Embedded newform data - 1936.2.e.d.1935.1

Formats: - HTML - YAML - JSON - 2026-10-05T17:44:43.961723

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 7744, 'analytic_conductor': 15.459037831319883, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 44, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [1936, 2, [1695, 485, 849], [1, 2, 1]], 'cm_discs': [], 'conrey_index': 1935, 'dim': 4, 'field_disc': 576, 'field_disc_factorization': [[2, 6], [3, 2]], 'field_poly': [4, 0, -2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [3, 0, 1]], [5, [-1, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511073793574800, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 44, 3, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1936.2.e.d', 'level': 1936, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 11], 'level_radical': 22, 'minimal_twist': '1936.2.e.d', 'nf_label': '4.0.576.1', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{2}q^{3}+q^{5}-\\beta _{3}q^{7}+4\\beta _{1}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1936.2.e', 'trace_display': [0, 0, 4, 0], 'trace_hash': 2112575240684301374, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.022', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.854', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.354', 'prec': 10}, {'__RealLiteral__': 0, 'data': '115.622', 'prec': 20}, {'__RealLiteral__': 0, 'data': '13.278', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4352.938', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.756', 'prec': 10}, 'traces': [4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 12, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 12, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, -1.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-0.9258200997725514, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5689290811054724], [0.0, 0.0], [0.0, -0.4472135954999579], [0.0, 0.0], [0.0, -1.028991510855053], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9258200997725514], [0.0, 0.0], [0.0, -1.805787796286538], [0.0, 0.0], [-0.8, 0.0], [0.0, 0.0], [0.0, -1.0], [0.0, 0.0], [0.0, -1.0504514628777804], [0.0, 0.0], [0.0, 0.3110855084191276], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4140393356054125, 0.0], [0.0, 0.0], [0.8219949365267865, 0.0], [0.0, 0.0], [1.5689290811054724, 0.0], [0.0, 0.0], [0.0, -0.8834522085987724], [0.0, 0.0], [-1.867718419094071, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.0105823052798228], [0.0, 0.0], [-0.14285714285714285, 0.0], [0.0, 0.0], [-1.028991510855053, 0.0], [0.0, 0.0], [0.5494422557947561, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.5784566588059405], [0.0, 0.0], [0.0, -0.7242859683401482], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.7016464154456233], [0.0, 0.0], [0.0, -0.6348110542727384], [0.0, 0.0], [-1.805787796286538, 0.0], [0.0, 0.0], [0.0, 1.4388962906378164], [0.0, 0.0], [0.0, 1.3241694217637887], [0.0, 0.0], [0.0, 0.8], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8267673819143256, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.2688664289689325, 0.0], [0.0, 0.0], [0.0, -0.46017899330842227], [0.0, 0.0], [-1.0504514628777804, 0.0], [0.0, 0.0], [-1.801996396010812, 0.0], [0.0, 0.0], [0.0, -1.4525460784051258], [0.0, 0.0], [0.3110855084191276, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7107423155935333, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.4166666666666667, -0.21410842671782343, -0.32659735475132434, None, 0.1435310608292892, -0.4139895651886847, -0.25, -0.3207191565314454, -0.411990442707161, 0.024856321012853008, -0.18259025107673446, -0.42718315183291344, -0.4417906028481507, -0.4156925510267787, -0.20570723360854762, -0.3552403998633037, -0.44102260423373774, -0.4485941819106942, 0.1278026029763335, 0.11516405320793643, -0.31782658603466485, -0.2285393146792437, -0.4285821880402169, -0.19217724029570624, -0.48879263727861977, 0.05543835612221173, -0.1491687205162902, 0.054983898486356673, -0.14528953986061194, -0.08224369919297858, -0.3847437144061886, -0.3278544224456189, -0.16307634013466663, -0.41271318489074754, -0.26588908731230815, -0.23090127451393866, -0.4087088441879233, -0.18811777814999114, -0.456686190559606, -0.4688961927659685, -0.23221818800478938, 0.03009865990689859, 0.03263123038349507, 0.008021505833049877, 0.03948651747036274, -0.36782453666487164, -0.4721685864539516, -0.26295186453909236, -0.20194552861383946, -0.36713189966561255, -0.3763319027121446, -0.3700438418764856, 0.04406009958789136, -0.20986470980011768, -0.33865023746654177, -0.2305438806052329, -0.25, 0.12844847871025386, 0.04770599706320957, -0.2970296015941795, -0.27085039662293264, -0.09162925137772977, 0.1725594361378371, -0.30031159371741195, -0.1382402377365227, -0.4771942026737389, 0.006131936292911902, -0.29235447692231054, -0.388749246359925, -0.17528230330675773, -0.10870486849407852, 0.007197236315607426, -0.421049659408621, 0.06555791760946697, 0.021191252429521655, -0.20502155125437332, -0.07053373079900133, -0.1026808514042956, 0.0628313367897448, 0.05495381560505156, -0.16897811908934157, -0.18224795312968825, -0.23851729302481395, -0.17255379563869488, 0.01969605558755226, -0.14958131586289283, 0.08876012153613307, 0.0, 0.03224824236600992, 0.07265679010041357, -0.426540979047476, 0.05745157614288142, -0.13458542497670115, 0.1902905234606256, -0.1474452226854373, -0.3351270819572683, -0.36880778827985594, -0.17953257889839122, -0.39598243936154087], 'char_orbit_index': 5, 'conrey_index': 1935, 'dual_conrey_index': 1935, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.7071067811865476, 'embedding_root_real': 1.224744871391589, 'hecke_orbit': 4, 'hecke_orbit_code': 13511073793574800, 'label': '1936.2.e.d.1935.1', 'level': 1936, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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

  
  {'Nk2': 7744, 'analytic_conductor': 15.459037831319883, 'char_conductor': 44, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [1936, 2, [1695, 485, 849], [1, 2, 1]], 'conrey_index': 1935, 'cusp_dim': 228, 'dim': 54, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 274911463312, 'hecke_orbit_dims': [2, 4, 4, 4, 8, 16, 16], 'label': '1936.2.e', 'level': 1936, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 11], 'level_radical': 22, 'mf_dim': 300, 'mf_new_dim': 54, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 54, 'sturm_bound': 528, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 102, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -72, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -12, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 24, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -192, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -210, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -36, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 24, 0, 0, 0, 186, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 180, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -258, 0, 0, 0, -48, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -24, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, -372, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, -216, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 24, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 372, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 96, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -246, 0, 0, 0, -444, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 408, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 204, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 186, 0, 0, 0, 0, 0, 0, 0, 756, 0, 0, 0, -48, 0, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 516, 0, 0, 0, 0, 0, 0, 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: 43201252
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1935, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073793574800, 'source_is_minimal': True, 'source_label': '1936.2.e.d.1935.1', 'source_level': 1936, 'target_conrey_index': 1935, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073793574800, 'target_is_minimal': True, 'target_label': '1936.2.e.d.1935.1', 'target_level': 1936, 'twist_class_label': '1936.2.e.d.1935.1', 'twist_class_level': 1936, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43201253
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1935, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073793574800, 'source_is_minimal': True, 'source_label': '1936.2.e.d.1935.1', 'source_level': 1936, 'target_conrey_index': 1935, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13511073793574800, 'target_is_minimal': True, 'target_label': '1936.2.e.d.1935.4', 'target_level': 1936, 'twist_class_label': '1936.2.e.d.1935.1', 'twist_class_level': 1936, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 43201254
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1935, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073793574800, 'source_is_minimal': True, 'source_label': '1936.2.e.d.1935.1', 'source_level': 1936, 'target_conrey_index': 1935, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511073793574800, 'target_is_minimal': True, 'target_label': '1936.2.e.d.1935.2', 'target_level': 1936, 'twist_class_label': '1936.2.e.d.1935.1', 'twist_class_level': 1936, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 43201255
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1935, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073793574800, 'source_is_minimal': True, 'source_label': '1936.2.e.d.1935.1', 'source_level': 1936, 'target_conrey_index': 1935, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511073793574800, 'target_is_minimal': True, 'target_label': '1936.2.e.d.1935.3', 'target_level': 1936, 'twist_class_label': '1936.2.e.d.1935.1', 'twist_class_level': 1936, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2315475
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 2}
  • id: 2315476
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 3}
  • id: 2315477
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 5}
  • id: 2315478
    {'charpoly_factorization': [[[-6, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 7}
  • id: 2315479
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 11}
  • id: 2315480
    {'charpoly_factorization': [[[32, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 13}
  • id: 2315481
    {'charpoly_factorization': [[[18, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 17}
  • id: 2315482
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 19}
  • id: 2315483
    {'charpoly_factorization': [[[75, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 23}
  • id: 2315484
    {'charpoly_factorization': [[[32, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 29}
  • id: 2315485
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 31}
  • id: 2315486
    {'charpoly_factorization': [[[-5, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 37}
  • id: 2315487
    {'charpoly_factorization': [[[32, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 41}
  • id: 2315488
    {'charpoly_factorization': [[[-150, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 43}
  • id: 2315489
    {'charpoly_factorization': [[[48, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 47}
  • id: 2315490
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 53}
  • id: 2315491
    {'charpoly_factorization': [[[147, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 59}
  • id: 2315492
    {'charpoly_factorization': [[[32, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 61}
  • id: 2315493
    {'charpoly_factorization': [[[27, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 67}
  • id: 2315494
    {'charpoly_factorization': [[[147, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 71}
  • id: 2315495
    {'charpoly_factorization': [[[128, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 73}
  • id: 2315496
    {'charpoly_factorization': [[[-54, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 79}
  • id: 2315497
    {'charpoly_factorization': [[[-6, 0, 1], 2]], 'hecke_orbit_code': 13511073793574800, 'p': 83}
  • id: 2315498
    {'charpoly_factorization': [[[17, 1], 4]], 'hecke_orbit_code': 13511073793574800, 'p': 89}
  • id: 2315499
    {'charpoly_factorization': [[[-7, 1], 4]], 'hecke_orbit_code': 13511073793574800, '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': 5, 'hecke_orbit': 4, 'label': '1936.2.e.d', 'level': 1936, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 36486595
    {'hecke_orbit_code': 13511073793574800, 'n': 1, 'trace_an': 4}
  • id: 36486596
    {'hecke_orbit_code': 13511073793574800, 'n': 2, 'trace_an': 0}
  • id: 36486597
    {'hecke_orbit_code': 13511073793574800, 'n': 3, 'trace_an': 0}
  • id: 36486598
    {'hecke_orbit_code': 13511073793574800, 'n': 4, 'trace_an': 0}
  • id: 36486599
    {'hecke_orbit_code': 13511073793574800, 'n': 5, 'trace_an': 4}
  • id: 36486600
    {'hecke_orbit_code': 13511073793574800, 'n': 6, 'trace_an': 0}
  • id: 36486601
    {'hecke_orbit_code': 13511073793574800, 'n': 7, 'trace_an': 0}
  • id: 36486602
    {'hecke_orbit_code': 13511073793574800, 'n': 8, 'trace_an': 0}
  • id: 36486603
    {'hecke_orbit_code': 13511073793574800, 'n': 9, 'trace_an': 0}
  • id: 36486604
    {'hecke_orbit_code': 13511073793574800, 'n': 10, 'trace_an': 0}
  • id: 36486605
    {'hecke_orbit_code': 13511073793574800, 'n': 11, 'trace_an': 0}
  • id: 36486606
    {'hecke_orbit_code': 13511073793574800, 'n': 12, 'trace_an': 0}
  • id: 36486607
    {'hecke_orbit_code': 13511073793574800, 'n': 13, 'trace_an': 0}
  • id: 36486608
    {'hecke_orbit_code': 13511073793574800, 'n': 14, 'trace_an': 0}
  • id: 36486609
    {'hecke_orbit_code': 13511073793574800, 'n': 15, 'trace_an': 0}
  • id: 36486610
    {'hecke_orbit_code': 13511073793574800, 'n': 16, 'trace_an': 0}
  • id: 36486611
    {'hecke_orbit_code': 13511073793574800, 'n': 17, 'trace_an': 0}
  • id: 36486612
    {'hecke_orbit_code': 13511073793574800, 'n': 18, 'trace_an': 0}
  • id: 36486613
    {'hecke_orbit_code': 13511073793574800, 'n': 19, 'trace_an': 0}
  • id: 36486614
    {'hecke_orbit_code': 13511073793574800, 'n': 20, 'trace_an': 0}
  • id: 36486615
    {'hecke_orbit_code': 13511073793574800, 'n': 21, 'trace_an': 0}
  • id: 36486616
    {'hecke_orbit_code': 13511073793574800, 'n': 22, 'trace_an': 0}
  • id: 36486617
    {'hecke_orbit_code': 13511073793574800, 'n': 23, 'trace_an': 0}
  • id: 36486618
    {'hecke_orbit_code': 13511073793574800, 'n': 24, 'trace_an': 0}
  • id: 36486619
    {'hecke_orbit_code': 13511073793574800, 'n': 25, 'trace_an': -16}
  • id: 36486620
    {'hecke_orbit_code': 13511073793574800, 'n': 26, 'trace_an': 0}
  • id: 36486621
    {'hecke_orbit_code': 13511073793574800, 'n': 27, 'trace_an': 0}
  • id: 36486622
    {'hecke_orbit_code': 13511073793574800, 'n': 28, 'trace_an': 0}
  • id: 36486623
    {'hecke_orbit_code': 13511073793574800, 'n': 29, 'trace_an': 0}
  • id: 36486624
    {'hecke_orbit_code': 13511073793574800, 'n': 30, 'trace_an': 0}
  • id: 36486625
    {'hecke_orbit_code': 13511073793574800, 'n': 31, 'trace_an': 0}
  • id: 36486626
    {'hecke_orbit_code': 13511073793574800, 'n': 32, 'trace_an': 0}
  • id: 36486627
    {'hecke_orbit_code': 13511073793574800, 'n': 33, 'trace_an': 0}
  • id: 36486628
    {'hecke_orbit_code': 13511073793574800, 'n': 34, 'trace_an': 0}
  • id: 36486629
    {'hecke_orbit_code': 13511073793574800, 'n': 35, 'trace_an': 0}
  • id: 36486630
    {'hecke_orbit_code': 13511073793574800, 'n': 36, 'trace_an': 0}
  • id: 36486631
    {'hecke_orbit_code': 13511073793574800, 'n': 37, 'trace_an': 20}
  • id: 36486632
    {'hecke_orbit_code': 13511073793574800, 'n': 38, 'trace_an': 0}
  • id: 36486633
    {'hecke_orbit_code': 13511073793574800, 'n': 39, 'trace_an': 0}
  • id: 36486634
    {'hecke_orbit_code': 13511073793574800, 'n': 40, 'trace_an': 0}
  • id: 36486635
    {'hecke_orbit_code': 13511073793574800, 'n': 41, 'trace_an': 0}
  • id: 36486636
    {'hecke_orbit_code': 13511073793574800, 'n': 42, 'trace_an': 0}
  • id: 36486637
    {'hecke_orbit_code': 13511073793574800, 'n': 43, 'trace_an': 0}
  • id: 36486638
    {'hecke_orbit_code': 13511073793574800, 'n': 44, 'trace_an': 0}
  • id: 36486639
    {'hecke_orbit_code': 13511073793574800, 'n': 45, 'trace_an': 0}
  • id: 36486640
    {'hecke_orbit_code': 13511073793574800, 'n': 46, 'trace_an': 0}
  • id: 36486641
    {'hecke_orbit_code': 13511073793574800, 'n': 47, 'trace_an': 0}
  • id: 36486642
    {'hecke_orbit_code': 13511073793574800, 'n': 48, 'trace_an': 0}
  • id: 36486643
    {'hecke_orbit_code': 13511073793574800, 'n': 49, 'trace_an': -4}
  • id: 36486644
    {'hecke_orbit_code': 13511073793574800, 'n': 50, 'trace_an': 0}
  • id: 36486645
    {'hecke_orbit_code': 13511073793574800, 'n': 51, 'trace_an': 0}
  • id: 36486646
    {'hecke_orbit_code': 13511073793574800, 'n': 52, 'trace_an': 0}
  • id: 36486647
    {'hecke_orbit_code': 13511073793574800, 'n': 53, 'trace_an': 16}
  • id: 36486648
    {'hecke_orbit_code': 13511073793574800, 'n': 54, 'trace_an': 0}
  • id: 36486649
    {'hecke_orbit_code': 13511073793574800, 'n': 55, 'trace_an': 0}
  • id: 36486650
    {'hecke_orbit_code': 13511073793574800, 'n': 56, 'trace_an': 0}
  • id: 36486651
    {'hecke_orbit_code': 13511073793574800, 'n': 57, 'trace_an': 0}
  • id: 36486652
    {'hecke_orbit_code': 13511073793574800, 'n': 58, 'trace_an': 0}
  • id: 36486653
    {'hecke_orbit_code': 13511073793574800, 'n': 59, 'trace_an': 0}
  • id: 36486654
    {'hecke_orbit_code': 13511073793574800, 'n': 60, 'trace_an': 0}
  • id: 36486655
    {'hecke_orbit_code': 13511073793574800, 'n': 61, 'trace_an': 0}
  • id: 36486656
    {'hecke_orbit_code': 13511073793574800, 'n': 62, 'trace_an': 0}
  • id: 36486657
    {'hecke_orbit_code': 13511073793574800, 'n': 63, 'trace_an': 0}
  • id: 36486658
    {'hecke_orbit_code': 13511073793574800, 'n': 64, 'trace_an': 0}
  • id: 36486659
    {'hecke_orbit_code': 13511073793574800, 'n': 65, 'trace_an': 0}
  • id: 36486660
    {'hecke_orbit_code': 13511073793574800, 'n': 66, 'trace_an': 0}
  • id: 36486661
    {'hecke_orbit_code': 13511073793574800, 'n': 67, 'trace_an': 0}
  • id: 36486662
    {'hecke_orbit_code': 13511073793574800, 'n': 68, 'trace_an': 0}
  • id: 36486663
    {'hecke_orbit_code': 13511073793574800, 'n': 69, 'trace_an': -60}
  • id: 36486664
    {'hecke_orbit_code': 13511073793574800, 'n': 70, 'trace_an': 0}
  • id: 36486665
    {'hecke_orbit_code': 13511073793574800, 'n': 71, 'trace_an': 0}
  • id: 36486666
    {'hecke_orbit_code': 13511073793574800, 'n': 72, 'trace_an': 0}
  • id: 36486667
    {'hecke_orbit_code': 13511073793574800, 'n': 73, 'trace_an': 0}
  • id: 36486668
    {'hecke_orbit_code': 13511073793574800, 'n': 74, 'trace_an': 0}
  • id: 36486669
    {'hecke_orbit_code': 13511073793574800, 'n': 75, 'trace_an': 0}
  • id: 36486670
    {'hecke_orbit_code': 13511073793574800, 'n': 76, 'trace_an': 0}
  • id: 36486671
    {'hecke_orbit_code': 13511073793574800, 'n': 77, 'trace_an': 0}
  • id: 36486672
    {'hecke_orbit_code': 13511073793574800, 'n': 78, 'trace_an': 0}
  • id: 36486673
    {'hecke_orbit_code': 13511073793574800, 'n': 79, 'trace_an': 0}
  • id: 36486674
    {'hecke_orbit_code': 13511073793574800, 'n': 80, 'trace_an': 0}
  • id: 36486675
    {'hecke_orbit_code': 13511073793574800, 'n': 81, 'trace_an': -36}
  • id: 36486676
    {'hecke_orbit_code': 13511073793574800, 'n': 82, 'trace_an': 0}
  • id: 36486677
    {'hecke_orbit_code': 13511073793574800, 'n': 83, 'trace_an': 0}
  • id: 36486678
    {'hecke_orbit_code': 13511073793574800, 'n': 84, 'trace_an': 0}
  • id: 36486679
    {'hecke_orbit_code': 13511073793574800, 'n': 85, 'trace_an': 0}
  • id: 36486680
    {'hecke_orbit_code': 13511073793574800, 'n': 86, 'trace_an': 0}
  • id: 36486681
    {'hecke_orbit_code': 13511073793574800, 'n': 87, 'trace_an': 0}
  • id: 36486682
    {'hecke_orbit_code': 13511073793574800, 'n': 88, 'trace_an': 0}
  • id: 36486683
    {'hecke_orbit_code': 13511073793574800, 'n': 89, 'trace_an': -68}
  • id: 36486684
    {'hecke_orbit_code': 13511073793574800, 'n': 90, 'trace_an': 0}
  • id: 36486685
    {'hecke_orbit_code': 13511073793574800, 'n': 91, 'trace_an': 0}
  • id: 36486686
    {'hecke_orbit_code': 13511073793574800, 'n': 92, 'trace_an': 0}
  • id: 36486687
    {'hecke_orbit_code': 13511073793574800, 'n': 93, 'trace_an': 12}
  • id: 36486688
    {'hecke_orbit_code': 13511073793574800, 'n': 94, 'trace_an': 0}
  • id: 36486689
    {'hecke_orbit_code': 13511073793574800, 'n': 95, 'trace_an': 0}
  • id: 36486690
    {'hecke_orbit_code': 13511073793574800, 'n': 96, 'trace_an': 0}
  • id: 36486691
    {'hecke_orbit_code': 13511073793574800, 'n': 97, 'trace_an': 28}
  • id: 36486692
    {'hecke_orbit_code': 13511073793574800, 'n': 98, 'trace_an': 0}
  • id: 36486693
    {'hecke_orbit_code': 13511073793574800, 'n': 99, 'trace_an': 0}
  • id: 36486694
    {'hecke_orbit_code': 13511073793574800, 'n': 100, 'trace_an': 0}