Embedded newform data - 784.4.a.bc.1.1

Formats: - HTML - YAML - JSON - 2024-04-30T01:02:53.023327

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 12544, 'analytic_conductor': 46.25749744450064, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [784, 1, [687, 197, 689], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 1929, 'field_disc_factorization': [[3, 1], [643, 1]], 'field_poly': [13, -10, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-9, -65, 1, 1]], [5, [1249, -109, -13, 1]]], 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633483536, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '784.4.a.bc', 'level': 784, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '56.4.i.a', 'nf_label': '3.3.1929.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{2}q^{3}+(4+\\beta _{1})q^{5}+(15+3\\beta _{1}-2\\beta _{2})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '784.4.a', 'trace_display': [0, -1, 13, 0], 'trace_hash': 991085409365422647, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.899', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.530', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '259.571', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, -1, 0, 13, 0, 0, 0, 50, 0, 11, 0, 70, 0, 41, 0, 97, 0, 81, 0, 0, 0, -191, 0, 12, 0, -115, 0, -162, 0, -597, 0, 343, 0, 0, 0, 217, 0, 806, 0, 698, 0, 308, 0, 1118, 0, -139, 0, 0, 0, -1475, 0, 197, 0, -147, 0, -1147, 0, -353, 0, 449, 0, 0, 0, 906, 0, 519, 0, 2557, 0, -224, 0, 1701, 0, 1132, 0, 0, 0, -1143, 0, 251, 0, 1380, 0, -1025, 0, -1458, 0, 1749, 0, 0, 0, -601, 0, 2167, 0, 2602, 0, -1094, 0, 209, 0, 521, 0, 0, 0, -327, 0, 2569, 0, 3645, 0, 26, 0, 1927, 0, 1316, 0, 0, 0, -2718, 0, 2394, 0, -549, 0, 984, 0, -2876, 0, 3213, 0, 0, 0, -901, 0, 4065, 0, 2684, 0, 1305, 0, 2142, 0, 978, 0, 0, 0, -3299, 0, 1019, 0, 166, 0, -5699, 0, -2275, 0, 3785, 0, 0, 0, 6405, 0, 3769, 0, 3068, 0, 621, 0, 9038, 0, 1353, 0, 0, 0, -4733, 0, -1973, 0, 2122, 0, -2587, 0, -2809, 0, -2527, 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0, -165542, 0, 362822, 0, -27335, 0, 208751, 0, -117647, 0, 61074, 0, 0, 0, -253471, 0, 480662, 0, -158943, 0, 90225, 0, -209237, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.3532864511791849, -0.2653068339104362, -0.1497806818935994, -0.33088832353350495, -0.2718360201141959, -0.16422235714058378, -0.25549073821353985, -0.24190141854541436, -0.25261946680179664, -0.22862851576459944, -0.18740894978896513, -0.18531794231154267, -0.12885164555911202, -0.1853248875884411, -0.1585995270469956, -0.19918632522110527, -0.22696682902433477, -0.14970713470216526, -0.28974414506253954, -0.20854915351282885, -0.22080382582945227, -0.08990073705331356, -0.17784254379774153, -0.2897566376158606, -0.15175780932216812, -0.2288353406286594, -0.07740498995790086, -0.23765785144499582, -0.24936802260206672, -0.21160251648593933, -0.30887117429955036, -0.24937379250880443, -0.3527694895318949, -0.31692024078789977, -0.1710304957356171, -0.18276156820685044, -0.3422184964059336, -0.2792240230628599, -0.13379494202064696, -0.38366189261237155, -0.28734051747674966, -0.2728876643251963, -0.22953201187232056, -0.2667358380052563, -0.08306957569481407, -0.16842881310239494, 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-0.33628173036004094, -0.3570730826185887, -0.3049674704574345, -0.2818883848190671, -0.23388287693153384, -0.3923291030033262, -0.16950720105830266, -0.2379274036817185, -0.22640300128466292, -0.18855210746956655, -0.09782237910816166, -0.2687279837276582, -0.436797709818229, -0.20466994751334497, -0.16720019136231454, -0.3645610735020557, -0.12068858203239682, -0.26446536837167856, -0.1437907435070155], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.3692200204732055, 'hecke_orbit': 29, 'hecke_orbit_code': 126100789633483536, 'label': '784.4.a.bc.1.1', 'level': 784, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[2, -1], [7, -1]], 15, 13], [[[2, 1], [7, -1]], 15, 9], [[[2, 1], [7, 1]], 16, 5], [[[2, -1], [7, 1]], 13, 7]], 'ALdims': [16, 15, 13, 15], 'Nk2': 12544, 'analytic_conductor': 46.25749744450064, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [784, 1, [687, 197, 689], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 312, 'dim': 59, 'eis_dim': 48, 'eis_new_dim': 5, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 67109648, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4], 'label': '784.4.a', 'level': 784, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 360, 'mf_new_dim': 64, 'num_forms': 34, 'plus_dim': 31, 'prim_orbit_index': 1, 'relative_dim': 59, 'sturm_bound': 448, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48689281
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789633483536, 'target_is_minimal': False, 'target_label': '784.4.a.bc.1.1', 'target_level': 784, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48689282
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45035996340814216, 'target_is_minimal': False, 'target_label': '392.4.a.k.1.3', 'target_level': 392, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48689283
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 81, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518547959775344, 'target_is_minimal': False, 'target_label': '112.4.i.f.81.3', 'target_level': 112, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48689284
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 65, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518547959775344, 'target_is_minimal': False, 'target_label': '112.4.i.f.65.3', 'target_level': 112, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48689285
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 130604389260854032, 'target_is_minimal': False, 'target_label': '784.4.a.bd.1.3', 'target_level': 784, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48689286
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 177, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58547344978739592, 'target_is_minimal': False, 'target_label': '392.4.i.n.177.3', 'target_level': 392, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48689287
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 9, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 549822922808, 'target_is_minimal': True, 'target_label': '56.4.i.a.9.1', 'target_level': 56, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48689288
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 361, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58547344978739592, 'target_is_minimal': False, 'target_label': '392.4.i.n.361.3', 'target_level': 392, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 48689289
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 25, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 549822922808, 'target_is_minimal': True, 'target_label': '56.4.i.a.25.1', 'target_level': 56, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 48689290
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713443720, 'target_is_minimal': False, 'target_label': '392.4.a.j.1.1', 'target_level': 392, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 48689291
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 65, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49540145723998656, 'target_is_minimal': False, 'target_label': '448.4.i.l.65.3', 'target_level': 448, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '56.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48689292
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 193, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036546096628160, 'target_is_minimal': False, 'target_label': '448.4.i.k.193.1', 'target_level': 448, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '56.37', 'twisting_conrey_index': 37, 'weight': 4}
  • id: 48689293
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 193, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49540145723998656, 'target_is_minimal': False, 'target_label': '448.4.i.l.193.3', 'target_level': 448, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '56.51', 'twisting_conrey_index': 51, 'weight': 4}
  • id: 48689294
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 65, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036546096628160, 'target_is_minimal': False, 'target_label': '448.4.i.k.65.1', 'target_level': 448, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '56.53', 'twisting_conrey_index': 53, 'weight': 4}
  • id: 48689295
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 289, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36030034036654584, 'target_is_minimal': False, 'target_label': '504.4.s.i.289.2', 'target_level': 504, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '84.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48689296
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 126100789633483536, 'source_is_minimal': False, 'source_label': '784.4.a.bc.1.1', 'source_level': 784, 'target_conrey_index': 361, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36030034036654584, 'target_is_minimal': False, 'target_label': '504.4.s.i.361.2', 'target_level': 504, 'twist_class_label': '56.4.i.a.9.1', 'twist_class_level': 56, 'twisting_char_label': '84.23', 'twisting_conrey_index': 23, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1328500
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 126100789633483536, 'p': 2}
  • id: 1328501
    {'charpoly_factorization': [[[-9, -65, 1, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 3}
  • id: 1328502
    {'charpoly_factorization': [[[1249, -109, -13, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 5}
  • id: 1328503
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 126100789633483536, 'p': 7}
  • id: 1328504
    {'charpoly_factorization': [[[8099, -577, -11, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 11}
  • id: 1328505
    {'charpoly_factorization': [[[17752, -1156, -70, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 13}
  • id: 1328506
    {'charpoly_factorization': [[[586557, -6245, -97, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 17}
  • id: 1328507
    {'charpoly_factorization': [[[123377, -10329, -81, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 19}
  • id: 1328508
    {'charpoly_factorization': [[[-3492279, -17297, 191, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 23}
  • id: 1328509
    {'charpoly_factorization': [[[-1324296, -7716, 162, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 29}
  • id: 1328510
    {'charpoly_factorization': [[[4663139, 103599, 597, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 31}
  • id: 1328511
    {'charpoly_factorization': [[[15110373, -77493, -217, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 37}
  • id: 1328512
    {'charpoly_factorization': [[[6465192, 90492, -698, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 41}
  • id: 1328513
    {'charpoly_factorization': [[[-38848, -7888, -308, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 43}
  • id: 1328514
    {'charpoly_factorization': [[[-18709731, -114417, 139, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 47}
  • id: 1328515
    {'charpoly_factorization': [[[-2914839, -59549, -197, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 53}
  • id: 1328516
    {'charpoly_factorization': [[[-37291113, -300449, 353, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 59}
  • id: 1328517
    {'charpoly_factorization': [[[-9942147, -318341, -449, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 61}
  • id: 1328518
    {'charpoly_factorization': [[[21323807, -356385, -519, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 67}
  • id: 1328519
    {'charpoly_factorization': [[[-7551488, -379456, 224, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 71}
  • id: 1328520
    {'charpoly_factorization': [[[-72721831, 691635, -1701, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 73}
  • id: 1328521
    {'charpoly_factorization': [[[-297161663, -352545, 1143, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 79}
  • id: 1328522
    {'charpoly_factorization': [[[-4797376, 475632, -1380, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 83}
  • id: 1328523
    {'charpoly_factorization': [[[155620521, 549843, -1749, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 89}
  • id: 1328524
    {'charpoly_factorization': [[[-528741144, 2094844, -2602, 1], 1]], 'hecke_orbit_code': 126100789633483536, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 29, 'label': '784.4.a.bc', 'level': 784, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 264050000
    {'hecke_orbit_code': 126100789633483536, 'n': 1, 'trace_an': 3}
  • id: 264050001
    {'hecke_orbit_code': 126100789633483536, 'n': 2, 'trace_an': 0}
  • id: 264050002
    {'hecke_orbit_code': 126100789633483536, 'n': 3, 'trace_an': -1}
  • id: 264050003
    {'hecke_orbit_code': 126100789633483536, 'n': 4, 'trace_an': 0}
  • id: 264050004
    {'hecke_orbit_code': 126100789633483536, 'n': 5, 'trace_an': 13}
  • id: 264050005
    {'hecke_orbit_code': 126100789633483536, 'n': 6, 'trace_an': 0}
  • id: 264050006
    {'hecke_orbit_code': 126100789633483536, 'n': 7, 'trace_an': 0}
  • id: 264050007
    {'hecke_orbit_code': 126100789633483536, 'n': 8, 'trace_an': 0}
  • id: 264050008
    {'hecke_orbit_code': 126100789633483536, 'n': 9, 'trace_an': 50}
  • id: 264050009
    {'hecke_orbit_code': 126100789633483536, 'n': 10, 'trace_an': 0}
  • id: 264050010
    {'hecke_orbit_code': 126100789633483536, 'n': 11, 'trace_an': 11}
  • id: 264050011
    {'hecke_orbit_code': 126100789633483536, 'n': 12, 'trace_an': 0}
  • id: 264050012
    {'hecke_orbit_code': 126100789633483536, 'n': 13, 'trace_an': 70}
  • id: 264050013
    {'hecke_orbit_code': 126100789633483536, 'n': 14, 'trace_an': 0}
  • id: 264050014
    {'hecke_orbit_code': 126100789633483536, 'n': 15, 'trace_an': 41}
  • id: 264050015
    {'hecke_orbit_code': 126100789633483536, 'n': 16, 'trace_an': 0}
  • id: 264050016
    {'hecke_orbit_code': 126100789633483536, 'n': 17, 'trace_an': 97}
  • id: 264050017
    {'hecke_orbit_code': 126100789633483536, 'n': 18, 'trace_an': 0}
  • id: 264050018
    {'hecke_orbit_code': 126100789633483536, 'n': 19, 'trace_an': 81}
  • id: 264050019
    {'hecke_orbit_code': 126100789633483536, 'n': 20, 'trace_an': 0}
  • id: 264050020
    {'hecke_orbit_code': 126100789633483536, 'n': 21, 'trace_an': 0}
  • id: 264050021
    {'hecke_orbit_code': 126100789633483536, 'n': 22, 'trace_an': 0}
  • id: 264050022
    {'hecke_orbit_code': 126100789633483536, 'n': 23, 'trace_an': -191}
  • id: 264050023
    {'hecke_orbit_code': 126100789633483536, 'n': 24, 'trace_an': 0}
  • id: 264050024
    {'hecke_orbit_code': 126100789633483536, 'n': 25, 'trace_an': 12}
  • id: 264050025
    {'hecke_orbit_code': 126100789633483536, 'n': 26, 'trace_an': 0}
  • id: 264050026
    {'hecke_orbit_code': 126100789633483536, 'n': 27, 'trace_an': -115}
  • id: 264050027
    {'hecke_orbit_code': 126100789633483536, 'n': 28, 'trace_an': 0}
  • id: 264050028
    {'hecke_orbit_code': 126100789633483536, 'n': 29, 'trace_an': -162}
  • id: 264050029
    {'hecke_orbit_code': 126100789633483536, 'n': 30, 'trace_an': 0}
  • id: 264050030
    {'hecke_orbit_code': 126100789633483536, 'n': 31, 'trace_an': -597}
  • id: 264050031
    {'hecke_orbit_code': 126100789633483536, 'n': 32, 'trace_an': 0}
  • id: 264050032
    {'hecke_orbit_code': 126100789633483536, 'n': 33, 'trace_an': 343}
  • id: 264050033
    {'hecke_orbit_code': 126100789633483536, 'n': 34, 'trace_an': 0}
  • id: 264050034
    {'hecke_orbit_code': 126100789633483536, 'n': 35, 'trace_an': 0}
  • id: 264050035
    {'hecke_orbit_code': 126100789633483536, 'n': 36, 'trace_an': 0}
  • id: 264050036
    {'hecke_orbit_code': 126100789633483536, 'n': 37, 'trace_an': 217}
  • id: 264050037
    {'hecke_orbit_code': 126100789633483536, 'n': 38, 'trace_an': 0}
  • id: 264050038
    {'hecke_orbit_code': 126100789633483536, 'n': 39, 'trace_an': 806}
  • id: 264050039
    {'hecke_orbit_code': 126100789633483536, 'n': 40, 'trace_an': 0}
  • id: 264050040
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