Nihar Gupte

@nihar-gupte.bsky.social

PhD student at the Max Planck for Gravitational Physics in Potsdam and University of Maryland. Working on ML for Gravitational waves and astrophysical populations. Trying to summarize that papers I read

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 👾

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!

Annalena Kofler@annalenakofler.bsky.social · 9mo ago

8/ 📉 Without DINGO-T1, all these analyses would have required training 94 separate DINGO models. Instead, we train once—and adapt across settings.

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).

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...

arxiv.org

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.

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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.

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!

LIGO Scientific Collaboration@ligo.org · 12mo ago

Results from the first part of our fourth LIGO @egovirgo.bsky.social KAGRA observing run are out today! We're pleased to share the largest catalog of gravitational-wave observations with more discoveries of black holes and neutron stars 📰 arxiv.org/abs/2508.18082 🔭🧪⚛️☄️ #GWTC4

New masses in the stellar graveyard plot, showing astronomical observations of black holes and neutron stars. The number of gravitational-wave observations of black holes is overwhelming. The plot is arranged to look nice, the horizontal axis has no meaning, but the vertical one shows masses. We have a significant range of masses from about 1 solar mass to over 200 solar masses for our largest merger remnant. New out today is a neutron star black hole binary GW230518_125908, as well as a lot of binary black holes.

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.

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...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.

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