Newform data - 1425.2.a.h

Formats: - HTML - YAML - JSON - 2026-08-16T10:13:22.019856

• 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': 5700, 'analytic_conductor': 11.378682288032454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [19, 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': [1425, 1, [476, 1027, 1351], [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': [[2, [-1, 1]], [7, [0, 1]], [11, [-5, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525197425149329, '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': '1425.2.a.h', 'level': 1425, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '1425.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{3}-q^{4}+q^{6}-3q^{8}+q^{9}+\\cdots', 'related_objects': ['EllipticCurve/Q/1425/h'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1425.2.a', 'trace_display': [1, 1, 0, 0], 'trace_hash': 2113985707033383555, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, {'__RealLiteral__': 0, 'data': '0.987', 'prec': 10}, {'__RealLiteral__': 0, 'data': '0.060', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.941', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.253', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 7}, 'traces': [1, 1, 1, -1, 0, 1, 0, -3, 1, 0, 5, -1, -4, 0, 0, -1, 4, 1, -1, 0, 0, 5, 9, -3, 0, -4, 1, 0, 7, 0, 3, 5, 5, 4, 0, -1, 10, -1, -4, 0, -2, 0, -4, -5, 0, 9, -8, -1, -7, 0, 4, 4, -11, 1, 0, 0, -1, 7, 8, 0, 13, 3, 0, 7, 0, 5, -9, -4, 9, 0, 10, -3, 5, 10, 0, 1, 0, -4, -15, 0, 1, -2, -9, 0, 0, -4, 7, -15, 3, 0, 0, -9, 3, -8, 0, 5, 10, -7, 5, 0, 0, 4, 13, 12, 0, -11, -6, -1, -10, 0, 10, 0, 1, -1, 0, -7, -4, 8, 0, 0, 14, 13, -2, -3, 0, 0, -13, -3, -4, 0, 3, -5, 0, -9, 0, -12, -12, 9, 14, 0, -8, 10, -20, -1, 0, 5, -7, -10, 16, 0, -8, 3, 4, 0, 0, 4, -2, -15, -11, 0, 0, 1, -14, 2, 0, -9, -6, 0, 3, 0, -1, 4, 3, 7, 0, -5, 8, 3, -4, 0, -16, 0, 13, -27, 0, 3, 20, 8, 0, 0, -17, 7, -14, 10, 0, 7, -12, 5, 22, 0, -9, 0, 0, -4, 0, 13, 9, 4, -5, 0, 11, 11, 10, -6, 0, -3, 0, 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3, -21, -12, 0, 14, 0, -13, 18, 0, 55, -4, 0, 0, 0, 1, 16, -30, -48, 0, 0, 55, -71, -30, 0, 25, 2, 0, -30, 0, -37, -51, 50, 27, 0, 36, 17, -3, 7, 0, -48, 7, 64, -30, 0, 3, 20, 3, 0, 0, 29, -49, 56, 12, 0, 0, 17, 70, 117, 0, 57, -20, 0, 36, 0, -15, -36, -14, -52, 0, 16, 29, -79, -16, 0, 38, 0, -22, -48, 0, 14, 108, 9, 0, 0, 44, -32, -50, 55, 0, 49, 49, 3, 10, 0, 3, -63, 0, 25, 0, -45, 9, 13, 40, 0, 8, 90, -12, -16, 0, 14, 0, -32, 0, 0, 45, -44, 1, 0, 0, -80, 3, -51, -30, 0, 0, -43, -99, 10, 0, -28, 50, 0, -32, 0, -61, 66, -4, -45, 0, 4, -26, 5, -34, 0, -69, 0, -69, -22, 0, -54, 0, 18, 0, 0, -12, 16, -42, -2, 0, 0, -39, 44, -48, 0, -32, -66, 0, -90, 0, -8, 20, 68, -9, 0, 5, 30, -72, -3, 0, 88, 0, -33, -28, 0, -28, -110, -32, -28, 0, -26, 14, 72, -39, 0, 0, -90, 5, 56, 0, 3, 2, 0, 28, 0, -40, -20, 15, 105, 0, -16, -40, 20, -28, 0, -26, 0, -75, -15, 0, 15, -11, 64, 0, 0, 3, -32, -8, 75, 0, 0, -6, -32, 11, 0, 9, 0, -28, 39, 0, 36, -105, 90, -60, 0, -10, 98, 14, 42, 0, 48, 0, 0, 42, 0, -32, -32, 18, 0, 0, 10, 30, -27, -20, 0, 0, 22, -30, -58, 0, 21, -52, 0, 12, 0, 6, -88, -31, 20, 0, 15, 5, 49, -11, 0, -40, 77, 26, 9, 0, -1, -50, 12, 0, 0, -12, -75, 14, -84, 0, 0, 16, 36, -2, 0, 30, -58, 0, 10, 0, -98, -9, -52, -14, 0, 0, 100, -5, 40, 0, 6, 0, 18, 37, 0, 4, -9, 60, 0, 0, -14, -34, 32, -16, 0, -7, 80, 9, 34, 0, 20, 16, 0, -46, 0, -45, 92, 15, 39, 0, 0, 15, -8, -30, 0, -12, 0, -63, -8, 0, -52, 6, 5, 0, 0, -1, 10, -52, 8, 0, 0, 16, -96, -65, 0, -60, -54, 0, -48, 0, -36, 36, 1, -7, 0, -24, 21, -10, -19, 0, 50, 0, -44, -3, 0, -10, -14, 27, 0, 0, 2, -3, 10, 72, 0, 0, 20, -8, 8, 0, 24, 51, 0, 22, 0, -56, 0, -45, 21, 0, 43, -6, 14, -10, 0, 1, 0, 63, -45, 0, -12, 14, -44, 0, 0, -54, 18, -21, 34, 0, 0, -28, -78, 4, 0, -44, -26, 0, 9, 0, -120, -50, 23, -10, 0, 12, -4, -3, -40, 0, -56, 0, -64, -5, 0, 60, -1, 12, 0, 0, 13, 24, 126, 35, 0, 0, 4, 8, 13, 0, -38, 51, 7, -65, 0, 0, -17, 47, 24, 0, 25, -7, -21, 8, 0, 117, 0, 12, 68, 0, -42, 10, 70, 0, 0, -85, 13, -42, -33, 0, 0, -36, 13, 36, 0, -2, -105, 0, -18, 0, -16, -8, 24, 40, 0, -13, -18, -20, -24, 0, 12, -49, -20, 15, 0, 38, -20, 15, 0, 0, -72, -27, -1, 2, 0, 0, 85, -10, -17, 0, 50, -11, 0, 4, 0, -57, -104, -8, 8, 0, 35, 0, 12, 15, 0, -15, 0, 46, 40, 0, 36, 15, -22, 0, 0, -40, -7, -3, -6, 0, -56, -4, 85, 32, 0, 16, 36, 0, -4, 0, -2, 3, 86, -42, 0, 30, -4, 2, 58, 0, -20, 0, -36, -24, 0, -1, 74, 55, 0, 0, -117, -8, -150, 16, 0, 0, -27, -13, 0, 0, -2, -1, 0, -14, 0, 54, 15, -4, -58, 0, 12, -25, -10, -27, 0, 28, 0, 45, 42, 0, 88, 6, 16, 0, 0, -4, -86, 28, 70, 0, 0, -13, 32, -4, 0, 22, -36, 0, 12, 0, 20, -40, 5, 48, 0, 15, -84, -66, -3, 0, 50, 0, 2, -60, 0, -22, 91, 9, -91, 0, -3, -20, -10, -32, 0, 0, 10, -60, -7, 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], [1], [1], [-1], [0], [1], [0], [-3], [1], [0], [5], [-1], [-4], [0], [0], [-1], [4], [1], [-1], [0], [0], [5], [9], [-3], [0], [-4], [1], [0], [7], [0], [3], [5], [5], [4], [0], [-1], [10], [-1], [-4], [0], [-2], [0], [-4], [-5], [0], [9], [-8], [-1], [-7], [0], [4], [4], [-11], [1], [0], [0], [-1], [7], [8], [0], [13], [3], [0], [7], [0], [5], [-9], [-4], [9], [0], [10], [-3], [5], [10], [0], [1], [0], [-4], [-15], [0], [1], [-2], [-9], [0], [0], [-4], [7], [-15], [3], [0], [0], [-9], [3], [-8], [0], [5], [10], [-7], [5], [0]], 'ap': [[1], [1], [0], [0], [5], [-4], [4], [-1], [9], [7], [3], [10], [-2], [-4], [-8], [-11], [8], [13], [-9], [10], [5], [-15], [-9], [3], [10], [0], [13], [-6], [-10], [1], [-13], [3], [-12], [14], [16], [-8], [-2], [-14], [-6], [3], [-4], [-16], [-17], [-14], [-12], [22], [11], [1], [-22], [21], [0], [8], [4], [-24], [-21], [17], [14], [10], [-33], [-15], [0], [-9], [23], [24], [13], [-1], [-3], [8], [-20], [-17], [-12], [0], [-18], [20], [-8], [18], [-30], [29], [3], [-34], [28], [-26], [6], [26], [37], [15], [-7], [14], [12], [12], [-7], [15], [-8], [28], [-32], [-28], [-7], [-41], [-28], [-21], [-31], [0], [-30], [6], [14], [13], [3], [20], [-44], [-10], [-1], [26], [42], [32], [28], [-42], [-30], [31], [-16], [-4], [16], [-36], [-27], [6], [10], [-8], [13], [15], [-2], [1], [4], [40], [16], [-7], [-30], [-37], [18], [29], [14], [-44], [-51], [18], [-2], [-8], [30], [-20], [42], [10], [22], [20], [6], [32], [34], [0], [24], [14], [-26], [4], [-42], [13], [12], [-17], [-2], [-36], [-2], [42], [5], [-3], [-46], [-46], [-36], [28], [12], [-45], [-29], [42], [-36], [54], [-8], [-23], [-38], [46], [-34], [23], [27], [-40], [36], [-19], [-28], [-19], [32], [1], [-51], [-49], [36], [38], [49], [45], [-30], [-61], [-69], [0], [-48], [-32], [15], [-60], [14], [-32], [-30], [-52], [-11], [-50], [-12], [-2], [60], [-34], [-46], [51], [-10], [-54], [-50], [47], [-42], [38], [2], [-10], [-57], [46], [32], [3], [30], [55], [-25], [-13], [22], [48], [-66], [-22], [-60], [-18], [-48], [0], [2], [54], [6], [-67], [-68], [-22], [77], [43], [-31], [-58], [-3], [66], [-52], [27], [22], [73], [6], [22], [47], [32], [-25], [-42], [30], [-71], [-46], [28], [25], [28], [32], [83], [25], [-6], [12], [-44], [63], [0], [36], [57], [-16], [16], [32], [-6], [-48], [60], [-1], [3], [-40], [-15], [46], [83], [-6], [30], [-56], [-6], [-52], [48], [6], [-62], [-9], [-35], [46], [-24], [46], [-44], [24], [-40], [45], [39], [39], [-54], [3], [1], [8], [40], [21], [-30], [30], [66], [56], [22], [-34], [56], [-12], [22], [-28], [-4], [24], [-50], [63], [1], [68], [-37], [-58], [-67], [14], [-91], [89], [84], [56], [-22], [39], [69], [-71], [-30], [-37], [17], [-48], [20], [57], [-36], [16], [-79], [-48], [9], [55], [-45], [90], [-32], [-43], [-28], [66], [-22], [16], [44], [-66], [72], [-16], [15], [75], [-32], [39], [36], [98], [-58], [15], [49], [-84], [-58], [-98], [18], [80], [92], [39], [-8], [-52], [10], [-96], [-54], [-48], [1], [-19], [-14], [2], [10], [8], [21], [43], [-12], [34], [-78], [-4], [-1], [13], [-38], [-17], [25], [-21], [-33], [24], [-18], [-20], [-72], [85], [50], [40], [-7], [36], [86], [58], [74], [-27], [-58], [16], [-86], [32], [12], [20], [-7]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 31525197425149329, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1425.2.a.h', 'level': 1425, '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': [6, 7, 7, 9, 9, 4, 5, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [16, 17, 19, 14, 17, 19, 16, 13], 'Nk2': 5700, 'analytic_conductor': 11.378682288032454, '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': [1425, 1, [476, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 189, 'dim': 58, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33555857, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 7, 7], 'label': '1425.2.a', 'level': 1425, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 19], 'level_radical': 285, 'mf_dim': 212, 'mf_new_dim': 58, 'num_forms': 26, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 58, 'sturm_bound': 400, 'trace_bound': 11, 'trace_display': [-2, 0, 0, 2], 'traces': [58, -2, 0, 56, 0, 2, 2, -6, 58, 0, -10, 8, 4, 12, 0, 76, 14, -2, 4, 0, 0, -8, -4, -6, 0, -12, 0, 12, -32, 0, 12, -14, 8, 0, 0, 56, 0, 0, 16, 0, -4, 8, -14, -64, 0, -36, -14, 32, 88, 0, -4, 56, -8, 2, 0, 24, -2, 16, 16, 0, -6, 40, 2, 20, 0, 20, -24, 60, 4, 0, 24, -6, 22, -60, 0, 10, 6, -20, 8, 0, 58, -16, -36, -8, 0, -44, -4, -20, 0, 0, 20, -60, 0, -56, 0, 10, 60, 18, -10, 0, -60, -4, -28, 12, 0, 24, -28, 8, -136, 0, 24, -8, -16, 4, 0, -148, 4, 8, 10, 0, 72, -24, -36, 128, 0, 12, -20, 26, 32, 0, 34, 36, -2, -8, 0, -20, -18, -52, 18, 0, 16, 0, -12, 76, 0, 8, 48, 8, -74, 0, -32, -12, 14, -92, 0, 72, 84, 32, -44, 0, -40, -2, 16, 52, 0, 12, -28, -16, 86, 0, 4, -84, -32, 24, 0, -156, -8, 0, -92, 0, -100, -160, 24, 28, 0, -72, -54, -32, 0, 0, -138, 24, -16, -4, 0, 140, 52, -8, 58, 0, 48, -12, 20, -48, 0, 64, -4, 32, -30, 0, 0, -100, -24, -80, 0, -6, 44, 36, 32, 0, -12, -12, -32, 64, 0, -56, 44, -6, 46, 0, -52, 96, 34, -12, 0, 160, 16, 44, 14, 0, 8, 10, 0, -116, 0, -160, -16, 64, -12, 0, -6, 12, -8, -40, 0, -92, 52, -16, 104, 0, -32, -80, 50, -52, 0, -28, -52, -104, 24, 0, -8, 88, 56, -96, 0, -4, 6, 12, 12, 0, -32, 68, -14, 16, 0, 80, 56, -14, 44, 0, 32, 12, 12, -22, 0, -204, 8, -112, -8, 0, 38, -24, 48, 22, 0, 0, 72, 196, 8, 0, 98, 12, 52, 4, 0, -128, 20, -88, -92, 0, 48, 160, 14, 56, 0, 40, 24, -40, 2, 0, 8, -156, 0, 80, 0, 104, 36, -78, 44, 0, 76, 0, 46, -344, 0, -192, -54, 52, 14, 0, 16, -84, 76, -128, 0, -196, -36, -128, -74, 0, 58, 28, -56, -112, 0, 124, 0, -124, -4, 0, 84, -8, -56, -92, 0, 28, -56, 8, -20, 0, 32, 112, -52, 50, 0, -228, -14, -72, 138, 0, 80, -70, 24, -84, 0, -64, -106, -164, 16, 0, -292, 80, -32, -112, 0, -48, 80, -60, -76, 0, -28, 8, 8, -36, 0, -276, 16, 16, 124, 0, 76, -64, -14, -40, 0, -24, -18, -112, 8, 0, 28, 32, 140, 136, 0, -104, 12, -20, 84, 0, 88, -8, -222, 128, 0, 200, -52, 40, -76, 0, 168, -4, 24, -168, 0, 12, -118, 80, -4, 0, -74, -72, 78, -252, 0, 88, -126, 56, 168, 0, -16, 24, -74, -40, 0, -60, -8, 96, -84, 0, -64, 156, 24, -36, 0, 2, -32, -52, 40, 0, 84, -44, 100, 40, 0, 392, -160, -76, -82, 0, -24, 56, 76, 24, 0, 288, 0, -128, 176, 0, -86, 194, -2, 208, 0, -16, -22, 104, 132, 0, -196, 16, 108, 344, 0, -120, 84, 60, 210, 0, 16, -36, 16, 112, 0, -104, 24, 160, -96, 0, -86, 128, -8, -76, 0, -32, -4, -44, -6, 0, -4, -68, -112, 16, 0, -12, 118, 40, 252, 0, 0, -88, -160, -84, 0, 436, 2, 80, -208, 0, 96, 128, -64, 8, 0, 20, -14, -50, 32, 0, 184, 20, 44, -68, 0, -160, 138, 72, 12, 0, 24, -24, 92, 20, 0, -60, 0, -32, 160, 0, -120, -12, -24, 160, 0, 60, -36, 36, -72, 0, 172, 60, -26, 160, 0, -328, -178, 176, 96, 0, 4, 224, 84, -88, 0, 340, -8, -72, -152, 0, 386, 160, 32, -136, 0, -12, 8, 248, 24, 0, -112, -64, 18, 160, 0, 20, 126, -6, -48, 0, 152, 8, -154, -148, 0, 372, 22, 172, 52, 0, -24, -160, 56, 4, 0, -60, 8, 184, 32, 0, 270, -120, 16, 188, 0, 152, 48, -48, 180, 0, -192, -96, -12, 10, 0, -84, 72, -152, -368, 0, 206, -28, 6, 0, 0, -328, -128, 128, 12, 0, -44, -20, -20, -4, 0, -260, -12, -80, -140, 0, 8, -112, -256, -216, 0, 56, 80, -64, 54, 0, -348, -2, 64, -552, 0, 2, -10, -184, 58, 0, -254, -160, -68, 368, 0, -92, -208, -16, 170, 0, 12, 16, -8, -120, 0, 68, -36, 228, -204, 0, -24, -132, 56, -48, 0, -8, -14, 72, -8, 0, -354, -24, -152, -176, 0, -376, 144, -48, -422, 0, 44, 40, 52, -44, 0, 308, -56, -80, 0, 0, 104, -88, -4, 156, 0, -140, -40, 104, 40, 0, 300, -20, -4, 72, 0, 92, -4, -8, -10, 0, 0, -64, 98, -16, 0, 160, -28, 188, 74, 0, 188, -232, 16, 200, 0, -192, 14, -28, 20, 0, -354, -4, 10, 296, 0, 296, -48, -60, -48, 0, -72, 32, 12, 152, 0, -160, 0, -36, 276, 0, -66, 108, 44, -8, 0, -56, 92, -268, 112, 0, -72, 64, -44, 492, 0, 96, -108, -56, -6, 0, 88, -64, 120, 10, 0, 308, -40, 120, -240, 0, -112, 100, 60, 44, 0, -16, 84, 344, -84, 0, 30, 18, 34, -24, 0, 216, 208, -28, -92, 0, -10, -96, 6, -108, 0, -32, 48, -104, 32, 0, -36, 128, 104, -48, 0, 232, 20, -136, -60, 0, 228, 2, 8, 0, 0, 300, 82, -4, 104, 0, 168, -288, 80, -272, 0, 228, -28, 216, -100, 0, -2, 244, -112, 88, 0, 12, -162, -96, 160, 0, 80, 84, 184, 288, 0, 228, 4, 64, 92, 0, 4, -96, 68, 24, 0, 312, -104, -220, -310, 0, 186, -24, -28, 112, 0, -160, 208, -366, 8, 0, 168, 8, -226, 488, 0, 112, 32, -160, -188, 0, -136, 124, 120, -112, 0, 152, -76, -52, -104, 0, -136, -112, -80, -8, 0, -92, 182, -412, 24, 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: 730738
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 8, 'source_is_minimal': True, 'source_label': '1425.2.a.h', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1425.2.a.b', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 730739
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 8, 'source_is_minimal': True, 'source_label': '1425.2.a.h', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '1425.2.a.h', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 730740
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 8, 'source_is_minimal': True, 'source_label': '1425.2.a.h', 'source_level': 1425, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1425.2.c.h', 'target_level': 1425, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 730741
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 8, 'source_is_minimal': True, 'source_label': '1425.2.a.h', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4275.2.a.f', 'target_level': 4275, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 730742
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 8, 'source_is_minimal': True, 'source_label': '1425.2.a.h', 'source_level': 1425, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '4275.2.a.l', 'target_level': 4275, 'twist_class_label': '1425.2.a.b', 'twist_class_level': 1425, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1938500
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 2}
  • id: 1938501
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 3}
  • id: 1938502
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 5}
  • id: 1938503
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 7}
  • id: 1938504
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 11}
  • id: 1938505
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 13}
  • id: 1938506
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 17}
  • id: 1938507
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 19}
  • id: 1938508
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 23}
  • id: 1938509
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 29}
  • id: 1938510
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 31}
  • id: 1938511
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 37}
  • id: 1938512
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 41}
  • id: 1938513
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 43}
  • id: 1938514
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 47}
  • id: 1938515
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 53}
  • id: 1938516
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 59}
  • id: 1938517
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 61}
  • id: 1938518
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 67}
  • id: 1938519
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 71}
  • id: 1938520
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 73}
  • id: 1938521
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 79}
  • id: 1938522
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 83}
  • id: 1938523
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 31525197425149329, 'p': 89}
  • id: 1938524
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 31525197425149329, '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': 8, 'label': '1425.2.a.h', 'level': 1425, 'portrait': 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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: 47912125
    {'hecke_orbit_code': 31525197425149329, 'n': 1, 'trace_an': 1}
  • id: 47912126
    {'hecke_orbit_code': 31525197425149329, 'n': 2, 'trace_an': 1}
  • id: 47912127
    {'hecke_orbit_code': 31525197425149329, 'n': 3, 'trace_an': 1}
  • id: 47912128
    {'hecke_orbit_code': 31525197425149329, 'n': 4, 'trace_an': -1}
  • id: 47912129
    {'hecke_orbit_code': 31525197425149329, 'n': 5, 'trace_an': 0}
  • id: 47912130
    {'hecke_orbit_code': 31525197425149329, 'n': 6, 'trace_an': 1}
  • id: 47912131
    {'hecke_orbit_code': 31525197425149329, 'n': 7, 'trace_an': 0}
  • id: 47912132
    {'hecke_orbit_code': 31525197425149329, 'n': 8, 'trace_an': -3}
  • id: 47912133
    {'hecke_orbit_code': 31525197425149329, 'n': 9, 'trace_an': 1}
  • id: 47912134
    {'hecke_orbit_code': 31525197425149329, 'n': 10, 'trace_an': 0}
  • id: 47912135
    {'hecke_orbit_code': 31525197425149329, 'n': 11, 'trace_an': 5}
  • id: 47912136
    {'hecke_orbit_code': 31525197425149329, 'n': 12, 'trace_an': -1}
  • id: 47912137
    {'hecke_orbit_code': 31525197425149329, 'n': 13, 'trace_an': -4}
  • id: 47912138
    {'hecke_orbit_code': 31525197425149329, 'n': 14, 'trace_an': 0}
  • id: 47912139
    {'hecke_orbit_code': 31525197425149329, 'n': 15, 'trace_an': 0}
  • id: 47912140
    {'hecke_orbit_code': 31525197425149329, 'n': 16, 'trace_an': -1}
  • id: 47912141
    {'hecke_orbit_code': 31525197425149329, 'n': 17, 'trace_an': 4}
  • id: 47912142
    {'hecke_orbit_code': 31525197425149329, 'n': 18, 'trace_an': 1}
  • id: 47912143
    {'hecke_orbit_code': 31525197425149329, 'n': 19, 'trace_an': -1}
  • id: 47912144
    {'hecke_orbit_code': 31525197425149329, 'n': 20, 'trace_an': 0}
  • id: 47912145
    {'hecke_orbit_code': 31525197425149329, 'n': 21, 'trace_an': 0}
  • id: 47912146
    {'hecke_orbit_code': 31525197425149329, 'n': 22, 'trace_an': 5}
  • id: 47912147
    {'hecke_orbit_code': 31525197425149329, 'n': 23, 'trace_an': 9}
  • id: 47912148
    {'hecke_orbit_code': 31525197425149329, 'n': 24, 'trace_an': -3}
  • id: 47912149
    {'hecke_orbit_code': 31525197425149329, 'n': 25, 'trace_an': 0}
  • id: 47912150
    {'hecke_orbit_code': 31525197425149329, 'n': 26, 'trace_an': -4}
  • id: 47912151
    {'hecke_orbit_code': 31525197425149329, 'n': 27, 'trace_an': 1}
  • id: 47912152
    {'hecke_orbit_code': 31525197425149329, 'n': 28, 'trace_an': 0}
  • id: 47912153
    {'hecke_orbit_code': 31525197425149329, 'n': 29, 'trace_an': 7}
  • id: 47912154
    {'hecke_orbit_code': 31525197425149329, 'n': 30, 'trace_an': 0}
  • id: 47912155
    {'hecke_orbit_code': 31525197425149329, 'n': 31, 'trace_an': 3}
  • id: 47912156
    {'hecke_orbit_code': 31525197425149329, 'n': 32, 'trace_an': 5}
  • id: 47912157
    {'hecke_orbit_code': 31525197425149329, 'n': 33, 'trace_an': 5}
  • id: 47912158
    {'hecke_orbit_code': 31525197425149329, 'n': 34, 'trace_an': 4}
  • id: 47912159
    {'hecke_orbit_code': 31525197425149329, 'n': 35, 'trace_an': 0}
  • id: 47912160
    {'hecke_orbit_code': 31525197425149329, 'n': 36, 'trace_an': -1}
  • id: 47912161
    {'hecke_orbit_code': 31525197425149329, 'n': 37, 'trace_an': 10}
  • id: 47912162
    {'hecke_orbit_code': 31525197425149329, 'n': 38, 'trace_an': -1}
  • id: 47912163
    {'hecke_orbit_code': 31525197425149329, 'n': 39, 'trace_an': -4}
  • id: 47912164
    {'hecke_orbit_code': 31525197425149329, 'n': 40, 'trace_an': 0}
  • id: 47912165
    {'hecke_orbit_code': 31525197425149329, 'n': 41, 'trace_an': -2}
  • id: 47912166
    {'hecke_orbit_code': 31525197425149329, 'n': 42, 'trace_an': 0}
  • id: 47912167
    {'hecke_orbit_code': 31525197425149329, 'n': 43, 'trace_an': -4}
  • id: 47912168
    {'hecke_orbit_code': 31525197425149329, 'n': 44, 'trace_an': -5}
  • id: 47912169
    {'hecke_orbit_code': 31525197425149329, 'n': 45, 'trace_an': 0}
  • id: 47912170
    {'hecke_orbit_code': 31525197425149329, 'n': 46, 'trace_an': 9}
  • id: 47912171
    {'hecke_orbit_code': 31525197425149329, 'n': 47, 'trace_an': -8}
  • id: 47912172
    {'hecke_orbit_code': 31525197425149329, 'n': 48, 'trace_an': -1}
  • id: 47912173
    {'hecke_orbit_code': 31525197425149329, 'n': 49, 'trace_an': -7}
  • id: 47912174
    {'hecke_orbit_code': 31525197425149329, 'n': 50, 'trace_an': 0}
  • id: 47912175
    {'hecke_orbit_code': 31525197425149329, 'n': 51, 'trace_an': 4}
  • id: 47912176
    {'hecke_orbit_code': 31525197425149329, 'n': 52, 'trace_an': 4}
  • id: 47912177
    {'hecke_orbit_code': 31525197425149329, 'n': 53, 'trace_an': -11}
  • id: 47912178
    {'hecke_orbit_code': 31525197425149329, 'n': 54, 'trace_an': 1}
  • id: 47912179
    {'hecke_orbit_code': 31525197425149329, 'n': 55, 'trace_an': 0}
  • id: 47912180
    {'hecke_orbit_code': 31525197425149329, 'n': 56, 'trace_an': 0}
  • id: 47912181
    {'hecke_orbit_code': 31525197425149329, 'n': 57, 'trace_an': -1}
  • id: 47912182
    {'hecke_orbit_code': 31525197425149329, 'n': 58, 'trace_an': 7}
  • id: 47912183
    {'hecke_orbit_code': 31525197425149329, 'n': 59, 'trace_an': 8}
  • id: 47912184
    {'hecke_orbit_code': 31525197425149329, 'n': 60, 'trace_an': 0}
  • id: 47912185
    {'hecke_orbit_code': 31525197425149329, 'n': 61, 'trace_an': 13}
  • id: 47912186
    {'hecke_orbit_code': 31525197425149329, 'n': 62, 'trace_an': 3}
  • id: 47912187
    {'hecke_orbit_code': 31525197425149329, 'n': 63, 'trace_an': 0}
  • id: 47912188
    {'hecke_orbit_code': 31525197425149329, 'n': 64, 'trace_an': 7}
  • id: 47912189
    {'hecke_orbit_code': 31525197425149329, 'n': 65, 'trace_an': 0}
  • id: 47912190
    {'hecke_orbit_code': 31525197425149329, 'n': 66, 'trace_an': 5}
  • id: 47912191
    {'hecke_orbit_code': 31525197425149329, 'n': 67, 'trace_an': -9}
  • id: 47912192
    {'hecke_orbit_code': 31525197425149329, 'n': 68, 'trace_an': -4}
  • id: 47912193
    {'hecke_orbit_code': 31525197425149329, 'n': 69, 'trace_an': 9}
  • id: 47912194
    {'hecke_orbit_code': 31525197425149329, 'n': 70, 'trace_an': 0}
  • id: 47912195
    {'hecke_orbit_code': 31525197425149329, 'n': 71, 'trace_an': 10}
  • id: 47912196
    {'hecke_orbit_code': 31525197425149329, 'n': 72, 'trace_an': -3}
  • id: 47912197
    {'hecke_orbit_code': 31525197425149329, 'n': 73, 'trace_an': 5}
  • id: 47912198
    {'hecke_orbit_code': 31525197425149329, 'n': 74, 'trace_an': 10}
  • id: 47912199
    {'hecke_orbit_code': 31525197425149329, 'n': 75, 'trace_an': 0}
  • id: 47912200
    {'hecke_orbit_code': 31525197425149329, 'n': 76, 'trace_an': 1}
  • id: 47912201
    {'hecke_orbit_code': 31525197425149329, 'n': 77, 'trace_an': 0}
  • id: 47912202
    {'hecke_orbit_code': 31525197425149329, 'n': 78, 'trace_an': -4}
  • id: 47912203
    {'hecke_orbit_code': 31525197425149329, 'n': 79, 'trace_an': -15}
  • id: 47912204
    {'hecke_orbit_code': 31525197425149329, 'n': 80, 'trace_an': 0}
  • id: 47912205
    {'hecke_orbit_code': 31525197425149329, 'n': 81, 'trace_an': 1}
  • id: 47912206
    {'hecke_orbit_code': 31525197425149329, 'n': 82, 'trace_an': -2}
  • id: 47912207
    {'hecke_orbit_code': 31525197425149329, 'n': 83, 'trace_an': -9}
  • id: 47912208
    {'hecke_orbit_code': 31525197425149329, 'n': 84, 'trace_an': 0}
  • id: 47912209
    {'hecke_orbit_code': 31525197425149329, 'n': 85, 'trace_an': 0}
  • id: 47912210
    {'hecke_orbit_code': 31525197425149329, 'n': 86, 'trace_an': -4}
  • id: 47912211
    {'hecke_orbit_code': 31525197425149329, 'n': 87, 'trace_an': 7}
  • id: 47912212
    {'hecke_orbit_code': 31525197425149329, 'n': 88, 'trace_an': -15}
  • id: 47912213
    {'hecke_orbit_code': 31525197425149329, 'n': 89, 'trace_an': 3}
  • id: 47912214
    {'hecke_orbit_code': 31525197425149329, 'n': 90, 'trace_an': 0}
  • id: 47912215
    {'hecke_orbit_code': 31525197425149329, 'n': 91, 'trace_an': 0}
  • id: 47912216
    {'hecke_orbit_code': 31525197425149329, 'n': 92, 'trace_an': -9}
  • id: 47912217
    {'hecke_orbit_code': 31525197425149329, 'n': 93, 'trace_an': 3}
  • id: 47912218
    {'hecke_orbit_code': 31525197425149329, 'n': 94, 'trace_an': -8}
  • id: 47912219
    {'hecke_orbit_code': 31525197425149329, 'n': 95, 'trace_an': 0}
  • id: 47912220
    {'hecke_orbit_code': 31525197425149329, 'n': 96, 'trace_an': 5}
  • id: 47912221
    {'hecke_orbit_code': 31525197425149329, 'n': 97, 'trace_an': 10}
  • id: 47912222
    {'hecke_orbit_code': 31525197425149329, 'n': 98, 'trace_an': -7}
  • id: 47912223
    {'hecke_orbit_code': 31525197425149329, 'n': 99, 'trace_an': 5}
  • id: 47912224
    {'hecke_orbit_code': 31525197425149329, 'n': 100, 'trace_an': 0}