Newform data - 1944.2.a.d

Formats: - HTML - YAML - JSON - 2026-08-06T16:28:06.480136

• 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': 7776, 'analytic_conductor': 15.522918152936906, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -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': [1944, 1, [487, 973, 1217], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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, [2, 1]], [7, [-3, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915667864, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1944.2.a.d', 'level': 1944, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '1944.2.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{5}+3q^{7}-2q^{11}+q^{13}-4q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/1944/d'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1944.2.a', 'trace_display': [0, 0, -2, 3], 'trace_hash': 275330106533606347, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.959', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.880', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.629', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [1, 0, 0, 0, -2, 0, 3, 0, 0, 0, -2, 0, 1, 0, 0, 0, -4, 0, -1, 0, 0, 0, -8, 0, -1, 0, 0, 0, 6, 0, -7, 0, 0, 0, -6, 0, 3, 0, 0, 0, 6, 0, 7, 0, 0, 0, 6, 0, 2, 0, 0, 0, -14, 0, 4, 0, 0, 0, -2, 0, -14, 0, 0, 0, -2, 0, 8, 0, 0, 0, -10, 0, -14, 0, 0, 0, -6, 0, -5, 0, 0, 0, 8, 0, 8, 0, 0, 0, -6, 0, 3, 0, 0, 0, 2, 0, -7, 0, 0, 0, 12, 0, -8, 0, 0, 0, -18, 0, -11, 0, 0, 0, -18, 0, 16, 0, 0, 0, -12, 0, -7, 0, 0, 0, 12, 0, 13, 0, 0, 0, -10, 0, -3, 0, 0, 0, -12, 0, 3, 0, 0, 0, -2, 0, -12, 0, 0, 0, -4, 0, 8, 0, 0, 0, 14, 0, 7, 0, 0, 0, -24, 0, 15, 0, 0, 0, -6, 0, -12, 0, 0, 0, 0, 0, -3, 0, 0, 0, 24, 0, 21, 0, 0, 0, -6, 0, 8, 0, 0, 0, 0, 0, -10, 0, 0, 0, 6, 0, 1, 0, 0, 0, 18, 0, -12, 0, 0, 0, 2, 0, -11, 0, 0, 0, -14, 0, -21, 0, 0, 0, -4, 0, 25, 0, 0, 0, -12, 0, 1, 0, 0, 0, 4, 0, -12, 0, 0, 0, 20, 0, 21, 0, 0, 0, -4, 0, -1, 0, 0, 0, -4, 0, 16, 0, 0, 0, 26, 0, 9, 0, 0, 0, 28, 0, 28, 0, 0, 0, 8, 0, 8, 0, 0, 0, 2, 0, -11, 0, 0, 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50, 0, -48, 0, 0, 0, -58, 0, -60, 0, 0, 0, -56, 0, -37, 0, 0, 0, -104, 0, -15, 0, 0, 0, 2, 0, 72, 0, 0, 0, 54, 0, -32, 0, 0, 0, -40, 0, 0, 0, 0, 0, -14, 0, 51, 0, 0, 0, -12, 0, 19, 0, 0, 0, -10, 0, -16, 0, 0, 0, 40, 0, -56, 0, 0, 0, -78, 0, 48, 0, 0, 0, 12, 0, 1, 0, 0, 0, -16, 0, -7, 0, 0, 0, -48, 0, -28, 0, 0, 0, -84, 0, 12, 0, 0, 0, 28, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [0], [0], [0], [-2], [0], [3], [0], [0], [0], [-2], [0], [1], [0], [0], [0], [-4], [0], [-1], [0], [0], [0], [-8], [0], [-1], [0], [0], [0], [6], [0], [-7], [0], [0], [0], [-6], [0], [3], [0], [0], [0], [6], [0], [7], [0], [0], [0], [6], [0], [2], [0], [0], [0], [-14], [0], [4], [0], [0], [0], [-2], [0], [-14], [0], [0], [0], [-2], [0], [8], [0], [0], [0], [-10], [0], [-14], [0], [0], [0], [-6], [0], [-5], [0], [0], [0], [8], [0], [8], [0], [0], [0], [-6], [0], [3], [0], [0], [0], [2], [0], [-7], [0], [0], [0]], 'ap': [[0], [0], [-2], [3], [-2], [1], [-4], [-1], [-8], [6], [-7], [3], [6], [7], [6], [-14], [-2], [-14], [8], [-10], [-14], [-5], [8], [-6], [-7], [12], [-8], [-18], [-11], [-18], [13], [-10], [-12], [3], [-4], [8], [7], [15], [-6], [0], [24], [21], [0], [-10], [6], [1], [-11], [25], [-12], [1], [4], [20], [21], [-4], [26], [28], [8], [8], [-11], [-16], [-13], [0], [-12], [12], [-33], [12], [-19], [-27], [-30], [-21], [26], [30], [-8], [11], [29], [-18], [-32], [35], [-6], [-27], [18], [17], [20], [-41], [12], [8], [34], [17], [-8], [5], [30], [-4], [1], [6], [12], [0], [0], [-4], [28], [-3], [-4], [-26], [28], [10], [-15], [14], [16], [28], [-6], [19], [23], [26], [0], [-20], [-11], [10], [-12], [-28], [-18], [24], [-10], [19], [-14], [4], [-31], [-12], [-7], [-14], [-48], [29], [-43], [-32], [-39], [38], [-28], [-13], [24], [52], [-44], [-10], [-5], [-30], [35], [-22], [25], [42], [-22], [6], [15], [46], [-21], [-52], [-19], [8], [-5], [-8], [-56], [32], [3], [18], [-24], [-24], [56], [-18], [-18], [24], [28], [10], [-34], [-14], [-60], [-6], [38], [1], [-19], [50], [-13], [-24], [7], [11], [17], [-10], [-6], [-30], [-60], [66], [-2], [39], [-35], [-48], [61], [54], [7], [-62], [54], [32], [-17], [37], [-46], [-6], [-40], [-49], [17], [-14], [-42], [0], [-13], [-42], [-34], [-23], [-57], [-36], [16], [-52], [14], [-10], [-13], [-2], [-18], [36], [17], [36], [-24], [11], [-12], [-73], [12], [-24], [63], [10], [-3], [13], [-55], [28], [39], [-34], [5], [40], [-40], [34], [24], [-28], [-32], [34], [66], [-70], [7], [60], [-47], [38], [-66], [-18], [-28], [-14], [66], [-60], [-10], [-41], [36], [19], [25], [0], [10], [15], [40], [53], [-10], [-58], [-31], [-64], [67], [-61], [-11], [-8], [-83], [-64], [-18], [-1], [43], [-62], [52], [43], [58], [2], [-40], [4], [-67], [42], [20], [-34], [-56], [-24], [-20], [54], [42], [28], [65], [12], [84], [59], [-25], [74], [-61], [-74], [-69], [-19], [-60], [14], [-28], [11], [36], [54], [-46], [73], [-20], [41], [24], [-78], [-79], [0], [52], [19], [-34], [37], [-8], [-15], [60], [-36], [-62], [42], [-14], [-54], [69], [6], [48], [-30], [-86], [-90], [89], [72], [43], [78], [90], [45], [34], [-44], [-90], [13], [6], [2], [21], [65], [-2], [0], [2], [-52], [-44], [-16], [70], [66], [-37], [0], [-18], [26], [-35], [-69], [-12], [49], [-77], [32], [-21], [-40], [-68], [25], [53], [-48], [-90], [55], [24], [2], [24], [86], [-63], [-72], [-5], [-78], [-48], [5], [-11], [-6], [25], [22], [-12], [69], [-90], [-62], [21], [-36], [-37], [-62], [-97], [24], [-17], [-52], [34], [-5], [73], [18], [92], [-18], [-1], [-2], [8], [4], [45], [-62], [66], [83], [-66], [50], [-58], [-37], [2], [-40], [19], [-10], [40], [-78], [48], [28]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 13510798915667864, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1944.2.a.d', 'level': 1944, 'maxp': 2999, '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

  
  {'ALdims': [9, 9, 12, 6], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [17, 18, 18, 18], 'ALdims_old': [59, 67, 65, 62], 'Nk2': 7776, 'analytic_conductor': 15.522918152936906, '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': [1944, 1, [487, 973, 1217], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 289, 'dim': 36, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 33556376, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 6, 6], 'label': '1944.2.a', 'level': 1944, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 360, 'mf_new_dim': 36, 'num_forms': 18, 'plus_dim': 15, 'prim_orbit_index': 1, 'relative_dim': 36, 'sturm_bound': 648, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -18, 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, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 306, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 396, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 414, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -270, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -180, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 846699
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '1944.2.a.d', 'source_level': 1944, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '1944.2.a.d', 'target_level': 1944, 'twist_class_label': '1944.2.a.d', 'twist_class_level': 1944, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 846700
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '1944.2.a.d', 'source_level': 1944, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '1944.2.a.i', 'target_level': 1944, 'twist_class_label': '1944.2.a.d', 'twist_class_level': 1944, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 846701
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '1944.2.a.d', 'source_level': 1944, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1944.2.i.b', 'target_level': 1944, 'twist_class_label': '1944.2.a.d', 'twist_class_level': 1944, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 846702
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '1944.2.a.d', 'source_level': 1944, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '1944.2.i.g', 'target_level': 1944, 'twist_class_label': '1944.2.a.d', 'twist_class_level': 1944, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 846703
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '1944.2.a.d', 'source_level': 1944, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3888.2.a.d', 'target_level': 3888, 'twist_class_label': '1944.2.a.d', 'twist_class_level': 1944, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 846704
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '1944.2.a.d', 'source_level': 1944, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '3888.2.a.q', 'target_level': 3888, 'twist_class_label': '1944.2.a.d', 'twist_class_level': 1944, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2319775
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 2}
  • id: 2319776
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 3}
  • id: 2319777
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 5}
  • id: 2319778
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 7}
  • id: 2319779
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 11}
  • id: 2319780
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 13}
  • id: 2319781
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 17}
  • id: 2319782
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 19}
  • id: 2319783
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 23}
  • id: 2319784
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 29}
  • id: 2319785
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 31}
  • id: 2319786
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 37}
  • id: 2319787
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 41}
  • id: 2319788
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 43}
  • id: 2319789
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 47}
  • id: 2319790
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 53}
  • id: 2319791
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 59}
  • id: 2319792
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 61}
  • id: 2319793
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 67}
  • id: 2319794
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 71}
  • id: 2319795
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 73}
  • id: 2319796
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 79}
  • id: 2319797
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 83}
  • id: 2319798
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 13510798915667864, 'p': 89}
  • id: 2319799
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 13510798915667864, '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': 4, 'label': '1944.2.a.d', 'level': 1944, '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: 32801581
    {'hecke_orbit_code': 13510798915667864, 'n': 1, 'trace_an': 1}
  • id: 32801582
    {'hecke_orbit_code': 13510798915667864, 'n': 2, 'trace_an': 0}
  • id: 32801583
    {'hecke_orbit_code': 13510798915667864, 'n': 3, 'trace_an': 0}
  • id: 32801584
    {'hecke_orbit_code': 13510798915667864, 'n': 4, 'trace_an': 0}
  • id: 32801585
    {'hecke_orbit_code': 13510798915667864, 'n': 5, 'trace_an': -2}
  • id: 32801586
    {'hecke_orbit_code': 13510798915667864, 'n': 6, 'trace_an': 0}
  • id: 32801587
    {'hecke_orbit_code': 13510798915667864, 'n': 7, 'trace_an': 3}
  • id: 32801588
    {'hecke_orbit_code': 13510798915667864, 'n': 8, 'trace_an': 0}
  • id: 32801589
    {'hecke_orbit_code': 13510798915667864, 'n': 9, 'trace_an': 0}
  • id: 32801590
    {'hecke_orbit_code': 13510798915667864, 'n': 10, 'trace_an': 0}
  • id: 32801591
    {'hecke_orbit_code': 13510798915667864, 'n': 11, 'trace_an': -2}
  • id: 32801592
    {'hecke_orbit_code': 13510798915667864, 'n': 12, 'trace_an': 0}
  • id: 32801593
    {'hecke_orbit_code': 13510798915667864, 'n': 13, 'trace_an': 1}
  • id: 32801594
    {'hecke_orbit_code': 13510798915667864, 'n': 14, 'trace_an': 0}
  • id: 32801595
    {'hecke_orbit_code': 13510798915667864, 'n': 15, 'trace_an': 0}
  • id: 32801596
    {'hecke_orbit_code': 13510798915667864, 'n': 16, 'trace_an': 0}
  • id: 32801597
    {'hecke_orbit_code': 13510798915667864, 'n': 17, 'trace_an': -4}
  • id: 32801598
    {'hecke_orbit_code': 13510798915667864, 'n': 18, 'trace_an': 0}
  • id: 32801599
    {'hecke_orbit_code': 13510798915667864, 'n': 19, 'trace_an': -1}
  • id: 32801600
    {'hecke_orbit_code': 13510798915667864, 'n': 20, 'trace_an': 0}
  • id: 32801601
    {'hecke_orbit_code': 13510798915667864, 'n': 21, 'trace_an': 0}
  • id: 32801602
    {'hecke_orbit_code': 13510798915667864, 'n': 22, 'trace_an': 0}
  • id: 32801603
    {'hecke_orbit_code': 13510798915667864, 'n': 23, 'trace_an': -8}
  • id: 32801604
    {'hecke_orbit_code': 13510798915667864, 'n': 24, 'trace_an': 0}
  • id: 32801605
    {'hecke_orbit_code': 13510798915667864, 'n': 25, 'trace_an': -1}
  • id: 32801606
    {'hecke_orbit_code': 13510798915667864, 'n': 26, 'trace_an': 0}
  • id: 32801607
    {'hecke_orbit_code': 13510798915667864, 'n': 27, 'trace_an': 0}
  • id: 32801608
    {'hecke_orbit_code': 13510798915667864, 'n': 28, 'trace_an': 0}
  • id: 32801609
    {'hecke_orbit_code': 13510798915667864, 'n': 29, 'trace_an': 6}
  • id: 32801610
    {'hecke_orbit_code': 13510798915667864, 'n': 30, 'trace_an': 0}
  • id: 32801611
    {'hecke_orbit_code': 13510798915667864, 'n': 31, 'trace_an': -7}
  • id: 32801612
    {'hecke_orbit_code': 13510798915667864, 'n': 32, 'trace_an': 0}
  • id: 32801613
    {'hecke_orbit_code': 13510798915667864, 'n': 33, 'trace_an': 0}
  • id: 32801614
    {'hecke_orbit_code': 13510798915667864, 'n': 34, 'trace_an': 0}
  • id: 32801615
    {'hecke_orbit_code': 13510798915667864, 'n': 35, 'trace_an': -6}
  • id: 32801616
    {'hecke_orbit_code': 13510798915667864, 'n': 36, 'trace_an': 0}
  • id: 32801617
    {'hecke_orbit_code': 13510798915667864, 'n': 37, 'trace_an': 3}
  • id: 32801618
    {'hecke_orbit_code': 13510798915667864, 'n': 38, 'trace_an': 0}
  • id: 32801619
    {'hecke_orbit_code': 13510798915667864, 'n': 39, 'trace_an': 0}
  • id: 32801620
    {'hecke_orbit_code': 13510798915667864, 'n': 40, 'trace_an': 0}
  • id: 32801621
    {'hecke_orbit_code': 13510798915667864, 'n': 41, 'trace_an': 6}
  • id: 32801622
    {'hecke_orbit_code': 13510798915667864, 'n': 42, 'trace_an': 0}
  • id: 32801623
    {'hecke_orbit_code': 13510798915667864, 'n': 43, 'trace_an': 7}
  • id: 32801624
    {'hecke_orbit_code': 13510798915667864, 'n': 44, 'trace_an': 0}
  • id: 32801625
    {'hecke_orbit_code': 13510798915667864, 'n': 45, 'trace_an': 0}
  • id: 32801626
    {'hecke_orbit_code': 13510798915667864, 'n': 46, 'trace_an': 0}
  • id: 32801627
    {'hecke_orbit_code': 13510798915667864, 'n': 47, 'trace_an': 6}
  • id: 32801628
    {'hecke_orbit_code': 13510798915667864, 'n': 48, 'trace_an': 0}
  • id: 32801629
    {'hecke_orbit_code': 13510798915667864, 'n': 49, 'trace_an': 2}
  • id: 32801630
    {'hecke_orbit_code': 13510798915667864, 'n': 50, 'trace_an': 0}
  • id: 32801631
    {'hecke_orbit_code': 13510798915667864, 'n': 51, 'trace_an': 0}
  • id: 32801632
    {'hecke_orbit_code': 13510798915667864, 'n': 52, 'trace_an': 0}
  • id: 32801633
    {'hecke_orbit_code': 13510798915667864, 'n': 53, 'trace_an': -14}
  • id: 32801634
    {'hecke_orbit_code': 13510798915667864, 'n': 54, 'trace_an': 0}
  • id: 32801635
    {'hecke_orbit_code': 13510798915667864, 'n': 55, 'trace_an': 4}
  • id: 32801636
    {'hecke_orbit_code': 13510798915667864, 'n': 56, 'trace_an': 0}
  • id: 32801637
    {'hecke_orbit_code': 13510798915667864, 'n': 57, 'trace_an': 0}
  • id: 32801638
    {'hecke_orbit_code': 13510798915667864, 'n': 58, 'trace_an': 0}
  • id: 32801639
    {'hecke_orbit_code': 13510798915667864, 'n': 59, 'trace_an': -2}
  • id: 32801640
    {'hecke_orbit_code': 13510798915667864, 'n': 60, 'trace_an': 0}
  • id: 32801641
    {'hecke_orbit_code': 13510798915667864, 'n': 61, 'trace_an': -14}
  • id: 32801642
    {'hecke_orbit_code': 13510798915667864, 'n': 62, 'trace_an': 0}
  • id: 32801643
    {'hecke_orbit_code': 13510798915667864, 'n': 63, 'trace_an': 0}
  • id: 32801644
    {'hecke_orbit_code': 13510798915667864, 'n': 64, 'trace_an': 0}
  • id: 32801645
    {'hecke_orbit_code': 13510798915667864, 'n': 65, 'trace_an': -2}
  • id: 32801646
    {'hecke_orbit_code': 13510798915667864, 'n': 66, 'trace_an': 0}
  • id: 32801647
    {'hecke_orbit_code': 13510798915667864, 'n': 67, 'trace_an': 8}
  • id: 32801648
    {'hecke_orbit_code': 13510798915667864, 'n': 68, 'trace_an': 0}
  • id: 32801649
    {'hecke_orbit_code': 13510798915667864, 'n': 69, 'trace_an': 0}
  • id: 32801650
    {'hecke_orbit_code': 13510798915667864, 'n': 70, 'trace_an': 0}
  • id: 32801651
    {'hecke_orbit_code': 13510798915667864, 'n': 71, 'trace_an': -10}
  • id: 32801652
    {'hecke_orbit_code': 13510798915667864, 'n': 72, 'trace_an': 0}
  • id: 32801653
    {'hecke_orbit_code': 13510798915667864, 'n': 73, 'trace_an': -14}
  • id: 32801654
    {'hecke_orbit_code': 13510798915667864, 'n': 74, 'trace_an': 0}
  • id: 32801655
    {'hecke_orbit_code': 13510798915667864, 'n': 75, 'trace_an': 0}
  • id: 32801656
    {'hecke_orbit_code': 13510798915667864, 'n': 76, 'trace_an': 0}
  • id: 32801657
    {'hecke_orbit_code': 13510798915667864, 'n': 77, 'trace_an': -6}
  • id: 32801658
    {'hecke_orbit_code': 13510798915667864, 'n': 78, 'trace_an': 0}
  • id: 32801659
    {'hecke_orbit_code': 13510798915667864, 'n': 79, 'trace_an': -5}
  • id: 32801660
    {'hecke_orbit_code': 13510798915667864, 'n': 80, 'trace_an': 0}
  • id: 32801661
    {'hecke_orbit_code': 13510798915667864, 'n': 81, 'trace_an': 0}
  • id: 32801662
    {'hecke_orbit_code': 13510798915667864, 'n': 82, 'trace_an': 0}
  • id: 32801663
    {'hecke_orbit_code': 13510798915667864, 'n': 83, 'trace_an': 8}
  • id: 32801664
    {'hecke_orbit_code': 13510798915667864, 'n': 84, 'trace_an': 0}
  • id: 32801665
    {'hecke_orbit_code': 13510798915667864, 'n': 85, 'trace_an': 8}
  • id: 32801666
    {'hecke_orbit_code': 13510798915667864, 'n': 86, 'trace_an': 0}
  • id: 32801667
    {'hecke_orbit_code': 13510798915667864, 'n': 87, 'trace_an': 0}
  • id: 32801668
    {'hecke_orbit_code': 13510798915667864, 'n': 88, 'trace_an': 0}
  • id: 32801669
    {'hecke_orbit_code': 13510798915667864, 'n': 89, 'trace_an': -6}
  • id: 32801670
    {'hecke_orbit_code': 13510798915667864, 'n': 90, 'trace_an': 0}
  • id: 32801671
    {'hecke_orbit_code': 13510798915667864, 'n': 91, 'trace_an': 3}
  • id: 32801672
    {'hecke_orbit_code': 13510798915667864, 'n': 92, 'trace_an': 0}
  • id: 32801673
    {'hecke_orbit_code': 13510798915667864, 'n': 93, 'trace_an': 0}
  • id: 32801674
    {'hecke_orbit_code': 13510798915667864, 'n': 94, 'trace_an': 0}
  • id: 32801675
    {'hecke_orbit_code': 13510798915667864, 'n': 95, 'trace_an': 2}
  • id: 32801676
    {'hecke_orbit_code': 13510798915667864, 'n': 96, 'trace_an': 0}
  • id: 32801677
    {'hecke_orbit_code': 13510798915667864, 'n': 97, 'trace_an': -7}
  • id: 32801678
    {'hecke_orbit_code': 13510798915667864, 'n': 98, 'trace_an': 0}
  • id: 32801679
    {'hecke_orbit_code': 13510798915667864, 'n': 99, 'trace_an': 0}
  • id: 32801680
    {'hecke_orbit_code': 13510798915667864, 'n': 100, 'trace_an': 0}