Embedded newform data - 3640.2.a.y.1.4

Formats: - HTML - YAML - JSON - 2024-04-24T04:17:56.838435

• 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': 14560, 'analytic_conductor': 29.06554633574606, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [7, -1], [13, 1]], 'atkin_lehner_string': '-+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3640, 1, [911, 1821, 1457, 521, 561], [1, 1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 5, 'field_disc': 1194649, 'field_disc_factorization': [[1093, 2]], 'field_poly': [4, 10, -3, -8, 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': [[3, [-4, 10, 3, -8, 0, 1]], [11, [64, 96, -84, -10, 7, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090449976, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': True, 'label': '3640.2.a.y', 'level': 3640, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7, 13], 'level_radical': 910, 'minimal_twist': '3640.2.a.y', 'nf_label': '5.5.1194649.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}-q^{5}+q^{7}+(\\beta _{1}+\\beta _{2})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3640.2.a', 'trace_display': [0, 0, -5, 5], 'trace_hash': 906691026067117984, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.793', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.514', 'prec': 17}, {'__RealLiteral__': 0, 'data': '63.377', 'prec': 20}, {'__RealLiteral__': 0, 'data': '20.752', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1291.355', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [5, 0, 0, 0, -5, 0, 5, 0, 1, 0, -7, 0, -5, 0, 0, 0, 1, 0, 3, 0, 0, 0, -5, 0, 5, 0, -9, 0, -9, 0, 6, 0, 1, 0, -5, 0, -10, 0, 0, 0, -8, 0, 6, 0, -1, 0, -13, 0, 5, 0, -4, 0, -16, 0, 7, 0, -10, 0, -1, 0, -11, 0, 1, 0, 5, 0, -30, 0, -15, 0, -12, 0, 23, 0, 0, 0, -7, 0, 2, 0, -11, 0, -2, 0, -1, 0, -5, 0, -25, 0, -5, 0, -22, 0, -3, 0, -5, 0, -12, 0, -21, 0, 11, 0, 0, 0, -14, 0, -6, 0, -4, 0, -11, 0, 5, 0, -1, 0, 1, 0, 14, 0, -7, 0, -5, 0, -21, 0, -24, 0, 12, 0, 3, 0, 9, 0, -17, 0, -10, 0, -45, 0, 7, 0, 9, 0, 0, 0, -39, 0, 2, 0, -40, 0, -6, 0, -14, 0, 38, 0, -5, 0, -19, 0, -1, 0, -26, 0, 5, 0, 48, 0, -21, 0, 5, 0, 17, 0, -17, 0, -51, 0, 33, 0, 10, 0, -2, 0, -9, 0, 1, 0, -41, 0, 0, 0, -44, 0, 56, 0, 35, 0, -9, 0, 8, 0, -46, 0, -74, 0, 15, 0, 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0, 60, 0, 171, 0, 13, 0, -21, 0, -197, 0, 2, 0, -15, 0, 0, 0, -80, 0, -19, 0, -4, 0, 102, 0, -24, 0, -171, 0, 11, 0, -1, 0, 107, 0, 210, 0, 56, 0, 35, 0, -28, 0, 54, 0, 4, 0, 74, 0, -58, 0, -18, 0, 31, 0, -14, 0, 14, 0, -88, 0, -6, 0, -98, 0, 3, 0, 12, 0, -64, 0, -82, 0, 222, 0, 48, 0, 100, 0, 35, 0, 1, 0, 39, 0, -92, 0, 5, 0, -2, 0, -28, 0, 308, 0, -11, 0, -61, 0, 167, 0, -9, 0, -73, 0, 218, 0], 'weight': 2, '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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.7644090364791474, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [0.37796447300922725, 0.0], [0.0, 0.0], [-0.41567882494902153, 0.0], [0.0, 0.0], [0.7676772717813818, 0.0], [0.0, 0.0], [-0.2773500981126146, 0.0], [0.0, 0.0], [-0.34185411363649804, 0.0], [0.0, 0.0], [-0.9521688610408985, 0.0], [0.0, 0.0], [-1.0996203416306318, 0.0], [0.0, 0.0], [0.2889194586363321, 0.0], [0.0, 0.0], [-0.9800208943818728, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [-1.0821576865432132, 0.0], [0.0, 0.0], [0.802547051342118, 0.0], [0.0, 0.0], [1.5039919278461011, 0.0], [0.0, 0.0], [0.5868194436493466, 0.0], [0.0, 0.0], [-0.1690308509457033, 0.0], [0.0, 0.0], [-0.279011960229068, 0.0], [0.0, 0.0], [-0.2120089212656607, 0.0], [0.0, 0.0], [0.7566866246313105, 0.0], [0.0, 0.0], [-1.8023459380436335, 0.0], [0.0, 0.0], [0.18589722187864954, 0.0], [0.0, 0.0], [-1.5783933804954318, 0.0], [0.0, 0.0], [0.14285714285714285, 0.0], [0.0, 0.0], 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-0.20911925451660898, -0.19892504315477824, -0.17977781556316158, -0.239119879135227, -0.44167085302169845, -0.4097347002990682, -0.250031583092193, -0.24040562343317837, -0.10315632362630439, -0.3615442067946463, -0.4473231825072168, -0.22253329942883074, -0.14421216926272362, -0.30517100198207, -0.22837384595485943, -0.1725303645972465, -0.22719029447130842, -0.17214376126691033, -0.06651698247445514, -0.35599677389830026, -0.23787123241454936, -0.1930546670718031], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.3239952889466546, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090449976, 'label': '3640.2.a.y.1.4', 'level': 3640, 'weight': 2}
• 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], [5, -1], [7, -1], [13, -1]], 3, 2], [[[2, 1], [5, -1], [7, 1], [13, 1]], 5, 3], [[[2, -1], [5, 1], [7, -1], [13, 1]], 5, 1], [[[2, 1], [5, -1], [7, -1], [13, -1]], 7, 1], [[[2, 1], [5, 1], [7, -1], [13, -1]], 4, 1], [[[2, -1], [5, 1], [7, 1], [13, -1]], 4, 2], [[[2, -1], [5, -1], [7, 1], [13, -1]], 6, 2], [[[2, -1], [5, 1], [7, 1], [13, 1]], 4, 1], [[[2, 1], [5, -1], [7, 1], [13, -1]], 4, 1], [[[2, 1], [5, 1], [7, 1], [13, -1]], 4, 1], [[[2, 1], [5, -1], [7, -1], [13, 1]], 3, 2], [[[2, -1], [5, 1], [7, -1], [13, -1]], 4, 1], [[[2, -1], [5, -1], [7, -1], [13, 1]], 5, 1], [[[2, 1], [5, 1], [7, 1], [13, 1]], 6, 3], [[[2, -1], [5, -1], [7, 1], [13, 1]], 3, 2], [[[2, 1], [5, 1], [7, -1], [13, 1]], 5, 3]], 'ALdims': [6, 4, 5, 4, 5, 4, 3, 7, 4, 4, 5, 4, 3, 6, 5, 3], 'Nk2': 14560, 'analytic_conductor': 29.06554633574606, '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': [3640, 1, [911, 1821, 1457, 521, 561], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 657, 'dim': 72, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 33558072, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 7], 'label': '3640.2.a', 'level': 3640, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7, 13], 'level_radical': 910, 'mf_dim': 688, 'mf_new_dim': 72, 'num_forms': 27, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 1344, 'trace_bound': 11, 'trace_display': [0, 8, 0, 0], 'traces': [72, 0, 8, 0, 0, 0, 0, 0, 48, 0, 8, 0, 0, 0, 0, 0, -24, 0, 24, 0, 0, 0, 0, 0, 72, 0, 32, 0, 0, 0, 0, 0, -48, 0, 0, 0, 8, 0, 0, 0, -8, 0, 24, 0, 0, 0, 0, 0, 72, 0, 16, 0, 16, 0, 0, 0, -32, 0, 24, 0, 32, 0, 0, 0, 8, 0, 16, 0, 16, 0, -40, 0, -24, 0, 8, 0, 0, 0, 24, 0, -8, 0, -24, 0, 8, 0, 16, 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400, 0, 288, 0, 64, 0, 16, 0, 32, 0, 224, 0, -224, 0, 736, 0, 128, 0, 104, 0, -8, 0, 288, 0, 64, 0, 96, 0, -328, 0, 96, 0, 80, 0, 24, 0, 96, 0, 368, 0, 96, 0, 192, 0, -80, 0, 0, 0, 112, 0, 208, 0, -264, 0, -160, 0, 16, 0, -336, 0, 0, 0, 176, 0, -80, 0, 144, 0, 120, 0, -432, 0, 16, 0, -16, 0, 48, 0, 240, 0, -96, 0, -96, 0, -56, 0, 0, 0, 56, 0, -80, 0, 448, 0, 256, 0, -64, 0, 16, 0, -96, 0, 96, 0, 104, 0, -40, 0, 216, 0, -288, 0, -96, 0, -208, 0, 0, 0, -32, 0, 288, 0, 96, 0, 32, 0, 40, 0, 128, 0, 104, 0, 96, 0, -160, 0, 160, 0, 72, 0, -240, 0, -128, 0, 8, 0, 160, 0, -8, 0, 144, 0, 48, 0, -272, 0, -24, 0, -144, 0, 144, 0, 72, 0, 64, 0, -104, 0, 576, 0, -272, 0, 32, 0, -128, 0, -192, 0, -288, 0, -56, 0, -304, 0, 160, 0, 40, 0, -112, 0, 8, 0, -112, 0, 400, 0, -288, 0, -216, 0, -32, 0, -88, 0, -72, 0, 8, 0, -88, 0, 224, 0, 160, 0, -136, 0, 16, 0, -128, 0, -240, 0, -592, 0, -16, 0, -16, 0, -32, 0, -48, 0, -32, 0, 256, 0, -128, 0, 696, 0, -48, 0, 0, 0, 392, 0, 64, 0, 160, 0, -192, 0, 560, 0, 288, 0, 0, 0, -56, 0, -480, 0, 104, 0, 112, 0, -160, 0, -96, 0, -32, 0, 304, 0, 240, 0, 0, 0, 16, 0, 128, 0, 80, 0, 40, 0, -192, 0, 128, 0, 256, 0, 48, 0, 32, 0, 16, 0, -32, 0, -32, 0, -128, 0, 96, 0, 24, 0, 480, 0, -192, 0, -144, 0, -256, 0, 16, 0, 536, 0, 96, 0, 208, 0, 232, 0, -48, 0, -136, 0, 528, 0, 144, 0, 296, 0, 64, 0, -112, 0, -8, 0, 176, 0, 432, 0, 0, 0, -152, 0, -288, 0, 256, 0, -224, 0, -8, 0, -424, 0, 256, 0, 280, 0, 544, 0, 32, 0, 48, 0, 344, 0, -8, 0, 40, 0, -64, 0, 112, 0, -240, 0, -48, 0, -448, 0, -160, 0, 24, 0, 384, 0, -480, 0, 288, 0, -24, 0, 16, 0, -48, 0, 128, 0, 352, 0, -24, 0, 0, 0, -184, 0, -40, 0, -152, 0, -80, 0, 160, 0, -176, 0, 592, 0, 40, 0, -24, 0, 400, 0, -296, 0, -464, 0, 192, 0, -168, 0, 24, 0, 256, 0, 248, 0, 184, 0, 16, 0, -304, 0, -176, 0, -64, 0, -144, 0, 8, 0, 112, 0, -184, 0, -240, 0, 160, 0, 16, 0, -8, 0, 16, 0, 160, 0, -48, 0, 0, 0, 528, 0, -16, 0, -168, 0, -24, 0, 136, 0, 192, 0, -112, 0, -192, 0, 64, 0, 56, 0, -104, 0, 24, 0, 32, 0, -64, 0, 16, 0, 144, 0, 376, 0, -192, 0, 464, 0, 96, 0, 224, 0, 256, 0, -136, 0, -176, 0, -144, 0, 0, 0, -288, 0, 416, 0, 264, 0, 0, 0, -88, 0, 80, 0, -48, 0, 416, 0, 16, 0, -64, 0, -48, 0, -304, 0, -80, 0, -8, 0, 96, 0, -512, 0, -80, 0, 0, 0, -32, 0, 0, 0, 256, 0, -304, 0, 344, 0, 32, 0, 32, 0, -96, 0, 120, 0, -352, 0, 160, 0, -80, 0, 144, 0, 16, 0, -120, 0, -64, 0, 264, 0, 224, 0, 112, 0, 104, 0, 0, 0, 128, 0, 272, 0, 392, 0, 64, 0, -160, 0, 240, 0, -16, 0, 336, 0, -328, 0, -160, 0, 408, 0, 328, 0, -128, 0, 0, 0, 48, 0, -384, 0, -464, 0, -264, 0, -568, 0, 32, 0, -16, 0, -432, 0, 112, 0, -592, 0, 48, 0, 80, 0, -48, 0, 80, 0, -104, 0, 128, 0, -128, 0, 16, 0, -112, 0, 240, 0, 32, 0, 144, 0, 496, 0, 624, 0, 96, 0, -128, 0, -320, 0, -128, 0, -464, 0, 272, 0, -208, 0, 88, 0, -32, 0, 88, 0, 112, 0, 8, 0, 136, 0, 64, 0, 64, 0, -176, 0, -176, 0, 0, 0, 320, 0, -280, 0, -56, 0, -152, 0, 512, 0, 96, 0, 72, 0, -192, 0, 40, 0, -176, 0, 24, 0, 200, 0, 16, 0, 80, 0, -24, 0, 32, 0, -432, 0, -128, 0, -40, 0, 16, 0, 80, 0, 112, 0, 48, 0, 128, 0, 120, 0, -432, 0, 144, 0, 32, 0, -80, 0, 64, 0, 176, 0, -480, 0, -416, 0, -16, 0, 32, 0, -232, 0, -288, 0, 736, 0, 192, 0, -296, 0, -224, 0, -56, 0, 152, 0, 40, 0, 256, 0, 136, 0, -880, 0, 0, 0, 24, 0, -192, 0, 272, 0, 32, 0, -880, 0, 256, 0, -208, 0, 16, 0, 224, 0, -368, 0, 0, 0, -96, 0, -144, 0, 144, 0, -192, 0, 72, 0, -752, 0, 160, 0, -56, 0, -136, 0, 48, 0, 192, 0, -272, 0, -528, 0, 352, 0, 0, 0, -256, 0, -48, 0, 224, 0, -496, 0, -208, 0, -120, 0, 160, 0, -288, 0, 464, 0, -72, 0, 0, 0, 240, 0, -16, 0, -416, 0, 112, 0, 656, 0, -24, 0, -736, 0, -144, 0, 0, 0, 232, 0, -40, 0, -400, 0, -168, 0, -144, 0, -96, 0, -288, 0, -72, 0, -568, 0, -576, 0, 16, 0, -360, 0, -240, 0, -112, 0, -192, 0, -496, 0, -384, 0, -272, 0, 0, 0, -64, 0, -360, 0, 32, 0, 48, 0, -96, 0, 0, 0, 144, 0, 240, 0, 80, 0, 440, 0, 192, 0, -192, 0, 0, 0, -400, 0, 432, 0, -32, 0, 304, 0, 128, 0, -160, 0, -128, 0, 40, 0, 88, 0, -328, 0, 288, 0, 368, 0, 0, 0, -272, 0, 112, 0, -424, 0, 160, 0, 24, 0, 0, 0, 48, 0, 8, 0, -80, 0, -16, 0, -384, 0, 96, 0, 184, 0, 448, 0, 0, 0, 176, 0, 88, 0, -432, 0, -32, 0, 40, 0, -584, 0, -144, 0, -8, 0, 56, 0, 0, 0, 64, 0, 224, 0, -48, 0, 16, 0, 32, 0, 104, 0, 240, 0, -64, 0, 512, 0, -144, 0, 80, 0, 0, 0, -384, 0, -144, 0, 88, 0, -112, 0, 208, 0, 48, 0, -448, 0, 112, 0, -416, 0, 208, 0, 304, 0, -728, 0, -48, 0, 64, 0, 48, 0, -48, 0, 80, 0, 32, 0, 600, 0, 32, 0, 240, 0, 248, 0, 144, 0, 416, 0, -256, 0, 160, 0, -32, 0, -72, 0, 360, 0, 720, 0, -32, 0, -8, 0, 48, 0, 96, 0, 168, 0, 112, 0, -400, 0, 160, 0, -568, 0, -120, 0, 0, 0, 16, 0, -24, 0, 160, 0, -16, 0, -784, 0, -40, 0, 64, 0, 16, 0, 368, 0, -48, 0, 152, 0, 224, 0, 160, 0, 112, 0, -304, 0, -680, 0, -128, 0, -104, 0, 320, 0, 320, 0, -88, 0, -48, 0, -176, 0, -16, 0, -384, 0, -24, 0, 0, 0, 0, 0, 136, 0, 176, 0, -24, 0, -80, 0, -544, 0, -352, 0, 24, 0, -448, 0, -16, 0, -104, 0, 32, 0, -224, 0, -304, 0, 24, 0, 48, 0, 16, 0, -480, 0, -536, 0, 32, 0, 192, 0, -192, 0, 24, 0, -624, 0, 0, 0, 224, 0, 224, 0, -160, 0, 104, 0, 96, 0, -128, 0, -224, 0, -192, 0, -736, 0, -80, 0, -96, 0, -48, 0, 64, 0, 360, 0, 0, 0, -304, 0, 416, 0, -32, 0, 312, 0, -48, 0, 224, 0, -608, 0, 200, 0, 0, 0, 8, 0, -128, 0, -152, 0, -112, 0, -400, 0, -80, 0, 32, 0, 32, 0, -760, 0, 8, 0, 176, 0, 264, 0, 496, 0], 'weight': 2, 'weight_parity': 1}
• 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: 48527504
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090449976, 'source_is_minimal': True, 'source_label': '3640.2.a.y.1.4', 'source_level': 3640, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086391090449976, 'target_is_minimal': True, 'target_label': '3640.2.a.y.1.4', 'target_level': 3640, 'twist_class_label': '3640.2.a.y.1.4', 'twist_class_level': 3640, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48527505
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 4, 'source_hecke_orbit_code': 108086391090449976, 'source_is_minimal': True, 'source_label': '3640.2.a.y.1.4', 'source_level': 3640, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 243194379911568496, 'target_is_minimal': False, 'target_label': '7280.2.a.cc.1.2', 'target_level': 7280, 'twist_class_label': '3640.2.a.y.1.4', 'twist_class_level': 3640, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3287050
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 108086391090449976, 'p': 2}
  • id: 3287051
    {'charpoly_factorization': [[[-4, 10, 3, -8, 0, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 3}
  • id: 3287052
    {'charpoly_factorization': [[[1, 1], 5]], 'hecke_orbit_code': 108086391090449976, 'p': 5}
  • id: 3287053
    {'charpoly_factorization': [[[-1, 1], 5]], 'hecke_orbit_code': 108086391090449976, 'p': 7}
  • id: 3287054
    {'charpoly_factorization': [[[64, 96, -84, -10, 7, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 11}
  • id: 3287055
    {'charpoly_factorization': [[[1, 1], 5]], 'hecke_orbit_code': 108086391090449976, 'p': 13}
  • id: 3287056
    {'charpoly_factorization': [[[776, 412, -54, -47, -1, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 17}
  • id: 3287057
    {'charpoly_factorization': [[[-2168, 720, 160, -55, -3, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 19}
  • id: 3287058
    {'charpoly_factorization': [[[1328, -584, -520, -70, 5, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 23}
  • id: 3287059
    {'charpoly_factorization': [[[8168, 652, -582, -59, 9, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 29}
  • id: 3287060
    {'charpoly_factorization': [[[-3076, 1198, 421, -82, -6, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 31}
  • id: 3287061
    {'charpoly_factorization': [[[20, -24, -45, 0, 10, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 37}
  • id: 3287062
    {'charpoly_factorization': [[[-3340, 2596, -259, -90, 8, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 41}
  • id: 3287063
    {'charpoly_factorization': [[[-13472, 3792, 968, -164, -6, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 43}
  • id: 3287064
    {'charpoly_factorization': [[[-256, 672, -364, -16, 13, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 47}
  • id: 3287065
    {'charpoly_factorization': [[[12928, -432, -992, -24, 16, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 53}
  • id: 3287066
    {'charpoly_factorization': [[[400, 188, -230, -71, 1, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 59}
  • id: 3287067
    {'charpoly_factorization': [[[-4112, -3536, -936, -48, 11, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 61}
  • id: 3287068
    {'charpoly_factorization': [[[-38288, -12596, -421, 246, 30, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 67}
  • id: 3287069
    {'charpoly_factorization': [[[-640, -1456, -464, -4, 12, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 71}
  • id: 3287070
    {'charpoly_factorization': [[[-1216, -6208, 1708, 36, -23, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 73}
  • id: 3287071
    {'charpoly_factorization': [[[1328, 2036, 307, -246, -2, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 79}
  • id: 3287072
    {'charpoly_factorization': [[[2432, 1792, -1160, -212, 2, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 83}
  • id: 3287073
    {'charpoly_factorization': [[[-100376, -35444, -3590, 45, 25, 1], 1]], 'hecke_orbit_code': 108086391090449976, 'p': 89}
  • id: 3287074
    {'charpoly_factorization': [[[-3376, 3480, -288, -118, 5, 1], 1]], 'hecke_orbit_code': 108086391090449976, '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': 25, 'label': '3640.2.a.y', 'level': 3640, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 257167000
    {'hecke_orbit_code': 108086391090449976, 'n': 1, 'trace_an': 5}
  • id: 257167001
    {'hecke_orbit_code': 108086391090449976, 'n': 2, 'trace_an': 0}
  • id: 257167002
    {'hecke_orbit_code': 108086391090449976, 'n': 3, 'trace_an': 0}
  • id: 257167003
    {'hecke_orbit_code': 108086391090449976, 'n': 4, 'trace_an': 0}
  • id: 257167004
    {'hecke_orbit_code': 108086391090449976, 'n': 5, 'trace_an': -5}
  • id: 257167005
    {'hecke_orbit_code': 108086391090449976, 'n': 6, 'trace_an': 0}
  • id: 257167006
    {'hecke_orbit_code': 108086391090449976, 'n': 7, 'trace_an': 5}
  • id: 257167007
    {'hecke_orbit_code': 108086391090449976, 'n': 8, 'trace_an': 0}
  • id: 257167008
    {'hecke_orbit_code': 108086391090449976, 'n': 9, 'trace_an': 1}
  • id: 257167009
    {'hecke_orbit_code': 108086391090449976, 'n': 10, 'trace_an': 0}
  • id: 257167010
    {'hecke_orbit_code': 108086391090449976, 'n': 11, 'trace_an': -7}
  • id: 257167011
    {'hecke_orbit_code': 108086391090449976, 'n': 12, 'trace_an': 0}
  • id: 257167012
    {'hecke_orbit_code': 108086391090449976, 'n': 13, 'trace_an': -5}
  • id: 257167013
    {'hecke_orbit_code': 108086391090449976, 'n': 14, 'trace_an': 0}
  • id: 257167014
    {'hecke_orbit_code': 108086391090449976, 'n': 15, 'trace_an': 0}
  • id: 257167015
    {'hecke_orbit_code': 108086391090449976, 'n': 16, 'trace_an': 0}
  • id: 257167016
    {'hecke_orbit_code': 108086391090449976, 'n': 17, 'trace_an': 1}
  • id: 257167017
    {'hecke_orbit_code': 108086391090449976, 'n': 18, 'trace_an': 0}
  • id: 257167018
    {'hecke_orbit_code': 108086391090449976, 'n': 19, 'trace_an': 3}
  • id: 257167019
    {'hecke_orbit_code': 108086391090449976, 'n': 20, 'trace_an': 0}
  • id: 257167020
    {'hecke_orbit_code': 108086391090449976, 'n': 21, 'trace_an': 0}
  • id: 257167021
    {'hecke_orbit_code': 108086391090449976, 'n': 22, 'trace_an': 0}
  • id: 257167022
    {'hecke_orbit_code': 108086391090449976, 'n': 23, 'trace_an': -5}
  • id: 257167023
    {'hecke_orbit_code': 108086391090449976, 'n': 24, 'trace_an': 0}
  • id: 257167024
    {'hecke_orbit_code': 108086391090449976, 'n': 25, 'trace_an': 5}
  • id: 257167025
    {'hecke_orbit_code': 108086391090449976, 'n': 26, 'trace_an': 0}
  • id: 257167026
    {'hecke_orbit_code': 108086391090449976, 'n': 27, 'trace_an': -9}
  • id: 257167027
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  • id: 257167028
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  • id: 257167030
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  • id: 257167032
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  • id: 257167036
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  • id: 257167040
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  • id: 257167042
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  • id: 257167046
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  • id: 257167076
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  • id: 257167078
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  • id: 257167121
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  • id: 257167124
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  • id: 257167125
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  • id: 257167126
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  • id: 257167129
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  • id: 257167130
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  • id: 257167131
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  • id: 257167132
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  • id: 257167172
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    {'hecke_orbit_code': 108086391090449976, 'n': 992, 'trace_an': 0}
  • id: 257167992
    {'hecke_orbit_code': 108086391090449976, 'n': 993, 'trace_an': -55}
  • id: 257167993
    {'hecke_orbit_code': 108086391090449976, 'n': 994, 'trace_an': 0}
  • id: 257167994
    {'hecke_orbit_code': 108086391090449976, 'n': 995, 'trace_an': -56}
  • id: 257167995
    {'hecke_orbit_code': 108086391090449976, 'n': 996, 'trace_an': 0}
  • id: 257167996
    {'hecke_orbit_code': 108086391090449976, 'n': 997, 'trace_an': 46}
  • id: 257167997
    {'hecke_orbit_code': 108086391090449976, 'n': 998, 'trace_an': 0}
  • id: 257167998
    {'hecke_orbit_code': 108086391090449976, 'n': 999, 'trace_an': 48}
  • id: 257167999
    {'hecke_orbit_code': 108086391090449976, 'n': 1000, 'trace_an': 0}