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researcher

T. Schroder

4 papers hereh-index 3774 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE1
  • hep-ph1
  • q-bio.QM1
  • stat.AP1
same name
  • T. Schroder — 16 papers, h 8
  • T. Schroder — 2 papers, h 5
  • T. Schroder — 1 paper, h 6
  • T. Schroder — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedThe NANOGrav 15-year Data Set: Search for Signals from New Physics

801 citations · 805 across the 3 of their papers we have counts for

collaborators

4 papers

hep-ph2023

PTArcade

Andrea Mitridate, David Wright, Richard von Eckardstein +5

This is a lightweight manual for PTArcade, a wrapper of ENTERPRISE and ceffyl that allows for easy implementation of new-physics searches in PTA data. In this manual, we describe h…

astro-ph.HE2023★ 801 cited

The NANOGrav 15-year Data Set: Search for Signals from New Physics

Adeela Afzal, Gabriella Agazie, Akash Anumarlapudi +120

The 15-year pulsar timing data set collected by the North American Nanohertz Observatory for Gravitational Waves (NANOGrav) shows positive evidence for the presence of a low-freque…

stat.AP2022★ 1 cited

How is model-related uncertainty quantified and reported in different disciplines?

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen +40

How do we know how much we know? Quantifying uncertainty associated with our modelling work is the only way we can answer how much we know about any phenomenon. With quantitative s…

q-bio.QM2016★ 3 cited

Human brain parcellation using time courses of instantaneous connectivity

Erik S. B. van Oort, Maarten Mennes, Tobias Navarro Schröder +5

Functional neuroimaging studies have lead to understanding the brain as a collection of spatially segregated functional networks. It is thought that each of these networks is in tu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.