Gregory-Loredo Algorithm

No algorithm description given

Computes the Gregory-Loredo algorithm on a list of arrival times This function computes the likelihood of a set of arrival times originating from a periodic process rather than constant rate (Poisson) process (e.g. background noise). based on Gregory, P. C. and Thomas. J. Loredo, 1992, "A New Method For The Detection Of A Periodic Signal Of Unknown Shape And Period" in The Astrophysical Journal, Astrophysical J., 398, p.146 Inputs Tlist (required)- a list of arrival times m_max  (optional, default m_max=12) - number of phase bins w_range (optional, default min(20,N/10)*pi/T, N= number of arrival times, T= max(Tlist)) - frequency range to scan for periodicity ni (optional, default ni=10) - number of bins for numerical integration of the phase from 0:2pi/m parallel (optional, default parallel=False) - parallel execution flag Outputs O_period - odds ratio for periodic process p_period - probability of periodic process (0<=p_period<=1) m_opt - optimal bin size S - spectrum for m_opt w - frequency range of S w_peak - most likely frequency w_mean - mean frequency w_conf - 95% confidence interval of frequency   Other sample inputs:  {"Tlist" : [80,921,2281,5831,6095,7703,8205,8761,11010,11095,14201,22531], "m_max" : 5} {"Tlist" : [80,921,2281,5831,6095,7703,8205,8761,11010,11095,14201,22531],"m_max" :5, "ni" : 20}

(no tags)

Cost Breakdown

10 cr
royalty per call
1 cr
usage per second
avg duration

Cost Calculator

API call duration (sec)
API calls
Estimated cost
per calls
for large volume discounts
For additional details on how pricing works, see Algorithmia pricing.

No permissions required

This algorithm does not require any special permissions.

To understand more about how algorithm permissions work, see the permissions documentation.

1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY'
View cURL Docs
algo auth
algo run algo://fdarvas/GregoryLoredoAlgorithm/0.2.0 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://fdarvas/GregoryLoredoAlgorithm/0.2.0")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://fdarvas/GregoryLoredoAlgorithm/0.2.0");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://fdarvas/GregoryLoredoAlgorithm/0.2.0")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://fdarvas/GregoryLoredoAlgorithm/0.2.0");
var response = algorithm.pipe<object>(input);
View .NET/C# Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('fdarvas/GregoryLoredoAlgorithm/0.2.0')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("fdarvas/GregoryLoredoAlgorithm/0.2.0")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('fdarvas/GregoryLoredoAlgorithm/0.2.0')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("fdarvas/GregoryLoredoAlgorithm/0.2.0");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "fdarvas/GregoryLoredoAlgorithm/0.2.0") { resp, error in
View Swift Docs
  • {{comment.username}}