for massive black-hole binaries.

Graphic displaying text: Gravitational-wave astronomy offers new insights into these systems; the Laser Interferometer Space Antenna (LISA) will observe the mergers of massive black-hole binaries, providing constraints on their hosts' evolution. Massive black hole binaries have mass: ~>10 times the mass of our Sun . Also shown is a plot from the paper.

>> Gravitational-wave astronomy offers new insights into these systems; the Laser Interferometer Space Antenna (LISA)
will observe the mergers of massive black-hole binaries, providing constraints on their hosts' evolution.