Embedded newform data - 768.4.a.r.1.2

Formats: - HTML - YAML - JSON - 2024-04-18T09:14:04.020964

• 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': 12288, 'analytic_conductor': 45.31346688440879, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 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': [768, 1, [511, 517, 257], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 3, 'field_disc': 1436, 'field_disc_factorization': [[2, 2], [359, 1]], 'field_poly': [-12, -11, 0, 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': [[5, [104, -164, -10, 1]], [7, [-5816, -580, 14, 1]], [11, [-49152, -2816, 0, 1]], [19, [274752, -11088, 28, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561193732408064, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 32, 'hecke_ring_index_factorization': [[2, 5]], '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': '768.4.a.r', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '24.4.d.a', 'nf_label': '3.3.1436.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{3}+(3+\\beta _{2})q^{5}+(-5+\\beta _{1})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '768.4.a', 'trace_display': [0, -9, 10, -14], 'trace_hash': 1857421685529162530, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.793', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.019', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '209.736', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, -9, 0, 10, 0, -14, 0, 27, 0, 0, 0, 52, 0, -30, 0, 26, 0, -28, 0, 42, 0, -164, 0, 53, 0, -81, 0, 174, 0, -318, 0, 0, 0, 92, 0, 296, 0, -156, 0, -118, 0, 260, 0, 90, 0, -204, 0, 327, 0, -78, 0, 1086, 0, -512, 0, 84, 0, -196, 0, 1536, 0, -126, 0, -872, 0, 660, 0, 492, 0, 852, 0, -478, 0, -159, 0, 2304, 0, -22, 0, 243, 0, -1136, 0, 2732, 0, -522, 0, 110, 0, 632, 0, 954, 0, 2552, 0, -1222, 0, 0, 0, 2830, 0, 662, 0, -276, 0, -756, 0, 2636, 0, -888, 0, 2574, 0, -824, 0, 468, 0, 3292, 0, 1639, 0, 354, 0, 3108, 0, 254, 0, -780, 0, 2380, 0, 3544, 0, -270, 0, -102, 0, -2180, 0, 612, 0, 3840, 0, 2276, 0, -981, 0, 2946, 0, -2206, 0, 234, 0, 3260, 0, 3352, 0, -3258, 0, -1816, 0, 2908, 0, 1536, 0, 4664, 0, -1679, 0, -252, 0, 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• 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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[0.290557040672486, 0.0], [0.0, 0.0], [-1.0183205742265453, 0.0], [0.0, 0.0], [-0.05812039087546216, 0.0], [0.0, 0.0], [0.06366185267943325, 0.0], [0.0, 0.0], [-1.875980613236459, 0.0], [0.0, 0.0], [0.6376823824891453, 0.0], [0.0, 0.0], [0.10559704152672143, 0.0], [0.0, 0.0], [0.0127552121672554, 0.0], [0.0, 0.0], [-0.4488955385035707, 0.0], [0.0, 0.0], [-0.13680422201430123, 0.0], [0.0, 0.0], [0.31901029523491126, 0.0], [0.0, 0.0], [-1.8416393108753202, 0.0], [0.0, 0.0], [0.6497174392726375, 0.0], [0.0, 0.0], [0.39851113116028924, 0.0], [0.0, 0.0], [-0.0793393604393988, 0.0], [0.0, 0.0], [0.1748717809531226, 0.0], [0.0, 0.0], [-1.5426810524982657, 0.0], [0.0, 0.0], [-0.0947164543001902, 0.0], [0.0, 0.0], [-0.28410893990029795, 0.0], [0.0, 0.0], [0.8322342775807848, 0.0], [0.0, 0.0], [-0.028603880736581908, 0.0], [0.0, 0.0], [-0.20310909196279503, 0.0], [0.0, 0.0], [-0.05106335522200188, 0.0], [0.0, 0.0], [0.14162916494453853, 0.0], [0.0, 0.0], [-0.34917693759518137, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.2456387616647847, -0.14477284183665617, -0.0953316058832946, -0.15456024506222665, -0.1953882738661604, -0.2218304079975658, -0.33265454084201684, -0.2553131150242109, -0.36050379943235694, -0.06911210719915965, -0.12945173907691437, -0.3188478109930103, -0.21789576465762694, -0.22560535289013664, -0.29682869077480734, -0.20367160063744985, -0.23701221324037472, -0.20268123144282063, -0.3202091282549214, -0.2689210916852599, -0.2884625923068029, -0.25382260214948493, -0.30214960551549797, -0.09694127971656795, -0.28039577372999724, -0.22468394117215862, -0.2077582350779393, -0.21687439656158009, -0.14177679610719834, -0.18899741774414192, -0.3883326389099398, -0.3849278926531695, -0.15285538685208835, -0.29600375524657596, -0.0993096044988978, -0.28261073397152764, -0.14571268622570668, -0.23494507393033787, -0.3012663637855595, -0.12791094924921123, -0.3389630049358459, -0.23143487704915758, -0.4160974194036629, -0.3271387899625496, -0.2959632090902614, 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-0.33644828104132624, -0.32784764147248613, -0.3748668200579678, -0.19056313251418616, -0.3253169287303355, -0.1225569615675697, -0.37077579503154495, -0.3833791109575933, -0.3764149070936188, -0.1829804631607202, -0.3345156610143227, -0.1412955463704259, -0.1650236282248062, -0.1903742064717117, -0.3223463630667213, -0.20223312783515815, -0.26009947919839294, -0.29951188969477144, -0.46594268552577167, -0.19196330329155817, -0.4597021092095021, -0.05589560145774202, -0.3350219807295592, -0.28602890873105186, -0.22450507112185453, -0.21807380578152508, -0.39020672227134273, -0.25227630211114177, -0.23872006813826116], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 3.766435483852705, 'hecke_orbit': 18, 'hecke_orbit_code': 76561193732408064, 'label': '768.4.a.r.1.2', 'level': 768, '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], [3, -1]], 14, 6], [[[2, 1], [3, -1]], 10, 5], [[[2, -1], [3, 1]], 12, 5], [[[2, 1], [3, 1]], 12, 6]], 'ALdims': [12, 10, 12, 14], 'Nk2': 12288, 'analytic_conductor': 45.31346688440879, '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': [768, 1, [511, 517, 257], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 360, 'dim': 48, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 19], 'hecke_orbit_code': 67109632, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '768.4.a', 'level': 768, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 408, 'mf_new_dim': 48, 'num_forms': 22, 'plus_dim': 26, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 512, 'trace_bound': 11, 'trace_display': 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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: 48134879
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561193732408064, 'target_is_minimal': False, 'target_label': '768.4.a.r.1.2', 'target_level': 768, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48134880
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 202661983298783488, 'target_is_minimal': False, 'target_label': '2304.4.a.bt.1.2', 'target_level': 2304, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48134881
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568392987149056, 'target_is_minimal': False, 'target_label': '768.4.a.t.1.2', 'target_level': 768, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48134882
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057594105037568, 'target_is_minimal': False, 'target_label': '768.4.a.q.1.2', 'target_level': 768, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48134883
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793359778560, 'target_is_minimal': False, 'target_label': '768.4.a.s.1.2', 'target_level': 768, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48134884
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 207165582926153984, 'target_is_minimal': False, 'target_label': '2304.4.a.bu.1.2', 'target_level': 2304, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48134885
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 49, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 206225539168, 'target_is_minimal': False, 'target_label': '96.4.d.a.49.5', 'target_level': 96, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48134886
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 13, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 206225539096, 'target_is_minimal': True, 'target_label': '24.4.d.a.13.5', 'target_level': 24, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48134887
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 49, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 206225539168, 'target_is_minimal': False, 'target_label': '96.4.d.a.49.2', 'target_level': 96, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48134888
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 13, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 206225539096, 'target_is_minimal': True, 'target_label': '24.4.d.a.13.6', 'target_level': 24, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 48134889
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 211669182553524480, 'target_is_minimal': False, 'target_label': '2304.4.a.bv.1.2', 'target_level': 2304, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48134890
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 216172782180894976, 'target_is_minimal': False, 'target_label': '2304.4.a.bw.1.2', 'target_level': 2304, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48134891
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 37, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005107650632, 'target_is_minimal': False, 'target_label': '72.4.d.d.37.2', 'target_level': 72, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48134892
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 145, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511005107650848, 'target_is_minimal': False, 'target_label': '288.4.d.d.145.3', 'target_level': 288, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48134893
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 37, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005107650632, 'target_is_minimal': False, 'target_label': '72.4.d.d.37.1', 'target_level': 72, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 48134894
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 76561193732408064, 'source_is_minimal': False, 'source_label': '768.4.a.r.1.2', 'source_level': 768, 'target_conrey_index': 145, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13511005107650848, 'target_is_minimal': False, 'target_label': '288.4.d.d.145.4', 'target_level': 288, 'twist_class_label': '24.4.d.a.13.5', 'twist_class_level': 24, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1302600
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 76561193732408064, 'p': 2}
  • id: 1302601
    {'charpoly_factorization': [[[3, 1], 3]], 'hecke_orbit_code': 76561193732408064, 'p': 3}
  • id: 1302602
    {'charpoly_factorization': [[[104, -164, -10, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 5}
  • id: 1302603
    {'charpoly_factorization': [[[-5816, -580, 14, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 7}
  • id: 1302604
    {'charpoly_factorization': [[[-49152, -2816, 0, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 11}
  • id: 1302605
    {'charpoly_factorization': [[[55872, -1104, -52, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 13}
  • id: 1302606
    {'charpoly_factorization': [[[477576, -11124, -26, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 17}
  • id: 1302607
    {'charpoly_factorization': [[[274752, -11088, 28, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 19}
  • id: 1302608
    {'charpoly_factorization': [[[45504, 6384, 164, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 23}
  • id: 1302609
    {'charpoly_factorization': [[[61368, 3964, -174, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 29}
  • id: 1302610
    {'charpoly_factorization': [[[-3749624, 4476, 318, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 31}
  • id: 1302611
    {'charpoly_factorization': [[[82944, -46080, -296, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 37}
  • id: 1302612
    {'charpoly_factorization': [[[-19985976, -117300, 118, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 41}
  • id: 1302613
    {'charpoly_factorization': [[[8601408, -80976, -260, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 43}
  • id: 1302614
    {'charpoly_factorization': [[[-1964736, -27792, 204, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 47}
  • id: 1302615
    {'charpoly_factorization': [[[-20665224, 289468, -1086, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 53}
  • id: 1302616
    {'charpoly_factorization': [[[-8523584, -50000, 196, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 59}
  • id: 1302617
    {'charpoly_factorization': [[[-104841216, 728640, -1536, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 61}
  • id: 1302618
    {'charpoly_factorization': [[[32228928, -309456, -660, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 67}
  • id: 1302619
    {'charpoly_factorization': [[[85084992, -66960, -852, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 71}
  • id: 1302620
    {'charpoly_factorization': [[[-120833304, -255956, 478, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 73}
  • id: 1302621
    {'charpoly_factorization': [[[-7902616, -71524, 22, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 79}
  • id: 1302622
    {'charpoly_factorization': [[[37953536, 385024, 1136, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 83}
  • id: 1302623
    {'charpoly_factorization': [[[-1423656, -41364, -110, 1], 1]], 'hecke_orbit_code': 76561193732408064, 'p': 89}
  • id: 1302624
    {'charpoly_factorization': [[[-74802424, 251660, 1222, 1], 1]], 'hecke_orbit_code': 76561193732408064, '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': 18, 'label': '768.4.a.r', 'level': 768, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 242990000
    {'hecke_orbit_code': 76561193732408064, 'n': 1, 'trace_an': 3}
  • id: 242990001
    {'hecke_orbit_code': 76561193732408064, 'n': 2, 'trace_an': 0}
  • id: 242990002
    {'hecke_orbit_code': 76561193732408064, 'n': 3, 'trace_an': -9}
  • id: 242990003
    {'hecke_orbit_code': 76561193732408064, 'n': 4, 'trace_an': 0}
  • id: 242990004
    {'hecke_orbit_code': 76561193732408064, 'n': 5, 'trace_an': 10}
  • id: 242990005
    {'hecke_orbit_code': 76561193732408064, 'n': 6, 'trace_an': 0}
  • id: 242990006
    {'hecke_orbit_code': 76561193732408064, 'n': 7, 'trace_an': -14}
  • id: 242990007
    {'hecke_orbit_code': 76561193732408064, 'n': 8, 'trace_an': 0}
  • id: 242990008
    {'hecke_orbit_code': 76561193732408064, 'n': 9, 'trace_an': 27}
  • id: 242990009
    {'hecke_orbit_code': 76561193732408064, 'n': 10, 'trace_an': 0}
  • id: 242990010
    {'hecke_orbit_code': 76561193732408064, 'n': 11, 'trace_an': 0}
  • id: 242990011
    {'hecke_orbit_code': 76561193732408064, 'n': 12, 'trace_an': 0}
  • id: 242990012
    {'hecke_orbit_code': 76561193732408064, 'n': 13, 'trace_an': 52}
  • id: 242990013
    {'hecke_orbit_code': 76561193732408064, 'n': 14, 'trace_an': 0}
  • id: 242990014
    {'hecke_orbit_code': 76561193732408064, 'n': 15, 'trace_an': -30}
  • id: 242990015
    {'hecke_orbit_code': 76561193732408064, 'n': 16, 'trace_an': 0}
  • id: 242990016
    {'hecke_orbit_code': 76561193732408064, 'n': 17, 'trace_an': 26}
  • id: 242990017
    {'hecke_orbit_code': 76561193732408064, 'n': 18, 'trace_an': 0}
  • id: 242990018
    {'hecke_orbit_code': 76561193732408064, 'n': 19, 'trace_an': -28}
  • id: 242990019
    {'hecke_orbit_code': 76561193732408064, 'n': 20, 'trace_an': 0}
  • id: 242990020
    {'hecke_orbit_code': 76561193732408064, 'n': 21, 'trace_an': 42}
  • id: 242990021
    {'hecke_orbit_code': 76561193732408064, 'n': 22, 'trace_an': 0}
  • id: 242990022
    {'hecke_orbit_code': 76561193732408064, 'n': 23, 'trace_an': -164}
  • id: 242990023
    {'hecke_orbit_code': 76561193732408064, 'n': 24, 'trace_an': 0}
  • id: 242990024
    {'hecke_orbit_code': 76561193732408064, 'n': 25, 'trace_an': 53}
  • id: 242990025
    {'hecke_orbit_code': 76561193732408064, 'n': 26, 'trace_an': 0}
  • id: 242990026
    {'hecke_orbit_code': 76561193732408064, 'n': 27, 'trace_an': -81}
  • id: 242990027
    {'hecke_orbit_code': 76561193732408064, 'n': 28, 'trace_an': 0}
  • id: 242990028
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  • id: 242990974
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  • id: 242990975
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  • id: 242990976
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  • id: 242990977
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  • id: 242990978
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  • id: 242990979
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  • id: 242990980
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  • id: 242990981
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  • id: 242990982
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  • id: 242990983
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  • id: 242990984
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  • id: 242990985
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  • id: 242990986
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  • id: 242990987
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  • id: 242990988
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  • id: 242990989
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  • id: 242990990
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  • id: 242990991
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  • id: 242990992
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  • id: 242990993
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  • id: 242990994
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  • id: 242990995
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  • id: 242990996
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  • id: 242990997
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  • id: 242990998
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  • id: 242990999
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