iiinova — where your digital self keeps evolving

Reposted by Nihar Gupte

Annalena Kofler @annalenakofler.bsky.social · 02/07/2026

What a crazy week! I was selected to attend the 75th Lindau Nobel Laureate Meeting and had the opportunity to present my work in front of Nobel Laureates. That was scary, but they are amazing people and loved to chat. #LINO75

1233

Nihar Gupte @nihar-gupte.bsky.social · 29/04/2026

Also my mindmaps which contain knowledge about math, physics, and computer science. You can move around with your mouse! I was working on my website in my free time and it was taking forever. With @anthropic.com Claude model made it possible!

100

Nihar Gupte @nihar-gupte.bsky.social · 29/04/2026

Hi everyone I wanted to show a couple features of my website. Firstly, a page which shows evolutions of the binary black holes we have detected with @ligo.org @egovirgo.bsky.social @kagra. Click the link to learn more! nihargupte.com/blog/catalog... #blackholes

141

Nihar Gupte @nihar-gupte.bsky.social · 01/01/2026

I have been reading Weinberg's "Quantum Theory of Fields", it is an excellent book and rejuvenating my interest in physics. Well, I guess thats my new years resolution, at least make it to chapter 5 👾

020

Nihar Gupte @nihar-gupte.bsky.social · 03/12/2025

Often we talk about accuracy and speed of inference during ML applications to science. However, an equally important feature is flexibility. This is because real data requires flexibility (changing settings during inference time). Please check out Annalena’s thread for more info!

031

Reposted by Nihar Gupte

Annalena Kofler @annalenakofler.bsky.social · 03/12/2025

1/ 🌀 New paper alert! We introduce Dingo-T1, a flexible transformer-based deep learning model for gravitational-wave (GW) data analysis. It adapts to different detector & frequency settings, improving inference efficiency and flexibility 🚀 #AI #MachineLearning #Physics #Astronomy #AcademicSky

Scientific poster with dark background and two black holes illustrated in the center. The paper visualizes gravitational waves, and explains how parameter estimation is performed with DINGO. The standard DINGO model and the DINGO-T1 architectures are illustrated and results are shown. For example, it is possible to reanalyze the same event with different detector configurations with DINGO-T1, illustrated bz a corner plot.

14010

Reposted by Nihar Gupte

Olly Long @hyperbolly.bsky.social · 16/11/2025

How much information can we gain by pushing numerical relativity to its limit by simulating black hole scattering encounters? My latest paper (below) explores these extreme regions of the black-hole scattering parameter space using simulations generated using the Spectral Einstein Code (SpEC).

arxiv.org

Black-hole scattering with numerical relativity: Self-force extraction and post-Minkowskian validation

The asymptotic nature of unbound binary-black-hole encounters provides a clean method for comparing different approaches for modeling the two-body problem in general relativity. In this work, we use n...

174

Reposted by Nihar Gupte

Christopher Berry @cplberry.bsky.social · 12/11/2025

Oo! Interesting #GravitationalWave candidate #S251112cm potentially from a *subsolar* mass source If real, the source is probably has chirp mass ~0.1–0.87 solar masses False alarm rate 1 in 6.2 yr GraceDB gracedb.ligo.org/superevents/... GCN gcn.nasa.gov/circulars/42... Rating 📏🍬 [🧪🔭⚛️]

Initial sky localization. 90% area 1,200 sq deg.

Initial three-dimensional volume localization. Distance around 96 Mpc.

49122

Nihar Gupte @nihar-gupte.bsky.social · 20/10/2025

Great set of talks/panels today by Kip Thorne, Thibault Damour, Zvi Bern, Dennis Lehmkuhl, Leor Barack, Luc Blanchet, Gerhard Schäfer, and Clifford Will about the history of the two body problem. At the MPI for Grav. Phys. in Potsdam.

030

Reposted by Nihar Gupte

Phil Lynch @physlynch.bsky.social · 12/09/2025

New paper on the arXiv today about systematic errors when modelling the gravitation waveform from extreme mass ratio inspirals and their impact on LISA data science Huge thanks to my collaborators, especially Hassan Khalvati, for getting this project over the line! 🧪⚛️🔭🧮 arxiv.org/abs/2509.08875

A posting on the arXiv preprint server.

Title: Systematic errors in fast relativistic waveforms for Extreme Mass Ratio Inspirals

Authors: Hassan Khalvati, Philip Lynch, Ollie Burke, Lorenzo Speri, Maarten van de Meent, Zachary Nasipak

Abstract: Accurate modeling of Extreme Mass-Ratio Inspirals (EMRIs) is essential for extracting reliable information from future space-based gravitational wave observatories. Fast waveform generation frameworks adopt an offline/online architecture, where expensive relativistic computations (e.g. self-force and black hole perturbation theory) are performed offline, and waveforms are generated rapidly online via interpolation across a multidimensional parameter space. In this work, we investigate potential sources of error that result in systematic bias in these relativistic waveform models, focusing on radiation-reaction fluxes. Two key sources of systematics are identified: (i) the intrinsic inaccuracy of the flux data, for which we focus on the truncation of the multipolar mode sum, and (ii) interpolation errors from transitioning to the online stage. We quantify the impact of mode-sum truncation and analyze interpolation errors by using various grid structures and interpolation schemes. For circular orbits in Kerr spacetime with spins larger than a≥0.9, we find that ℓmax≥30 is required for the necessary accuracy. We also develop an efficient Chebyshev interpolation scheme, achieving the desired accuracy level with significantly fewer grid points compared to spline-based methods. For circular orbits in Kerr spacetimes, we demonstrate via Bayesian studies that interpolating the flux to a maximum global relative error that is equal to the small mass ratio is sufficient for parameter estimation purposes. For 4-year long quasi-circular EMRI signals with SNRs=O(100) and mass-ratios 10^−4−10^−6, a global relative error of 10−6 yields mismatches <10^−3 and negligible parameter estimation biases.

1133

Reposted by Nihar Gupte

Carl Rodriguez @carlrodriguez.bsky.social · 26/08/2025

Ok, there's a lot of cool stuff in the new @ligo.org collaboration paper (and I'll let the actual LVK members talk about most of it), but one very cool thing from the populations paper (arxiv.org/abs/2508.18083) that jumps out to me is this plot of the effective spin for 30-40 solar mass BHs: 🔭🧪

top panel of figure 13 from the LVK populations paper (linked in post)

2142

Nihar Gupte @nihar-gupte.bsky.social · 26/08/2025

Everyone is saying it looks like a phoenix I feel like it looks more like a butterfly or a moth from a top down view The beak of the phoenix/antenna of the moth is the heaviest one we've seen so far, and by a good bit!

030

Nihar Gupte @nihar-gupte.bsky.social · 17/07/2025

An interesting talk today at #gramaldi #amaldi16 by Gautam Satishchandran on how black holes cause decoherence of quantum experiments. The research is a thought experiment but also provides estimates on the decoherence time as a function of the distance between the experiment and the black hole.

010

Nihar Gupte @nihar-gupte.bsky.social · 17/07/2025

My favorite slide of the day from #gramaldi #amaldi16. Isobel Romero-Shaw talks about how we can use spin distributions and eccentricities to differentiate between field triples, isolated binary evolution and dynamical formation. It was a cool artwork as well

000

Nihar Gupte @nihar-gupte.bsky.social · 15/07/2025

My favorite slide today from Oliver Jennrich at #gramaldi #amaldi16. It shows how rich gravitational waves from extreme mass ratio inspirals are for testing general relativity

041

Reposted by Nihar Gupte

LIGO Scientific Collaboration @ligo.org · 14/07/2025

We are excited to announce the discovery of #GW231123, a gravitational-wave signal from the merger of two high-mass black holes to form one about 190–265 times the mass of our Sun ligo.org/ligo-virgo-k... #O4IsHere 🔭🧪☄️

210637

Nihar Gupte @nihar-gupte.bsky.social · 05/06/2025

Trump has decided he wants to kill one of humanity's most sensitive instruments for understanding the universe for... about the cost of... half a fighter jet (or less). Source: www.nasa.gov/wp-content/u...

010

Reposted by Nihar Gupte

SXS Collaboration @sxs-collaboration.bsky.social · 20/05/2025

We are excited to release a major update to our catalog of binary black hole simulations, available at arxiv.org/abs/2505.13378! Such simulations are key to LIGO/Virgo/KAGRA being able to extract science from their gravitational wave detections. 1/13 🧪⚛️🔭

Figure 1 from our new catalog paper. We accurately capture precession, memory, eccentricity, and high mass ratio systems. For full details, see the paper.

54810

Reposted by Nihar Gupte

Christopher Berry @cplberry.bsky.social · 01/05/2025

For those with an artistic streak, #GR24Amaldi16 will be hosting an art science exhibition. We welcome submissions inspired by the themes of the meeting (gravity, cosmology, black holes, gravitational waves, astrophysics). Anyone can submit! uofgravity.github.io/amaldi-art/ 🧪🔭🐚

uofgravity.github.io

Amaldi Art Show

2105

Nihar Gupte @nihar-gupte.bsky.social · 22/03/2025

Wanted to shout out this paper: by @maximiliandax.bsky.social and @stephenrgreen.bsky.social. It allows us to perform parameter inference of binary neutron stars in a second. These binary neutron stars are measured with gravitational waves! Here’s a poster I made for the LVK meeting in Barcelona!

Poster showing neutron stars and the remnant kilonova. It also shows the posterior distribution of the neutron star parameters.

171

Reposted by Nihar Gupte

Claire Lamman @clairelamman.bsky.social · 20/03/2025

...so is it time to throw a funeral for LCDM? That depends on who you ask 😂. It's certainly a sign that DESI's DR1 results were not a statistical fluke. Even if LCDM prevails, SOMETHING is weird and that's a great sign that we're learning something new.

2434

Nihar Gupte @nihar-gupte.bsky.social · 24/02/2025

GOAT meets GOAT to create the GOAT of Astro YouTube series

000

Reposted by Nihar Gupte

Annalena Kofler @annalenakofler.bsky.social · 14/01/2025

1/ 🌌 New Paper Alert: How can we decode the atmospheres of exoplanets efficiently and reliably? The latest work by my amazing collaborator @timothygebhard.bsky.social introduces Flow Matching Posterior Estimation for atmospheric retrieval. 🚀🧵👇 #AI #MachineLearning #Physics #Astronomy #AcademicSky

Scientific poster with the title "Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets adaptive noise levels". The background is dark with a blue exoplanet in the center and the surface of a yellow star at the bottom.

1408

Nihar Gupte @nihar-gupte.bsky.social · 12/01/2025

I had the opportunity to answer questions at the Royal Astronomical Society (@royalastrosoc.bsky.social) about GWs+ML. Thanks to all the organizers from Royal Holloway (esp. Ann and Mattia) for inviting me! I was able to work on this fountain pen sketch of the Victoria statue before the workshop:

A blue pen sketch of queen Victoria’s statue in front of Buckingham palace.

032

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

It's times like this when I sometimes regret working in GWs. I love the science we do, but as noted by 2019 Nobel Laureate Michel Mayor: "We can learn much from our discoveries of distant worlds, but, we cannot travel to them". Maybe there's a balance to be found. 11/11

010

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

The other issue you may notice based on the other triggers is that the FAR is quite high, which was addressed in some of the more recent project developments in which I was not so involved. It's a great group of people working there though. 10/11

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

We unfortunately caught this fire right around the time it started, ideally we would want to catch it hours or days earlier thereby preventing it. In some cases, this happens, but depending on the cause of the fire this isn't always possible. 9/11

120

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

However, if there is a fire, (true - expected) will be very different (almost like the fire is a hole in your continuous temperature/infrared field which is OOD for the NN). 8/11

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

If there are no fires, the (true - expected) infrared value of the central pixel should be ~0. This is because temperature is a continuous field. I.e. the central pixel should come from a predictable way based on the surrounding pixels. The NN is learning the method to predict the field. 7/11

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

The way the code works at inference is by taking infrared images every 5 minutes of California using the NOAA GOES-16 satellite. It then feeds a temporal and spatial cube of pixels into a neural net whose goal is to predict the infrared reading of the central pixel. 6/11

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

The algorithm also detected a hotspot at (34.190, -118.116) near the Eaton fire at 18:27 pm PST. This also seems consistent with the initial report (18:40 pm PST): www.cbsnews.com/live-updates.... The trigger was again quite loud, here's where it was detected: 5/11

A red tick shows the location of the detected fire trigger north of Pasadena.

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

This seems consistent with the initial report (also 10:30 am PST) from CBS news: www.cbsnews.com/live-updates.... The trigger was quite loud: (the x-axis is GMT+1 since that's my timezone, for PST subtract 9 hours). 4/11

A graph showing the signal (expected infared - true infared) for the Palsadies fire. The signal spikes at 10:30 am PST, indicating that when the algorithm detected the fire.

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

The triggers can be found here: www.fireneuralnetwork.com/hotspot, see trigger 59352 for the Palisades fire and 59353 for the Eaton fire. The algorithm detected a hotspot (59352) at (34.071, -118.556) near the Palisades fire at around 10:30 am PST. 3/11

fireneuralnetwork.com

Fire Neural Network

Web site for Fire Neural Network

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

Maybe it is helpful to some, though at this point perhaps the info is outdated (cons of living in GMT+1). First, please follow the instructions of your local authorities!! About the project: We found two triggers consistent with the Palisades and Eaton fires on www.fireneuralnetwork.com. 2/11

fireneuralnetwork.com

Fire Neural Network

Web site for Fire Neural Network

110

Nihar Gupte @nihar-gupte.bsky.social · 08/01/2025

Woke up this morning to see the sad news of the Palisades and Eaton fires. I hope everyone, their families, and pets are ok. I can't imagine what kind of anxiety it is wondering if your home is ok or not :( Here's some info on the fires based on a project I was working on in 2019. 1/11

141

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

Lastly here are some photos from the trip!

010

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

A few assorted sketches of Kiyomizudera and Kinkkaku-Ji. Kiyomizudera at night is so beautiful, with the red leaves. The water looks like it has a higher reflective index than even a mirror! Kinkakku-ji when the sun is setting is also beautiful, it looks like molten gold

110

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

I also drew the gundam near Odaiba on the south east side of Tokyo. Theres a shopping mall there, we hiked along random streets for a while and saw Tokyo from across the bridge. There’s also a couple street sketches of Shinjuku at night.

100

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

Some sketches from Ni-Jo castle in Kyoto. If you’ve ever seen the Shōgun TV series, this is where the meetings between the big shots happened. Of course, that’s also true in real life, it was the home of the Tokugawas in the Edo period. (Btw no photos allowed indoors, but drawings are ok 👌)

100

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

Here’s a couple sketches from Yokohama, a city south of main Tokyo. There’s a nice pier there with cute seagulls and large boats. There’s also a cup noodle museum near the pier, but I wasn’t too interested in that (I’ve had enough cup noodles for a lifetime already).

100

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

It’s also way easier to remember what you were doing, smelling or seeing when looking back at your old sketch compared to a photograph (or at least I find). I think it’s the time you spend studying the subject and also the tactile feeling of drawing.

100

Nihar Gupte @nihar-gupte.bsky.social · 15/12/2024

I visited #Tokyo, #Kyoto, #Osaka, #Nara and Mt. #Fuji for ~2 weeks. #Japan, is a cool place with amazing people! I do travel sketchbooking so I thought I would share my sketches. Usually, they’re scribbled at the sites in awkward positions, but the sketches feel way more organic that way.

1131

Nihar Gupte @nihar-gupte.bsky.social · 13/12/2024

There's a lot of themes this series touches on which are relevant to academia: how class affects the choice of research area, if your research be useful to people or interesting to yourself, and more. Maybe I'll make a longer tweet soon if there's interest.

010

Nihar Gupte @nihar-gupte.bsky.social · 13/12/2024

I want to compliment the way scientists are portrayed in the Netflix series #Arcane. They're portrayed as people *first* and scientists *second*. This leads to organic motivations and character development.

120