Search Results for author: Siddharth Mishra-Sharma

Found 20 papers, 18 papers with code

PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models

1 code implementation13 Mar 2024 Siddharth Mishra-Sharma, Yiding Song, Jesse Thaler

We present PAPERCLIP (Proposal Abstracts Provide an Effective Representation for Contrastive Language-Image Pre-training), a method which associates astronomical observations imaged by telescopes with natural language using a neural network model.

Image Retrieval Natural Language Queries +1

A point cloud approach to generative modeling for galaxy surveys at the field level

1 code implementation28 Nov 2023 Carolina Cuesta-Lazaro, Siddharth Mishra-Sharma

We introduce a diffusion-based generative model to describe the distribution of galaxies in our Universe directly as a collection of points in 3-D space (coordinates) optionally with associated attributes (e. g., velocities and masses), without resorting to binning or voxelization.

Data Compression and Inference in Cosmology with Self-Supervised Machine Learning

1 code implementation18 Aug 2023 Aizhan Akhmetzhanova, Siddharth Mishra-Sharma, Cora Dvorkin

The influx of massive amounts of data from current and upcoming cosmological surveys necessitates compression schemes that can efficiently summarize the data with minimal loss of information.

Data Compression

Hierarchical Neural Simulation-Based Inference Over Event Ensembles

1 code implementation21 Jun 2023 Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer

When analyzing real-world data it is common to work with event ensembles, which comprise sets of observations that collectively constrain the parameters of an underlying model of interest.

Uncovering dark matter density profiles in dwarf galaxies with graph neural networks

1 code implementation26 Aug 2022 Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, Lina Necib

Dwarf galaxies are small, dark matter-dominated galaxies, some of which are embedded within the Milky Way.

Strong Lensing Source Reconstruction Using Continuous Neural Fields

1 code implementation29 Jun 2022 Siddharth Mishra-Sharma, Ge Yang

From the nature of dark matter to the rate of expansion of our Universe, observations of distant galaxies distorted through strong gravitational lensing have the potential to answer some of the major open questions in astrophysics.

A neural simulation-based inference approach for characterizing the Galactic Center $γ$-ray excess

1 code implementation13 Oct 2021 Siddharth Mishra-Sharma, Kyle Cranmer

The nature of the Fermi gamma-ray Galactic Center Excess (GCE) has remained a persistent mystery for over a decade.

Density Estimation

Inferring dark matter substructure with astrometric lensing beyond the power spectrum

1 code implementation4 Oct 2021 Siddharth Mishra-Sharma

Astrometry -- the precise measurement of positions and motions of celestial objects -- has emerged as a promising avenue for characterizing the dark matter population in our Galaxy.

Semi-parametric $γ$-ray modeling with Gaussian processes and variational inference

1 code implementation20 Oct 2020 Siddharth Mishra-Sharma, Kyle Cranmer

Mismodeling the uncertain, diffuse emission of Galactic origin can seriously bias the characterization of astrophysical gamma-ray data, particularly in the region of the Inner Milky Way where such emission can make up over 80% of the photon counts observed at ~GeV energies.

Gaussian Processes Variational Inference

Edges and Endpoints in 21-cm Observations from Resonant Photon Production

2 code implementations8 Sep 2020 Andrea Caputo, Hongwan Liu, Siddharth Mishra-Sharma, Maxim Pospelov, Joshua T. Ruderman, Alfredo Urbano

Within the context of a kinetically mixed dark photon, we demonstrate how resonant dark photon-to-photon conversions can imprint distinctive spectral features in the observed 21-cm brightness temperature, with implications for current, upcoming, and proposed experiments targeting the cosmic dawn and the dark ages.

Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology

Modeling Dark Photon Oscillations in Our Inhomogeneous Universe

2 code implementations14 Apr 2020 Andrea Caputo, Hongwan Liu, Siddharth Mishra-Sharma, Joshua T. Ruderman

A dark photon may kinetically mix with the Standard Model photon, leading to observable cosmological signatures.

Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology

The Power of Halometry

2 code implementations4 Mar 2020 Siddharth Mishra-Sharma, Ken Van Tilburg, Neal Weiner

Astrometric weak gravitational lensing is a powerful probe of the distribution of matter on sub-Galactic scales, which harbor important information about the fundamental nature of dark matter.

Cosmology and Nongalactic Astrophysics High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics High Energy Physics - Phenomenology

Dark Photon Oscillations in Our Inhomogeneous Universe

2 code implementations12 Feb 2020 Andrea Caputo, Hongwan Liu, Siddharth Mishra-Sharma, Joshua T. Ruderman

A dark photon may kinetically mix with the ordinary photon, inducing oscillations with observable imprints on cosmology.

Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology

Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning

3 code implementations4 Sep 2019 Johann Brehmer, Siddharth Mishra-Sharma, Joeri Hermans, Gilles Louppe, Kyle Cranmer

The subtle and unique imprint of dark matter substructure on extended arcs in strong lensing systems contains a wealth of information about the properties and distribution of dark matter on small scales and, consequently, about the underlying particle physics.

BIG-bench Machine Learning

Extragalactic Searches for Dark Matter Annihilation

1 code implementation12 Sep 2018 Siddharth Mishra-Sharma

This framework is then applied to Fermi data and existing group catalogs to search for annihilating dark matter in extragalactic galaxies and clusters.

Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology

Mapping Extragalactic Dark Matter Annihilation with Galaxy Surveys: A Systematic Study of Stacked Group Searches

no code implementations1 Sep 2017 Mariangela Lisanti, Siddharth Mishra-Sharma, Nicholas L. Rodd, Benjamin R. Safdi, Risa H. Wechsler

Applying this procedure to a catalog of sources, one can create a full-sky map of the brightest extragalactic dark matter targets in the nearby Universe ($z\lesssim 0. 03$), supplementing sources of dark matter annihilation from within the Local Group.

Cosmology and Nongalactic Astrophysics High Energy Astrophysical Phenomena High Energy Physics - Phenomenology

A Search for Dark Matter Annihilation in Galaxy Groups

1 code implementation30 Aug 2017 Mariangela Lisanti, Siddharth Mishra-Sharma, Nicholas L. Rodd, Benjamin R. Safdi

We use 413 weeks of publicly-available $\textit{Fermi}$ Pass 8 gamma-ray data, combined with recently-developed galaxy group catalogs, to search for evidence of dark matter annihilation in extragalactic halos.

Cosmology and Nongalactic Astrophysics High Energy Astrophysical Phenomena High Energy Physics - Phenomenology

NPTFit: A code package for Non-Poissonian Template Fitting

1 code implementation9 Dec 2016 Siddharth Mishra-Sharma, Nicholas L. Rodd, Benjamin R. Safdi

The NPTF was first applied to Fermi gamma-ray data to give evidence that the excess of ~GeV gamma-rays observed in the inner regions of the Milky Way likely arises from a population of sub-threshold point sources, and the NPTF has since found additional applications studying sub-threshold extragalactic sources at high Galactic latitudes.

High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics High Energy Physics - Phenomenology

Cannot find the paper you are looking for? You can Submit a new open access paper.